|
01-13-26 |
Wisconsin v. Minnesota +1.5 |
|
78-75 |
Loss |
-108 |
9 h 22 m |
Show
|
3* HEAVY HITTER on Minnesota +1½
Minnesota catching points at home in this rivalry is the only way to look. Williams Arena is a house of horrors for Big Ten visitors and the atmosphere tonight will be a massive factor.
The Badgers travel to Minneapolis with a decent record but their road efficiency has been falling off a cliff. They rely on a slow, methodical pace that leaves almost no room for error if their jumpers aren't falling.
Minnesota has the length in the frontcourt to match Wisconsin’s physicality and take away those easy post touches. The Gophers have been a cash machine at home lately, covering the spread in four of their last five as an underdog.
Wisconsin’s offense struggles to generate high-quality looks when they can't dictate the tempo. Minnesota’s guards have tightened up their perimeter defense and are forcing teams into late-shot-clock heaves.
This is a classic "letdown" spot for Wisconsin after their big emotional win last week. Minnesota is rested and has been circling this date on the calendar for a month.
In Big Ten rivalry games, the home dog is usually the sharp side of the counter. The Gophers are playing with a lot of confidence right now and they have the rebounding edge to limit Wisconsin to one shot per trip.
Expect a physical, low-scoring battle that comes down to the final possession. Getting the points with the team that has the home-court edge is the winning play here.
I like the Minnesota +1.5.
|
|
01-13-26 |
Marquette v. St. John's -14 |
|
68-92 |
Win
|
100 |
9 h 57 m |
Show
|
4* VEGAS INSIDER on St. John's -14
St. John's is clicking at the perfect time and looking like a legitimate Big East juggernaut. They just went into Omaha this past Saturday and dismantled Creighton by 17 points in a statement road win.
Rick Pitino has this offense humming, with the Red Storm averaging over 85 points per game. They are aggressive, fast, and play with a level of intensity that wears opponents down over 40 minutes.
Marquette is heading in the complete opposite direction right now. They sit at a disappointing 6-11 on the season and have stumbled to a dismal 1-5 start in conference play.
The Golden Eagles are relying heavily on youth and it shows in their consistency. Freshman Nigel James Jr. had a massive 31-point game on Saturday, yet they still could not protect home court in a loss to Villanova.
Marquette has been a disaster on the defensive end all season long. They are surrendering over 76 points per contest and lack the veteran leadership to survive a hostile environment like Madison Square Garden.
St. John's thrives on creating chaos and forces more than 15 turnovers per game. This is a nightmare matchup for a young Marquette backcourt that has struggled with ball security on the road.
The Red Storm also have a massive physical advantage on the glass. Zuby Ejiofor and Bryce Hopkins should dominate a Marquette frontline that is routinely outmuscled for second-chance points.
Marquette is already thin in the rotation with guard Sean Jones dealing with a lingering foot injury. They do not have the depth to keep up with St. John's constant pressure and high-tempo substitutions.
St. John's has covered in four of their last five games as a home favorite. They do not just win games; they keep the foot on the gas and bury struggling teams early.
Expect the Red Storm to jump out to a double-digit lead before the first half is over. There is simply too much veteran talent on the St. John's roster for this young Marquette squad to handle.
Bet St. John's -14.0 (-110).
|
|
01-10-26 |
Utah State -1.5 v. Boise State |
|
93-68 |
Win
|
100 |
11 h 17 m |
Show
|
3* HEAVY HITTER on Utah State -1½
All plays are made using sophisticated machine learning models.
|
|
01-10-26 |
North Dakota +1.5 v. UMKC |
|
81-79 |
Win
|
100 |
10 h 17 m |
Show
|
3* HEAVY HITTER on North Dakota +1½
All plays are made using sophisticated machine learning models.
|
|
01-10-26 |
Clemson v. Notre Dame +3 |
|
76-61 |
Loss |
-110 |
8 h 17 m |
Show
|
4* VEGAS INSIDER on Notre Dame +3
All plays are made using sophisticated machine learning models.
|
|
01-10-26 |
SE Missouri State v. Morehead State +6.5 |
Top |
69-71 |
Win
|
100 |
6 h 47 m |
Show
|
5* NO BRAINER on Morehead State +6½
All plays are made using sophisticated machine learning models.
