Free College Basketball Expert and Computer Picks For Every Game Nov. 15, 2026
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Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
72.66 |
-3.5 -110 
|
o135.5 -110 
|
-165
|
|
70.39 |
+3.5 -108 
|
u136.5 -115 
|
+145
|
Quinnipiac
Central CT
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
70.12 |
+12.5 -115 
|
o142.5 -120 
|
+550
|
|
79.24 |
-12.5 -105 
|
u144.5 -115
|
-750
|
Norfolk State
Georgia St.
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
75.03 |
+3.5 -102 
|
o151.0 -110 
|
+152
|
|
80.64 |
-3.5 -105
|
u151.5 -110
|
-170
|
CSU Bakersfield
ND State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
76.23 |
+2.5 -105
|
o152.5 -110
|
+130
|
|
75.89 |
-2.5 -105
|
u153.5 -105
|
-140
|
Missouri
Marquette
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
83.01 |
-3.5 -109
|
o159.0 -110
|
-165
|
|
77.51 |
+3.5 -110
|
u159.5 -105
|
+141
|
Texas
Baylor
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
79.71 |
+7.5 -105
|
o164.5 -115
|
+278
|
|
85.21 |
-7.5 -105
|
u165.5 -110
|
-300
|
High Point
Saint Louis
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
71.29 |
+4.5 -115
|
o145.5 -115
|
+165
|
|
75.60 |
-4.5 -105
|
u146.5 -110
|
-175
|
Creighton
Iowa
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
74.01 |
-3.5 -102
|
o143.5 -115
|
-154
|
|
71.41 |
+3.5 -110
|
u144.5 -105
|
+140
|
Fort Wayne
Eastern Illinois
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
71.82 |
+2.5 -105
|
o142.5 -110
|
+132
|
|
76.72 |
-2.5 -110
|
u143.5 -110
|
-145
|
Cleveland St.
Alabama A&M
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
63.88 |
+12.5 -115
|
o137.5 -110
|
+650
|
|
76.95 |
-12.5 +100
|
u138.5 -110
|
-850
|
Mercyhurst
James Madison
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
64.06 |
+17.0 -115
|
o144.5 -105
|
+1050
|
|
80.62 |
-17.0 -105
|
u144.5 -110
|
-1800
|
Idaho State
Seattle
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
64.13 |
+18.5 -110
|
o139.5 -110
|
+1500
|
|
79.25 |
-18.5 -105
|
u140.5 -109
|
-2381
|
Chicago St.
Loyola Marymount
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
65.74 |
+12.5 -110
|
o143.5 -110
|
+700
|
|
77.16 |
-12.5 +100
|
u144.5 -115
|
-850
|
New Mexico St.
San Diego St.
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
59.73 |
+24.5 -110
|
o142.5 -110
|
+3500
|
|
83.22 |
-24.5 -105
|
u142.5 -105
|
-8000
|
New Haven
Penn St.
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
72.94 |
-6.5 -110
|
o139.5 -110
|
-285
|
|
66.62 |
+6.5 -105
|
u140.5 -110
|
+260
|
Western Michigan
Southern Indiana
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
67.48 |
+13.5 -105
|
o150.5 -112
|
+800
|
|
81.78 |
-13.5 -103
|
u151.5 -117
|
-1000
|
Canisius
Buffalo
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
79.40 |
+7.5 -110
|
o164.5 -110
|
+260
|
|
86.53 |
-7.5 -110
|
u165.5 -115
|
-280
|
Cal Poly SLO
Montana St.
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
57.42 |
+46.5 -110
|
o157.5 -110
|
+40000
|
|
100.05 |
-46.5 -105
|
u158.5 -115
|
-100000
|
AR-Pine Bluff
USC
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
67.68 |
+12.5 -115
|
o149.5 -112
|
+600
|
|
82.39 |
-12.5 -102
|
u150.5 -110
|
-820
|
Syracuse
St. John's
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
60.74 |
+28.5 -114
|
o147.5 -114
|
+6000
|
|
87.74 |
-28.5 -106
|
u148.5 -110
|
-20000
|
Coastal Carolina
Wisconsin
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
77.59 |
-2.5 -124
|
o147.5 -110
|
-160
|
|
72.01 |
+2.5 +100
|
u148.5 -110
|
+140
|
Texas State
UTSA
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
70.67 |
+13.5 -110
|
o149.5 -110
|
+700
|
|
82.83 |
-13.5 -105
|
u151.5 -115
|
-1000
|
Alabama St.
San Jose St.
TEX
@
BAY
Sun, Nov 15 • 3:00 PM ET
o159.5 (-114)
Texas' inflated statistics deserve some skepticism given its early-season competition, but Baylor has the pace and offensive ability to make this a track meet. The Bears rank No. 1 nationally in close two-point percentage and can generate extra possessions through turnovers and offensive rebounds. If Texas can't contain Vokietaitis down low, Baylor could find plenty of scoring opportunities.
