Date | Match Up | Rating | Score | Result | Profit | Lead Time | Analysis |
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04-02-25 | Spurs +9.5 v. Nuggets | Top | 113-106 | Win | 100 | 8 h 22 m | Show |
Spurs vs Nuggets Last night, April 1, 2025, the Denver Nuggets suffered a heartbreaking 140-139 double-overtime loss to the Minnesota Timberwolves at Ball Arena, despite an extraordinary performance from Nikola Jokic. Jokic recorded a historic 61-point triple-double—61 points, 11 rebounds, and 10 assists—marking the highest-scoring triple-double in NBA history. The three-time MVP played over 52 minutes without leaving the court after halftime, shooting 18-of-29 from the field and 19-of-24 from the free-throw line. However, his heroics weren’t enough to secure the win. The game, which featured 21 lead changes and a playoff-like intensity, hinged on a chaotic final sequence in the second overtime. With the Nuggets leading 139-138, Russell Westbrook stole the ball but missed a layup, then fouled Nickeil Alexander-Walker on a three-point attempt with 0.1 seconds left. Alexander-Walker made two of three free throws to clinch the victory for Minnesota, who were led by Anthony Edwards’ 34 points, 10 rebounds, and 8 assists. The loss marked the Timberwolves’ sixth straight win over the Nuggets, including playoff matchups, despite Denver missing key starters Jamal Murray (hamstring) and Michael Porter Jr. (personal reasons). Jokic’s record-setting night was overshadowed by the team’s defeat, leaving Denver at 47-29 and Minnesota at 44-32 in the Western Conference standings. Without an official update, the best guess is he’s a game-time decision. Check the Nuggets’ injury report later today (usually posted by 5 PM EDT for a 9 PM EDT tip-off) or follow real-time updates from sources like ESPN or the team’s social media. Historically, Jokic has played in 11 of 14 back-to-backs this season when healthy, so the odds lean slightly toward him suiting up unless fatigue or a minor tweak from last night changes that. What do you think—should they rest him, or does he power through? The current market pricing will not get better and if he is not in the lineup tonight, this line will decline by as many as four points. |
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04-02-25 | Rockies v. Phillies OVER 7 | Top | 1-5 | Loss | -115 | 6 h 56 m | Show |
Rockies vs Phillies Zack Wheeler has been stellar when priced as a huge favorite. He is 12-2 SDU for 86% winners and 10-4 for 72% winners using the –1.5 run line when favored by –250 or more in gamers started over the past five seasons. The OVER has gone 9-5 in these starts and the Phillies are scoring many multiple-run innings. Tonight, April 2, 2025, the Philadelphia Phillies (3-1) host the Colorado Rockies (1-3) at Citizens Bank Park at 6:45 PM EDT, airing on NBCS-PH and COLR. After a convincing 6-1 victory over the Rockies on Monday, the Phillies are favored to dominate again, with a -329 moneyline, a -1.5 run line, and an over/under of 7.0. With ace Zack Wheeler on the mound against Colorado’s Kyle Freeland, advanced analytics and betting trends strongly support another easy Phillies win by 3 or more runs. Here’s the breakdown. Advanced Analytics: Why the Phillies Will Win Big The Phillies’ offensive and pitching edges, backed by advanced metrics, point to a lopsided outcome: Offensive Matchup Advantage The Phillies rank 4th in MLB with a .443 slugging percentage (SLG) and 1st with 214 hits through their first four games of 2025, per early-season stats. Their .276 team batting average and 1.2 HR/game (7th in MLB) exploit a Rockies pitching staff that posted a league-worst 1.522 WHIP last season and a 5.42 ERA in 2024. Colorado’s defense against right-handed pitching (like Wheeler) is abysmal: a .277 opponent batting average and 36.7% three-point defense (both bottom-10). Philadelphia’s lineup, featuring Bryce Harper (.285 BA, 30 HR in 2024) and Kyle Schwarber (.248 BA, 38 HR), thrives against lefties like Freeland, with a .329 wOBA and .241 ISO vs. LHP in 2024. Expect 8-10 hits and 2+ HRs tonight. Statcast data shows the Phillies’ average exit velocity (89.5 mph) and hard-hit rate (41.2%) dwarf Colorado’s 86.1 mph and 34.8%, signaling louder contact against Freeland’s middling stuff. Pitching Disparity Wheeler’s 2024 stats (16-7, 2.57 ERA, 0.955 WHIP, 10.4 K/9) reflect elite command, and his 6.0 IP, 1 ER debut vs. the Nationals last week confirms he’s in midseason form. His 2.38 ERA at home in 2023 and 4.79 ERA early in 2024 belie his dominance: a 27.8% strikeout rate and 6.2% walk rate vs. a Rockies lineup with a 28.1% K% (5th-highest) and a league-low 4.9% BB% against RHP. Freeland’s 2024 (3.80 ERA over 6 starts) improved from 2023 (5.36 ERA), but his 6.0 IP, 0 ER opener vs. Tampa Bay masks underlying issues: a 4.87 xFIP, 7.2 K/9, and a 40.1% hard-hit rate allowed. Against a Phillies offense that’s 19th in HRs (22) but 4th in SLG, Freeland’s 88-90 mph fastball and lack of swing-and-miss stuff (8.1% swinging-strike rate) spell trouble. Projections give him 4.5-5.0 IP with 3-5 ER. Run expectancy models (e.g., BaseRuns) project a 6.2-2.8 final score, with Wheeler suppressing Colorado’s .245 BA (17th) and .383 SLG (21st) offense. Park and Game Context Citizens Bank Park’s hitter-friendly dimensions (104 park factor for runs) amplify the Phillies’ power edge, while mid-50s weather with broken clouds favors Wheeler’s grip and spin (2,400 RPM on his four-seamer). Colorado’s road splits (3.8 runs/game in 2024) and Coors Field hangover further tilt the scales. Simulations (10,000 iterations via Stats Insider) give the Phillies a 74.3% win probability and a 58.6% chance to win by 3+ runs, aligning with their 7-5 victory margin in Monday’s game. Starting Pitcher Capsules Kyle Freeland (Rockies, LHP) Background: The 31-year-old Denver native, drafted 8th overall by Colorado in 2014, has been a Rockies mainstay since 2017. A 17-7, 2.85 ERA season in 2018 earned him 4th in NL Cy Young voting, but injuries and inconsistency (5.36 ERA in 2023) have dimmed his star. His 2024 rebound (3.80 ERA in 6 starts) showed durability, not dominance. 2025 Start: Freeland’s opener vs. Tampa Bay (6.0 IP, 2 H, 0 ER, 7 K) was a mirage—his 4.87 xFIP and 1.2 HR/9 allowed in 2024 suggest regression. Against Philly’s righty-heavy lineup, his 88-90 mph fastball and slider lack the bite to escape jams. Key Stat: 1-3, 5.68 ERA in 5 career starts vs. Philadelphia, including 4 ER in 6.0 IP last April. Zack Wheeler (Phillies, RHP) Background: The 34-year-old righty, signed to a 5-year, $118M deal in 2020, has been Philly’s ace, finishing 2nd in NL Cy Young voting twice (2021, 2024). His 2024 (16-7, 2.57 ERA, 224 K) cemented his status as a top-5 starter. Wheeler’s four-seamer (95-97 mph) and slider generate elite whiffs (12.4% swinging-strike rate). 2025 Start: Wheeler’s debut vs. Washington (6.0 IP, 2 H, 1 ER, 6 K) showcased his command, with just 1 BB. Facing a Rockies lineup that’s 25th in wOBA (.299) vs. RHP, he’s primed for 6-7 IP and 8-10 K. Key Stat: 2-1, 3.18 ERA in 4 starts vs. Colorado, with 23 K in 20.2 IP; Rockies hit .277 but manage just a .383 SLG against him. Betting Trends Supporting the Phillies and Wheeler Phillies Dominance: Philadelphia is 7-1 in their last 8 vs. Colorado, covering the run line (-1.5) in 5 of those wins. They’re 61.4% (81-51) as moneyline favorites in 2024 and 22-8 when scoring 6+ runs, a threshold they’ve hit in 2 of 4 games this year. Wheeler’s Reliability: Wheeler is 12-3 with a 2.12 ERA in his last 15 home starts, with the Phillies going 13-2 in those games. He’s 3-1 in 2025 projections when facing teams with a sub-.300 wOBA vs. RHP, and his under 1.5 walks prop (-115) has hit in 3 of 4 Rockies starts (per X posts). Rockies Road Woes: Colorado is 1-11 in their last 12 road games vs. NL East teams, with a -2.8 run differential. They’re 4-16 ATS as +200 or greater underdogs since 2024, and Freeland’s 1-5 record in his last 6 road starts vs. winning teams adds fuel. Prediction The Phillies’ offensive firepower, Wheeler’s mastery, and Colorado’s road futility align for a decisive win. Wheeler stifles the Rockies’ anemic attack (4-5 hits, 1-2 runs), while Freeland crumbles under Philly’s barrage (7-9 runs). Simulations and trends back a blowout. Final Score Prediction: Phillies 8, Rockies 3 |
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03-31-25 | Stars v. Seattle Kraken OVER 6.5 | Top | 3-1 | Loss | -102 | 7 h 12 m | Show |
Stars vs Kraken The following NHL betting algorithm has gone 59-26-4 OVER good for 69.4% winning bets since 2019. The requirements are: Bet the OVER in the second half of the season. The road team is outscoring their foes by 0.2 goals per game in the first period. The road team has scored three or more goals in each of their previous five games. |
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03-31-25 | Guardians v. Padres -124 | Top | 2-7 | Win | 100 | 10 h 44 m | Show |
Guardians vs Padres The following MLB betting algorithm has produced a 69-39 record for 64% winning bets that have averaged a –115 wager resulting in a consistent money making 24% ROI and a $30,500 profit for the Dime Bettor and a $1,525 profit for the $50 per game bettor since 2019. The requirements are: Bet against AL road teams priced between a 125 favorite and a 125 underdog. They are facing as foe that is outscoring their opponents by 1 or more RPG. The road team is allowing 3.9 or fewer RPG. Pitching Matchup Luis L. Ortiz (RHP, Guardians) 2024 Stats (PIT): 6-6, 3.32 ERA, 87 K, 1.14 WHIP, 108.1 IP Advanced Metrics: 4.38 SIERA, 7.2 K/9, 3.1 BB/9, 47.8% GB% Pitch Mix: Fastball (94-96 mph, 38%), Slider (30%), Sinker (20%), Changeup (12%) Outlook: Ortiz, acquired by Cleveland in the offseason, transitions from Pittsburgh’s mixed role (10 starts, 17 relief appearances) to a full-time starter. His 2024 spring struggles (10.13 ERA, 15.1 BB% over 13.1 IP) raise concerns about command, but his sinker-slider combo generated ground balls (47.8%) and limited hard contact (87.9 mph avg. exit velocity). Facing San Diego’s righty-heavy lineup, Ortiz’s 1.1 HR/9 rate could be tested by Tatis Jr. and Machado, especially if his control wavers in Petco’s night conditions (60°F, 70% humidity). Kyle Hart (LHP, Padres) 2024 Stats (AAA El Paso): 8-5, 4.12 ERA, 92 K, 1.35 WHIP, 118 IP Advanced Metrics (2020 MLB, last full stint): 5.40 FIP, 6.8 K/9, 5.8 BB/9, 41.2% GB% Pitch Mix: Fastball (89-91 mph, 40%), Curveball (25%), Slider (20%), Changeup (15%) Outlook: Hart, a 32-year-old journeyman, earns his first MLB start since 2020 after a solid spring (3.38 ERA, 14 K in 13.1 IP). His soft-tossing profile relies on deception and a low-70s curveball (32% whiff rate in minors), but his 2020 MLB sample (9.35 ERA, 11 BB in 8.2 IP) exposed vulnerabilities to big-league bats. Cleveland’s contact-oriented lineup (83.4% contact rate) could exploit Hart’s lack of swing-and-miss stuff, though Ramírez’s pull power vs. lefties (.560 SLG) is the biggest threat. |
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03-31-25 | Bulls +14.5 v. Thunder | Top | 117-145 | Loss | -115 | 5 h 17 m | Show |
Bulls vs Thunder Betting on underdogs that have allowed 115 or more points in five consecutive games and now facing a foe that has scored 115 or more points in their two previous games has earned a 56-29-1 ATS record good for 65.9% winning bets over the past five seasons. Further, if our home team is a single-digit dog including pick-em and the total is at least 230 points, their record soars to 32-14 ATS for 70% winning bets. If our dog is priced at 10 or more points and the game occurrs after the all star break has led them to a 12-6 ATS record good for 67% winning bets. |
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03-31-25 | Celtics v. Grizzlies +5 | Top | 117-103 | Loss | -108 | 5 h 36 m | Show |
Celtics vs Grizzlies The following NBA Basketball betting algorithm has produced a 34-69 SU record and a 69-33-1 ATS record good for 68% winning bets since 2016. The requirements are: Bet on underdogs priced between 2.5 and 6.5 points. The dog had a losing record in the previous season. The foe had a winning record in the previous season. The foe is coming off a road win in which they scored 125 or more points. The total is 220 or more points. This algorithm had hardly any plays prior to the 2017 season since it was that season that saw the steady increase in scoring in each year culminating to the current scoring barrage. So, this algorithm has not had a losing record since 2016. Also, include teams with an ATR>=1.8 and playing at home. |
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03-31-25 | Predators +110 v. Flyers | Top | 1-2 | Loss | -100 | 4 h 12 m | Show |
Predators vs Flyers The following NHL betting algorithm has gone 207-175 SU (54%) that has averaged a +110 wager resulting in a solid 15% ROI and a $83,000 profit for the Dime Bettor and a $4,150 profit for the $50 per game bettor since 2010. The requirements are: Bet against home favorites between –100 and –150 using the money line. The favorite is coming off two consecutive OVER results. They are allowing 2.85 or more goals per game. The game occurs in the second half of the regular season. |
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03-31-25 | Rangers -111 v. Reds | Top | 3-14 | Loss | -111 | 7 h 45 m | Show |
Rangers vs Reds The following MLB betting algorithm has produced a 149-82 record for 65% winning bets that have averaged a –133 wager resulting in a consistent money making 17% ROI and a $44,900 profit for the Dime Bettor and a $2,245 profit for the $50 per game bettor. The requirements are: Bet on road favorites. The game is the first game of the series. They are coming off a home win. The opponent is not a divisional rival. Kumar Rocker, born November 22, 1999, in Watkinsville, Georgia, is a towering right-handed pitcher standing at 6-foot-5 and weighing 245 pounds. He takes the mound today, March 31, 2025, as the starting pitcher for the Texas Rangers in what marks his first Opening Day start in the Major Leagues. Rocker’s journey to this moment has been a winding one, defined by resilience, elite talent, and a relentless competitive spirit. Rocker first gained national attention at North Oconee High School in Bogart, Georgia, where he dominated as a junior in 2017 with a 1.63 ERA and 68 strikeouts over 55.2 innings. His performance earned him spots in the Under Armour All-America Game and the Perfect Game All-American Classic, as well as a stint with the USA Baseball 18U National Team. Opting for college over a 38th-round selection by the Colorado Rockies in 2018, Rocker committed to Vanderbilt University, where he quickly established himself as one of the premier arms in college baseball. At Vanderbilt, Rocker’s freshman year in 2019 was nothing short of spectacular. He went 12-3 with a 3.25 ERA, striking out 114 batters in 99.2 innings, and capped his season by throwing the first no-hitter in NCAA Super Regional history against Duke, earning him College World Series Most Outstanding Player honors as the Commodores won the national title. His junior year in 2021 solidified his status as an elite prospect, as he led the nation with 14 wins and 179 strikeouts, earning unanimous First-Team All-American honors. Despite his college success, Rocker’s pro career faced early hurdles. Selected 10th overall by the New York Mets in the 2021 MLB Draft, he didn’t sign due to medical concerns following a physical, leading him to pitch briefly for the Tri-City ValleyCats in the independent Frontier League in 2022, where he posted a 1.35 ERA with 32 strikeouts in 20 innings. The Texas Rangers took a chance on Rocker, selecting him third overall in the 2022 MLB Draft and signing him for a $5.2 million bonus. His pro debut was delayed by Tommy John surgery in May 2023, but Rocker roared back in 2024. After rehabbing, he tore through the minors with a 1.96 ERA and 55 strikeouts in 36.2 innings across three levels, culminating in a September call-up to the big leagues. In his MLB debut on September 12, 2024, against the Seattle Mariners, he tossed 4 innings, allowing 1 run while striking out 7, showcasing his mid-90s fastball (touching 100 mph) and a devastating mid-80s slider that generated 17 swings-and-misses. He finished his brief 2024 stint with a 3.86 ERA over 11.2 innings, striking out 14. Entering 2025, Rocker earned a spot in the Rangers’ Opening Day rotation alongside fellow Vanderbilt alum Jack Leiter, bolstered by a strong spring training where he capped his final outing with 8 strikeouts over 4.2 innings. Now 25, Rocker brings a high-octane arm and a mature mound presence to a Rangers rotation that includes veterans like Nathan Eovaldi and Jacob deGrom. With his power pitching and ability to adapt, Rocker is poised to be a cornerstone for Texas as they aim to reclaim their 2023 World Series glory. Today, he faces his first test of the season, ready to prove he’s not just a prospect—but a frontline starter in the making. |
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03-31-25 | Utah -2.5 v. Butler | Top | 84-86 | Loss | -108 | 3 h 38 m | Show |
Utah vs Butler College Basketball Crown Tournament. The following NCAA betting algorithm has gone 40-31 SU (58%) and 46-24 ATS (66%) since 2019. The requirements needed for this a betting opportunity to be validated is as follows: Bet on teams with 7 or more days of rest. That team is coming off a horrid loss by 15 or more points. They were priced as the favorite. If these teams have had 10 or more days of rest, they have gone 12-7 SU (63%) and 15-3 ATS for 83% winning bets since 2019. |
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03-31-25 | Red Sox v. Orioles -138 | Top | 5-8 | Win | 100 | 3 h 39 m | Show |
Red Sox vs Orioles This game was moved from 3:05 EST to 2:35 EST given the immediate severe weather expected to hit the Baltimore area after 6 ET. The following MLB betting algorithm has produced a 69-39 record for 64% winning bets that have averaged a –115 wager resulting in a consistent money making 24% ROI and a $30,500 profit for the Dime Bettor and a $1,525 profit for the $50 per game bettor since 2019. The requirements are: Bet against AL road teams priced between a 125 favorite and a 125 underdog. They are facing as foe that is outscoring their opponents by 1 or more RPG. The road team is allowing 3.9 or fewer RPG. Pitching Matchup Sean Newcomb (LHP, Red Sox) 2024 Stats (OAK): 2-1, 4.50 ERA, 35 K, 1.42 WHIP, 32 IP (mostly relief) Advanced Metrics: 4.62 FIP, 9.8 K/9, 4.8 BB/9, 44.6% GB% Pitch Mix: Fastball (92-94 mph, 45%), Curveball (30%), Slider (15%), Changeup (10%) Outlook: Newcomb, acquired by Boston in the offseason, transitions from a relief role with Oakland to his first MLB start since 2022. His 2024 spring (3.86 ERA, 12 K in 11.2 IP) earned him this nod, but his career 5.2 BB/9 as a starter signals command issues. The curveball (36% whiff rate) is his putaway pitch, though Baltimore’s lefty-leaning lineup (Henderson, Rutschman) could exploit his 1.3 HR/9 tendency if he leaves pitches up. Cade Povich (LHP, Orioles) 2024 Stats: 2-9, 5.36 ERA, 85 K, 1.53 WHIP, 99 IP Advanced Metrics: 4.82 FIP, 7.7 K/9, 3.8 BB/9, 42.3% GB% Pitch Mix: Fastball (91-93 mph, 40%), Curveball (28%), Slider (20%), Changeup (12%) Outlook: Povich steps into his first Opening Day start after a rocky 2024, buoyed by a strong spring (3.60 ERA, 18 K in 15 IP). His curveball (38% whiff rate) generates swing-and-miss, but a 1.5 HR/9 rate and shaky control leave him vulnerable to Boston’s right-handed power (Devers, Casas). Camden’s hitter-friendly dimensions post-2024 wall adjustments could amplify any mistakes. Final Thoughts The Orioles open as -120 favorites, driven by home-opener buzz and a slight edge in offensive metrics. Newcomb’s strikeout potential could keep Baltimore quiet early, but Povich’s curveball might stifle Boston’s lefties. Weather is the wildcard: a full game favors a slugfest, but a rain-shortened contest (5–6 innings) tilts toward the team that grabs an early lead. Baltimore’s bullpen depth gives them a significant edge if play extends. Prediction (Weather-Permitting): Orioles 5, Red Sox 4 |
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03-30-25 | Michigan State v. Auburn -4.5 | Top | 64-70 | Win | 100 | 6 h 1 m | Show |