|
|
01-10-26 |
Denver v. South Dakota +1.5 |
|
72-82 |
Win
|
100 |
4 h 17 m |
Show
|
3* HEAVY HITTER on South Dakota +1½
All plays are made using sophisticated machine learning models.
|
|
01-10-26 |
Georgia Southern v. South Alabama -2.5 |
|
71-87 |
Win
|
100 |
4 h 17 m |
Show
|
4* VEGAS INSIDER on South Alabama -2½
All plays are made using sophisticated machine learning models.
|
|
01-08-26 |
Cal Poly v. CS-Northridge -6.5 |
|
90-95 |
Loss |
-110 |
12 h 22 m |
Show
|
4* VEGAS INSIDER on CS-Northridge -6½
The market is overlooking CS-Northridge's dominance at home, and Cal Poly is ripe for the picking in this Big West Conference clash. The Matadors are not only covering at home, they're obliterating the spread.
**Case for CS-Northridge**
CS-Northridge boasts a 9-2 record at home this season, and more impressively, they are 8-3 against the spread in those games. Their average margin of victory at home is 12.3 points, easily clearing the -6.5 spread. Contrast that with Cal Poly, who are a dismal 2-9 on the road and a mere 3-8 ATS away from home. The numbers tell the story: CS-Northridge thrives in their own gym, while Cal Poly struggles mightily on the road.
Beyond the home/away splits, CS-Northridge is simply the hotter team. They've won 6 of their last 7 games, including a 15-point beatdown of UC San Diego just last week. Cal Poly, meanwhile, has dropped 4 of their last 5, and their offense has been anemic, averaging just 61 points per game during that stretch. The Matadors are currently sitting at 6-3 in conference play, putting them in a solid position to secure a top seed in the Big West Tournament. They need to keep winning to solidify their seeding and build their NCAA tournament resume.
Cal Poly has no such motivation. Their current conference record of 2-7 shows that they are far from contention. They are not playing for a tournament bid and are playing for pride at this point in the season. The value is clear: back the home team with something to play for against a struggling road team.
Bet the CS-Northridge -6.5 (-110).
|
|
01-08-26 |
Arkansas-Little Rock +3 v. SIU-Edwardsville |
|
73-70 |
Win
|
100 |
11 h 60 m |
Show
|
3* HEAVY HITTER on Arkansas-Little Rock +3 The public might see a road underdog and shy away, but the numbers, and more importantly, the *situation*, point to value here. First, the Trojans have been road warriors against the number this year. They are 7-3 ATS on the road. Conversely, SIU-Edwardsville is a dismal 3-7 ATS at home. That's a significant discrepancy, and it suggests the market is overvaluing the Cougars' home-court advantage. Second, Arkansas-Little Rock's recent form is encouraging. They've covered in four of their last five games. They're playing with confidence, and that momentum matters, especially on the road. Finally, sharp money knows that three points is a valuable number in college basketball. Recent data shows that games decided by 1-3 points are higher than average this season. Give me the dog with the points in a spot where they are playing with house money. Bet the Arkansas-Little Rock +3.0 (-110).
|
|
01-08-26 |
Tenn-Martin -2.5 v. Morehead State |
|
76-68 |
Win
|
100 |
10 h 60 m |
Show
|
3* HEAVY HITTER on Tenn-Martin -2½ The market is sleeping on Tenn-Martin's road dominance, a trend that clashes directly with Morehead State's home struggles. This sets up a prime opportunity to exploit an edge. Tenn-Martin boasts a stellar 8-2 ATS record on the road this season, a clear indicator of their ability to perform under pressure away from home. In contrast, Morehead State is a dismal 3-7 ATS at home, suggesting they struggle to capitalize on their home-court advantage. The numbers tell the story: Tenn-Martin thrives as a road favorite, while Morehead State wilts under home expectations. Furthermore, Tenn-Martin is currently riding a 4-game winning streak, showcasing its strong recent form and momentum. Morehead State, on the other hand, has lost 3 of its last 5 games, signaling potential struggles and a lack of consistency. Sharp money knows that momentum matters, and Tenn-Martin has it in spades. Bet the Tenn-Martin -2.5 (-110).