BAY +4.5 (-119)
Baylor has the chemistry, experience and a more competitive strength of schedule than Texas. The Mingo brothers are leading the way offensively, while Isaac Williams IV provides another reliable option. Texas remains heavily dependent on Matas Vokietaitis, and if the Bears can limit the 7-footer, they have a legitimate shot to cover and potentially win outright.
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SYR
@
SJU
Sun, Nov 15 • 7:00 PM ET
o150.5 (-108)
The Johnnies should have the opportunity to dictate the pace against a much slower in-state rival. Syracuse has struggled to force turnovers and defend the interior, two areas Rick Pitino's Red Storm can exploit. St. John's is also shooting nearly 40% from deep without relying heavily on the 3-point shot. I like the Over 150.5, playable up to 155.5.
SJU -12.5 (-119)
Rick Pitino has the Red Storm cooking early, with Ian Jackson thriving in his move to shooting guard and Quinn Ellis making an immediate impact after arriving from the EuroLeague. St. John's has the talent, depth and early production to give Syracuse problems. I like the Red Storm to take care of business and cover at the Garden.
Our experts and prediction models are hard at work analyzing the data. Check back shortly for today's picks, or explore our Computer Picks for inspiration.
Our computer picks table uses a variety of variables such as a team's recent play, home/away splits, injuries and the betting odds for each game for its predictions. The table displays how our computer picks have fared over the past 100 games of the college basketball season. Our computer's algorithm picks the moneyline, spread, and total winner for each NCAAB game.
Before making your NCAAB picks, refer to our college basketball computer picks to see a predicted score for each NCAAB matchup. You can also gauge whether our computer picks heavily favor a side or total in the game. Our college basketball computer picks can even provide value when you're targeting an underdog. Further research can be done using our college basketball betting trends.
If you like a heavy favorite, but our computer picks believe it will be a close game, you may want to do some further research before placing your college basketball bets. You could check out what other bettors are thinking on our college basketball consensus picks page.
As you can see above, as things stand, the table has been unprofitable on both moneyline and spread betting in the last 100 college basketball games. However, our computer picks have been extremely profitable when predicting totals of late, as $100 bettors would be up $599 when betting on our last 100 totals picks.
Betting on the college basketball moneyline is simple. You're choosing which team you believe will win the contest. The NCAAB moneyline is a bet that includes the odds to win each contest. The favorite will be denoted by a (-), while the underdog will be labeled with a (+) symbol.
You may see a college basketball betting line displayed like this:
| Team | Moneyline Odds |
|---|---|
| Duke | -110 |
| North Carolina | +120 |
In this instance, you'd have to bet $110 on Duke to win $100, while a bet on North Carolina would pay out $120 plus your original $100 wager should the Tar Heels win the game.
A college basketball point spread is a wager on the margin of victory. A spread is the sportsbook's attempt to level the playing field of uneven matchups.
The favorite in every contest will be marked with a (-) along with the number of points they need to win by, in order to cash your bet. The underdog will be labeled with a (+) sign and the number of points they need to avoid losing by.
A college basketball spread could look something like this:
| Team | Spread |
|---|---|
| Duke | -3 (-110) |
| North Carolina | +3 (+120) |
Here, the Duke Blue Devils would need to win by more than three points to cash your college basketball bet against the spread. While the North Carolina Tar Heels simply need to win, or lose by fewer than three points to cover the spread. The number in parentheses denotes the amount you have to wager to make $100.
A total bet, sometimes called the Over/Under, is the total amount of points sportsbooks believe both teams will combine for in the game. Since college basketball games are shorter, and teams don't employ players like Steph Curry, you'll notice college basketball totals are often far shorter than NBA odds.
A college basketball total may look like this:
| Team | Total |
|---|---|
| Duke | OVER 142 (-110) |
| North Carolina | UNDER 142 (-110) |
In this rivalry game Duke and North Carolina would have to combine for more than 142 points for the Over to hit.
You'd need to bet $110 on the Over to receive a payout of $100. Conversely, if the game ends with a score lower than 142 total points, your bet loses. That same $110 bet would pay out $100. Our Odds Calculator can give you a better idea of how much you'd win based on the amount wagered.
If you're ready to bet on college basketball picks, you first need to find the right sportsbook. The best betting sites offer secure banking, best odds, bonuses, and reliable customer service.
More than a dozen Covers college basketball picks are released throughout the week during the season, covering all the biggest games and matchups.
Covers provides free NCAA basketball picks covering many markets, including point spreads, totals, moneylines, player props, and more.
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