Free College Basketball Expert and Computer Picks For Every Game Nov. 7, 2026
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Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
68.61 |
+13.5 -102 
|
o148.5 -110 
|
+810 
|
|
80.35 |
-13.5 -110 
|
u149.5 -115 
|
-1000
|
Oakland
UC Santa Barbara
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
77.51 |
-1.5 +100 
|
o170.5 -110
|
-115
|
|
79.05 |
+1.5 -110
|
u171.5 -110
|
+110 
|
Tenn-Martin
IUPUI
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
68.10 |
+8.5 -108
|
o143.5 -110
|
+300 
|
|
74.65 |
-8.5 -110
|
u146.5 -120
|
-350
|
SIU Edwardsville
Lipscomb
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
78.00 |
-3.5 -110
|
o152.5 +100
|
-165 
|
|
72.43 |
+3.5 -105
|
u152.5 -110
|
+155
|
Western Carolina
UNC Asheville
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
72.47 |
+9.5 -115
|
o150.5 -104
|
+340
|
|
79.05 |
-9.5 -105
|
u151.0 -110
|
-420
|
Prairie View A&M
Texas R-G Valley
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
73.57 |
+3.5 -110
|
o148.0 -110
|
+140
|
|
75.35 |
-3.5 -105
|
u149.5 -115
|
-164
|
Morgan St.
Niagara
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
77.55 |
+2.5 -108
|
o158.5 -108
|
+125
|
|
80.27 |
-2.5 -105
|
u158.5 -109
|
-135
|
Providence
Nebraska
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
63.73 |
+19.5 -110
|
o147.5 -110
|
+2000
|
|
83.94 |
-19.5 -108
|
u148.5 -115
|
-3030
|
NIU
Dayton
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
72.32 |
-9.5 -102
|
o136.5 -109
|
-450
|
|
63.43 |
+9.5 -110
|
u136.5 -110
|
+375
|
HCU
Western Illinois
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
79.09 |
-8.5 -120
|
o148.5 -110
|
-425
|
|
66.42 |
+8.5 +100
|
u149.5 -115
|
+365
|
St. Bonaventure
Canisius
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
68.91 |
+11.5 -110
|
o146.5 -110
|
+550
|
|
79.77 |
-11.5 -105
|
u148.5 -115
|
-699
|
Mercer
Davidson
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
74.21 |
-3.5 -105
|
o145.0 -110
|
-158
|
|
70.10 |
+3.5 -110
|
u146.5 -110
|
+140
|
Maryland
Georgetown
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
75.24 |
+3.5 -145
|
o155.5 -110
|
+112
|
|
78.53 |
-3.5 +115
|
u156.5 -110
|
-125
|
Denver
UC Riverside
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
65.47 |
+24.0 -110
|
o155.0 -110
|
+3000
|
|
88.62 |
-24.0 -110
|
u155.5 -110
|
-8000
|
Northwestern St.
Murray St.
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
64.82 |
+22.5 -105
|
o155.0 -115
|
+3000
|
|
87.89 |
-22.5 -105
|
u155.5 -110
|
-5000
|
Bethune-Cookman
Grand Canyon
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
76.98 |
+7.5 -110
|
o143.0 -115
|
-310
|
|
66.25 |
-7.5 -110
|
u143.5 -105
|
+275
|
Evansville
Southern Indiana
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
70.13 |
+10.5 -115
|
o145.0 -110
|
+400
|
|
76.14 |
-10.5 +110
|
u147.5 -135
|
-475
|
SE Louisiana
Little Rock
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
71.12 |
+1.5 -118
|
o139.5 -110
|
-104
|
|
72.03 |
-1.5 +100
|
u140.5 -109
|
-110
|
Pacific
Bradley
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
82.08 |
-7.5 -108
|
o154.5 -115
|
-340
|
|
71.91 |
+7.5 -105
|
u156.5 -110
|
+280
|
Utah Valley
Weber St.
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
74.57 |
+19.5 -105
|
o170.0 -110
|
+2200
|
|
89.42 |
-19.5 -105
|
u170.5 -109
|
-3030
|
Sacramento State
Santa Clara
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
67.65 |
+10.5 -110
|
o143.5 -120
|
+475
|
|
76.32 |
-10.5 -109
|
u145.5 -110
|
-550
|
Portland St.
Seattle
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
70.25 |
+11.5 -115
|
o151.5 -110
|
+475
|
|
76.74 |
-11.5 -102
|
u151.5 -110
|
-599
|
Fresno St.
UC San Diego
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
69.73 |
+8.5 -108
|
o146.5 -109
|
+320
|
|
75.61 |
-8.5 -110
|
u146.5 -110
|
-385
|
San Jose St.
UC Irvine
PROV
@
NEB
Sat, Nov 7 • 7:00 PM ET
u157.5 (-110)
Points might be hard to come by for either squad, so I'm on the Under. Nebraska allowed only 66.1 ppg a year ago, and a finish within the top 15 in defensive efficiency this season is a realistic goal. Bryan Hodgson's South Florida squad held teams to 41.6% from the field a season ago.
Click odds to add to your betslip
MD
@
GTWN
Sat, Nov 7 • 7:30 PM ET
o146.5 (-104)
Taking an Over with these two can be dangerous but I like the paths. I'm on it to 54%. Lowe can create off the dribble, while Iwuchukwu gives him a target inside who scored efficiently in the opener. That pairing should make Maryland defend more than one action on a possession. At the other end, Georgetown allowed Loyola Maryland 12 offensive boards, a concern against Payne and Mills
MD (-144)
The Maryland Terrapins have the better route to extra possessions and I'll back them to 62%. Pharrel Payne is back after missing most of last season, and Andre Mills gives Buzz Williams another physical rebounder who can score without having a play drawn for him.
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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