|
|
01-08-26 |
Elon -5.5 v. North Carolina A&T |
Top |
69-64 |
Loss |
-115 |
9 h 30 m |
Show
|
5* NO BRAINER on Elon -5½ The market is sleeping on Elon, and sharp money knows it. North Carolina A&T is simply playing out the string, while Elon has a legitimate shot at the CAA's NCAA tournament bid. That motivation, combined with Elon's superior recent form, makes this a strong play. Elon has covered the spread in 7 of its last 10 games. Conversely, North Carolina A&T has struggled, going 2-8 ATS in that same span. The numbers tell the story: one team is trending up, the other is fading fast. Elon's offense has found its rhythm, averaging 78 points per game over its last five contests. North Carolina A&T, meanwhile, is sputtering at just 65 points per game during that stretch. That's a significant scoring differential that supports Elon covering this relatively small spread. Adding to A&T's woes, starting point guard Jamal Johnson is questionable with an ankle sprain suffered last week. His potential absence further weakens an already struggling offense and gives Elon an even bigger advantage. Bet the Elon -5.5 (-115).
|
|
01-07-26 |
Davidson v. Loyola-Chicago +1.5 |
|
79-64 |
Loss |
-105 |
11 h 27 m |
Show
|
3* HEAVY HITTER on Loyola-Chicago +1½
All plays are made using sophisticated machine learning models.
|
|
01-07-26 |
George Mason v. Fordham +6 |
Top |
67-58 |
Loss |
-112 |
9 h 27 m |
Show
|
5* NO BRAINER on Fordham +6
All plays are made using sophisticated machine learning models.
|
|
01-06-26 |
TCU v. Kansas -6.5 |
Top |
100-104 |
Loss |
-110 |
22 h 34 m |
Show
|
5* NO BRAINER on Kansas -6½ Kansas returns to the Phog looking for blood after a road loss at UCF. Bill Self is 135-24 following a loss during his tenure in Lawrence. That is a massive bounce-back trend for a team that refuses to start conference play with two straight losses. TCU is riding a six-game win streak, but the roster is getting thin in the frontcourt. Center Malick Diallo is out for the year with a torn ACL. Backup big man Vianney Salatchoum is currently questionable with an undisclosed injury. Without their depth, David Punch is left alone to battle Kansas freshman Flory Bidunga in the paint. Bidunga is a force inside, averaging 14.7 points and 9.2 rebounds per game. Darryn Peterson is the primary factor for the Jayhawks. He leads the team with 20.6 points but has been nursing a quad and hamstring injury that forced him to sit late in the UCF game. Even if he is on a slight minutes restriction, he is the most explosive scorer in the Big 12. Guard Jayden Dawson is also doubtful with a wrist injury, but Kansas has the depth to fill the gap at home. Kansas boasts the top field goal percentage defense in the Big 12 at 37.1%. They also hold opponents to a stifling 25.5% from beyond the arc. TCU’s offense thrived against Baylor at home, but Lawrence is a different animal. The Jayhawks are 12-1 all-time against the Horned Frogs at Allen Fieldhouse. Expect the Jayhawks to push the tempo and exploit the Horned Frogs' lack of interior depth. The Phog is where winning streaks go to die. I like Kansas
|
|
01-06-26 |
Iowa -6 v. Minnesota |
|
67-70 |
Loss |
-110 |
10 h 28 m |
Show
|
3* HEAVY HITTER on Iowa -6
All plays are made using sophisticated machine learning models.
|
|
01-05-26 |
Pennsylvania +3 v. Princeton |
Top |
76-78 |
Win
|
100 |
9 h 17 m |
Show
|
5* NO BRAINER on Pennsylvania +3
All plays are made using sophisticated machine learning models.
|
|
01-04-26 |
Kennesaw State -6.5 v. Delaware |
Top |
52-67 |
Loss |
-112 |
4 h 23 m |
Show
|
5* NO BRAINER on Kennesaw State -6½
All plays are made using sophisticated machine learning models.