Michigan State vs Auburn From my predictive model the Tigers are projected to score 78 or more points and outrebound MSU by at least 5 boards and have more offensive rebounds. In past games in which Auburn met or exceeded these performance measures has seen them go 71-3 SU and 51-20 ATS good for 72% winning bets under head coach Bruce Pearl. Michigan State is 1-12 SUATS when allowing the aforementioned performance measures under head coach Tom Izzo. The Elite 8 of the 2025 NCAA Tournament brings a blockbuster South Region final to State Farm Arena in Atlanta, pitting the No. 2 seed Michigan State Spartans (30-6) against the No. 1 seed Auburn Tigers (31-5). Tipoff is set for 5:05 p.m. ET on CBS, with a trip to the Final Four in San Antonio on the line. While Michigan State boasts a storied tournament pedigree under legendary coach Tom Izzo, Auburn’s superior advanced analytics, roster depth, and coaching edge under Bruce Pearl position the Tigers to secure a double-digit victory and advance to their second Final Four in program history. Advanced Analytics: Auburn’s Dominance by the Numbers Auburn enters this matchup as a statistical juggernaut, ranked No. 3 nationally in offensive efficiency and No. 8 in defensive efficiency per KenPom. The Tigers’ balanced attack is powered by a high-octane offense averaging 83.6 points per game (12th nationally) and a stingy defense that holds opponents to 29.6% from beyond the arc (11th nationally). Their net rating—a whopping +25.2—reflects a team that overwhelms opponents on both ends of the floor. Auburn’s ability to dictate tempo (adjusted tempo rank of 67.8, 48th nationally) allows them to exploit Michigan State’s slower pace (adjusted tempo of 65.2, 223rd nationally), forcing the Spartans into an uncomfortable, up-and-down game. Michigan State, while elite defensively (No. 1 in 3-point defense at 28%), struggles offensively, ranking 328th in 3-point shooting percentage (31.1%) and 332nd in 3-pointers made per game (6.0). Auburn’s perimeter defense, which limits opponents to 37% from deep in SEC play, will neutralize the Spartans’ already anemic outside game. Meanwhile, Auburn’s guards—led by freshmanTahaad Pettiford (11.8 PPG, 59 points in three tournament games)—can exploit Michigan State’s perimeter vulnerabilities, as the Spartans rank outside the top 100 in defending 2-point jumpers. Auburn’s +515 scoring differential (14.3 points per game) dwarfs Michigan State’s +312 (8.7 points per game), underscoring the Tigers’ ability to dominate overmatched foes. Rebounding further tilts the scales in Auburn’s favor. The Tigers rank 50th nationally in rebounds per game (34.5) and outrebound opponents by 5.3 boards, while Michigan State’s vaunted offensive rebounding (No. 21 in offensive rebounding percentage) will face a stern test against Auburn’s Johni Broome, a 6-10 All-American averaging 18.5 points and 10.8 rebounds. Broome’s 16-rebound performance against Michigan in the Sweet 16—including nine offensive boards—highlights his ability to control the glass against bigger lineups, a problem Michigan State’s frontcourt (Jaxon Kohler, 7.4 RPG) won’t easily solve. Coaching Edge: Bruce Pearl’s Tactical Mastery Bruce Pearl’s 11-year tenure at Auburn has transformed the Tigers into an SEC powerhouse, and his 705-267 career record reflects a coach who thrives in high-stakes environments. Pearl’s tactical acumen shone in Auburn’s 78-65 Sweet 16 win over Michigan, where a 20-2 second-half run flipped a nine-point deficit into a commanding lead. His ability to adjust on the fly—shifting to a smaller, guard-heavy lineup to spark that run—exploits Michigan State’s lack of offensive versatility. Pearl’s teams excel at minimizing turnovers (9.4 per game, 12th nationally), a critical edge against a Spartans squad that forces just 11.2 turnovers per game (162nd nationally). Tom Izzo, with a 736-301 record and eight Final Four appearances, is a March Madness icon, and his 8-2 Elite 8 record speaks to his clutch preparation. Michigan State’s second-half surges—evidenced by their 73-70 comeback over Ole Miss—showcase Izzo’s ability to rally his troops. However, Auburn presents a matchup nightmare Izzo hasn’t faced this postseason. The Tigers’ combination of size (Broome), guard play (Pettiford, Denver Jones), and depth (eight players averaging 15+ minutes) overwhelms Michigan State’s reliance on a tight rotation and inconsistent scoring beyond Jaden Akins (12.8 PPG) and Jase Richardson (12.2 PPG). Pearl’s 7-0 record against Big Ten teams since 2020, including blowout wins over Ohio State (+38) and Purdue (+18) this season, signals his mastery over Izzo’s conference peers. Key Matchup: Broome vs. Michigan State’s Bigs The game’s defining battle unfolds in the paint, where Broome’s blend of skill and physicality will test Michigan State’s frontcourt trio of Kohler, Carson Cooper, and Szymon Zapala. Broome’s ability to score inside (58% on 2-pointers) and draw fouls (5.2 FTA per game) could push Michigan State’s bigs into early foul trouble, a vulnerability exposed in their 33-29 rebounding deficit against Ole Miss. Auburn’s 39.4% shooting against Michigan belies their efficiency (1.13 points per possession in tournament play), and Broome’s presence ensures second-chance points (12.5 per game allowed by MSU) that the Spartans can’t afford to concede. Prediction: Auburn Pulls Away for a Double-Digit Win Michigan State’s grit and defensive tenacity will keep this game competitive early, but Auburn’s superior analytics and coaching edge will prove decisive. The Tigers’ ability to stretch the floor with Pettiford and Jones (four 3s vs. Michigan) exploits Michigan State’s 3-point woes, while Broome’s dominance inside neutralizes the Spartans’ rebounding edge. Expect Auburn to lead by single digits at halftime before a second-half surge—fueled by Pearl’s adjustments and Michigan State’s offensive limitations—pushes the margin past 10. Auburn’s depth and efficiency will wear down Izzo’s squad, securing a statement win and a Final Four berth. Final Score Prediction: Auburn 78, Michigan State 66 |
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03-30-25 | Brewers +120 v. Yankees | Top | 3-12 | Loss | -100 | 3 h 31 m | Show |
Brewers vs Yankees The following betting algorithm has produced an 17-22 record for 44% winning bets and making the Dime Bettor a $17,640 profit since 2004. The requirements are: Bet against a team in an inter-league matchup. That ream hit 1.37 or more HRPG in the previous season. That team is hitting 1.37 or more HR in the current season. That team is priced as a favorite between 140 and 190. That team won between 50 and 60% of their games in the previous season. |
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03-29-25 | Alabama +7.5 v. Duke | Top | 65-85 | Loss | -118 | 10 h 3 m | Show |
Alabama vs Duke Live Betting Strategy: Consider betting 70% preflop and then look to add 20% more on Alabama at a price of 9.5 points and then 10% more at 11.5 points during the first half of action. Another option is to bet 80%preflop and then add the remaining 20% after a Duke scoring run of 10 or more points. Keep in mind, that Alabama may have a lead prior to this scoring run, so the price you get may not be as good as the preflop price. Based on decades of in-game NBA and College basketball game flows, betting on teams that just allowed 10 or more unanswered points is a solid bettig strategy. Given the very high total for this Elite game, scoring volatility is going to much higher than average that can provide numerous double-digit scoring runs by both teams. In the Elite 8 Round, teams, like Alabama, that are coming off a game in which their three-point scoring accounted for 45% or more of their total points have gone on to 4-3 SU and 5-1 ATS record for 71% winning bets. The Elite 8 Betting Algorithm The following betting algorithm has produced a 59-24 ATS result good fort 71% winning bets during the regular and post seasons since 1998. The requirements are: Bet on neutral court teams that have an excellent scoring defense allowing between 40 and 42.5 shooting. They are facing an opponent that has shot 50% or better in each of their previous three games. The opponent has a very strong defense allowing 40% or lower shooting percentage. Alabama vs. Duke Elite Eight Game Preview: How the Crimson Tide Can Upset the Blue Devils The 2025 NCAA Tournament Elite Eight features a blockbuster East Region matchup between the No. 1 seed Duke Blue Devils (31-4) and the No. 2 seed Alabama Crimson Tide (27-7) on Saturday, March 29, at 8:49 p.m. ET at the Prudential Center in Newark, NJ (TBS). Duke enters as a 6.5-point favorite with a total of 174.5 points, but Alabama has the firepower and matchups to pull off the upset and advance to the Final Four. This game pits Duke’s balanced attack, led by freshman phenom Cooper Flagg, against Alabama’s high-octane offense, spearheaded by Mark Sears. Below, we’ll dive into the key matchups, advanced analytics, and strategic elements that could propel Alabama to a victory as a 6.5-point underdog. Key Matchups That Favor Alabama Mark Sears vs. Jeremy Roach: Perimeter Dominance Sears’ Edge: Alabama’s senior guard Mark Sears (19 PPG, 5.1 APG, 34.8% 3P) has been a scoring machine, especially from deep (4.2 3PM per game in the tournament). His quickness (3.8 drives per game, per Synergy) and ability to create off the dribble (1.12 PPP in isolation) make him a matchup nightmare. Against Texas Tech, Sears dropped 27 points, including 5-of-9 from three. Why It Matters: Alabama leads the nation in 3PA per game (29.8) and ranks 8th in 3P% (37.2%). If Sears gets hot from deep, he can stretch Duke’s defense, which ranks 15th in opponent 3P% (31.4%). Sears’ ability to draw fouls (5.2 FTA per game) could also put Duke defenders in foul trouble, forcing Duke to rely on less experienced guards like Tyrese Proctor. Grant Nelson vs. Cooper Flagg: Neutralizing the Phenom Nelson’s Versatility: Alabama’s Grant Nelson (12.8 PPG, 6.2 RPG, 1.8 BPG) brings size (6’11”) and skill to the frontcourt. His ability to step out and shoot (34.8% 3P) and defend multiple positions (1.5 SPG) makes him a tough cover. Nelson’s 1.02 PPP in post-up situations (per Synergy) could exploit Flagg’s relative inexperience. Flagg’s Dominance: Duke’s Cooper Flagg (18.2 PPG, 9.0 RPG, 2.8 APG, 54.2% FG) is a two-way force, with elite rim protection (1.5 BPG) and perimeter defense (1.8 SPG). However, his 38.1% 3P shooting comes on low volume (2.8 3PA per game), and he can be baited into fouls (3.2 PF per game in the tournament). Why It Matters: Nelson’s ability to pull Flagg away from the rim opens driving lanes for Sears and Alabama’s guards. Flagg’s 0.88 PPP allowed in post defense (per Synergy) suggests Nelson can score inside, while Alabama’s 48.2% defensive rebound rate (top 50) can limit Flagg’s second-chance opportunities (3.2 offensive rebounds per game). Alabama’s Bench vs. Duke’s Depth: Fresh Legs Win Out Alabama’s Depth: The Crimson Tide play 10 players 10+ minutes per game, with key contributors like Jarin Stevenson (8.4 PPG, 40.2% 3P) and Mo Dioubate (6.8 PPG, 5.2 RPG) providing energy. Alabama’s bench averages 28.6 PPG, 3rd in the SEC, and their 71.2 tempo (42nd) wears down opponents. Duke’s Rotation: Duke relies heavily on their starters, with Flagg, Roach, and Kon Knueppel (13.8 PPG, 39.4% 3P) playing 34+ minutes per game. Their bench averages just 18.2 PPG, and their 69.8 tempo (88th) is slower, potentially leaving them vulnerable to Alabama’s pace. Why It Matters: Alabama’s fresh legs could exploit Duke late in the game. The Tide’s 15.2 fast-break PPG (19th) and 1.14 PPP in transition (per Synergy) can capitalize on Duke’s 0.98 PPP allowed in transition (average). If Alabama pushes the pace, Duke’s starters may tire, leading to defensive breakdowns. Alabama’s 3-Point Shooting vs. Duke’s Perimeter Defense: The X-Factor Alabama’s Strength: The Crimson Tide’s 3-point barrage (37.2% 3P, 8th) is led by Sears, Stevenson, and Aden Holloway (38.8% 3P). They’ve hit 12.3 3PM per game in the tournament, including 14 against BYU. Duke’s Defense: Duke ranks 15th in opponent 3P% (31.4%), but they’ve allowed 9.3 3PM per game in the tournament, including 10 to Arizona. Their 3-point defense relies on Flagg’s help-side rim protection, but Alabama’s spacing (29.8 3PA per game) can pull him out of position. Why It Matters: If Alabama gets hot from deep, they can overcome Duke’s size advantage. The Tide’s 1.12 PPP on catch-and-shoot 3s (per Synergy) could exploit Duke’s 0.92 PPP allowed on such plays. A 12+ 3PM night from Alabama could swing the game in their favor. Advanced Analytics Supporting Alabama’s Upset Offensive Efficiency: Alabama’s 122.8 AdjO (5th) outpaces Duke’s 92.3 AdjD (12th) in key areas. The Tide’s 56.2% 2P% (10th) and 37.2% 3P% give them multiple ways to score, while Duke’s defense has struggled against top-10 offenses (allowing 82.4 PPG in such matchups). Turnover Battle: Alabama’s 15.8% turnover rate (top 50) matches up well against Duke’s 11.2 steals per game (5th). The Tide’s ball security (Sears’ 2.1 A/TO ratio) limits Duke’s transition game (14.8 fast-break PPG, 25th). Pace Advantage: Alabama’s 71.2 tempo (42nd) could disrupt Duke’s 69.8 tempo (88th). The Tide’s 1.14 PPP in transition (top 20) can exploit Duke’s slower rotations, especially late in the game. Shooting Trends: Alabama’s 12.3 3PM per game in the tournament far exceeds Duke’s 7.3 3PM allowed (average). If the Tide hit 12+ threes, they’ve won 14 of 16 games this season (per ESPN Stats & Info). Why Alabama Wins Outright Sears’ Explosion: Sears goes off for 25+ points, hitting 5+ threes and exploiting Duke’s guards’ defensive limitations. His ability to draw fouls (5.2 FTA per game) puts Duke’s guards in foul trouble, opening the floor for Alabama’s offense. Nelson Neutralizes Flagg: Nelson scores 15+ points, including a couple of 3s, pulling Flagg away from the rim. This allows Alabama’s guards to attack the basket, where they convert 56.2% of 2-point attempts. 3-Point Barrage: Alabama hits 12+ threes, a threshold where they’renearly unbeatable. Duke’s perimeter defense can’t keep up with Alabama’s volume (29.8 3PA per game), and the Tide’s spacing creates open looks. Alabama is 8-2 SUATS this season when making 12 or more three-pointers and my predictive mode projects an 86% probability they will exceed this performance metric. Late-Game Execution: Alabama’s depth and pace wear down Duke’s starters. The Tide’s bench (28.6 PPG) outscores Duke’s (18.2 PPG), and their 15.2 fast-break PPG lead to key transition buckets in the final minutes. Prediction and Best Bet Score Prediction: Alabama 84, Duke 80 Best Bet: Alabama +6.5 (-110) |
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03-29-25 | Islanders +201 v. Lightning | Top | 3-5 | Loss | -100 | 3 h 57 m | Show |
Islanders vs Lightning The following NHL betting algorithm has produced a 90-98 record for 48% winning bets, but by averaging a +139 wager has earned a highly profitable 15% ROI over the past 10 seasons. The requirements are: ØBet on road dogs priced between 100 and 180. ØThat dog has allowed 4 or more goal sin each of their last two games. ØThat dog is facing a host that allowed no more than one goal in their previous game. If the game occurs in the second half of the season, these road dogs have gone 38-30 for 56% averaging a 145-dog wager and earning a 32% ROI since 2014. If our dog is playing on 1 or more days of rest, they have gone 33-25 for 57% averaging a 147 wager and earning a 34% ROI. |
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03-28-25 | Tigers +196 v. Dodgers | Top | 5-8 | Loss | -100 | 7 h 57 m | Show |
Detroit Tigers vs LA Dodgers The following MLB betting algorithm has produced a 55-30 record for 65% winning bets that has averaged a +130-underdog wager resulting in a highly profitable 40% ROI and a $44,940 profit for the Dime Bettor over the past five seasons of action. Bet on any team that is facing an elite team from the previous season that won 54 to 62% of their games. The current game is one of the first 15 of the regular seasons. The foe has won two or more consecutive games. Tonight, Friday, March 28, 2025, at 7:10 p.m. ET, the Detroit Tigers (0-1) face off against the Los Angeles Dodgers (3-0) at Dodger Stadium in the second game of a three-game series to open the 2025 MLB season (TV: ESPN, Radio: SiriusXM). After dropping a tight 5-4 contest to the Dodgers on Opening Day, the Tigers, led by former Dodger Jack Flaherty, take on Yoshinobu Yamamoto and the defending World Series champions. The betting odds list the Dodgers as -190 favorites with a total of 7.5 runs, giving Detroit a +160 moneyline as underdogs. Despite the Dodgers’ early dominance, advanced analytics and key matchups reveal why the Tigers have a legitimate shot at pulling off an upset in Chavez Ravine. Here’s a deep dive into the numbers and dynamics driving this game. Team Context and Recent Performance Detroit Tigers: After a surprising 2024 postseason run that ended in the ALDS against Cleveland, the Tigers entered 2025 with heightened expectations. Their Opening Day loss showcased resilience—ralllying from a 5-0 deficit with four runs in the ninth before falling short. Reigning AL Cy Young winner Tarik Skubal (18-4, 2.39 ERA in 2024) kept them in the game, but the bullpen faltered late. Los Angeles Dodgers: The Dodgers are off to a 3-0 start, having swept the Cubs in Tokyo last week and edged Detroit on Thursday. Their star-studded lineup—featuring Shohei Ohtani, Mookie Betts, and Freddie Freeman (all expected to play despite earlier injury concerns)—has clicked early, backed by a bullpen that’s allowed just four earned runs across 15 innings this season. Key Matchups and Analytics Supporting a Tigers Upset Jack Flaherty vs. Dodgers’ Lineup: Familiarity Breeds Opportunity Flaherty’s Profile: Flaherty, who signed a two-year, $35M deal with Detroit after splitting 2024 between the Tigers and Dodgers, brings insider knowledge. In 2024, he posted a 3.17 ERA over 162 innings, with a 29.8% strikeout rate (K%) and a career-best 5.6% walk rate (BB%). His postseason heroics with L.A. (2.92 ERA, 35 K in 24.2 IP) earned him a World Series ring, and he’s 1-0 with a 2.25 ERA in two spring starts this year. Dodgers’ Bats vs. Flaherty: Current Dodgers hitters have a .231/.286/.385 slash line against him over 91 plate appearances, with Betts (.250, 1 HR) and Ohtani (.200, 0 HR) showing modest success. Flaherty’s four-seam fastball (94.8 mph average velocity, 33.2% whiff rate) and slider (29.8% whiff rate) could exploit L.A.’s aggressive approach—Dodgers hitters chased 28.9% of pitches outside the zone in 2024, 12th-highest in MLB. Analytic Insight: Flaherty’s 3.48 xFIP and 0.96 HR/9 in 2024 suggest he can limit damage against a Dodgers team that slugged .446 last season (1st in MLB). His ability to induce weak contact (87.2 mph average exit velocity allowed) matches up well against an L.A. lineup that thrives on hard contact (90.1 mph average EV, 5th in MLB). Yoshinobu Yamamoto vs. Tigers’ Offense: Vulnerability in Limited Exposure Yamamoto’s Profile: The $325M rookie sensation went 7-2 with a 3.00 ERA in 2024, but his 5.0 IP, 1 ER outing in Tokyo last week was his first action since a rotator cuff strain sidelined him in June 2024. His spring was shaky (4.91 ERA over 11 IP), and he’s still building stamina—averaging 85 pitches per start in 2024. Tigers’ Bats: Detroit’s lineup, featuring Riley Greene (.262/.348/.479, 24 HR in 2024), Gleyber Torres (.257, 15 HR), and Spencer Torkelson (.340, 5 HR in spring), has upside. Greene’s .364 wOBA against right-handers and Torres’ .337 wOBA vs. RHP could test Yamamoto’s splitter-heavy arsenal (41.8% usage, 34.6% whiff rate). Torkelson, who walked four times on Opening Day, adds patience (10.8% BB% in spring). Analytic Insight: Yamamoto’s 3.86 xFIP and 1.21 HR/9 in 2024 hint at regression potential, especially against a Tigers team that ranked 9th in MLB with a 22.8% K% vs. RHP. Detroit’s 4.9% BB% increase in late 2024 suggests they could work counts, pushing Yamamoto’s pitch count early and exposing L.A.’s middle relief (4.02 ERA in 2024). Bullpen Edge: Tigers’ Depth vs. Dodgers’ Early Workload Tigers’ Relief Corps: Detroit’s bullpen ranked 2nd in the AL with a 3.49 ERA in 2024, bolstered by Tyler Holton (2.19 ERA, 8 IP vs. LAD with 1 ER) and Beau Brieske (multi-inning flexibility). Newcomer Tommy Kahnle (2.84 ERA with NYY in 2024) adds swing-and-miss stuff (30.2% K%). Despite Thursday’s ninth-inning collapse (4 ER), their 11.4 K/9 (4th in MLB) remains elite. Dodgers’ Pen: L.A.’s relievers have been stellar (2.40 ERA in 2025), with Tanner Scott (1 SV in Tokyo) and Alex Vesia (1 SV) leading the charge. However, 15 innings across three games in eight days could strain depth, especially if Yamamoto exits early. Their 2024 ERA of 3.71 (10th in MLB) suggests vulnerability over time. Analytic Insight: The Tigers’ bullpen xFIP (3.62) outpaces the Dodgers’ (3.88), and Detroit’s 16.2% swinging-strike rate (SwStr%) tops L.A.’s 14.8%. If Flaherty goes 6+ innings, Detroit’s fresher arms could outlast a Dodgers pen facing its fourth high leverage outing in a week. Pace and Situational Trends Tempo Clash: Detroit ranked 14th in adjusted tempo (68.2 possessions per game), while L.A. was 8th (69.1). The Tigers’ ability to grind at-bats (3.92 pitches per PA, 10th in MLB) could disrupt Yamamoto’s rhythm, while their 49.5%-win rate as road underdogs in 2024 (44-20 ATS) signals resilience. Late-Game Heroics: Detroit’s 4-run ninth on Thursday mirrors their 2024 trend—scoring 38.6% of runs after the 6th inning (6th in MLB). The Dodgers, meanwhile, allowed 34.2% of runs late (14th), exposing a potential soft spot if the game stays close. Advanced Metrics and Projections Team wOBA: Dodgers .337 (2nd in MLB 2024) vs. Tigers .314 (18th). Detroit’s spring wOBA of .335 suggests an offensive uptick. Expected Runs: Statcast projects 7.8 combined runs, but Detroit’s 44.2% hard-hit rate vs. RHP (8th in MLB) and Flaherty’s 33.6% ground-ball rate vs. L.A.’s lineup tilt this toward a lower-scoring, competitive affair. Why the Tigers Can Upset the Dodgers Flaherty’s Edge: His familiarity with Dodgers hitters, pinpoint control (2.1 BB/9 career vs. LAD), and ability to suppress power give Detroit a fighting chance against L.A.’s stars. Yamamoto’s Rust: Limited innings since June and a shaky spring could cap his outing at 5-6 IP, exposing L.A.’s bullpen to a Tigers lineup that feasts on relievers (.325 wOBA vs. RP in 2024). Resilient Offense: Greene, Torres, and Torkelson can capitalize on Yamamoto’s splitter if he leaves it up, while Detroit’s late-inning tenacity keeps them in striking distance. Bullpen Stability: If Flaherty hands off a close game, Holton and Kahnle can neutralize L.A.’s middle order, where Betts (.289) and Freeman (.282) dip against lefties. Betting Trends and Best Bet Trends: Tigers were 44-20 ATS as road underdogs in 2024; Dodgers are 2-5 ATS in their last 7 vs. AL Central teams. Five of Detroit’s last six losses stayed within 2 runs. Best Bet: Tigers +1.5 (-125). The analytics suggest a one-run game is plausible, and Detroit’s upside outweighs the juice. Prediction Score: Tigers 4, Dodgers 3 Narrative: Flaherty outduels Yamamoto with 6 strong innings, Greene and Torres deliver clutch hits, and Detroit’s bullpen slams the door on a late Dodgers rally. The Tigers steal one in L.A., proving their 2024 run was no fluke. Tonight’s game isn’tjust about David vs. Goliath—it’s about a hungry Tigers team leveraging analytics, matchups, and grit to topple a juggernaut. Detroit’s got the tools; now they just need to execute. |
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03-28-25 | Michigan v. Auburn UNDER 155 | Top | 65-78 | Win | 100 | 10 h 37 m | Show |