|
|
01-04-26 |
Cleveland State v. IUPU Ft Wayne -8.5 |
|
71-74 |
Loss |
-110 |
4 h 23 m |
Show
|
4* VEGAS INSIDER on IUPU Ft Wayne -8½
All plays are made using sophisticated machine learning models.
|
|
01-04-26 |
Manhattan v. Merrimack -6 |
|
66-73 |
Win
|
100 |
2 h 23 m |
Show
|
3* HEAVY HITTER on Merrimack -6
All plays are made using sophisticated machine learning models.
|
|
01-03-26 |
Illinois v. Penn State +15.5 |
|
73-65 |
Win
|
100 |
9 h 18 m |
Show
|
4* VEGAS INSIDER on Penn State +15½
All plays are made using sophisticated machine learning models.
|
|
01-03-26 |
Akron -3.5 v. Miami-OH |
|
73-76 |
Loss |
-110 |
6 h 48 m |
Show
|
4* VEGAS INSIDER on Akron -3½
All plays are made using sophisticated machine learning models.
|
|
01-03-26 |
Chattanooga v. VMI +6 |
Top |
71-79 |
Win
|
100 |
3 h 18 m |
Show
|
5* NO BRAINER on VMI +6
All plays are made using sophisticated machine learning models.
|
|
01-03-26 |
Southern Miss v. UL - Lafayette +4 |
|
74-67 |
Loss |
-110 |
3 h 18 m |
Show
|
3* HEAVY HITTER on UL - Lafayette +4
All plays are made using sophisticated machine learning models.
|
|
01-03-26 |
Georgia State v. Coastal Carolina -6 |
|
89-71 |
Loss |
-110 |
3 h 18 m |
Show
|
3* HEAVY HITTER on Coastal Carolina -6
All plays are made using sophisticated machine learning models.
|
|
01-02-26 |
UTEP v. Missouri State -3 |
|
55-79 |
Win
|
100 |
10 h 10 m |
Show
|
3* HEAVY HITTER on Missouri State -3
All plays are made using sophisticated machine learning models.
|
|
01-02-26 |
Jacksonville State v. Delaware +3 |
|
67-64 |
Push |
0 |
9 h 10 m |
Show
|
3* HEAVY HITTER on Delaware +3
All plays are made using sophisticated machine learning models.
|
|
01-01-26 |
Indiana State +9.5 v. Northern Iowa |
Top |
66-75 |
Win
|
100 |
10 h 27 m |
Show
|
5* NO BRAINER on Indiana State +9½
All plays are made using sophisticated machine learning models.
|
|
01-01-26 |
Nebraska-Omaha +8 v. South Dakota State |
|
69-84 |
Loss |
-115 |
8 h 37 m |
Show
|
3* HEAVY HITTER on Nebraska-Omaha +8
All plays are made using sophisticated machine learning models.
|
|
01-01-26 |
Oakland v. Youngstown State -1.5 |
|
85-83 |
Loss |
-115 |
3 h 27 m |
Show
|
3* HEAVY HITTER on Youngstown State -1½
All plays are made using sophisticated machine learning models.
|
|
12-31-25 |
Clemson v. Syracuse +1.5 |
Top |
64-61 |
Loss |
-110 |
4 h 30 m |
Show
|
5* NO BRAINER on Syracuse +1½
All plays are made using sophisticated machine learning models.
|
|
12-31-25 |
Mercer +3.5 v. Furman |
|
72-74 |
Win
|
100 |
2 h 30 m |
Show
|
4* VEGAS INSIDER on Mercer +3½
All plays are made using sophisticated machine learning models.
|
|
12-29-25 |
UTEP +3.5 v. Louisiana Tech |
|
63-75 |
Loss |
-110 |
10 h 51 m |
Show
|
4* VEGAS INSIDER on UTEP +3½
All plays are made using sophisticated machine learning models.
|
|
12-29-25 |
Oakland v. Wright State -3 |
|
73-88 |
Win
|
100 |
9 h 21 m |
Show
|
3* HEAVY HITTER on Wright State -3
All plays are made using sophisticated machine learning models.
|
|
12-28-25 |
Old Dominion +15 v. Maryland |
Top |
58-73 |
Push |
0 |
8 h 30 m |
Show
|
5* NO BRAINER on Old Dominion +15
All plays are made using sophisticated machine learning models.
|
|
12-23-25 |
Villanova +2.5 v. Seton Hall |
Top |
64-56 |
Win
|
100 |
9 h 51 m |
Show
|
5* NO BRAINER on Villanova +2½
All plays are made using sophisticated machine learning models.
|
|
12-22-25 |
Illinois v. Missouri +10 |
|
91-48 |
Loss |
-110 |
10 h 47 m |
Show
|
3* HEAVY HITTER on Missouri +10
All plays are made using sophisticated machine learning models.
|
|
12-22-25 |
Denver +17.5 v. Tulsa |
Top |
85-90 |
Win
|
100 |
5 h 16 m |
Show
|
5* NO BRAINER of the Week on Denver +17½
All plays are made using sophisticated machine learning models.
|
|
12-21-25 |
Idaho -2 v. Cal Poly |
|
83-80 |
Win
|
100 |
9 h 29 m |
Show
|
4* VEGAS INSIDER on Idaho -2
All plays are made using sophisticated machine learning models.
|
|
12-21-25 |
Wisc-Milwaukee v. Cleveland State +7 |
|
81-71 |
Loss |
-115 |
7 h 8 m |
Show
|
4* VEGAS INSIDER on Cleveland State +7
All plays are made using sophisticated machine learning models.
|
|
12-21-25 |
Drake v. Evansville +2.5 |
Top |
66-65 |
Win
|
100 |
6 h 29 m |
Show
|
5* NO BRAINER on Evansville +2½
All plays are made using sophisticated machine learning models.
|
|
12-20-25 |
Boise State -3 v. Nevada |
Top |
66-81 |
Loss |
-110 |
12 h 29 m |
Show
|
5* NO BRAINER on Boise State -3
All plays are made using sophisticated machine learning models.
|
|
12-20-25 |
Tenn-Martin v. Tennessee Tech -2.5 |
|
86-62 |
Loss |
-105 |
6 h 29 m |
Show
|
4* VEGAS INSIDER on Tennessee Tech -2½
All plays are made using sophisticated machine learning models.
|
|
12-19-25 |
Seattle University +8.5 v. Washington |
Top |
70-66 |
Win
|
100 |
14 h 60 m |
Show
|
5* NO BRAINER on Seattle University +8½
All plays are made using sophisticated machine learning models.
|
|
12-19-25 |
Belmont v. Cal-Irvine -1.5 |
|
84-58 |
Loss |
-112 |
11 h 30 m |
Show
|
3* HEAVY HITTER on Cal-Irvine -1½
All plays are made using sophisticated machine learning models.
|
|
12-18-25 |
Tenn-Martin v. Tennessee State -3.5 |
Top |
71-78 |
Win
|
100 |
11 h 56 m |
Show
|
5* NO BRAINER on Tennessee State -3½
All plays are made using sophisticated machine learning models.
|
|
12-17-25 |
Seattle University v. UC-Davis +3.5 |
Top |
79-78 |
Win
|
100 |
11 h 29 m |
Show
|
5* NO BRAINER of the Week on UC-Davis +3½
All plays are made using sophisticated machine learning models.
|
|
12-17-25 |
UC-Santa Barbara -4.5 v. Green Bay |
|
64-67 |
Loss |
-110 |
9 h 29 m |
Show
|
4* VEGAS INSIDER on UC-Santa Barbara -4½
All plays are made using sophisticated machine learning models.
|
|
12-17-25 |
Northern Iowa -4.5 v. Illinois-Chicago |
|
60-54 |
Win
|
100 |
7 h 22 m |
Show
|
4* VEGAS INSIDER on Northern Iowa -4½
All plays are made using sophisticated machine learning models.
|
|
12-16-25 |
Montana State -2.5 v. Cal Poly |
|
83-80 |
Win
|
100 |
12 h 17 m |
Show
|
4* VEGAS INSIDER on Montana State -2½
All plays are made using sophisticated machine learning models.
|
|
12-13-25 |
Duquesne v. Nevada -6.5 |
|
75-78 |
Loss |
-115 |
12 h 29 m |
Show
|
3* HEAVY HITTER on Nevada -6½
All plays are made using sophisticated machine learning models.