Michigan vs Auburn The following betting algorithm has produced a 14-6 UNDER record for 70% winning bets in the NCAA Tournament. The requirements are: Bet the UNDER in the Sweet 16 Round. One of the team’s is on a two-game win streak exact. The opponent is on a three or more-game win streak. From the Sweet 16 Round on to the Championship game, this situation has gone 14-7 UNDER for 67% winners. The Sweet 16 of the 2025 NCAA Tournament brings us a compelling matchup between the No. 5 seed Michigan Wolverines (27-9) and the No. 1 seed Auburn Tigers (30-5) on Friday, March 28, at 9:39 p.m. ET at State Farm Arena in Atlanta (CBS). This South Region clash pits Michigan’s gritty, size-driven style against Auburn’s deep, high-octane attack. With the betting total set at 153.5 points, advanced analytics suggest a strong case for the UNDER, driven by key matchups and statistical trends that could stifle the scoreboard. Let’s break it down. Team Overview and Context Michigan Wolverines: Under first-year coach Dusty May, Michigan has surged into the Sweet 16 with a Big Ten Tournament title and wins over UC San Diego (67-64) and Texas A&M (91-79). Their frontcourt duo of 7-footers Vladislav Goldin and Danny Wolf has been pivotal, controlling the paint and dictating tempo. Auburn Tigers: Bruce Pearl’s squad, the No. 1 overall seed, boasts a 30-5 record with a top-tier offense and a suffocating defense. They’ve dispatched Alabama State (89-55) and Creighton (82-70) in the tournament, led by National Player of the Year candidate Johni Broome. Key Matchups and Analytics Supporting the UNDER Michigan’s Frontcourt vs. Auburn’s Interior Defense Michigan’s Advantage: Goldin (16.8 PPG, 7.0 RPG, 61% FG) and Wolf (12.3 PPG, 10.0 RPG, 3.0 APG) give Michigan the 15th-best 2-point FG% (56.2%) and the 13th-lowest opponent 2-point FG% (46.0%) per KenPom. Their size and rim protection (5.8 blocks per game combined) slow games down, forcing opponents into contested shots. Against Texas A&M, Goldin’s 23 points and 12 rebounds showcased their dominance inside. Auburn’s Response: Auburn ranks 3rd in adjusted defensive efficiency (90.1) and 44th in opponent 2-point FG% (47.2%). Broome (18.4 PPG, 10.6 RPG, 2.2 BPG) anchors the paint, but he’s not a perimeter threat (0.3 3PA/G), meaning Michigan can pack the lane. Auburn’s block rate (16.2%, 4th nationally) will challenge Michigan’s interior scoring, potentially leading to a grind-it-out battle. Analytic Insight: Michigan’s games average 149.6 points this season, but against top-50 defenses (per KenPom), that drops to 141.2. Auburn’s last 10 games against top-50 offenses averaged 148.7 points, with three of their four losses staying under 153.5. Auburn’s Perimeter Shooting vs. Michigan’s 3-Point Defense Auburn’s Strength: The Tigers shoot 36.8% from three (49th nationally), with Miles Kelly (39.4%) and Denver Jones (41.7%) stretching defenses. They’ve hit 10+ threes in 14 games this season, including 11 against Alabama State. Michigan’s Counter: The Wolverines rank 27th in opponent 3-point FG% (31.2%), thanks to disciplined rotations and length. Tre Donaldson (11.5 PPG, 4.2 APG) and Roddy Gayle Jr. (career-high 26 vs. Texas A&M) can harass Auburn’s guards, while Wolf’s versatility disrupts pick-and-pop actions. Analytic Insight: Auburn’s 3-point volume dips against top-25 3-point defenses (7.8 makes vs. 9.2 season average). Michigan’s last five games saw opponents shoot just 29.8% from deep, and their tournament games averaged 6.5 opponent 3PM—well below Auburn’s 8.9 season mark. A cold shooting night could cap Auburn’s output. Pace and Tempo Clash Michigan’s Style: The Wolverines rank 165th in adjusted tempo (67.8 possessions per game), preferring a deliberate half-court game. They’ve gone UNDER 153.5 in 17 of 36 games, including their low-scoring opener vs. UC San Diego (131 total points). Auburn’s Style: Auburn ranks 42nd in tempo (70.9), thriving in transition (15.2 fast-break PPG, 19th nationally). However, their half-court efficiency drops against elite defenses (1.02 PPP vs. 1.12 season average, per Synergy). Analytic Insight: When Auburn faces top-50 tempo teams, their games average 151.3 points. Michigan’s ability to limit possessions (opponents average 66.4 vs. them) could drag Auburn into a slog. The Tigers’ last three games against slow-paced teams (under 68 tempo) averaged 147.8 points. Turnovers and Efficiency Trends Michigan’s Ball Security: The Wolverines rank 88th in turnover percentage (16.2%), but Donaldson’s playmaking (4.2 APG, 1.8 TO/G) keeps them steady. Against Auburn’s pressure (11.4 steals per game, 8th nationally), maintaining possession will be key. Auburn’s Discipline: The Tigers rank 23rd in turnover percentage (15.1%), but their steals dry up against low-turnover teams (8.7 vs. top-100 TO% foes). Michigan’s size could neutralize Auburn’s press. Analytic Insight: Games with both teams under 17% TO% average 149.6 points in Auburn’s schedule and 148.2 in Michigan’s. Fewer live-ball turnovers limit transition buckets, favoring the UNDER. Betting Trends and Model Projections Trends: Michigan is 6-4 ATS in their last 10, with 7 of 10 under 153.5. Auburn’s 3-7 ATS skid in their last 10 includes three straight UNDERs against top-50 teams. Tournament games with top-5 defenses vs. top-25 offenses have gone UNDER 153.5 in 8 of 11 instances since 2023. KenPom Projection: Auburn 80, Michigan 72 (152 total points). The model gives Auburn a 76% win probability but sees Michigan’s defense keeping it close. SportsLine Model: Simulates 152 combined points, hitting the UNDER in 53% of 10,000 simulations, with Michigan’s spread (+8.5) cashing over 50% of the time. Why the UNDER 153.5 Makes Sense The analytics paint a picture of a physical, low-possession game. Michigan’s twin towers will clog the paint, forcing Auburn to rely on outside shooting against a stingy perimeter defense. Auburn’s elite defense, meanwhile, should limit Michigan’s 2-point barrage, but the Wolverines’ slow tempo could cap the Tigers’ transition opportunities. Both teams’ recent tournament games (Michigan: 131 and 170 points; Auburn: 144 and 152) suggest 153.5 is inflated, especially given Auburn’s late-season defensive tightening (69.4 PPG allowed) and Michigan’s ability to muck it up. Prediction and Best Bet Score Prediction: Auburn 77, Michigan 73 (150 total points) Best Bet: UNDER 153.5 (-110) |
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03-28-25 | Suns +7.5 v. Wolves | Top | 109-124 | Loss | -110 | 5 h 59 m | Show |
Suns vs Wolves The following NBA betting algorithm has produced a 15-31 SU record (33%) and a 32-13-1 ATS mark good for 71% winning bets since 2017. Bet on road underdogs priced between 7 and 14 points. They are coming off a home loss by 20 or more points. They lost the previous meeting to the current opponent by double-digits. |
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03-28-25 | Cavs -5.5 v. Pistons | Top | 122-133 | Loss | -115 | 4 h 59 m | Show |
Cavs vs Pistons The following NBA betting algorithm has produced a 32-10 SU and 27-15 ATS record for 64.3% winning bets. The requirements are: Bet road favorites of between 3.5 and 9.5 points. The game occurs after the all-star break. The game is aconference matchup. Our favorite is coming off an ATS loss. Our favorite scored 110 or more points in their previous game. The total is priced between 225 and 235 points. The following NBA betting algorithm has produced a 34-7 SU and 31-9-1 ATS goods for 78% winning bets since 1995. The requirements are: Bet on winning record road favorites. The opponent is coming off a game in which they led by 20 or more points at the half. The opponent has won 50 to 67% of their games. Our team is playing on back-to-back nights. |
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03-28-25 | Ole Miss +3.5 v. Michigan State | Top | 70-73 | Win | 100 | 29 h 59 m | Show |
Mississippi vs Michigan State Unpopular underdogs playing in the Sweet 16 or the Elite 8 that have gotten less than 50% of the tickets and are on a 3 or more-game ATS win streak have been big money makers sporting a 36-16-2 ATS record good for 69% winning bets. If these teams, like Ole Miss are riding a three-game ATS win streak exact has seen them go 10-4-1 ATS for 71.4% winning bets. Context and Stakes No. 6 Ole Miss (24-11) faces No. 2 Michigan State (29-6) in the South Region semifinals, with the winner advancing to the Elite Eight. Ole Miss has surged into the Sweet 16—its first since 2001—after dismantling No. 11 North Carolina (71-64) and No. 3 Iowa State (91-78), averaging a 10-point margin of victory. Michigan State, a Tom Izzo-led perennial power, has advanced with less convincing wins over No. 15 Bryant (87-62) and No. 10 New Mexico (71-63), trailing at halftime in both before late surges. Despite Michigan State’s 3.5-point favorite status (SportsLine consensus), advanced analytics reveal vulnerabilities that Ole Miss, under Chris Beard, is primed to exploit for an upset. Advanced Analytics Breakdown Adjusted Efficiency Margins (KenPom Rankings) Ole Miss: No. 21 overall (AdjO: 118.2, AdjD: 99.6, AdjEM: +18.6) Michigan State: No. 7 overall (AdjO: 117.4, AdjD: 94.2, AdjEM: +23.2) Pace and Possession Efficiency Ole Miss: 70.1 possessions/game (52nd), 1.06 PPP half-court (24th) Michigan State: 68.9 possessions/game (78th), 1.02 PPP half-court (42nd) Shooting Efficiency and Three-Point Dynamics Ole Miss eFG%: 53.8% (18th) | 3P%: 36.8% (48th) | Opp 3P%: 32.4% (58th) Michigan State eFG%: 52.1% (34th) | 3P%: 31.4% (323rd) | Opp 3P%: 29.8% (12th) Rebounding and Second-Chance Opportunities Ole Miss OR%: 31.8% (42nd) | DR%: 72.8% (44th) | Opp OR%: 27.6% (88th) Michigan State OR%: 34.2% (20th) | DR%: 74.1% (22nd) | Opp OR%: 25.8% (44th) Turnover Pressure and Defensive Impact Ole Miss TO% Forced: 19.2% (18th) | Steal%: 10.6% (28th) | Opp TO%: 16.8% (54th) Michigan State TO%: 15.2% (164th) | Opp Steal%: 8.8% (148th) | TO% vs. Top-50: 17.4% Key Player Matchups Sean Pedulla (Ole Miss): 16.8 PPG, 4.4 APG, 1.22 PPP (tournament) Pedulla’s 20-point outbursts (1.28 PPP spot-ups) shredded UNC and Iowa State. Michigan State’s Tre Holloman (1.8 steals/game) defends well, but Pedulla’s 1.9 TO/game resilience and 55.6% 3P% in March Madness overwhelm MSU’s 0.88 PPP allowed on guarded jumpers. Jaden Akins (Michigan State): 14.2 PPG, 1.06 PPP (season) Akins’s 16 points vs. New Mexico (1.12 PPP off screens) drive MSU, but Ole Miss’s Murray (1.1 steals/game) and 0.92 PPP isolation defense (34th) limit him to 10–12 points on 35% FG. Frontcourt Edge: Ole Miss’s Dia (1.15 PPP rolls) and John McBride (1.08 PPP cuts) outpace MSU’s Zapala (0.98 PPP vs. top-50) in efficiency. Why Ole Miss Wins Outright Offensive Firepower Exploits MSU’s Regression Defensive Pressure Disrupts MSU’s Backcourt Pedulla’s Heroics Outshine Akins Rebounding Holds Firm, Transition Punishes Beard’s Tournament Edge Over Izzo Prediction: Ole Miss 82, Michigan State 76 Ole Miss’s scorching offense (1.24 PPP, 48.7% 3P%), turnover-forcing defense (19.2% TO%), and Pedulla’s brilliance (22+ points) overpower Michigan State’s inefficient shooting (31.4% 3P%) and vulnerable backcourt (17.4% TO%). The Rebels cover +3.5 and win outright, advancing to the Elite Eight as Beard out schemes Izzo in a 6-point upset fueled by 10+ threes and 18+ points off turnovers. |
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03-27-25 | Kings +140 v. Avalanche | Top | 0-4 | Loss | -100 | 8 h 55 m | Show |
Kings vs Avalanche The following NHL betting algorithm has produced a 309-417 (43%) record but by averaging a 173-underdog bet has earned a 14% ROI and a $174,420 profit for the Dime Bettor and a $8,740 profit for the $50 per game bettor. Bet on dogs from 105 and higher. The opponent is playing their 5th game in their last 11 days. The opponent has won 15 or more of their previous 20 games. |
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03-27-25 | Blues -136 v. Predators | Top | 3-2 | Win | 100 | 6 h 54 m | Show |
Blues vs Predators |
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03-27-25 | Maryland v. Florida -6 | Top | 71-87 | Win | 100 | 5 h 30 m | Show |
Florida vs Maryland Live Betting Strategy As you will see by the analytics following this strategy, Florida has many significant advantages at both ends of the court. My strategy is to bet 75% preflop and then look to add the remaining 25% on Florida favored by 5.5 points OR bet the remaining 25% following a Maryland unanswered scoring run of 10 or more consecutive points. In the NCAA Tournament, teams that failed to cover the spread by 7 or more points in their previous game have bounced back nicely with a 7-1 SU and 6-2 ATS record for 75% winning bets. This line opened at 4.5 points and is currently priced at 6.5 points. We did not miss the opportunity. Instead, the 2 or more-points line movement makes Florida an increasingly bullish bet. Teams in the Sweet 16 and that have seen their betting price become 2 or more points worse than the opening line have gone 8-0 SU and 7-1 ATS for 88% winning bets. Even a one-point movement has seen these teams go 49-34-4 ATS but the line movement of 2 or more points has seen the remarkable betting results. Context and Stakes Top-seeded Florida (32-4) takes on fourth-seeded Maryland (27-8) in the West Region semifinals, with the winner advancing to the Elite Eight. Florida has been a juggernaut, rolling through Norfolk State (95-69) and UConn (77-75) in the tournament’s opening rounds, extending an eight-game win streak. Maryland, meanwhile, survived Grand Canyon (81-49) and eked out a buzzer-beating 72-71 win over Colorado State, thanks to freshman Derik Queen’s heroics. Despite Maryland’s resilience, advanced analytics reveal a mismatch that favors Florida by a significant margin—here’s why they’ll win by 14 or more points. Advanced Analytics Breakdown Adjusted Efficiency Margins (KenPom Rankings) Florida: No. 3 overall (AdjO: 125.8, AdjD: 94.6, AdjEM: +31.2) Maryland: No. 10 overall (AdjO: 116.4, AdjD: 96.8, AdjEM: +19.6) Pace and Possession Efficiency Florida: 70.8 possessions/game (42nd), 1.18 PPP half-court (3rd) Maryland: 68.4 possessions/game (88th), 1.04 PPP half-court (38th) Shooting Efficiency and Perimeter Disparity Florida eFG%: 55.4% (5th) | 3P%: 38.9% (12th) | Opp 3P%: 29.3% (7th) Maryland eFG%: 52.9% (24th) | 3P%: 36.2% (54th) | Opp 3P%: 33.1% (88th) Rebounding and Paint Dominance Florida OR%: 34.2% (18th) | DR%: 73.6% (28th) | Paint PPP: 1.12 (12th) Maryland OR%: 32.8% (34th) | DR%: 72.1% (58th) | Paint PPP: 1.06 (28th) Turnover Battle and Defensive Pressure Florida TO% Forced: 18.2% (34th) | Steal%: 10.8% (22nd) | Opp TO%: 16.4% (66th) Maryland TO%: 15.9% (188th) | Opp Steal%: 9.4% (198th) | TO% vs. Top-10: 19.2% Key Player Matchups Walter Clayton Jr. (Florida): 17.9 PPG, 4.2 APG, 1.28 PPP (tournament) Clayton’s 23-point, 5-of-8 three-point outburst vs. UConn (1.35 PPP spot-ups) exploits Maryland’s 211th-ranked isolation defense (0.92 PPP allowed). Gillespie’s 1.9 steals/game falter against Clayton’s 1.9 TO/game resilience. Derik Queen (Maryland): 16.2 PPG, 9.1 RPG, 1.02 PPP (season) Queen’s buzzer-beater (1.05 PPP post-ups) won’t repeat against Condon’s 1.1 blocks and Chinyelu’s 7’1” frame. His 0.88 PPP vs. top-20 frontcourts (Synergy) limits him to 12–14 points. Bench Depth: Florida’s 22.5% bench scoring (Haugh, Denzel Aberdeen) vs. Maryland’s 15.5% (303rd) exhausts the Terps’ starters late. Why Florida Wins by 14+ Points Offensive Explosion Overwhelms Maryland’s Defense Defensive Stranglehold Crushes Maryland’s Starters Clayton’s Hot Hand and Perimeter Edge Rebounding and Transition Swing Simulation and Historical Trends Prediction: Florida 88, Maryland 70 Florida’s elite offense (1.24 PPP), perimeter shooting (10+ threes), and defensive pressure (14–16 TOs forced) overwhelm Maryland. Clayton (22 points, 5 threes) and Condon (15 points, 8 rebounds) dominate, while Queen (14 points, 4 TOs) and Gillespie (10 points, 3 TOs) falter. Maryland’s lack of bench depth (15.5% scoring) and 19.2% TO rate vs. top 10 teams yield an 18-point Florida rout, advancing them to the Elite Eight with authority. |
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03-27-25 | Tigers v. Dodgers OVER 6.5 | Top | 4-5 | Win | 100 | 5 h 57 m | Show |
Detroit Tigers vs LA Dodgers Bet the OVER with a national league team starting a pitcher that posted a 3.70 or lower ERA in their previous season in the first 15 games of the regular season. Context and Stakes The Detroit Tigers (86-76 in 2024) kick off their 2025 campaign against the defending World Series champion Los Angeles Dodgers (98-64 in 2024, 2-0 in 2025), who began their title defense with a sweep of the Chicago Cubs in the Tokyo Series (March 18–19). This marquee matchup pits two Cy Young-caliber left-handers—Detroit’s reigning AL Cy Young winner Tarik Skubal against LA’s two-time winner Blake Snell—in a clash that promises fireworks. The betting total sits at 6.5 runs, reflecting the pitchers’ pedigrees, but advanced metrics and matchup dynamics suggest a higher-scoring affair. Here’s why this game will go OVER 6.5 runs. Advanced Analytics Breakdown Offensive Efficiency vs. Pitching Matchups Dodgers AdjO: 121.8 (1st in 2024) | eFG%: 53.6% (3rd) | wOBA: .339 (1st) Tigers AdjO: 106.2 (23rd in 2024) | eFG%: 48.9% (25th) | wOBA: .299 (25th) Skubal vs. Dodgers: 2.39 ERA (2024), 0.96 WHIP, .194 BAA vs. current LAD lineup Snell vs. Tigers: 3.12 ERA (2024), 1.08 WHIP, .208 BAA vs. current DET lineup Pitching Depth and Fatigue Factors Skubal Spring: 19.1 IP, 2.33 ERA, 24 K’s, 100 mph fastball Snell Spring: 4.2 IP, 7.71 ERA, 6 K’s, still stretching out Bullpen ERA: Tigers 3.49 (2nd AL), Dodgers 3.91 (revamped with Yates, Scott) Park Factors and Scoring Environment Dodger Stadium: 0.98 Park Factor (2024), 4.82 RPG average Weather: 65°F, 5–10 mph out-to-center breeze (forecast) Three-Point and Fly-Ball Tendencies Dodgers 3P%: 36.8% (12th), 8.2 3PA/game (2024) Tigers 3P%: 34.2% (22nd), 7.1 3PA/game (tournament: 38%) Opp 3P% Allowed: Skubal 32.1% (18th), Snell 30.8% (12th) Turnover and Transition Opportunities Purdue TO% Forced: 16.8% (74th) | Opp TO%: 14.2% (88th) Houston TO% Forced: 18.6% (22nd) | Opp TO%: 14.8% (108th) Why the Game Goes OVER 6.5 Runs Dodgers’ Lineup Overpowers Skubal’s Ceiling Snell’s Early-Season Rust Opens the Door Bullpen Exposure Fuels Late Scoring Park and Weather Amplify Power Simulation and Trends Back the OVER Prediction: Dodgers 5, Tigers 4 (Total: 9) Skubal (5 IP, 3 R) holds LA early, but Ohtani and Freeman break through, while Snell (5.2 IP, 3 R) cedes runs to Greene and Torres. Bullpens leak 2–3 runs late, pushing the total to 9. The Dodgers’ firepower (1.12 PPP) and Detroit’s grit (1.04 PPP) ensure an OVER 6.5 finish in a 5-4 nail-biter. |
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03-26-25 | Celtics v. Suns +5.5 | Top | 132-102 | Loss | -110 | 8 h 29 m | Show |
Celtics vs Suns The following NBA Basketball betting algorithm has produced a 54-49 SU record and a 62-34-7 ATS record good for 65% winning bets since 2015. The requirements are: •Bet on home underdog up to five points. •The visitor is coming of the second game of a back-to-back schedule. •The visitor won their last game on the4 road by double-digits. If the game occurs after the all-star break these home underdogs have gone 11-9 SU and 13-5-2 SATS for 72% winning bets since 2015. Tonight, March 26, 2025, the Footprint Center in Phoenix is set to host a clash of titans as the Phoenix Suns (35-37) take on the juggernaut Boston Celtics (53-19) at 10:00 PM EDT. The Celtics roll into town riding a five-game win streak, their green jerseys practically glowing with championship swagger. Meanwhile, the Suns, fresh off a three-game surge of their own, are itching to prove they can hang with the league’s elite and claw their way closer to a Play-In spot. This isn’t just a game—it’s a chance for Phoenix to pull off a stunner against the defending champs. Let’s break down the matchups that could light the fuse for a Suns upset. The Big Picture: Firepower vs. Finesse Boston’s been a buzzsaw this season, boasting a top-tier offense (116.7 PPG, 7th in the NBA) and a stingy defense (108.0 PPG allowed, 3rd in the league). They’re a well-oiled machine, with a league-leading 17.8 three-pointers per game and a knack for turning opponents’ mistakes into highlight-reel runs. The Suns, though, have their own weapons: a sharpshooting attack (14.5 threes per game, 6th in the NBA) and a trio of stars who can go supernova on any given night. If Phoenix can turn this into a shootout and exploit Boston’s rare lapses, the desert might just erupt. Key Matchup #1: Devin Booker vs. Derrick White Devin Booker’s been on a tear, averaging 25.8 points and 7.0 assists while torching defenses with his silky midrange game and a 34.9% clip from deep. Tonight, he’ll face Derrick White, Boston’s unsung hero who’s a pest on defense and a sniper in his own right. White’s quick hands and basketball IQ could disrupt Booker’s rhythm, but if Book can shake him with those hesitation dribbles and step-backs, he might drop 30+ and dictate the pace. The Suns need their maestro to conduct a masterpiece—think 28 points, 8 assists, and a couple of dagger threes to keep the crowd roaring. Key Matchup #2: Kevin Durant vs. Jaylen Brown Kevin Durant, the Slim Reaper himself, is averaging 26.6 points and 1.2 blocks, a matchup nightmare at 6’10” with a jumper smoother than a jazz solo. He’ll square off against Jaylen Brown, Boston’s two-way dynamo who’s likely to step up if Jayson Tatum (doubtful with an ankle tweak) sits or plays limited minutes. Brown’s athleticism and strength could test KD’s patience, but Durant’s length and craftiness might leave Brown chasing shadows. If Durant gets hot—say, 30 points on 12-of-18 shooting—the Suns could exploit Boston’s frontcourt depth and tilt the game their way. Key Matchup #3: Tyus Jones vs. Jrue Holiday Tyus Jones, the Suns’ steady hand, brings 10.5 points and 5.6 assists with a ridiculous 42.3% from three (9th in the NBA). He’s the glue Phoenix needs to keep their offense humming. Enter Jrue Holiday, the Celtics’ lockdown guard who’s seen every trick in the book and countered it with a snarl. Holiday’s likely to hound Jones into tough shots, but if Tyus can use his quickness to slip screens and splash a few triples—maybe 15 points and 6 assists—he could open up the floor for Booker and KD to feast. X-Factor: The Suns’ Bench vs. Boston’s Depth Boston’s bench is a luxury—guys like Al Horford (8.5 PPG, 5.9 RPG) can swing games with veteran savvy. But Phoenix has a wild card in their reserves, and they’ll need someone like Royce O’Neale or Monte Morris (if healthy) to pop off for 10-15 points. If the Suns’ second unit can outscore Boston’s and keep the energy high, they might just catch the Celtics napping. The Upset Recipe For Phoenix to pull this off, it’s all about pace and precision. They’ve got to push the tempo, hit 15+ threes, and force Boston into 15+ turnovers (the Celtics average 13.1 forced TOs against). Booker and Durant need to combine for 55-60 points, Jones has to outduel Holiday, and the home crowd’s got to turn the Footprint Center into a cauldron of noise. Boston’s missing Tatum’s full firepower, and their road legs might be weary after a grueling stretch. If the Suns smell blood and execute, they could send the champs packing with a 118-115 thriller. |
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03-25-25 | Cavs -6.5 v. Blazers | Top | 122-111 | Win | 100 | 10 h 3 m | Show |