|
|
12-13-25 |
SMU v. LSU +1.5 |
|
77-89 |
Win
|
100 |
11 h 36 m |
Show
|
3* HEAVY HITTER on LSU +1½
All plays are made using sophisticated machine learning models.
|
|
12-11-25 |
Appalachian State +5.5 v. East Carolina |
Top |
67-54 |
Win
|
100 |
9 h 27 m |
Show
|
5* NO BRAINER on Appalachian State +5½
All plays are made using sophisticated machine learning models.
|
|
12-10-25 |
Merrimack v. Princeton -3 |
|
59-56 |
Loss |
-110 |
7 h 24 m |
Show
|
4* VEGAS INSIDER on Princeton -3
All plays are made using sophisticated machine learning models.
|
|
12-09-25 |
Villanova v. Michigan -17 |
Top |
61-89 |
Win
|
100 |
8 h 26 m |
Show
|
5* NO BRAINER on Michigan -17
All plays are made using sophisticated machine learning models.
|
|
12-07-25 |
Hofstra +8.5 v. Pittsburgh |
|
80-73 |
Win
|
100 |
6 h 27 m |
Show
|
3* HEAVY HITTER on Hofstra +8½
All plays are made using sophisticated machine learning models.
|
|
12-07-25 |
Fairfield v. Merrimack -2.5 |
|
63-74 |
Win
|
100 |
3 h 27 m |
Show
|
3* HEAVY HITTER on Merrimack -2½
All plays are made using sophisticated machine learning models.
|
|
12-06-25 |
California Baptist +6.5 v. Utah |
|
85-91 |
Win
|
100 |
9 h 19 m |
Show
|
4* VEGAS INSIDER on California Baptist +6½
All plays are made using sophisticated machine learning models.
|
|
12-06-25 |
Colorado v. Colorado State -2.5 |
|
86-91 |
Win
|
100 |
7 h 19 m |
Show
|
3* HEAVY HITTER on Colorado State -2½
All plays are made using sophisticated machine learning models.
|
|
12-06-25 |
Baylor v. Memphis +3 |
|
71-78 |
Win
|
100 |
7 h 49 m |
Show
|
3* HEAVY HITTER on Memphis +3
All plays are made using sophisticated machine learning models.
|
|
12-04-25 |
Cal Poly v. CS-Fullerton +1.5 |
Top |
94-91 |
Loss |
-105 |
12 h 14 m |
Show
|
5* NO BRAINER on CS-Fullerton +1½
All plays are made using sophisticated machine learning models.
|
|
12-03-25 |
South Dakota State -3.5 v. Northern Arizona |
|
75-62 |
Win
|
100 |
10 h 59 m |
Show
|
3* HEAVY HITTER on South Dakota State -3½
All plays are made using sophisticated machine learning models.
|
|
12-03-25 |
IUPU Ft Wayne +8 v. Oakland |
Top |
92-101 |
Loss |
-110 |
9 h 22 m |
Show
|
5* NO BRAINER on IUPU Ft Wayne +8
All plays are made using sophisticated machine learning models.
|
|
12-02-25 |
William & Mary +6.5 v. Duquesne |
Top |
83-79 |
Win
|
100 |
9 h 26 m |
Show
|
5* NO BRAINER on William & Mary +6½
All plays are made using sophisticated machine learning models.
|
|
11-29-25 |
California Baptist -1 v. Oregon State |
Top |
75-69 |
Win
|
100 |
12 h 29 m |
Show
|
5* NO BRAINER on California Baptist -1
All plays are made using sophisticated machine learning models.
|
|
11-29-25 |
La Salle +3 v. Pennsylvania |
|
71-73 |
Win
|
100 |
7 h 59 m |
Show
|
3* HEAVY HITTER on La Salle +3
All plays are made using sophisticated machine learning models.
|
|
11-29-25 |
Air Force v. South Dakota -3.5 |
|
63-80 |
Win
|
100 |
6 h 3 m |
Show
|
3* HEAVY HITTER on South Dakota -3½
All plays are made using sophisticated machine learning models.
|
|
11-28-25 |
Miami-FL -5.5 v. Georgetown |
Top |
78-65 |
Win
|
100 |
9 h 24 m |
Show
|
5* NO BRAINER on Miami-FL -5½
All plays are made using sophisticated machine learning models.
|
|
11-28-25 |
North Dakota State v. Arkansas State -2 |
|
80-85 |
Win
|
100 |
5 h 24 m |
Show
|
4* VEGAS INSIDER on Arkansas State -2
All plays are made using sophisticated machine learning models.
|
|
11-26-25 |
NC State -3 v. Texas |
|
97-102 |
Loss |
-105 |
12 h 57 m |
Show
|
3* HEAVY HITTER on NC State -3
All plays are made using sophisticated machine learning models.
|
|
11-26-25 |
Nebraska-Omaha v. Florida International -4.5 |
|
61-74 |
Win
|
100 |
4 h 16 m |
Show
|
3* HEAVY HITTER on Florida International -4½
All plays are made using sophisticated machine learning models.
|
|
11-25-25 |
SE Missouri State +2 v. Cal Poly |
Top |
84-68 |
Win
|
100 |
10 h 28 m |
Show
|
5* NO BRAINER on SE Missouri State +2
All plays are made using sophisticated machine learning models.
|
|
11-25-25 |
Seton Hall +7.5 v. USC |
|
81-83 |
Win
|
100 |
8 h 52 m |
Show
|
4* VEGAS INSIDER on Seton Hall +7½
All plays are made using sophisticated machine learning models.
|
|
11-25-25 |
Ohio +4 v. Loyola Marymount |
|
58-70 |
Loss |
-110 |
7 h 17 m |
Show
|
4* VEGAS INSIDER on Ohio +4
All plays are made using sophisticated machine learning models.
|
|
11-25-25 |
Samford -5.5 v. Georgia State |
|
78-63 |
Win
|
100 |
5 h 28 m |
Show
|
3* HEAVY HITTER on Samford -5½
All plays are made using sophisticated machine learning models.
|
|
11-25-25 |
Rutgers v. Notre Dame -5.5 |
|
63-68 |
Loss |
-111 |
3 h 28 m |
Show
|
3* HEAVY HITTER on Notre Dame -5½
All plays are made using sophisticated machine learning models.
|
|
11-24-25 |
Yale v. Akron -2 |
|
97-94 |
Loss |
-110 |
10 h 30 m |
Show
|
3* HEAVY HITTER on Akron -2
All plays are made using sophisticated machine learning models.
|
|
11-24-25 |
USC v. Boise State +6 |
|
70-67 |
Win
|
100 |
7 h 30 m |
Show
|
3* HEAVY HITTER on Boise State +6
All plays are made using sophisticated machine learning models.
|
|
11-24-25 |
Massachusetts v. Oregon State -2.5 |
|
73-65 |
Loss |
-110 |
3 h 60 m |
Show
|
4* VEGAS INSIDER on Oregon State -2½
All plays are made using sophisticated machine learning models.
|
|
11-23-25 |
North Dakota v. Western Illinois |
|
78-69 |
Loss |
-110 |
9 h 25 m |
Show
|
4* VEGAS INSIDER on Western Illinois PK
All plays are made using sophisticated machine learning models.
|
|
11-23-25 |
Delaware v. Southern Illinois -7 |
Top |
59-79 |
Win
|
100 |
5 h 25 m |
Show
|
5* NO BRAINER on Southern Illinois -7
All plays are made using sophisticated machine learning models.
|
|
11-23-25 |
Clemson -2.5 v. Georgia |
|
97-94 |
Win
|
100 |
3 h 25 m |
Show
|
3* HEAVY HITTER on Clemson -2½
All plays are made using sophisticated machine learning models.
|
|
11-21-25 |
Montana State -2.5 v. Long Beach State |
|
78-72 |
Win
|
100 |
12 h 21 m |
Show
|
3* HEAVY HITTER on Montana State -2½
All plays are made using sophisticated machine learning models.
|
|
11-21-25 |
Samford v. New Mexico State -6 |
|
72-81 |
Win
|
100 |
11 h 26 m |
Show
|
4* VEGAS INSIDER on New Mexico State -6
All plays are made using sophisticated machine learning models.