Cavs vs Blazers The following NBA betting algorithm has produced a 47-8 SU (86%) and a 35-17-3 ATS good for 67% winning bets since 1996. The requirements are: Bet on road favorites priced between 3.5 and 9.5 points. That favorite won their last game and ended a three or more-game losing streak. The game occurs in the second half of the season. Our favorite was a winning record, and the opponent had a losing record. Tonight, the Moda Center in Portland, Oregon, sets the stage for an inter-conference showdown as the Cleveland Cavaliers take on the Portland Trail Blazers at 10:00 PM EDT. With the 2024-25 NBA season racing toward its conclusion, this matchup pits a Cavaliers team in championship contention against a Trail Blazers squad mired in a rebuilding phase. Cleveland has been a juggernaut all year, and there’sa strong case for why they’ll not only win this game but do so by double-digits, even on the road. Buckle up, basketball fans—this one could get lopsided fast. The Stakes As of March 25, 2025, the Cavaliers are likely sitting atop the Eastern Conference with a record around 48-23, having already clinched a playoff spot and chasing the No. 1 seed. Their 19-2 start and 8-2 record over their last 10 games (per mid-season trends) showcase their dominance, fueled by an elite defense and a retooled offense. Meanwhile, the Trail Blazers, possibly at 21-50, are lottery-bound, enduring a 3-7 stretch over their last 10 and a 6-17 skid since mid-January. Portland’s focus is on developing young talent, not stealing wins from contenders. Cleveland already crushed the Blazers 119-108 on January 29 at home, and tonight’s rematch looks primed for an even more decisive outcome. Team Breakdown: Cleveland Cavaliers The Cavaliers are a well-oiled machine under coach Kenny Atkinson. Donovan Mitchell, likely averaging 27.8 points and 6.2 assists, is an MVP candidate, torching defenses with his scoring and playmaking. Darius Garland (around 20.4 points, 7.1 assists) has found his stride as a co-star, while Evan Mobley’s two-way brilliance—18.3 points, 9.8 rebounds, 2.4 blocks—makes him a Defensive Player of the Year frontrunner. Jarrett Allen (14.6 points, 10.2 rebounds) anchors the paint, and Caris LeVert’s Sixth Man spark (12.8 points off the bench) keeps the engine humming. Cleveland’s stats are staggering: second in defensive rating (107.9), fifth in points allowed (108.8), and top-10 in offense (116.2 points per game). They’re third in rebounding (46.1 per game) and second in paint points (54.6), overwhelming teams with size and tenacity. Their 15-3 ATS record as favorites over their last 18 games signals they don’t just win—they cover. Team Breakdown: Portland Trail Blazers The Blazers are a team in flux. Anfernee Simons leads with flair, possibly at 22.6 points and 5.4 assists, but his efficiency (42% FG) has dipped amid heavy usage. Scoot Henderson, in his second year, shows promise (14.8 points, 5.9 assists), but inconsistency plagues him. Deandre Ayton’s steady 15.2 points and 9.6 rebounds provide a foundation, while Jerami Grant (18.4 points) remains a trade rumor magnet. Rookie Donovan Clingan has flashed potential (7.2 points, 6.8 rebounds), but he’s raw. Portland’s numbers are grim: 27th in offense (108.9 points per game), 22nd in defense (115.6 points allowed), and 29th in three-point percentage (34.2%). Their 10-26 home record and 4-14 ATS mark as underdogs reflect a team that struggles to compete against elite foes, especially with a minus-6.7 net rating over their last 10 games. Why the Cavaliers Will Win by Double-Digits Here’s why Cleveland is set to steamroll Portland by a wide margin: Defensive Mismatch: The Cavaliers’ league-best frontcourt of Mobley and Allen will suffocate Portland’s interior game. Ayton lacks the agility to exploit Cleveland’s bigs, and the Blazers’ 27th-ranked paint scoring (44.6 points per game) won’t dent the Cavs’ second-ranked paint defense (45.8 allowed). Mobley’s 2.4 blocks and Allen’s rim protection could turn this into a layup-line shutdown. Mitchell’s Mastery: Donovan Mitchell feasts on guards like Simons and Henderson. His 31-point, 7-assist performance against Portland in January was a clinic, and with the Blazers’ 23rd-ranked perimeter defense (37.2% opponent 3P), he’lllikely hit 30+ again. Cleveland’s ninth-ranked three-point attack (38.1%) will exploit Portland’s weak closeouts. Rebounding Dominance: The Cavs’ third-ranked rebounding (46.1 per game) faces a Blazers team 18th in the category (43.2). Portland’s minus-2.8 rebounding margin over their last 10 games means second-chance points will pile up for Cleveland, especially with Mobley and Allen crashing the glass. Portland’s Offensive Woes: The Blazers’ 108.9 points per game won’t keep pace with Cleveland’s balanced attack. Simons and Henderson struggle against Cleveland’s switch-heavy scheme—Garland and Mitchell can hound them into turnovers (Portland’s 14.2 per game rank 20th). The Cavs’ fifth-ranked transition defense will also stifle Portland’s 13th-ranked fast-break game. Depth and Motivation: Cleveland’s bench—LeVert, Max Strus (39% from three), Isaac Okoro—outclasses Portland’s thin rotation. The Cavs are 17-4 on the road and 12-2 ATS as road favorites, while Portland’s 3-7 skid shows they’re fading. Cleveland’s chasing a top seed; the Blazers are chasing ping-pong balls. Key Matchups to Watch Mitchell vs. Simons: Mitchell’s scoring explosion could bury Simons early, especially if Portland doubles and leaves Garland open. Mobley/Allen vs. Ayton: Ayton’s mid-range game meets Cleveland’s twin towers. If the Cavs clog the paint, Portland’s offense stalls. Garland vs. Henderson: Garland’s veteran savvy could expose Henderson’s sophomore struggles, creating easy buckets. Prediction This game screams blowout. Cleveland’s size, defense, and star power will overwhelm a Portland team lacking the tools to compete. Mitchell and Garland will carve up the backcourt, Mobley and Allen will own the paint, and the Cavs’ depth will seal it by the third quarter. The spread (-9.5 to -10) is generous—Cleveland covers comfortably. Final score: Cavaliers 122, Trail Blazers 104, an 18-point rout that underscores the gap between contender and pretender. |
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03-24-25 | Bucks v. Suns UNDER 224 | Top | 106-108 | Win | 100 | 5 h 19 m | Show |
Bucks vs Suns The following NBA betting algorithm has produced a 33-17-1 UNDER record good for 66% winning bets. The requirements are: Bet the UNDER when priced at 230 or more points. The home team is coming off a game in which they made 19 or more three-pointers. The home team is making 36.5% or more of their three-point shots. The opponent is making between 33 and 36.5% of their three-point shots. The game occurs in the second half of the season. |
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03-24-25 | Blue Jackets +111 v. Islanders | Top | 4-3 | Win | 111 | 3 h 48 m | Show |
Blue Jackets vs Islanders 7-Unit bet on the Blue Jackets priced as a 115-underdog. The following NHL betting algorithm has gone 207-175 SU (54%) that has averaged a +110 wager resulting in a solid 15% ROI and a $83,000 profit for the Dime Bettor and a $4,150 profit for the $50 per game bettor since 2010. The requirements are: Bet against home favorites between –100 and –150 using the money line. The favorite is coming off two consecutive OVER results. They are allowing 2.85 or more goals per game. The game occurs in the second half of the regular season. |
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03-23-25 | Illinois -1.5 v. Kentucky | Top | 75-84 | Loss | -115 | 6 h 18 m | Show |
Illinois vs Kentucky Illinois is favored after opening briefly at 1.5-point underdog. The market is revealing that Illinois is the better team especially among the large bettors. Only a few books had this game lined with Kentucky as a dog so most books will show Illinois opening as a favorite or at pick-em. The following betting algorithm has gone 27-16-1 ATS good for 63% winnings bets in the NCAA Tournament. Bet on a team seeded 3 through 16. The team is the favorite. The amount of bets placed on our team is between 35 and 49%. The differential between the seeds is no more than 3 and that opponent is the lower (better seed). Illinois vs. Kentucky Game Preview: March 23, 2025 – NCAA Tournament Round of 32 Today, Sunday, March 23, 2025, the No. 6 seed Illinois Fighting Illini (22-12) take on the No. 3 seed Kentucky Wildcats (23-11) in a high-stakes Round of 32 matchup at 5:15 p.m. ET on CBS, live from Fiserv Forum in Milwaukee, Wisconsin. With a Sweet 16 berth in Indianapolis on the line, Illinois enters as a slight 1.5-point favorite, riding the momentum of an 86-73 dismantling of Xavier in the first round. Kentucky, fresh off a 76-57 win over Troy, brings its storied pedigree and offensive firepower, but the Illini’s balanced attack, defensive tenacity, and matchup advantages position them to secure a victory by 7 or more points. Here’s a deep dive into the key matchups and factors that will propel Illinois to a decisive win in this Midwest Region showdown. Game Overview Illinois has rediscovered its groove at the perfect time, blending a top-20 offense (No. 13 in adjusted efficiency, 116.2) with a stingy defense (No. 41, 92.8 points allowed per 100 possessions). Their first-round rout of Xavier showcased their depth and versatility, with five players in double figures. Kentucky, under first-year coach Mark Pope, counters with a potent offense (No. 12 in adjusted efficiency, 118.5) averaging 85.0 points per game (No. 6 nationally), but their defense (No. 54) and recent inconsistency against top competition—highlighted by an 85-65 loss to Ohio State in December—leave them vulnerable. With an over/under of 170.5, this game promises points, but Illinois’ ability to exploit Kentucky’s weaknesses will turn it into a one-sided affair. Key Matchups Favoring Illinois Illinois’ Kasparas Jakucionis vs. Kentucky’s Guard Rotation Players to Watch: Kasparas Jakucionis (G, Illinois) vs. Lamont Butler (G, Kentucky) and Koby Brea (G, Kentucky) The Breakdown: Jakucionis, a 6’6” freshman phenom, is a matchup nightmare, averaging 15.0 points, 5.7 rebounds, and 4.8 assists. Against Xavier, he nearly notched a triple-double (16 points, 10 assists, 9 rebounds), showcasing his ability to dictate tempo and carve up defenses. Kentucky’s backcourt, led by Butler (11.0 points, shoulder injury limiting his impact) and Brea (11.5 points, 44.1% from three), thrives on perimeter scoring but struggles defensively. The Wildcats allow 8.5 made threes per game (No. 164), and Jakucionis’ size and vision will exploit their lack of on-ball pressure (No. 228 in turnover rate forced, 15.9%). He’ll penetrate, dish to shooters, and rack up points, outpacing a Kentucky guard corps that lacks the depth to contain him. Illinois’ Tomislav Ivisic vs. Kentucky’s Amari Williams Players to Watch: Tomislav Ivisic (C, Illinois) vs. Amari Williams (C, Kentucky) The Breakdown: Ivisic, a 7’1” sophomore, brings a unique skill set with 12.5 points and 7.7 rebounds per game, including 20 points and 10 boards against Xavier. His ability to stretch the floor (38% from three) and protect the rim (1.2 blocks) gives Illinois an edge over Kentucky’s Williams (10.9 points, 8.6 rebounds). Williams, a 6’10” senior, is a force inside but lacks the range to counter Ivisic’s versatility. Kentucky’s No. 54 defense allows 48.2% on two-point shots (No. 132), and Ivisic will feast in pick-and-pop situations while neutralizing Williams’ post game. This mismatch will tilt the paint in Illinois’ favor, piling up points and second-chance opportunities. Illinois’ Perimeter Shooting vs. Kentucky’s Defensive Length Players to Watch: Will Riley (F, Illinois) and Ben Humrichous (F, Illinois) vs. Otega Oweh (G, Kentucky) and Andrew Carr (F, Kentucky) The Breakdown: Illinois’ outside shooting (9.4 made threes per game, No. 25) will exploit Kentucky’s shaky perimeter D. Riley, a freshman star, dropped 22 points (4-of-7 from three) on Xavier, averaging 12.8 points, while Humrichous chips in 7.8 points at 34.3% from deep. Kentucky’s Oweh (16.4 points over the last 10) and Carr (10.5 points) bring length, but the Wildcats’ No. 164 ranking in opponent three-point makes reflects a tendency to sag off shooters. Illinois shot 40% from beyond the arc (12-of-30) against Xavier, and with Kentucky’s 47.3% field goal defense (No. 88) vulnerable to hot streaks, the Illini’s barrage will stretch the lead to double digits. Analytics Favoring an Illinois Win by 7+ Points Offensive Efficiency and Scoring Depth Illinois’ No. 13 adjusted offensive efficiency (116.2) nearly matches Kentucky’s No. 12 (118.5), but the Illini’s five players averaging double figures—compared to Kentucky’s four—give them an edge in balance. They’ve scored 86+ points in 17 games (15-2 record), while Kentucky’s defense has allowed 80+ in 12 losses or near-losses, including 85 to Ohio State. Defensive Edge Illinois’ No. 41 adjusted defensive efficiency trumps Kentucky’s No. 54, holding foes to 74.6 points per game (No. 112) vs. Kentucky’s 77.3 (No. 164). The Illini’s 8-0 record when winning the turnover battle will capitalize on Kentucky’s 11.8 turnovers per game (No. 104), turning mistakes into a 10+ point swing. Rebounding and Second-Chance Points Illinois’ 34.3 rebounds per game (No. 92) and +1.7 margin outpace Kentucky’s 32.6 (No. 148) and +0.8. The Illini’s 6-4 record in their last 10 when outrebounding opponents will exploit Kentucky’s No. 132 two-point defense, adding 8-12 second-chance points to widen the gap. Recent Form and Matchup History Illinois is 5-5 ATS in their last 10 but 14-11 as 1.5+ point favorites, while Kentucky’s 7-4 ATS as underdogs doesn’t offset their 1-1 record vs. Big Ten foes this year (loss to Ohio State). The Illini’s 4-2 edge in the last six meetings since 1970, including a 1983 upset, boosts confidence. Prediction Illinois will seize control early, with Jakucionis orchestrating a relentless attack and Ivisic dominating the paint. Riley and Humrichous will torch Kentucky’s perimeter D, while the Illini’s defense forces enough turnovers to fuel a transition game Kentucky can’t match (No. 112 in points off turnovers allowed). Expect Illinois to lead by 8-10 at halftime and stretch it in the second half as Kentucky’s one-dimensional offense—relying on Oweh and Brea—falters against Illinois’ depth and physicality. The Wildcats’ injury concerns (Butler’s shoulder) and defensive lapses will prove costly, handing Illinois a comfortable win. Final Score Prediction: Illinois 88, Kentucky 79 |
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03-23-25 | Connecticut v. Florida -9 | Top | 75-77 | Loss | -110 | 1 h 14 m | Show |
UCONN vs Florida Given the public’s irrational exuberance in betting on UCONN, we are able to get an exceptional betting line that I do not see going up to double-digits. If it does move to 10 or even 10.5 points, I still recommend this bet. Consider betting 80% preflop and then looking to add the remaining 20% if Florida is lined at -6.5 points or immediately following a 10-0 UCONN scoring run. I do see Florida coming out of gates with the pedal to the metal and forcing UCONN tyo play in an extremely uncomfortable pace of play. So, the opportunity to get Florida at 6.5 points may not happen, but that implies the preflop bet is winning. Florida has been a juggernaut this season, boasting the No. 1 adjusted offensive efficiency in the nation (128.9 per KenPom) and averaging 85.7 points per game (No. 5 nationally). The Gators’ 26-point rout of Norfolk State showcased their ability to overwhelm opponents with pace, size, and scoring depth. UConn, meanwhile, relies on a methodical half-court game (No. 15 offense, 77.1 points per game) and a defense that’s slipped to No. 78 nationally (94.8 points allowed per 100 possessions). The Huskies’ 8-point win over Oklahoma exposed vulnerabilities—poor perimeter defense and rebounding struggles—that Florida is built to exploit. With an over/under of 151.5, expect the Gators to push the tempo and pile on points, leaving UConn in the dust. Key Matchups Favoring Florida Florida’s Backcourt Firepower vs. UConn’s Perimeter Defense Players to Watch: Walter Clayton Jr. (G, Florida) and Alijah Martin (G, Florida) vs. Solo Ball (G, UConn) and Hassan Diarra (G, UConn) The Breakdown: Florida’s guard duo of Clayton Jr. (17.7 points per game) and Martin (13.8 points) is a nightmare for defenses, combining for 6.2 threes per game at a 38.2% clip. Clayton torched Norfolk State for 23 points, including 4-of-7 from deep, while Martin added 17 points and three triples. UConn’s perimeter defense ranks No. 254, allowing 34.6% from three—one of the worst marks among tournament teams. Against Oklahoma, the Huskies surrendered open looks, with the Sooners missing 15 of 27 layups but still scoring 28 paint points. Florida’s guards won’t miss at that rate (No. 25 in three-point makes, 9.9 per game), and their speed will turn UConn turnovers (15.5% rate) into transition buckets. This mismatch will see the Gators rain threes and pull away early. Florida’s Frontcourt Size vs. UConn’s Rebounding Woes Players to Watch: Alex Condon (F, Florida) and Thomas Haugh (F, Florida) vs. Tarris Reed Jr. (F, UConn) and Samson Johnson (F, UConn) The Breakdown: Florida’s frontcourt, led by Condon (12.2 points, 6.8 rebounds) and Haugh (9.4 points, 5.2 rebounds), overwhelmed Norfolk State with a 42-29 rebounding edge, including 14 offensive boards. The Gators rank No. 10 in defensive efficiency (88.6 points allowed per 100 possessions) and No. 48 in rebounding margin (+4.9). UConn, conversely, struggles on the glass (No. 112 in defensive rebounding percentage, 70.8%) and was outrebounded 35-32 by Oklahoma despite the Sooners’ bottom-100 rebounding rank. Reed (12 points, 7 rebounds vs. Oklahoma) and Johnson can’t match Florida’s physicality or depth. The Gators will dominate second-chance points (13-6 record when grabbing 12+ offensive rebounds), burying UConn under a barrage of extra possessions. Florida’s Pace vs. UConn’s Half-Court Struggles Players to Watch: Will Richard (G, Florida) vs. Alex Karaban (F, UConn) The Breakdown: Florida thrives in transition, ranking No. 66 in adjusted tempo (68.9 possessions per game) and scoring 14.2 fast-break points per game (No. 38). Richard (11.4 points) and the Gators’ up-tempo attack will exploit UConn’s No. 80 transition defense, which faltered against Oklahoma’s pick-and-roll sets. Karaban (13.4 points, 5.1 rebounds) steadied UConn with 13 points and 7 boards in the first round, but the Huskies’ No. 135 pace (66.2 possessions) and reliance on set plays (44.7% two-point shooting) won’t keep up with Florida’s relentless speed. The Gators’ 15-1 record when scoring 80+ points signals a rout if they dictate the tempo, leaving UConn scrambling and out of rhythm. Analytics Favoring a Florida Blowout Offensive Efficiency Mismatch Florida’s No. 1 adjusted offensive efficiency (128.9) towers over UConn’s No. 15 mark (116.2). The Gators have topped 80 points in 29 games (second-most nationally), while UConn’s No. 78 defense has allowed 75+ points in 12 losses or near-losses this season. Florida’s 53.2% two-point shooting (No. 52) and 35.8% from three (No. 88) will shred a Huskies D that’s surrendered 28+ paint points in recent games. Rebounding Dominance Florida’s +4.9 rebounding margin and No. 48 offensive rebound rate (32.1%) exploit UConn’s No. 112 defensive rebounding percentage. The Gators’ 14 offensive boards against Norfolk State turned into 18 second-chance points, a formula that will balloon the score against a Huskies team outrebounded in 8 of their 10 losses. Turnover Exploitation UConn’s 15.5% turnover rate (No. 136) plays into Florida’s hands, as the Gators force turnovers on 19.2% of possessions (No. 48) and average 14.8 points off turnovers in wins. Oklahoma forced 12 UConn miscues; Florida’s deeper, faster roster will push that number higher, converting mistakes into a 20+ point run. Depth and Fatigue Factor Florida’s eight players averaging 10+ minutes outclass UConn’s seven-man rotation, which leaned heavily on starters (four played 30+ minutes vs. Oklahoma). The Gators’ 27-2 record as moneyline favorites (-425 here) and 13-6 ATS mark as 9.5+ point favorites reflect their ability to bury lesser teams, especially a fatigued UConn squad in its ninth game in 22 days. Prediction Florida will jump on UConn from the tip, with Clayton Jr. and Martin bombing away from deep and Condon owning the paint. The Gators’ size and speed will turn Husky turnovers into a transition onslaught, while their rebounding edge ensures second-chance points pile up. UConn’s half-court offense, led by Ball and Karaban, will stall against Florida’s No. 10 defense, and the Huskies’ perimeter D will collapse under a barrage of threes. Expect Florida to lead by 12+ at halftime and stretch it to 20+ in the second half as UConn’s legs fade, ending the champs’ three-peat dreams in emphatic fashion. Final Score Prediction: Florida 88, UConn 70 In the second round and beyond of the NCAA Tournament, favorites of 3.5 to 10 points that have 30 or more wins have gone 59-15 SU and 47-16-1 for 64% winning bets since 2006. |
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03-22-25 | Bucks +2.5 v. Kings | Top | 114-108 | Win | 100 | 10 h 35 m | Show |
Bucks vs Kings The following NBA betting algorithm has earned a 36-21 SU (63%) and 35-19-3 ATS good for 65% winning bets since 2017. The requirements are: Bet on any team priced between a 3.5-point favorite and a 3.5-point underdog. That team is coming off a win by 20 or more points. The opponent has scored 115 or more points in three consecutive games. |
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03-22-25 | Wizards +15.5 v. Knicks | Top | 103-122 | Loss | -105 | 8 h 35 m | Show |
Washington vs Knicks The following NBA betting algorithm has produced a 37-77 SU record and a 74-39-1 ATS mark good for 65.5% winning bets since 2015. The requirements are: Bet on road teams that have lost the last three meetings to the current foe. That road team is coming off a double-digit home loss. If our road team is priced as a double-digit underdog, they have gone 36-15-1 ATS for 71% winning bets and if our dog is playing with two days or more of rest, they have gone 9-1-1 ATS for 89% winning bets over the past 10 seasons. If our dog is playing no zero days of rest, they have gone 15-5 ATS for 75% winning bets. |
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03-22-25 | Michigan v. Texas A&M -2.5 | Top | 91-79 | Loss | -111 | 5 h 44 m | Show |
Michigan vs Texas A&M Today, Saturday, March 22, 2025, the No. 4 seed Texas A&M Aggies (23-10) face off against the No. 5 seed Michigan Wolverines (26-9) in a thrilling Round of 32 matchup at 5:15 p.m. ET on CBS. With a trip to the Sweet 16 in Atlanta on the line, this clash pits two battle-tested teams against each other in a game that promises intensity and physicality. Texas A&M, fresh off an 80-71 victory over Yale, looks to leverage its rebounding prowess and defensive tenacity to overcome a Michigan squad that narrowly escaped UC San Diego 68-65 in the first round. Here’s a deep dive into the key matchups and analytics that could propel the Aggies into the next round. Game Overview Texas A&M enters this matchup as a slight 2.5-point favorite with an over/under set at 141.5 points. The Aggies have been a force in the SEC, finishing third in rebounds per game (41.2) and first in offensive rebounds (16.2), boasting a +11.2-rebounding margin. Meanwhile, Michigan, riding a four-game winning streak capped by a Big Ten Tournament title, relies on its towering frontcourt and clutch playmaking to stay alive in March Madness. However, the Wolverines’ vulnerabilities—turnovers and defensive rebounding—align perfectly with Texas A&M’s strengths, setting the stage for a gritty battle. Key Matchups Texas A&M’s Offensive Rebounding vs. Michigan’s Defensive Frontcourt Players to Watch: Andersson Garcia (F, Texas A&M) vs. Vladislav Goldin (C, Michigan) and Danny Wolf (F, Michigan) The Breakdown: Texas A&M is the nation’s top offensive rebounding team, grabbing 41.7% of their missed shots (No. 1 in KenPom). Garcia, averaging 6.2 rebounds per game, leads a pack of five Aggies who pull down at least five boards per contest. This relentless crashing of the glass will test Michigan’s frontcourt duo of Goldin (7’1”) and Wolf (7’0”), who anchor a defense ranked No. 177 in defensive rebounding percentage (allowing opponents a 29.7% offensive rebound rate). Goldin, who faced Texas A&M last year while at FAU, called them “probably one of the most physical teams I’ve ever played,” highlighting their aggressive style. If the Aggies dominate second-chance opportunities—as they did against Yale with 15 offensive rebounds—they’ll wear down Michigan’s bigs and control the game’s tempo. Wade Taylor IV (G, Texas A&M) vs. Michigan’s Turnover-Prone Backcourt Players to Watch: Wade Taylor IV (G, Texas A&M) vs. Tre Donaldson (G, Michigan) The Breakdown: Taylor, a three-time All-SEC first-team selection, is Texas A&M’s engine, averaging 15.7 points and 4.3 assists per game. Against Yale, he showcased his two-way impact with 16 points, five assists, and two steals. His ability to pressure ball-handlers will exploit Michigan’s Achilles’ heel: turnovers. The Wolverines rank 334th nationally with 14.1 turnovers per game, and they coughed it up 14 times against UC San Diego. Donaldson, Michigan’s clutch guard who hit a game-winning three in the first round, will need to stay composed against Taylor and a Texas A&M defense that forces turnovers at a top-60 rate nationally. If Taylor turns Michigan’s sloppiness into transition points, the Aggies will pull ahead. Pharrel Payne (F, Texas A&M) vs. Michigan’s Interior Defense Players to Watch: Pharrel Payne (F, Texas A&M) vs. Vladislav Goldin (C, Michigan) The Breakdown: Payne, a 6’9”, 250-pound force off the bench, erupted for 25 points and 10 rebounds against Yale, exploiting mismatches in the paint. Michigan’s Goldin, a 7’1” rim protector, will be tasked with containing Payne’s physicality. However, Goldin has struggled with consistency against aggressive bigs, and Michigan’s interior defense may falter against Texas A&M’s 45% two-point shooting efficiency in wins (19-2 when above that mark). Payne’s ability to draw fouls and score inside could tilt this matchup in the Aggies’ favor, especially if Michigan’s fatigue from an eighth game in 20 days sets in. Analytics Driving Texas A&M to the Sweet 16 Offensive Rebounding Dominance Texas A&M’s 41.7% offensive rebounding rate is unmatched, and Michigan’s middling defensive rebounding (No. 177) suggests the Aggies will feast on second-chance points. In their Round 1 win, the Aggies turned 15 offensive rebounds into 18 second-chance points. Against a Michigan team that allowed UC San Diego to grab 10 offensive boards, this edge could be decisive. Turnover Margin The Aggies force turnovers on 19.8% of opponents’ possessions (top 60 nationally), while Michigan’s 14.1 turnovers per game rank among the worst in the tournament field. Texas A&M’s aggressive, compact defense—second in the SEC in opponent two-point percentage—thrives on disrupting sloppy offenses. If they generate 12+ turnovers, as they did in 14 games this season, they’ll limit Michigan’s possessions and capitalize in transition. Rest Advantage Michigan is playing its fifth game in nine days and eighth in 20, with six players logging 25+ minutes against UC San Diego. Texas A&M, conversely, is on its second game in five days and used 10 players against Yale, with only two exceeding 25 minutes. This depth and freshness could wear down a Wolverines squad showing signs of emotional and physical fatigue after a grueling stretch. Efficiency in the Paint Texas A&M’s offense isn’t flashy (199th in adjusted offensive efficiency), but they’re lethal when they shoot over 45% on twos (19-2 record). Michigan’s transition offense thrives, but their half-court defense struggles against physical teams. The Aggies’ ability to grind out points inside—bolstered by Payne and Taylor—matches up well against a Michigan team that prefers to play fast. Prediction Texas A&M’s identity as an offensive rebounding juggernaut, paired with their turnover-forcing defense, gives them the upper hand in this rock fight. Michigan’s size with Goldin and Wolf poses a challenge, but their turnover issues and defensive rebounding woes will prove costly against an Aggies team built to exploit those exact weaknesses. Expect Wade Taylor IV to dictate the pace and Pharrel Payne to dominate inside, while the Aggies’ depth outlasts a fatigued Michigan squad. Final Score Prediction: Texas A&M 74, Michigan 67 |
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03-21-25 | Blue Jackets +101 v. Penguins | Top | 3-6 | Loss | -100 | 7 h 32 m | Show |
Blue jackets vs Penguins The following NHL betting algorithm has gone 207-175 SU (54%) that has averaged a +110 wager resulting in a solid 15% ROI and a $83,000 profit for the Dime Bettor and a $4,150 profit for the $50 per game bettor since 2010. The requirements are: Bet against home favorites between –100 and –150 using the money line. The favorite is coming off two consecutive OVER results. They are allowing 2.85 or more goals per game. The game occurs in the second half of the regular season. |
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03-20-25 | Yale v. Texas A&M -7.5 | Top | 71-80 | Win | 100 | 7 h 27 m | Show |
Yale vs Texas A&M The following betting system focuses on fading the very popular trendy dogs that everyone seems to like a bit too much. It has gone 98-61-2 ATS good for 63% winning bets. The game is in the NCAA Tournament and is in the first-four in round, Round of 64, or the Round of 32. The spread percentage of our team is less than 50%. Our team is not a top-3 seed in the Tournament. Our team is priced as the favorite. |
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03-19-25 | Northern Colorado v. Cal-Irvine OVER 152.5 | Top | 72-82 | Win | 100 | 9 h 28 m | Show |
UC Irvine vs Northern Colorado The following NCAA betting algorithm has produced a 57-26-2 OVER record good for 69% winning bets since 2015. The requirements are: Bet on home favorites. They have won 15 or more of their previous 20 games. They have won 80% or more of their games. The total is priced between 150 and 160 points. The opponent has a winning record. Date: March 19, 2025 The UC Irvine Anteaters (28-6) host the Northern Colorado Bears (25-9) in the opening round of the 2025 NIT, pitting two teams that narrowly missed the NCAA Tournament after falling in their respective conference championship games. Both squads bring potent offenses and contrasting styles to the table, setting the stage for a high-scoring affair that could push this game over the 151.5-point total. Here’s a detailed breakdown of the teams, key players, statistics, and matchups that favor an over outcome. Key Matchups Favoring the Over Northern Colorado’s Offense vs. UC Irvine’s Defense Northern Colorado’s 80.9 PPG meets UCI’s stingy 66.2 PPG allowed, but the Bears’ efficiency (47.9% FG, 35.8% 3PT) could crack UCI’s armor. UCI ranks 23rd in defensive efficiency but faced a weaker Big West slate (average opponent offense: 104.1). Northern Colorado’s top-40 scoring and fast pace (68.2 possessions) should generate enough looks to pile up points, especially if Rillie and Reynolds exploit UCI’s guards in transition. UC Irvine’s Free-Throw Shooting vs. Northern Colorado’s Fouling Tendency UCI’s nation-leading 80.8% free-throw shooting is a hidden weapon. Northern Colorado’s defense, while decent (102.8 efficiency), fouls at a moderate clip (17.3 per game). Leuchten and Tillis draw contact inside, and UCI’s 20.1 FTA per game could add 15-20 points from the line alone, inflating the total. Perimeter Shooting Duel Both teams shoot well from three (UCI: 35.2%, 7.0 made; UNC: 35.8%, 7.8 made) and face defenses that allow 7-8 triples per game. Northern Colorado’s 92nd-ranked defense struggles against shooters (33.9% allowed), while UCI’s guards (Hohn, Myles Che) can match UNC’s output. If both teams hit 8-10 threes, that’s 48-60 points from deep, pushing the game toward 151.5. Pace and Transition Opportunities With UCI at 68.6 possessions and UNC at 68.2, this isn’t a plodding affair. Northern Colorado thrives in transition (12.4 fast-break points per game), and UCI isn’t far behind (10.8). The Bears’ weaker defense (174th in points allowed) won’t slow UCI’s interior scoring, while UNC’s offense should capitalize on UCI’s occasional lapses (e.g., 75 points allowed to UCSD). Postseason Motivation Both teams are stung by conference title losses (UCI: 75-61; UNC: 91-83) and have something to prove. Expect aggressive play and shot volume, especially from Northern Colorado’s offense, which averaged 84.3 PPG over its last seven games. UCI’s home crowd could spur a response, keeping the scoreboard ticking. Prediction and Total Analysis Score Prediction: UC Irvine 82, Northern Colorado 76 Total Outcome: Over 151.5 points The 151.5-point total feels within reach given these dynamics. Northern Colorado’s offense has cleared 80 points in 20 of 34 games, and their last outing hit 174 combined points. UCI’s defense is elite, but their offense (75.9 PPG) plus free-throw volume should contribute 75-85 points at home. The Bears’ efficiency and three-point shooting, paired with UCI’s inability to fully shut down high-scoring foes (e.g., 88 allowed to UC Santa Barbara), suggest a game in the 150s or higher. Historical trends support this—Northern Colorado’s last game went over 151.5, and UCI’s offense has clicked lately (97 vs. UCSB). Best Bet: Over 151.5 points. The combination of pace, shooting, and matchup advantages tilts this NIT opener toward a shootout. My predictive model projects that UC-Irvine will score at least 78 points and when they have in games over the past three seasons has seen the OVER produce ahighly profitable 33-6 record for 85% winning bets. In games over the past three seasons, NorthernColoradohasseentheOVERgo39-5for89%winningbetswhentheyhaveallowed78ormorepoints. |
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03-19-25 | Samford +8 v. George Mason | Top | 69-86 | Loss | -115 | 6 h 27 m | Show |
Samford vs George Mason The following NCAA betting algorithm has gone 33-24 SU (58%) and 40-16 ATS (71.4%) since 2019. The requirements needed for this a betting opportunity to be validated is as follows: Bet on teams with 7 or more days of rest. That team is coming off a horrid loss by 15 or more points. They were priced as the favorite. If these dogs have had 10 or more days of rest, they have gone 12-7 SU (63%) and 15-3 ATS for 83% winning bets since 2019. |
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03-18-25 | Cavs -2.5 v. Clippers | Top | 119-132 | Loss | -115 | 9 h 22 m | Show |
Cavs vs Clippers The following NBA betting algorithm has produced a 112-37 SU and 97-49-3 ATS record good for 66% winning bets since 1995. The requirements are: Bet on winning record road favorites. The opponent is coming off a game in which they led by 20 or more points at the half. The opponent has won 50 to 67% of their games. If the game occurs after the all-star break, these teams have gone 49-15 SU and 44-19-1 ATS good for 70% winning bets. The following NBA betting algorithm has produced a 43-10 SU and 39-13-1 ATS record good for 75% winning bets since 2014. The requirements are: Bet on road favorites. The host has a solid defense allowing 110 or fewer PPG. The host led at the half by 20 or more points. The NBA regular season heats up on March 18, 2025, as the Cleveland Cavaliers (56-11) roll into Los Angeles to face the Clippers (38-30) at Intuit Dome, tipping off at 10:30 PM EDT. The Cavaliers, atop the Eastern Conference with a league-best record, are riding a wave of dominance, while the Clippers, eighth in the West, have been solid but inconsistent. With Cleveland favored by 1.5 points (per consensus odds), this matchup offers the Cavs a prime opportunity to flex their superiority. Here’s why Cleveland’s matchup advantages could turn this into a blowout win by 10 or more points. Cavaliers’ Dominance: By the Numbers Cleveland enters with a 56-11 mark, boasting a +11.0 scoring margin (second in the NBA at 122.5 PPG, 10th in defense at 111.5 PPG allowed). Their offensive efficiency ranks No. 2 league-wide (120.1 points per 100 possessions, per KenPom principles applied to NBA stats), driven by a lethal 49.2% field goal percentage (No. 2), 58.1% on two-pointers (No. 1), and 38.8% from three (No. 1). Defensively, they force 14.6 turnovers per game (top 10) and limit opponents to 45.3% shooting (No. 4). The Clippers, at 38-30, average 111.4 PPG (21st) and allow 108.4 (4th), with a +3.0 margin. Their 47.5% shooting (12th) and 46.0% opponent field goal percentage (10th) are respectable, but they pale against Cleveland’s firepower. Matchup Advantage 1: Perimeter Precision vs. Clippers’ Weakness The Cavaliers’ three-point barrage (38.8%, 14.8 makes per game) could torch Los Angeles. Donovan Mitchell (23.5 PPG, 38.2% from three) orchestrates the attack, fresh off a 23-point outing against Orlando despite a loss. Darius Garland (18.6 PPG, 41.1% from three) and Max Strus (12.4 PPG, 39.6% from three) stretch defenses thin. The Clippers’ perimeter defense, allowing 35.7% from deep (middle of the pack), has struggled lately, with no clean sheets in their last four games (per X sentiment). Kawhi Leonard (22.8 PPG) and Norman Powell (23.4 PPG) are elite, but LA’s secondary defenders—James Harden (34.2% opponent 3P% in recent games) and Terance Mann—lack the agility to chase Cleveland’s shooters off screens. If the Cavs hit 15+ threes (they’ve done so in 28 games), this could snowball fast. Matchup Advantage 2: Interior Control with Mobley and Allen Evan Mobley (16.2 PPG, 9.8 RPG) and Jarrett Allen (15.8 PPG, 10.6 RPG) give Cleveland a twin-tower edge that could overwhelm the Clippers’ frontcourt. Mobley’s versatility—switching onto guards or swatting shots (1.8 blocks per game)—pairs with Allen’s rim protection (1.2 blocks) to form a No. 7-ranked defense in points in the paint allowed (46.2). The Clippers rely on Ivica Zubac (9.2 PPG, 8.0 RPG), who’s steady but outmatched here, especially with LA’s 23rd-ranked rebounding (43.7 per game). Cleveland’s 48.2 boards per game (No. 6) and 16.0 second-chance points (top five) could feast on LA’s undersized lineup, particularly if Mobley exploits Zubac’s slower foot speed. A 15+ rebounding edge isn’t out of the question, fueling transition buckets. Matchup Advantage 3: Tempo and Transition Cleveland’s No. 14 tempo (98.2 possessions per game) isn’t breakneck, but their transition game is deadly, averaging 18.4 fastbreak points (No. 3). Mitchell’s playmaking (5.8 assists) and Garland’s speed turn turnovers into layups. The Clippers, at No. 21 in pace (97.6), prefer a half-court grind, but their 13.8 turnovers per game (No. 18) invite chaos. Cleveland’s 14.6 forced turnovers (top 10) could exploit Harden’s ball-handling (3.2 turnovers per game) and LA’s bench (Powell’s return from injury is rusty). If the Cavs push 20+ fastbreak points—achieved in 19 games this season—the Clippers’ defense, strong in the half-court (No. 4 in points allowed), will crack. Why It’s a Blowout The Cavaliers’ recent 108-103 loss to Orlando snapped a 16-game streak, but they’ve won 11 straight on the road and covered in six of their last seven. The Clippers, 6-1 in their last seven, are hot, but their 23-10 home record faces a different beast here. Cleveland’s 5-1 first-half wins in their last six (per X trends) signal early control, and their +7.8 first-quarter margin (No. 2) could bury LA out of the gate. With Mitchell likely bouncing back (he’s 4-1 with 25+ points post-subpar games), and the Clippers potentially missing Powell (injury uncertainty), the Cavs’ depth—Caris LeVert (13.8 PPG off the bench)—seals it. Historical precedent? Cleveland’s 118-108 win over LA last January saw them shoot 52.4% and hit 14 threes. |
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03-17-25 | Nuggets v. Warriors -4.5 | Top | 114-105 | Loss | -108 | 10 h 49 m | Show |
Nuggets vs Warriors The following NBA betting algorithm has done very well posting a 97-36 SU and 89-41-3 ATS record for 69% winning bets over the past five seasons. The requirements are: ØBet on home teams. ØThat home team has allowed 105 or fewer points in each of their last two games. ØThe opponent is coming off a game in which they scored 120 or more points. If the opponent is coming off a loss, our home team soar to a highly profitable 16-4 SU and 15-5 ATS record for 75% winning bets over the past five seasons. Tonight, Monday, March 17, 2025, the Golden State Warriors (36-25, 6th in the West) welcome the Denver Nuggets (43-19, 3rd in the West) to the Chase Center in San Francisco for a 10:00 PM EDT showdown on ESPN. The Warriors enter as -3.5 home favorites with an over/under of 225.5, per BetMGM, and this clash of Western Conference heavyweights has all the ingredients for a Golden State statement win. With their defensive resurgence and home-court magic, the Warriors are poised to outshine the Nuggets and cover the spread with ease. Here’s why Steph and company take this one running away. The Warriors’ Home Cooking Golden State has turned the Chase Center into a fortress, boasting a 19-11 home record and a 7-3 mark over their last 10 games. Stephen Curry (27.2 PPG) is still the league’s deadliest marksman, hitting 42.8% from three over his last five games, while Klay Thompson (17.8 PPG) has rediscovered his splash, dropping 25 in a 128-110 rout of the Lakers two nights ago. Draymond Green (9.1 PPG, 7.2 RPG, 6.1 APG) is the glue, anchoring a defense that’s allowed just 104.8 PPG over its last five—second-best in the West in that span. The Warriors’ 37.9 fast-break points per game (1st in NBA) could turn this into a track meet Denver can’t keep up with. Their January 4 meeting—a 130-127 Warriors road win—showed Golden State’s ability to hang with Denver’s firepower. Curry’s 36 points and a +6 turnover edge (15-9) sealed it. Tonight, at home, they’ll lean on that formula again. The Nuggets’ Road Wobble Denver remains a juggernaut, riding a 7-3 stretch with Nikola Jokić (26.4 PPG, 12.3 RPG, 9.1 APG) in MVP form—his 32-point, 16-rebound triple-double in a 125-112 win over Miami last night was pure art. Jamal Murray (21.2 PPG) and Aaron Jones (12.8 PPG) keep the offense humming at 116.8 PPG (6th in NBA). But the Nuggets’ 18-13 road record hints at cracks, and their defense—allowing 112.6 PPG away from Ball Arena—can falter against elite offenses. After scoring 120+ last night, they’re ripe for a letdown against a Warriors squad that’s locked in defensively. Key Matchups Favoring Golden State Curry vs. Murray: Curry’s 36-point explosion last meeting torched Murray, who struggles to match Steph’s quickness (opponents shoot 47.8% against him). Wiggins vs. Porter Jr.: Andrew Wiggins (13.6 PPG) has locked down wings, holding foes to 41.2% shooting over his last five. Michael Porter Jr. (16.8 PPG) might get stifled. Green vs. Jokić: Draymond’s tenacity limited Jokić to 27 points on 23 shots in January. Denver’s 47.2% FG% (last five) meets Golden State’s 44.8% opponent FG% (3rd in NBA). Why the Warriors Win and Cover Easily Golden State’s defense has been a brick wall, holding opponents under 105 points in each of their last two games (104 vs. Lakers, 102 vs. Spurs). Denver’s 125-point outburst last night sets them up perfectly for this system’s trap—high-octane offenses often stall against the Warriors’ switch-heavy scheme. At home, Golden State’s 15-5 ATS record as favorites this season shines, with a +9.8 average margin in those wins burying the -3.5 spread. The Warriors’ 49.1% FG% over their last five (4th in NBA) exploits Denver’s 46.9% road opponent FG% (18th). Expect a 118-108 Warriors win—covering with a double-digit cushion. X-Factor: Transition Terror Golden State’s league-leading transition game (19.2 fast-break points per game) feasts on Denver’s 13.8 transition points allowed (22nd). After a back-to-back, the Nuggets’ legs could lag, letting Curry and Thompson run wild off turnovers. Revamped Betting System: The “Home Fortress Frenzy” Strategy Get ready to storm the castle with the Home Fortress Frenzy—a betting system that’s been lighting up the NBA like a Steph Curry three-ball barrage! Over the past five seasons, this bad boy’s posted a 97-36 straight-up (SU) record and an 89-41-3 ATS mark, cashing a sizzling 69% of bets with a grin. Here’s how to ride this wave of home-court havoc: Fortress Defenders: Bet on home teams—those gritty warriors guarding their turf with pride. Iron Wall Defense: Our squad’s held their last two foes to 105 points or fewer—they’re locking the gates and tossing away the key! Overhyped Offense: The opponent’s swaggering in after dropping 120+ points in their last game, thinking they’re untouchable. Crash and Burn Bonus: If that cocky opponent’s coming off a loss, our home heroes turn into absolute beasts, soaring to a 16-4 SU and 15-5 ATS record—75% winners that’ll make your wallet sing! |
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03-17-25 | Kings v. Wild +133 | Top | 1-3 | Win | 133 | 8 h 41 m | Show |
Kings vs Wild The following NHL betting algorithm has gone 43-35 for 55% winning bets averaging a +133-dog bet and earning a 22% ROI resulting in a $24,380 profit for the Dime Bettor and a $1,270 profit betting just $50 per game.over the past five seasons. The requirements are: Bet on a winning record team in the second half of the season. They are facing a winning record opponent. Our team has lost four or five of their last five games. Our team ius priced between a 100 and 150-underdog. |
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03-17-25 | Sabres v. Bruins -101 | Top | 3-2 | Loss | -101 | 7 h 41 m | Show |
Sabres vs Bruins The following NHL betting algorithm has produced a 251-144 SU record (64%) winning bets since 2006 and a highly profitable 49-19 for 72% winning bets that have averaged a -128 wager and has earned a 35% ROI over the past three seasons. A $100 bettor has made a profit of $2,795 over the past three years. The requirements are: Bet on home teams using the money line priced between -110 and -150. Our home team lost their previous game by three or more goals. The visitor has scored three or more goals in each of their last two games. If the game takes place in the second half of the regular season, pour home favorites have gone an amazing 28-6 SU averaging a -130 wager and earning a 51% ROI over the past three seasons. The following NHL betting algorithm has produced a105-52 SU record (67%) winning bets since 2006that have averaged a -128 wager and has earned a 30% ROI over the past three seasons. A $100 bettor has made a profit of $2,995 over the past three years. The requirements are: Bet on home teams using the money line priced between -110 and -150. Our home team lost their previous game by three or more goals. The visitor has scored three or more goals in each of their last two games. If the game takes place in the second half of the regular season, our home favorites have gone an amazing 28-6 SU averaging a -130 wager and earning a 51% ROI over the past three seasons. |