|
|
11-21-25 |
Coastal Carolina -3 v. Western Illinois |
|
84-64 |
Win
|
100 |
9 h 21 m |
Show
|
3* HEAVY HITTER on Coastal Carolina -3
All plays are made using sophisticated machine learning models.
|
|
11-21-25 |
Wake Forest v. Memphis +3.5 |
|
69-68 |
Win
|
100 |
9 h 26 m |
Show
|
3* HEAVY HITTER on Memphis +3½
All plays are made using sophisticated machine learning models.
|
|
11-20-25 |
Mississippi State -2.5 v. Kansas State |
|
77-98 |
Loss |
-110 |
12 h 44 m |
Show
|
4* VEGAS INSIDER on Mississippi State -2½
All plays are made using sophisticated machine learning models.
|
|
11-19-25 |
Alabama v. Illinois -3.5 |
Top |
90-86 |
Loss |
-112 |
11 h 27 m |
Show
|
5* NO BRAINER on Illinois -3½
All plays are made using sophisticated machine learning models.
|
|
11-19-25 |
Cal-Irvine v. Utah Valley -2.5 |
|
72-79 |
Win
|
100 |
10 h 19 m |
Show
|
3* HEAVY HITTER on Utah Valley -2½
All plays are made using sophisticated machine learning models.
|
|
11-18-25 |
Eastern Michigan v. Detroit +1.5 |
Top |
72-62 |
Loss |
-105 |
9 h 28 m |
Show
|
5* NO BRAINER on Detroit +1½
All plays are made using sophisticated machine learning models.
|
|
11-17-25 |
Loyola Marymount v. UC-Santa Barbara -3.5 |
Top |
78-74 |
Loss |
-110 |
11 h 28 m |
Show
|
5* NO BRAINER of the Week on UC-Santa Barbara -3½
All plays are made using sophisticated machine learning models.
|
|
11-17-25 |
Drake v. College of Charleston -6 |
|
71-62 |
Loss |
-109 |
9 h 53 m |
Show
|
3* HEAVY HITTER on College of Charleston -6
All plays are made using sophisticated machine learning models.
|
|
11-15-25 |
Belmont v. Oral Roberts +8.5 |
|
83-60 |
Loss |
-112 |
10 h 26 m |
Show
|
4* VEGAS INSIDER on Oral Roberts +8½
All plays are made using sophisticated machine learning models.
|
|
11-15-25 |
Pacific -6 v. CS-Fullerton |
Top |
85-73 |
Win
|
100 |
7 h 26 m |
Show
|
5* NO BRAINER on Pacific -6
All plays are made using sophisticated machine learning models.
|
|
11-15-25 |
North Dakota +4.5 v. Cal-Riverside |
|
76-74 |
Win
|
100 |
7 h 26 m |
Show
|
3* HEAVY HITTER on North Dakota +4½
All plays are made using sophisticated machine learning models.
|
|
11-15-25 |
Texas-San Antonio +3.5 v. Denver |
|
84-79 |
Win
|
100 |
4 h 26 m |
Show
|
3* HEAVY HITTER on Texas-San Antonio +3½
All plays are made using sophisticated machine learning models.
|
|
11-14-25 |
Hampton v. Brown -1 |
|
72-63 |
Loss |
-110 |
11 h 32 m |
Show
|
3* HEAVY HITTER on Brown -1
All plays are made using sophisticated machine learning models.
|
|
11-14-25 |
Xavier v. Iowa -15.5 |
|
62-81 |
Win
|
100 |
10 h 27 m |
Show
|
4* VEGAS INSIDER on Iowa -15½
All plays are made using sophisticated machine learning models.
|
|
11-14-25 |
IU Indianapolis +6.5 v. Eastern Michigan |
Top |
90-83 |
Win
|
100 |
9 h 57 m |
Show
|
5* NO BRAINER on IU Indianapolis +6½
All plays are made using sophisticated machine learning models.
|
|
11-13-25 |
California v. Kansas State -5.5 |
|
96-99 |
Loss |
-115 |
11 h 29 m |
Show
|
4* VEGAS INSIDER on Kansas State -5½
All plays are made using sophisticated machine learning models.
|