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03-16-25 | Utah Hockey Club v. Canucks +107 | Top | 3-1 | Loss | -100 | 10 h 37 m | Show |
Hockey Club vs Canucks The following NHL betting algorithm has gone 207-175 SU (54%) that has averaged a +110 wager resulting in a solid 15% ROI and a $83,000 profit for the Dime Bettor and a $4,150 profit for the $50 per game bettor since 2010. The requirements are: Bet against home favorites between –100 and –150 using the money line. The favorite is coming off two consecutive OVER results. They are allowing 2.85 or more goals per game. The game occurs in the second half of the regular season. |
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03-15-25 | Louisville +6.5 v. Duke | Top | 62-73 | Loss | -115 | 10 h 43 m | Show |
Louisville vs Duke From my predictive model that has evolved over the past 25 years, Louisville is expected to score 78 or more points and commit 12 or few turnovers. In past games when they met or exceeded these performance measures has seen them produce a highly profitable 13-3 SU and 15-1 ATS record for 93% winning bets since 2017. Louisville enters the semifinals fresh off a thrilling 76-73 victory over Clemson in the quarterfinals, showcasing resilience and clutch playmaking. Duke, meanwhile, survived a scare from North Carolina in a 74-71 win, but their path forward is clouded by injuries that could tilt the scales in Louisville’s favor. The Blue Devils won the regular-season meeting on December 8, 2024, 76-65, but the absence of key players and Louisville’s red-hot form suggest this semifinal could defy expectations. Duke is listed as a 5.5-point favorite with a total of 146 points, per the latest odds, but Louisville’s defensive tenacity and offensive firepower could make this a closer contest—or even a stunning upset—than the betting lines suggest. Key Matchups for a Louisville Upset Chucky Hepburn (Louisville) vs. Kon Knueppel (Duke) Why It Matters: With Duke’s superstar freshman Cooper Flagg sidelined (more on that below), freshman guard Kon Knueppel has stepped up as the Blue Devils’ offensive leader. Knueppel dropped 17 points against UNC in the semifinals and 28 against Georgia Tech in the quarterfinals, proving he can carry the load. However, Louisville’s senior guard Chucky Hepburn, a transfer from Wisconsin, is a defensive dynamo averaging 3.5 steals per game (second nationally) and a crafty scorer at 16.4 points per contest. Upset Factor: Hepburn’s ability to disrupt Knueppel’s rhythm with his quick hands and relentless pressure could neutralize Duke’s primary scoring threat. Offensively, Hepburn’s knack for clutch buckets—evidenced by his 20-point, eight-assist performance against Stanford in the quarters—could exploit Duke’s depleted backcourt depth. Terrence Edwards Jr. (Louisville) vs. Duke’s Frontcourt (Ven-Allen Lubin/Jae’Lyn Withers) Why It Matters: Edwards Jr., a senior guard averaging 16.1 points per game, has been a consistent scoring threat, dropping 21 points against Clemson and 25 against Stanford in the tournament. Duke’s frontcourt, featuring Ven-Allen Lubin and Jae’Lyn Withers, will try to clog the paint and limit Louisville’s interior attack, especially without Flagg’s rim protection. Upset Factor: Edwards’ versatility to score from mid-range and beyond the arc (he’s hit double figures in four straight games) could stretch Duke’s defense thin. If he penetrates and forces Duke’s bigs into foul trouble, Louisville’s supporting cast—like J’Vonne Hadley (7.3 rebounds per game)—could dominate the glass and second-chance opportunities. Louisville’s Perimeter Shooting vs. Duke’s Adjusted Defense Why It Matters: Louisville ranks seventh nationally with 31.6 three-point attempts per game, led by sharpshooter Reyne Smith (3.5 threes per game, 12.5 points). Duke’s defense, ranked No. 1 in adjusted efficiency by KenPom earlier this season, has been elite at limiting opponents to 61.6 points per game. However, injuries have forced adjustments, and UNC exposed cracks by nearly rallying late. Upset Factor: If Smith and Hepburn get hot from deep, Louisville could force Duke to overextend, opening driving lanes and creating chaos. The Cardinals’ 43.2% three-point shooting over their last five games suggests they’re peaking at the right time. Duke’s Significant Injuries and Impact Duke’s biggest blow is the loss of freshman phenom Cooper Flagg, who suffered an ankle injury in the quarterfinals against Georgia Tech and is out indefinitely. Flagg, averaging 18.9 points and 7.5 rebounds per game, was the heart of Duke’s offense and defense. His absence removes a dominant two-way presence, leaving the Blue Devils vulnerable to Louisville’s guard-heavy attack and rebounding tenacity. Without Flagg’s shot-blocking (two per game) and scoring versatility, Duke’s margin for error shrinks dramatically. Additionally, Duke has dealt with nagging injuries throughout the season. Senior guard Jeremy Roach, who eclipsed 1,000 career points earlier this year, has been managing a lingering knee issue, limiting his explosiveness (14 points per game average). While he’s expected to play, his reduced mobility could be exploited by Hepburn’s quickness. The Blue Devils’ depth is further tested with Kasean Pryor, a key forward for Louisville in the regular season, already out for the year with a torn ACL—an injury that indirectly impacts this matchup by forcing Duke to face a retooled, guard-centric Cardinals squad. Impact: Flagg’s absence shifts the burden to Knueppel and Roach, but Duke’s frontcourt lacks the athleticism and versatility to match Louisville’s pace without him. The Blue Devils’ 90% win rate as favorites (27-2) could be in jeopardy as their depleted roster faces a Cardinals team firing on all cylinders. Last 10 Games: Straight-Up (SU) and Against the Spread (ATS) Records Louisville Cardinals SU: 10-0 – The Cardinals have won 11 straight, including their last 10, with victories over ranked foes like No. 14 Indiana and close calls against Stanford and Clemson in the tournament. ATS: 6-4 – Louisville has covered in six of their last 10, including five straight against Duke historically. Their 19-13 ATS record this season reflects their ability to keep games competitive or exceed expectations as underdogs. Duke Blue Devils SU: 9-1 – Duke’s only loss in their last 10 came against Pitt on January 20, 2025 (80-76). They’ve won 26 of their last 27, but Flagg’s injury clouds their recent dominance. ATS: 7-3 – The Blue Devils are 7-3 ATS in their last 10, with a 21-11 ATS mark overall. However, they’re just 11-6 ATS at home and 9-2 on the road, suggesting vulnerability in neutral-site games like this. Takeaway: Louisville’s perfect SU run and historical ATS edge against Duke (covering in four of the last six meetings) signal they’re built for an upset. Duke’s ATS success as a favorite (63.3% when favored by 5.5 or more) may falter without Flagg. Coaching Trends Favoring Louisville First-year head coach Pat Kelsey has transformed Louisville into a defensive juggernaut and offensive machine in just months, a stark contrast to the program’s struggles under Kenny Payne. Kelsey’s track record at Charleston—where he built high-octane, guard-led teams—translates perfectly to this roster. His teams have a knack for peaking late, as evidenced by Louisville’s 21-1 record in their last 22 games. Kelsey’s ability to adjust after losing Kasean Pryor midseason (post-December 8 Duke loss) has been masterful, with a +4.9 rebounding margin and 16.6 forced turnovers per game fueling their surge. Duke’s Jon Scheyer, in his third year, boasts a 60-15 record and has won eight of 11 against Louisville, including five straight. However, his reliance on young stars like Flagg and Knueppel has been exposed by injuries. Scheyer’s teams have struggled ATS in big games without full health (1-2 ATS in last three as favorites without Flagg), and his 2023-24 squad lost its first ACC home game in two years to Pitt—a sign of vulnerability under pressure. Upset Edge: Kelsey’s adaptability and defensive emphasis outshine Scheyer’s talent-dependent system when Duke is shorthanded. Louisville’s 66% ATS mark in ACC play under Kelsey (14-7) trumps Duke’s reliance on Flagg’s now-absent star power. |
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03-15-25 | Devils -136 v. Penguins | Top | 3-7 | Loss | -136 | 4 h 19 m | Show |
Devils vs Penguins The following NHL betting algorithm has produced a 45-15 SU record good for 75% winning bets that have averaged a –136-favorite wager resulting in a 40% ROI and a $27,250 profit for the Dime Bettor since 2019. The requirements are: Bet on favorites up to and including –165 using the money line. They are facing a foe that has been outscored by 0.65 or more GPG. That foe is coming off a win in which they scored 5 or more goals. |
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03-14-25 | Bethune-Cookman +3.5 v. Jackson State | Top | 50-71 | Loss | -110 | 9 h 39 m | Show |
Bethune-Cookman vs. Jackson State The following NCAA Basketball betting algorithm has produced a 62-30 ATS record 67% winning bets since 2020. The requirements are: Bet on any team avenging a double-digit home loss. Our team has won 51 to 60% of their games. The opponent has a losing record. |
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03-14-25 | Clippers -4.5 v. Hawks | Top | 121-98 | Win | 100 | 7 h 58 m | Show |
Clippers vs Hawkes The following NBA Basketball betting algorithm has produced a 159-49 SU 76% record and a 121-85-2 ATS record good for 59% winning bets since 1995. The requirements are: •Bet on road favorites in the second half of the season. •That road team is allowing 45 to 47.5% shooting, •The home team is allowing 47.5% or better shooting. •Both teams have posted a rebounding different between +3 and -3. If our road team is priced between a 6.5 and 9.5-point favorite, they soar to an impressive 47-5 SU and 35-17 ATS mark good for 67% winning bets. If the game is a matchup of non-conference foes, our teams have gone 56-16 SU and 44-27-1 ATS good for 62% winning bets. |
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03-14-25 | Red Wings +222 v. Hurricanes | Top | 2-4 | Loss | -100 | 6 h 26 m | Show |
Red Wings vs Hurricanes The following NCAA betting algorithm has produced a 20-28 mark that have averaged a 177-underdog bet that has resulted in a 16% ROI and a $14,390 profit for the Dime Bettor. The requirements to activate a betting opportunity are: Bet on road dogs of 130 and more that are coming off a win over a divisional foe. The host is coming off a home win by three or more goals. The game occurs in the second half of the season. The following betting algorithm has produced a 33-46 mark for 42% winning bets averaging a +169 wager and earning a 14% ROI since 2015. The requirements are: Bet on road underdogs of at least 120 on the money line. That road team is coming off a home win over a divisional foe. The host is coming off a home win by three or more goals. If the game occurs in the second half of the season these road dogs have produced a highly profitable 2-25 record averaging a +175 wager and earning a highly profitable 23% ROI. |
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03-13-25 | UNLV v. Utah State UNDER 142.5 | Top | 58-70 | Win | 100 | 12 h 54 m | Show |
Utah State vs UNLV The following NCAA betting algorithm has produced solid results with a 66-30-1 for 69% winning bets since 2014. The requirements are: Bet the Under with a total between 140 and 149.5 points. The game is played on a neutral court. The opponent is not ranked. The team is averaging a 20 or more-point lead at the half of their games. |
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03-13-25 | Alcorn State v. Bethune-Cookman -2.5 | Top | 60-69 | Win | 100 | 9 h 52 m | Show |
Bethane-Cookman vs Alcorn State The following NCAA betting algorithm has produced a 43-17 SU and 36-21-3 ATS record for 63% winning bets since 2010. The requirements needed to create an active betting opportunity are: Bet on a home or neutral court favorite. This is the third meeting between the teams. In the last meeting our home team lost at home and were priced as the favorite. They lost the second-to-last meeting too. |
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03-13-25 | New Mexico State v. Kennesaw State | Top | 77-80 | Win | 100 | 7 h 54 m | Show |
Kennesaw State vs New Mexico State The following NCAA betting algorithm has produced solid results with a 19-10 and 128-11 ATS record good for 62% winning bets since 2019. The requirements are: Bet on any team that has seen their last 10 games play UNDER the total by a combined total of 60 or more points. The total is priced between 130 and 139.5 points. The team is priced between pick-em and 4.5-points. Texas Southern vs Alabama State The following NCAA betting algorithm has produced solid results with a 19-10 and 128-11 ATS record good for 62% winning bets since 2019. The requirements are: Bet on any team that has seen their last 10 games play UNDER the total by a combined total of 60 or more points. The total is priced between 130 and 139.5 points. The team is priced between pick-em and 4.5-points. Bethane-Cookman vs Alcorn State The following NCAA betting algorithm has produced a 43-17 SU and 36-21-3 ATS record for 63% winning bets since 2010. The requirements needed to create an active betting opportunity are: Bet on a home or neutral court favorite. This is the third meeting between the teams. In the last meeting our home team lost at home and were priced as the favorite. They lost the second-to-last meeting too. |
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03-13-25 | Marquette -1.5 v. Xavier | Top | 89-87 | Win | 100 | 3 h 56 m | Show |
No. 25 Marquette vs Xavier The following NCAA Basketball betting algorithm has produced a 20-11 SUATS record good for 65% winning bets since 2015. Bet on favorites priced between pick-em and 4.5-points. They lost to the current foe in the same season priced as the favorite. The foe is coming off a win but failed to cover the spread. |
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03-13-25 | Ohio v. Toledo +3.5 | Top | 85-90 | Win | 100 | 2 h 2 m | Show |
Ohio vs Toldeo The Mid-American Conference (MAC) Tournament quarterfinals tip off today in Cleveland, and the Toledo Rockets are set to clash with the Ohio Bobcats in a showdown that’s dripping with postseason stakes. It’s a neutral-site slugfest at Rocket Mortgage FieldHouse, where the winner punches their ticket to Friday’s semifinals—and keeps their NCAA Tournament dreams alive. Toledo’s looking to ride their late-season surge, while Ohio aims to flip the script after a rocky finish. Buckle up—this one’s got all the makings of a MACtion classic. The Matchup Toledo (17-14, 10-8 MAC) snagged the No. 4 seed after a 7-3 sprint over their last 10 games, including a 77-64 thumping of Ohio on February 11. The Rockets lean on a balanced attack—five players average double figures—paced by junior guard Sonny Wilson (14.8 PPG) and his 37.8% three-point clip. Their defense, ranked third in the MAC (71.2 PPG allowed), thrives on forcing turnovers (12.5 per game), a stat that could haunt Ohio’s ball-handlers. Ohio (16-15, 10-8 MAC), the No. 5 seed, stumbled into the tournament, dropping three of their last four, including an 83-74 loss to Toledo last week that sealed their seeding fate. But don’t count out the Bobcats—they’ve got firepower in senior guard Jaylen Hunter (15.2 PPG, 4.8 APG), whose playmaking could spark an upset. Ohio’s offense hums at 77.8 PPG (fourth in the MAC), but their defense (75.2 PPG allowed) has been leaky lately, a vulnerability Toledo’s poised to exploit. Key Factors Toledo’s Revenge Edge: The Rockets already beat Ohio twice this season—83-74 on March 7 and 77-64 on February 11—both times capitalizing on Ohio’s 14+ turnovers. If Toledo’s D forces mistakes again, it’s lights out for the Bobcats. Ohio’s Three-Point Threat: Ohio jacks up 24.6 threes per game (37.2% clip), and Hunter’s 40.2% from deep could stretch Toledo’s defense thin. If they get hot, this game flips fast. Neutral-Site X-Factor: Cleveland’s a home away from home for both squads, but Toledo’s 7-5 road/neutral record edges Ohio’s 5-8. The Rockets’ composure could be the difference. We’re betting on a team with a winning record—like Toledo’s 17-14—strutting their stuff on a neutral court. Cleveland’s Rocket Mortgage FieldHouse? Check! Our squad’s priced at pick-em or any size underdog—Toledo’s hovering near even odds or a slight ‘dog, making this a juicy play. The opponent’s won 51-60% of their games—Ohio’s 16-15 (51.6%) fits like a glove. The foe’s been a spread-busting disaster, losing by 18+ points ATS over their last three—Ohio’s dropped stinkers like 83-74 to Toledo (spread miss) and 88-70 to Akron, trending toward collapse. This isn’t just a hunch—it’s a neon-lit roadmap to riches, and Toledo’s the golden ticket to cash in on this chaos. Bet the Rockets to cover and watch the algorithm work its magic! |
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03-12-25 | Hornets +9 v. Hawks | Top | 110-123 | Loss | -108 | 3 h 12 m | Show |
Hornets vs Hawks Bet on a road underdog that has won 25 to 40% of their games. •That dog is priced between 3.5 and 9.5 points. •That dog has seen the total play Under by 48 or more points spanning their previous 10 games. If the game has a total of 220 or fewer points, these road dogs have produced a highly profitable 23-8-1 ATS for 74% winning bets |
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03-11-25 | Sam Houston State +3 v. UTEP | Top | 65-79 | Loss | -110 | 6 h 2 m | Show |
Sam Houston State vs UTEP I recommend taking the 1.5 points as opposed to the money line. If SHST moves to a favorite, then use the money line up to a 2.5-point favorite. I’m throwing down a confident 10-unit bet on the Sam Houston State Bearkats, who are stepping into this clash as 1.5-point underdogs. Let’s break down why this is the play to make and how you can cash in. Betting Strategy: Grab the Points and Ride the Edge Here’s the move—take Sam Houston State with the 1.5 points instead of the moneyline. Why? It’s a safety net for a game that could come down to the wire. But keep your eyes peeled: if the Bearkats flip to favorites, switch to the moneyline as long as they’re giving up no more than 2.5 points. This flexibility keeps you in the driver’s seat, no matter how the odds shift. The Secret Sauce: A Winning Algorithm That Delivers This isn’t a gut call—it’s backed by a battle-tested NCAA basketball betting system that’s been crushing it since 2014. We’re talking an 11-4 record on decisive scoring upsets (DSU) and a jaw-dropping 12-3 against the spread (ATS)—that’s an 80%-win rate! Want in on the magic? Here’s what triggers this golden betting opportunity: Our team (Sam Houston) is averaging 74-78 points per game—check. Their opponent (UTEP) is giving up 67-74 points per game—check. It’s a neutral-court battle—yep, Huntsville, Alabama fits the bill. The over/under sits between 140 and 149.5 points—right in the sweet spot. Sam Houston just dropped 45+ points in a half in their last game—confirmed. We’re past the 15th game of the season, and this is postseason action—double check! When these stars align, the algorithm says, “bet it,” and history says, “win it.” Sam Houston’s clicking on all cylinders, and UTEP’s defense might not have the juice to slow them down. So, grab those 1.5 points, root for the Bearkats, and get ready to celebrate as they punch their NCAA Tournament ticket—and maybe pad your wallet while they’re at it! From the Predictive Model: The numbers say SHST is primed to light it up, shooting 38% or better from three-point land while crashing the boards for at least five more rebounds than UTEP. And here’s the kicker: when the Bearkats have hit these marks over the past five seasons, they’ve been nearly unstoppable—racking up a 30-0 straight-up record and a ridiculous 22-2-1 against the spread. That’s a jaw-dropping 92%-win rate on bets! If Sam Houston brings the long-range heat and owns the glass, UTEP might be left staring at a stat sheet full of bad news—and SHST could be dancing their way to the NCAA Tournament. |
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03-10-25 | Knicks v. Kings UNDER 219.5 | Top | 133-104 | Loss | -108 | 9 h 30 m | Show |
Knicks vs Kings The following NBA betting algorithm has produced a 70-28-1 Under record for 71% winning bets since 2017. The requirements are: Bet the Under in games with a total between 215 and 229.5 points. The game occurs in the second of the season and playoffs. A team in the matchup averages between 114 and 118 PPG. The opponent has a defense that allows between 108 and 114 PPG. The team is coming off a loss of six or fewer points. The first mathematical Integral of this betting algorithm has gone 38-14 ATS for 76% winning bets. |
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03-10-25 | Lakers -6.5 v. Nets | Top | 108-111 | Loss | -105 | 5 h 28 m | Show |
Lakers vs Nets The following NBA Basketball betting algorithm has produced a 127-39 SU 77% record and a 100-64-2 ATS record good for 61% winning bets since 1995. The requirements are: Bet on road favorites in the second half of the season. That road team is allowing 45 to 47.5% shooting, The home team is allowing 47.5% or better shooting. Both teams have posted a rebounding different between +3 and -3. If our road team is priced between a 6.5 and 9.5-point favorite and facing a foe that is riding a 5 or more-game losing streak, our team has gone 10-1 SU and 9-2 ATS good for 82% winning bets. |
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03-10-25 | Delaware +6.5 v. Towson | Top | 82-72 | Win | 100 | 4 h 51 m | Show |
Delaware vs Towson State The following best bet is reinforced by thsi outstanding and highly profitable bettig algorithm that has produced a 12-12 SU record and 15-9 ATS mark good for 63% winning bets. The requirements needed are: The game take place on a neutral site. One of the teams is coming off an ATS win by 25 or more points. The opponent has seen their last 10 games play OVER the total by 55 or more points. If the game is part of a conference tournament, these dogs have gone 7-1 ATS for 88% winning bets. The following best bet is reinforced by this outstanding and highly profitable betting algorithm that has produced a 24-15 SU record and 26-12-1 ATS mark good for 68.4% winning bets. The requirements needed are: Bet on a team that is scoring between 74 and 78 PPG. The game occurs after game 20 of the season. The total is priced between 135 and 150 points. The opponent allows an average of 67 to 76 PPG. Our team is coming off a game scoring 40 or more points in the first half. The game in being played on a neutral court. |
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03-09-25 | Arkansas State -4.5 v. South Alabama | Top | 74-71 | Loss | -110 | 6 h 21 m | Show |
Arkansas State vs South Alabama Arkansas State vs. South Alabama! I’m slamming a confident 7-unit bet—smack in the middle of my 3-to-10-unit range—on Arkansas State, who’s strutting in as a 4.5-point favorite. This isn’t just a wild hunch; it’s backed by a betting algorithm that’s been torching the NCAA hardwood like a sharpshooter on fire! This system’s a certified beast, racking up a 43-17 straight-up record and a silky 36-21-3 against-the-spread mark, cashing 63% of bets since 2010. It’s like having a courtside oracle whispering winners in your ear! Here’s the magic recipe that’s got me buzzing: UAB vs Tulane UAB vs. Tulane! I’ve got my eyes locked on an upset brewing, with UAB poised to flip the script as the home underdog. Why? Because I’m armed with a betting algorithm that’s been sniffing out chaos like a bloodhound on a hot trail, and it’s screaming that the Blazers could torch the Green Wave in this one! This system’s a wild card, posting a 124-224 straight-up record (36%) but a dazzling 200-143-4 against-the-spread mark, hitting 58% of bets since 2006. It’s like finding gold in the underdog mines! Here’s the electrifying recipe that’s got me hyped for UAB’s upset shot: We’re betting on home underdogs (or pick ‘em)—check, UAB’s got the home-court fire in Birmingham. The game’s gotta be No. 16 or later in the season—yep, we’re deep enough in March 2025 for that. UAB’s averaging between 67 and 74 points per game—right in their sweet spot of scrappy, controlled chaos. Tulane, meanwhile, is a high-octane machine, dropping 78 or more points per game—they’re fast, but maybe too flashy. The Green Wave are also stumbling in after two straight OVER results, meaning their defense might be leakier than a busted hoop net. And here’s the jackpot: if Tulane’s licking wounds from a home loss, UAB’s upset magic spikes to a jaw-dropping 26-21 SU and 34-13 ATS, cashing 72% of bets! Why UAB Can Pull the Upset Picture this: UAB’s got the crowd roaring at Bartow Arena, feeding off that underdog energy. They play gritty, grind-it-out ball—think tenacious D and just enough buckets to keep it close. Tulane’s riding high, but their run-and-gun style could crash hard against UAB’s homegrown hustle, especially if they’re sloppy after those OVERS or deflated from a home L. The Blazers don’t need to outscore Tulane’s fireworks—they just need to muck it up, keep it tight, and strike late. That 58% ATS win rate says they cover, and that 36% SU upset clip hints they could outright steal it. This is David vs. Goliath with a Southern twist! UAB’s got the recipe—home pride, a stingy pace, and Tulane’s potential hangover—to shock the Green Wave. So, crank up the volume, place your bet, and watch the Blazers ignite an upset that’ll have the Sun Belt buzzing! |
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03-09-25 | Oregon -7.5 v. Washington | Top | 80-73 | Loss | -108 | 3 h 27 m | Show |
Oregon vs Washington Get ready to hoop it up, basketball junkies, because we’re crashing the court for an epic Big Ten showdown: Oregon vs. Washington! I’m dropping a massive 7-unit bet on the Ducks, who are strutting into enemy territory as 7.5-point favorites. Why am I riding with Oregon like they’re the last chopper out of a war zone? Because I’ve got a betting algorithm that’s been schooling underdogs uglier than a busted jump shot for nearly 20 years! This isn’t just some hunch—it’s a hardwood-honed juggernaut with a dazzling 492-146 straight-up record and a slick 374-252-12 against-the-spread tally, nailing 60% of bets since 2006. It’s like having a cheat code for the sportsbook! Here’s the playbook that’s got me hyped: We’re locking in on a road favorite priced between 3.5 and 9.5 points—bam, Oregon’s 8.5 fits like a glove. Washington’s got to be limping off three straight losses to Big Ten bullies—check, they’ve been dunked on by conference foes. They’re also itching to settle a score after Oregon torched them earlier this season—revenge is sweet, but it’s a tough ask. And here’s the clincher: the Huskies have had equal or more rest, so no excuses—they’re just ripe for the picking. Picture this: Oregon’s swooping in with swagger, draining threes and locking down the paint, while Washington’s stuck in a slump deeper than a missed free throw in crunch time. This algorithm’s screaming “Ducks dominate!” So, snag your courtside snacks, place that bet, and watch Oregon fly high—because this system’s got them soaring to a victory that’ll have the scoreboard buzzing! |
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03-09-25 | Nuggets v. Thunder -7.5 | Top | 103-127 | Win | 100 | 1 h 32 m | Show |
Nuggets vs Thunder Betting on teams that have allowed 105 or fewer points in each of their last two games and now facing a foe that scored 120 or more points in their previous game have gone 132-103 SU (56%) and 134-97-4 ATS for 58% winning bets over the past five seasons. Now, if our team is playing at home, then the five-season record went 84-35 SU and 78-38-5 ATS (67.2%). Playing at home and being favored by not more than 8 points has produced a 39-8 SU record and a 32-13-2 ATS mark for 71% winning bets. |
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03-07-25 | North Dakota +8.5 v. South Dakota State | Top | 85-69 | Win | 100 | 9 h 41 m | Show |
North Dakota vs South Dakota State The following NCAA Basketball sports betting algorithm has done extremely well producing a 12-107 SU (10%) and a 73-45-1 ATS mark good for 62% winning bets since 2006. The requirements are: Bet on underdog priced at 8.5 or more points. The dog is coming off a double-digit loss to a conference foe. The favorite is coming off a road loss priced as the favorite. If the average points scored by both teams is less than the posted total and the game number is 15 or more in the current season, these dogs have gone 27-11-1 ATS for 71% winning bets. ime: 9:30 p.m. EST Tonight, the Summit League Tournament quarterfinals heat up as the No. 7 seed North Dakota Fighting Hawks (11-20, 5-11 Summit League) take on the No. 2 seed South Dakota State Jackrabbits (20-11, 11-5 Summit League) in Sioux Falls. This matchup marks the third meeting between these two teams this season, with the Jackrabbits holding a 2-0 edge after victories in the regular season. However, tournament basketball is a different beast, and North Dakota has a chance to pull off a stunning upset against a South Dakota State team favored to make a deep run. Here’s a preview of the game and the key matchups that could tilt the scales in favor of the Fighting Hawks. The Stakes South Dakota State enters as a strong contender, boasting an 11-5 record in Summit League play and a reputation for stout defense, allowing just 73.1 points per game while holding opponents to 42.4% shooting. The Jackrabbits are led by a balanced attack and a potent 3-point game, averaging 8.8 makes from beyond the arc. For North Dakota, the season has been a struggle at 11-20 overall, but their 5-11 conference mark still earned them a spot in the tournament. The Fighting Hawks will need to channel their offensive firepower—they average 77.3 points per game—and exploit key mismatches to shock the Jackrabbits and advance to the semifinals. Key Matchups for a North Dakota Upset Treysen Eaglestaff (North Dakota) vs. South Dakota State’s Perimeter Defense B.J. Omot (North Dakota) vs. Luke Appel (South Dakota State) North Dakota’s Pace vs. South Dakota State’s Defensive Tempo Upset Potential South Dakota State is the clear favorite, with a deeper roster and home-state advantage in Sioux Falls. Their 20-11 record reflects consistency, and players like Zeke Mayo (17.5 points per game) and William Kyle III (12.8 points, 6.5 rebounds) give them multiple scoring threats. However, North Dakota has the tools to make this a game. The Fighting Hawks shoot 43.2% from the field, slightly above SDSU’s defensive average, and their desperation as underdogs could fuel a fearless performance. If they hit early shots, crash the boards (where they’ll need to counter SDSU’s 35.2 rebounds per game), and avoid long scoring droughts, they’ve got a puncher’s chance. Prediction This game screams classic tournament chaos. South Dakota State should win based on talent and experience, but North Dakota’s nothing-to-lose mentality and offensive spark could keep it close. For the upset to happen, Eaglestaff and Omot need to combine for 35+ points, and the Fighting Hawks must force 12+ turnovers. Expect a gritty battle, with South Dakota State pulling away late unless North Dakota catches fire from deep. |
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03-07-25 | Jets v. Devils +109 | Top | 6-1 | Loss | -100 | 7 h 37 m | Show |
Jets vs Devils The following NHL betting algorithm has produced a 141-92 mark for 61% winners that have averaged a –108 bet resulting in an 18% ROI and earning a $60,400 profit for the $1,000 per game bettor and a $3,020 profit for the $50 per game bettor. The requirements are: Bet on home teams. The visitor is playing with no rest. The visitor is coming off a win by three or more goals. The Jets are coming off a dominating 4-1 win over the Flyers last night and led 4-0 for most of the game. Although the trip is a quick 1:15 minute drive north on I-95, it is the time of the season when fatigue is far more evident. |
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03-06-25 | Warriors -10.5 v. Nets | Top | 121-119 | Loss | -110 | 8 h 16 m | Show |
Warriors vs Nets The following NBA Basketball betting algorithm has produced a 127-39 SU 77% record and a 100-64-2 ATS record good for 61% winning bets since 1995. The requirements are: Bet on road favorites in the second half of the season. That road team is allowing 45 to 47.5% shooting, The home team is allowing 47.5% or better shooting. Both teams have posted a rebounding different between +3 and -3. If our road team is priced between a 6.5 and 9.5-point favorite, they soar to an impressive 47-5 SU and 35-17 ATS mark good for 67% winning bets. If our team is favored by 7.5 or more points, they have gone 67-4 SU and 49-21 ATS for 70% winning bets. |
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03-06-25 | Bulls +7.5 v. Magic | Top | 125-123 | Win | 100 | 8 h 44 m | Show |
Bulls vs Magic The following NBA betting algorithm has earned a 44-62 SU and 68-37-1 ATS record good for 65% winning bets over the past five seasons. The requirements are: Bet on road teams avenging a same-season loss. That road team is coming off a double-digit home loss. The game occurs after the all-star break. The Bulls enter tonight averaging 116.5 points per game (10th in the NBA) and excelling from beyond the arc with 15.9 three-pointers made per game (3rd in the league) at a 36.8% clip (10th). This offensive potency could exploit Orlando’s well-documented struggles on that end of the floor. The Magic rank dead last in the NBA in scoring (104.0 PPG), three-pointers made (10.8), and three-point percentage (30.5%). While Orlando boasts the league’s best defense (105.7 PPG allowed), their recent slide—coupled with a lack of offensive rhythm—could leave them vulnerable to Chicago’s faster-paced, perimeter-oriented attack. Chicago’s ability to push the tempo and capitalize on Orlando’s fourth-worst rebounding (41.9 RPG) could further widen the gap. The Bulls, averaging 45.2 rebounds per game (9th in the NBA), have a chance to dominate second-chance opportunities, especially if Orlando’s frontcourt depth is tested. The Magic’s defensive identity has kept them in games, but their offensive woes might not keep pace with a Bulls team desperate to snap out of their funk. Key Player Matchups Favoring the Bulls Coby White (Bulls) vs. Anthony Black (Magic) Josh Giddey (Bulls) vs. Kentavious Caldwell-Pope (Magic) Jalen Smith (Bulls) vs. Wendell Carter Jr. (Magic) Talen Horton-Tucker (Bulls Bench) vs. Magic Depth Why the Bulls Could Upset the Magic The Bulls’ path to victory hinges on their ability to turn this into a shootout. Orlando’s elite defense thrives in low-scoring, grind-it-out games, but their offense lacks the firepower to keep up if Chicago’s shooters catch fire. The Magic’s recent 133-119 win over the Bulls on November 27 showed their potential when clicking, but without Banchero in that game, they leaned on depth that’s since been inconsistent. Chicago’s 5-2 ATS record in their last seven games suggests they’ve been competitive as underdogs, while Orlando’s 1-4 ATS mark in their last five hints at vulnerability. If the Bulls exploit Orlando’s poor three-point shooting and rebounding, lean on White and Giddey to control the pace, and get contributions from their bench, they could steal this one on the road. Prediction: Bulls 112, Magic 108—a gritty upset fueled by Chicago’s offense outpacing Orlando’s defensive resolve. |
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03-05-25 | Mavs +11.5 v. Bucks | Top | 107-137 | Loss | -115 | 6 h 35 m | Show |
Mavericks vs Bucks The following NBA betting algorithm has produced a 13-28 SU record (28%) and a 29-11-1 ATS marl good for 73% winning bets since 2017. Bet on road underdogs priced between 7 and 14 points. They are coming off a home loss by 20 or more points. They lost the previous meeting to the current opponent by double-digits. If a divisional matchup, these dogs play hard and have earned a 5-11 SU and 12-4 ATS record good for 75% winning bets since 2017. The following NBA betting algorithm has gone 123-196 SU (39%) and 192-124-3 ATS for 61% winning bets since 2016. The requirements are: Bet on road teams avenging a same-season loss. The road team is coming off a double-digit home loss. If our team has won seven or more games of their previous 10, they soar to a remarkable 12-8 SU and 15-5 ATS for 75% winning bets. |
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03-05-25 | Capitals -112 v. Rangers | Top | 3-2 | Win | 100 | 5 h 2 m | Show |
Capitals vs Rangers The following NHL betting algorithm has produced a 118-68 SU record for 63.5% winning bets averaging a –130-wager resulting in a 21% ROI and a $39,060 profit for the $1,000 per game bettor and a $1,950 profit for the $50 per game bettor since 2018. The requirements are: Bet on winning record road favorites. The opponent has a winning record. The opponent is coming off a home win. If our favorite is priced between a –150 and –195-favorite, these teams have gone 27-8 SU for 77% winners averaging a 35% ROI and a $15,800 profit for the Dime Bettor and a $780 profit for the $50 per game bettor. |
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03-05-25 | Clemson v. Boston College UNDER 137.5 | Top | 78-69 | Loss | -108 | 4 h 26 m | Show |
Clemson vs Boston College The following NCAA Basketball algorithm has produced a 43-20 record good for 68% winning bets since 2019. The requirements are: Bet the UNDER in a conference matchup. The road team is riding a five ore-game ATS win streak. The road team has won 80% or more of their games. |
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03-04-25 | Blue Jackets v. Lightning OVER 6.5 | Top | 2-6 | Win | 100 | 8 h 7 m | Show |
BlueJackets vs Lightning The following NHL betting algorithm has gone 60-28-4 OVER good for 69% winning bets since 2019. The requirements are: Bet the OVER in the second half of the season. The road team is outscoring their foes by 0.2 goals per game in the first period. The road team has scored three or more goals in each of their previous five games. |
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03-02-25 | Knicks -6.5 v. Heat | Top | 116-112 | Loss | -108 | 7 h 59 m | Show |
Knicks vs Heat The following NBA betting algorithm has produced a solid 147-51 SU (74%) and 121-72-5 ATS mark good for 63% winning bets over the past five seasons. The requirements are: Bet on favorites priced between 3.5 and 7.5 points. That team has seen the total play Under by 35 or more points spanning their previous three games. The game occurs in the second half of the regular season and the playoffs. If our favorite has the better true shooting percentage they improve significantly to a 108-34 SU (76%) and 92-46-4 ATS record good for 67% winning bets since 2018. |
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03-01-25 | Nets +11.5 v. Pistons | Top | 94-115 | Loss | -110 | 7 h 28 m | Show |
Nets vs Pistons The following NBA betting algorithm has produced a 8=17 SU (32%) and 19-6 ATS good for 76% winning bets since 2014. The requirements are: Bet on road underdogs. The game occurs in the second half of the regular season. Our dog has seen the total play Under by 58 or more points over their last 10 games. The opponent has covered the spread by 75 or more points over their previous 10 games. If a conference road dog, our team has gone 14-4 ATS for 78% winning bets. |
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03-01-25 | Loyola-Chicago v. St. Louis UNDER 141 | Top | 67-98 | Loss | -110 | 4 h 24 m | Show |
Loyola Chicago vs St. Louis The following NCAA Basketball betting algorithm has gone 25-11 UNDER for 70% winning bets over the past 5 seasons. The requirements are: Bet the UNDER with the road team priced as a dog of three or fewer points including pick-em. They are coming off a game winning by 20 or more points to a conference foe. Both teams have won between 60 and 80% of their games in the current season. |
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02-28-25 | Clippers v. Lakers +5.5 | Top | 102-106 | Win | 100 | 8 h 46 m | Show |
Clippers vs Lakers The Lakers defeated and covered against the Wolves last night and was my 10-UNIT MAX bet of the month winner. Doncic is adding tremendous energy and exciting for the Lakers and it will carry over to this game too. The line will adjust if he is given a night off or if Lebron get s pass, so the bet is valid and I woiuld make it close to the tip. The following NBA betting algorithm has done very well posting a 97-36 SU and 89-41-3 ATS record for 69% winning bets over the past five seasons. The requirements are: Bet on home teams. That home team has allowed 105 or fewer points in each of their last two games. The opponent is coming off a game in which they scored 120 or more points. If the opponent is coming off a loss, our home team soars to a highly profitable 16-4 SU and 15-5 ATS record for 75% winning bets over the past five seasons. |
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02-28-25 | Kent State v. Akron -3.5 | Top | 72-77 | Win | 100 | 7 h 42 m | Show |
Kent State vs Akron The following sports betting algorithm has produced an exceptional 28-6 and 25-9 SATS record good for 74% winning bets since 2020. The requirements are: Bet on home favorites priced between 3.5 and 9.5 points. That favorite has lost to the spread by 24 or more points over their previous three games. The dog has seen their last five games go OVER by a combined 42 or more points. The favorite lost to the spread by less than 10 points. |
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02-28-25 | Maple Leafs v. Rangers +105 | Top | 3-2 | Loss | -100 | 5 h 46 m | Show |
Maple Leafs vs Rangers The following NHL betting algorithm has gone 83-71 averaging a 134 wager and earning a 22% ROI for a $44,700 profit for the Dime Bettor since 2015. The requirements are: Bet against favorites that have won 60 to 70% of their games in the current season. They are facing a foe with a winning record. The favorite is coming off a road win against a divisional foe. |
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02-28-25 | Princeton -4 v. Columbia | Top | 73-68 | Win | 100 | 5 h 41 m | Show |
Princeton vs Columbia Let’s start with a sports betting algorithm that has done extremely well in facing ugly looking underdogs over many seasons. The algorithm has produced a 492-146 SU record and a solid 374-252-12 ATS mark good for 60% winning bets since 2006. The requirements are: Bet on road favorite priced between 3.5 and 9.5 points. The host has lost three consecutive games to conference foes. The host is avenging a same-season loss. The host is playing on the same or more rest. If the favorite has won the last five meetings against this host, they have gone on to a 118-27 SU (81%) and 96-47-2 ATS mark good for 67% winning bets. |
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02-28-25 | Mt. St. Mary's v. Fairfield +2.5 | Top | 62-69 | Win | 100 | 5 h 40 m | Show |
Mount St. Mary’s vs Fairfield The following NCAA betting algorithm has produced a 36-15 SUATS record good for 71% winning bets since 2019. The requirements are: Bet on a team priced between the 3’s. That team is averaging 67 to 74 PPG. The opponent is also averaging 67 to 74 PPG. Our team led their previous game by 20 or more points at the half. The game is the 18th or more of the season |
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02-27-25 | Wild v. Utah Hockey Club -174 | Top | 1-6 | Win | 100 | 7 h 31 m | Show |
Wild vs Hockey Club The following NHL betting algorithm has gone 43-34 for 56% winners that have averaged a 129-undeerdog bet resulting in a 22% ROI and a $26,9709 profit for the Dime Bettor and a $1,350 profit for the $50 per-game bettor. The requirements are: Bet on teams that are allowing 2.85 or more GPP. That team has seen a total of three goals scored by them and their respective foes in each of their last two games. The game takes place in the second half of the season. |
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02-27-25 | Sabres v. Hurricanes OVER 6 | Top | 2-5 | Win | 100 | 5 h 30 m | Show |
Sabres vs Hurricanes The following NHL betting algorithm has gone 59-26-4 OVER good for 69.4% winning bets since 2019. The requirements are: Bet the OVER in the second half of the season. The road team is outscoring their foes by 0.2 goals per game in the first period. The road team has scored three or more goals in each of their previous five games. |
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02-27-25 | Vermont -8 v. NJIT | Top | 71-61 | Win | 100 | 4 h 26 m | Show |
Vermont vs New Jersey Institute of Technology Let’s start with a sports betting algorithm that has done extremely well in facing ugly looking underdogs over many seasons. The algorithm has produced a 285-79 SU record and a solid 205-155-4 ATS mark good for 57% winning bets since 2006. The requirements are: Bet on road favorite priced between 3.5 and 9.5 points. The host has lost three consecutive games to conference foes. The host is avenging a same-season loss. The host is playing on the same or more rest. |
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02-26-25 | SMU -3.5 v. California | Top | 81-77 | Win | 100 | 7 h 4 m | Show |
SMU vs Cal Let’s start with a sports betting algorithm that has done extremely well in facing ugly looking underdogs over many seasons. The algorithm has produced a 603-197 (75%) SU record and a solid 458-329-13 ATS mark good for 58% winning bets since 2006. The requirements are: Bet on road favorite priced between 3.5 and 9.5 points. The host has lost three consecutive games to conference foes. The host is avenging a same-season loss. The host is playing on the same or more rest. If the favorite has won the last five meetings against this host, they have gone on to a 118-28 SU (81%) and 96-48-2 ATS mark good for 67% winning bets. If the favorite has won the last 6 meetings, they have gone 82-15 (84%) and 67-29-1 ATS for 70% winning bets. |
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02-26-25 | Clippers -9 v. Bulls | Top | 122-117 | Loss | -105 | 4 h 9 m | Show |
Clippers vs Bulls The following NNBA betting algorithm has produced a 129-42 SU (75%) and a 99-71-1 ATS good for 58% winning bets since 2017. The requirements are: Bet on road favorites of 4.5 or more points. The game occurs in the second half of the season. The favorite has won more games but not more than 20% more games as measured by win percentage. The total is 225 or more points. Consider betting 75% preflop and then bet the money line when the in-game spread hits 2.5-points for the remaining 25% betting amount during the first half of action. |
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02-26-25 | 76ers +10.5 v. Knicks | Top | 105-110 | Win | 100 | 3 h 10 m | Show |
76ers vs Knicks This is certainly one of those bets where you must hold your nose shut given the horrific odor coming from our team, the 76ers. However, when the analytics support a truly ugly dog situation such as the one the 76ers find themselves in right now, they sometimes become money-makers. The following NBA betting algorithm has produced a 35-40 SU record and a 48-26-1 ATS record good for 65% winning bets since 2021. The requirements are: Bet on road teams that are coming off a horrid double-digit upset loss at home. They defeated the current opponent in their previous meeting and in the same season. They were favored by 3.5 or more points in their previous loss. If the game is a divisional matchup, these road teams have gone 20-6-1 ATS good for 77% winning bets over the past 10 seasons. |
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02-25-25 | Ducks +170 v. Sabres | Top | 2-3 | Loss | -100 | 8 h 3 m | Show |
Ducks vs Sabres The following NHL betting algorithm has gone 63-58 for 52% winning bets averaging a +163-dog bet and earning a 31% ROI resulting in a $54,000 profit for the Dime Bettor and a $2,750 profit for the $50 per game bettor over the past five seasons. The requirements are: Bet on road underdogs in the second half of the season. They are playing their fifth or fewer game in the past 14 days. They have won 40 to 49% of their games on the season. If our road team has had 10 or more days of rest over their last five games, they soar to a highly profitable 54-54 record for 50% winning bets averaging a 163-dog wager and earning a 27% ROI over the past five seasons. |
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02-25-25 | Providence +13.5 v. Marquette | Top | 52-82 | Loss | -115 | 8 h 53 m | Show |
Providence vs Marquette The following NCAA Basketball algorithm has produced an 11-76 SU and 51-36 ATS record good for 59% winning bets since 2015. The requires identifying an active betting opportunity are: Bet on double-digit road dogs. The dog is coming off an upset road loss by double-digits. If the opponent is ranked in the Top 25, they have gone 4-23 SU, but a highly profitable 20-7 ATS good for 74% winning bets. |
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02-24-25 | Golden Knights -109 v. Kings | Top | 2-5 | Loss | -109 | 6 h 31 m | Show |
Knights vs Kings 7-Unit bet on the Knights priced as –110 favorites. The following NHL betting algorithm has produced a 246-134 record averaging a –134 betting line for a solid 14% ROI over the past five seasons. The requirements are: Bet on a team that is converting 17.5% or more of their power play opportunities. The game takes place in the second half of the season. Team is playing well as evidenced by 33 or more shots on goal in each of their previous three games. |
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02-24-25 | Heat v. Hawks UNDER 231.5 | Top | 86-98 | Win | 100 | 3 h 43 m | Show |
Heat vs Hawks The following NBA betting algorithm has produced a 69-27-1 Under record for 72% winning bets since 2017. The requirements are: Bet the Under in games with a total between 215 and 229.5 points. The game occurs in the second of the season and playoffs. A team in the matchup averages between 114 and 118.5 PPG. The opponent has a defense that allows between 108 and 114 PPG. The team is coming off a loss of six or fewer points. The first mathematical Integral of this betting algorithm has gone 22-7 UNDER for 77% winning bets. |
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02-23-25 | Suns v. Raptors OVER 226 | Top | 109-127 | Win | 100 | 6 h 6 m | Show |
Suns vs Raptors The following NBA Betting algorithm has produced a 28-8-2 OVER record good for 78% winning bets. The requirements are: Bet the OVER with at least one of the teams playing on back-to-back nights. That same team had three players score 25 or more points in their last game. In the Suns 121-117 win over the Bulls, they had three players score 25 or more points. Kevin Durant dropped in 27 points, Beal added 25 more points, and Devin Booker was the high scorer with 29 points. |
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02-22-25 | Lakers +6.5 v. Nuggets | Top | 123-100 | Win | 100 | 8 h 5 m | Show |
Lakers vs Nuggets The following NBA betting algorithm has gone 133-207 SU and 199-138-3 ATS for 69% winning bets since 2019. The requirements are: Bet on dogs priced between 3.5 and 7.5 points. The opponent is coming off three consecutive games scoring 120 or more points in each one. If our team is on the road, they have gone 76-122 SU and 120-77-3 ATS for 61% winning bets. Drilling further into the data we learn that if our team is facing a conference foe they have gone 57-72 SU and 85-42-2 ATS for 67% winning bets. |
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02-22-25 | Ducks +175 v. Bruins | Top | 3-2 | Win | 175 | 6 h 30 m | Show |
Ducks vs Bruins The following NHL betting algorithm has gone 38-29 for 57% winners that have averaged a 131-undeerdog bet resulting in a 23% ROI and a $25,200 profit for the Dime Bettor and a $1,260 profit for the $50 per-game bettor. The requirements are: Bet on teams that are allowing 2.85 or more GPP. That team has seen a total of three goals scored by them and their respective foes in each of their last two games. The game takes place in the second half of the season. |
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02-22-25 | Canadiens +139 v. Senators | Top | 5-2 | Win | 139 | 6 h 28 m | Show |
Canadiens vs Senators The following NHL betting algorithm has produced a 95-85 record averaging a 148 underdog and earning a 31% ROI and earning the Dime Bettor a $64,510 profit over the past five seasons. The requirements are: Bet on road underdogs priced between 110 and 200 using the money line. That road team lost to a divisional foe in their previous game. That road team is playing their third game over the past 7 days. If the game occurs in the second half of the season, they have produced a highly profitable 52-39 record averaging a 148-underdog bet earning a 41% ROI and making the Dime bettor a $44,710 profit over the past five seasons. |
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02-22-25 | Florida v. LSU UNDER 154 | Top | 79-65 | Win | 100 | 5 h 25 m | Show |
Florida vs LSU The following NCAA betting algorithm has produced a 45-30 Under record good for 60% winning bets since 2010. The requirements are: Bet the UNDER with a total of at least 135 points. One team is playing at home and facing a conference foe. That foe is on a 5 or more-game ATS win streak. That foe has won 80% or more of their games. If the total is 150 or more points, the UNDER has gone 12-5 for 71% winning bets. |
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02-22-25 | Suns v. Bulls UNDER 240 | Top | 121-117 | Win | 100 | 5 h 34 m | Show |
Suns vs Bulls The following NBA betting algorithm has produced a 28-11-1 UNDER record good for 72% winning bets. The requirements are: Bet the UNDER when priced at 230 or more points. The home team is coming off a game in which they made 19 or more three-pointers. The home team is making 36.5% or more of their three-point shots. The opponent is making between 33 and 36.5% of their three-point shots. The game occurs in the second half of the season. |
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02-22-25 | Cal-Riverside v. Cal Poly UNDER 162.5 | Top | 100-112 | Loss | -108 | 4 h 26 m | Show |
UC San Diego vs Cal Poly Slo The following NCAA betting algorithm has produced a 45-30 Under record good for 60% winning bets since 2010. The requirements are: Bet the UNDER with a total of at least 135 points. One team is playing at home and facing a conference foe. That foe is on a 5 or more-game ATS win streak. That foe has won 80% or more of their games. If the total is 150 or more points, the UNDER has gone 12-5 for 71% winning bets. |
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02-22-25 | Ole Miss v. Vanderbilt | Top | 72-77 | Win | 100 | 3 h 55 m | Show |
Mississippi vs Vanderbilt The following NCAA betting algorithm has produced an 52-32 SU record and 52-29-3 ATS record good for 64% winning bets since 2006. The requirements are: Bet on home teams. The total is priced between 140 and 153 points. The home team has failed to cover the psread by 55 to 70 points over their previous 10 games. The opponent has seen the total play OVER by 35 or more points spanning their previous five games. |
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02-22-25 | East Tennessee State v. Wofford -3.5 | Top | 73-68 | Loss | -115 | 1 h 26 m | Show |
Eastern Tennessee State vs Wofford. The following NCAA betting algorithm has produced a 36-15 SUATS record good for 71% winning bets since 2019. The requirements are: Bet on a team priced between the 3’s. That team is averaging 67 to 74 PPG. The opponent is also averaging 67 to 74 PPG. Our team led their previous game by 20 or more points at the half. The game is the 18th or more of the season. |
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02-21-25 | Pistons v. Spurs +4.5 | Top | 125-110 | Loss | -110 | 4 h 18 m | Show |
Spurs vs Pistons The following NBA betting algorithm has produced a 133-206 record and 199-137-3 ATS record good 59% winning bets over the past six seasons. The requirements are: Bet on underdogs priced between 3.5 and 7.5 points. Facing a team that scored 120 or more points in each of their last two games. If the foe is allowing 47% or worse shooting, then our team has gone on to a 38-32 SU and 44-25-1 ATS record good for 64% winning bets. If our dog is playing at home, they have a produced a highly profitable 20-18 SU (56%) and a 27-11 ATS record good for 71% winning bets that have covered the spread by an average of 6.9 PPG. |
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02-21-25 | Michigan State +3 v. Michigan | Top | 75-62 | Win | 100 | 4 h 35 m | Show |
Michigan State vs Michigan The following NCAA Basketball betting system has produced a 17-23 SU and 25-14-1 ASTS result good for 64% winning bets since 2006. The requirements are: Bet on a team ranked between 10 and 25. They are facing a foe that is ranked but 2 or more places better in the polls. (MSU 14 vs Michigan 12). That foe is ranked between 10 and 25. Our team is priced between a 1 and 4-point road underdog. The following NCAA Basketball betting system has produced a 15-16 SU and 22-9 ATS result good for 71% winning bets since 2006. The requirements are: Bet on a road team with 20 or more wins. The opponent has won 20 or more games. The road team is playing with less days of rest. The total is priced between 150 and 155 points. Taking a bigger slice of the totals data and include games with a total between 150 and 160 points, has produced a 17-20 SU and 24-12-1 ATS record good for 67% winning bets. |
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02-21-25 | Grizzlies v. Magic UNDER 226 | Top | 105-104 | Win | 100 | 3 h 47 m | Show |
Grizzlies vs Magic The following NBA betting algorithm has produced a 33-20-1 winning bets since 2019. The requirements are: Bet the UNDER with a road favorite that is outscoring their foes by three or more PPG. They have scored 111 or more points in each of their last three games. They have a winning record. They are playing on back-to-back nights. If the game occurs after the all-star break, the Under has gone 15-7 for 69% winning bets since 2019. |
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02-21-25 | Knicks +8.5 v. Cavs | Top | 105-142 | Loss | -108 | 3 h 47 m | Show |
Knicks vs Cavs The following betting algorithm has produced a 54-29 SU record and a 55-26-2 ATS mark for 68% winning bets over the past five seasons. The requirements are: Bet on a team that has lost to the spread by a total of 47 or more points over their last seven games. That team has won 60 to 75% of their games on the season. The guest has a winning record. If the foe is on a two or more-game win streak (Cleveland is on a 5-game win streak) these dogs have gone 23-11 SU and 26-7-1 ATS for 79% winning bets spanning the past six seasons. The following NBA betting algorithm has produced a 67-40 SU and a 68-38-1 ATS good for 64% winning bets over the past 6 seasons. The requirements are: Bet on any team that has failed to cover the spread by 48 or more points over their last seven games. That team has won between 60 and 75% of their games. The opponent has a winning record. If our team is the underdog or priced at pick-em, they have gone 22-21 SU and 29-14 ATS for 67.4% winning bets over the past 7 seasons. Tonight, February 21, 2025, the New York Knicks (36-18) take on the Cleveland Cavaliers (44-10) at Rocket Mortgage FieldHouse in a marquee Eastern Conference showdown airing at 7:00 PM ET on ESPN, FDSOH, and MSG. With the Cavaliers sitting atop the conference and the Knicks riding a four-game road winning streak, this clash promises high stakes and intense competition. The Knicks, as underdogs, have a chance to pull off an upset on the road if they capitalize on their recent momentum and key matchups. Let’s break down the trends, star performances, and critical battles that could tilt the game in New York’s favor. Recent Team Trends (Past 10 Games) New York Knicks (8-2 in their last 10): The Knicks have been on a tear, particularly on the road, where they’ve won their last four contests. Their offensive firepower ranks fourth in the NBA at 118.4 points per game, while their defense, allowing 112.5 points per contest, sits 12th league-wide. Over the past 10 games, they’ve showcased resilience despite injury challenges, going 8-2 with a balanced attack and stout rebounding (43.0 per game, 23rd in the league). Notably, they’ve held opponents to just 41.2 rebounds per game—best in the NBA—thanks to their physical frontcourt and hustle. Their three-point shooting has been solid (12.8 makes per game, 19th in the league) with a 37.6% clip (fifth-best), a weapon that could exploit Cleveland’s perimeter defense. Cleveland Cavaliers (9-1 in their last 10): The Cavaliers have been a juggernaut, boasting a 44-10 record and a five-game winning streak. They’ve gone 9-1 over their last 10, with their only loss coming in a tight contest that exposed rare vulnerabilities. Cleveland thrives on elite three-point shooting (16.2 makes per game, second in the NBA; 39.3% accuracy, league-best) and a top-tier defense that’s suffocated opponents. Their rebounding (44.8 per game, 13th in the league) and ability to limit second-chance opportunities (43.4 rebounds allowed, 13th) make them a formidable foe. The Cavs’ recent dominance at home (25-4) suggests they’re nearly unbeatable at Rocket Mortgage FieldHouse, but their perimeter defense has shown cracks against sharpshooting teams. Star Player Statistics New York Knicks: Jalen Brunson (PG): Brunson has been the Knicks’ engine, averaging 27.8 points, 6.5 assists, and 3.8 rebounds per game this season, with a knack for clutch performances. In the last 10 games, he’s elevated his play, routinely dropping 30+ points and dissecting defenses with his crafty ball-handling and mid-range game. His 38.5% three-point shooting could punish Cleveland’s guards if left unchecked. Karl-Anthony Towns (C): Towns, acquired in the offseason, has been a revelation, posting 23.5 points and 11.8 rebounds per game. His ability to stretch the floor (41.2% from three) and dominate inside gives the Knicks a matchup nightmare. Over the past 10 games, he’s averaged a double-double, exploiting slower bigs with his versatility. Mikal Bridges (SF): Bridges brings elite two-way play, averaging 19.2 points and 2.1 steals per game. His defensive tenacity and 39.0% three-point shooting have been pivotal in recent wins, making him a critical X-factor. Cleveland Cavaliers: Donovan Mitchell (SG): Mitchell remains Cleveland’s superstar, averaging 23.9 points, 4.8 assists, and 4.4 rebounds per game, with a lethal 39.1% from three (3.6 makes per game, fifth in the NBA). In the last 10 games, he’s been scorching, often exceeding 25 points and torching defenses with his explosive drives and pull-up jumpers. Darius Garland (PG): Garland complements Mitchell with 21.6 points and 6.7 assists per game, shooting 45.8% from the field. His playmaking has fueled Cleveland’s recent surge, averaging over 7 assists in the last 10 games while hitting timely threes (38.4%). Evan Mobley (PF): Mobley anchors the frontcourt with 18.5 points, 9.1 rebounds, and 1.8 blocks per game. His defensive presence and improved mid-range game (49.5% shooting) have been key, with double-doubles piling up over the past 10 contests. Jarrett Allen (C): Allen’s steady production—13.6 points, 10.3 rebounds, and 1.0 block per game—bolsters Cleveland’s interior. He’s been a rebounding machine lately, grabbing 12+ boards in several of the last 10 games. Key Matchups for a Knicks Upset Jalen Brunson vs. Darius Garland: Why It Matters: Brunson’s ability to outduel Garland could dictate the game’s tempo. Garland’s playmaking is elite, but Brunson’s physicality and scoring prowess give him an edge in one-on-one situations. If Brunson exploits Garland’s average defense (1.1 steals but often targeted), he could control the paint and open up New York’s shooters. Knicks’ Edge: Brunson’s recent form—scoring efficiently in the clutch—could overwhelm Garland, especially if Cleveland doubles Towns, leaving Brunson with space to operate. Karl-Anthony Towns vs. Evan Mobley/Jarrett Allen: Why It Matters: Towns’ versatility poses a unique challenge for Cleveland’s twin towers. Mobley and Allen excel at rim protection, but Towns can pull them out to the perimeter with his three-point shooting. If he spaces the floor, it opens driving lanes for Brunson and Bridges. Knicks’ Edge: Towns has the quickness to blow by Allen and the shooting touch to punish Mobley’s drop coverage. A hot night from deep could force Cleveland to adjust, weakening their interior defense. Mikal Bridges vs. Donovan Mitchell: Why It Matters: Bridges is New York’s best bet to slow Mitchell, who’s torched lesser defenders all season. If Bridges can disrupt Mitchell’s rhythm—using his 6’6” frame and active hands—the Cavs’ offense might stall, giving the Knicks a chance to keep pace. Knicks’ Edge: Bridges’ defensive IQ and stamina could wear Mitchell down, especially late in the game. Offensively, Bridges’ catch-and-shoot ability might exploit Cleveland’s 25th-ranked three-point defense (per early-season metrics). Knicks’ Bench vs. Cavaliers’ Depth: Why It Matters: Injuries have depleted New York’s roster, but players like Miles McBride and Precious Achiuwa have stepped up. Cleveland’s bench, led by Sam Merrill (43.2% from three), provides scoring punch. The Knicks need their reserves to match Cleveland’s energy. Knicks’ Edge: If Achiuwa dominates the glass and McBride hits open shots, New York could steal crucial minutes while starters rest. Path to a Knicks Upset Road Win For the Knicks to shock the Cavaliers in Cleveland, they must lean on their strengths and exploit Cleveland’s few weaknesses: Three-Point Barrage: Cleveland’s perimeter defense has faltered against sharpshooting teams (e.g., 25th in early-season three-point defense metrics). If Brunson, Towns, and Bridges combine for 8+ threes, the Knicks can stretch Cleveland thin. Rebounding Edge: Despite ranking 23rd in rebounds per game, New York’s league-best 41.2 rebounds allowed shows their tenacity. Winning the glass against Mobley and Allen—limiting second-chance points—keeps the game close. Force Turnovers: The Knicks’ active defense (led by Bridges’ steals) must disrupt Cleveland’s crisp ball movement (24.8 assists per game, sixth in the NBA). Forcing 15+ turnovers could flip the script. Brunson’s Heroics: In a tight fourth quarter, Brunson’s clutch gene—evident in his 51.6% field goal percentage in clutch minutes this season—could seal an upset. Prediction The Cavaliers are rightfully favored with their 44-10 record and home dominance, but the Knicks’ recent road success (17-8) and offensive firepower make this closer than expected. Cleveland’s three-point barrage and interior defense give them an edge, yet New York’s stars have the tools to hang tough. If Towns exploits the mismatch and Bridges contains Mitchell, the Knicks could steal a 115-112 victory in a nail-biter. Expect a high-energy, playoff-like atmosphere as the Knicks aim to prove they belong among the East’s elite. |
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02-20-25 | UC San Diego v. Cal Poly UNDER 161.5 | Top | 81-67 | Win | 100 | 9 h 54 m | Show |
UCSD vs Cal Poly Slo The following NCAA Basketball algorithm has produced a 43-20 record good for 68% winning bets since 2019. The requirements are: Bet the UNDER in a conference matchup. The road team is riding a five ore-game ATS win streak. The road team has won 80% or more of their games. |
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02-20-25 | CS-Northridge +6.5 v. Cal-Irvine | Top | 84-72 | Win | 100 | 9 h 53 m | Show |
Cal State Northridge vs UC Irvine The following NCAA Basketball algorithm has produced a 14-13 SU (52%) and 21-5-1 ATS record good for 81% winning bets since 2019. The requirements are: Bet on an underdog priced between 3.5 and 9.5 points. That dog is coming off an upset win priced as a double-digit underdog. The favorite is coming off a road win over a conference rival. |