College Basketball Predictor: NCAAB Lines and Spreads
NCAAB Predictor
| Date | Team 1 | Team 2 | Score Prediction | Confidence | Betting predictions Team 1 Win | Betting predictions Team 2 Win | Final Score | |||
11th Dec 2025, 18:30 ET | Green Bay 1.910 | IU Indy 1.910 | 80:52 | ![]() 53.1% | 78% | 22% | 85:75 | |||
11th Dec 2025, 19:00 ET | Appalachian St. 2.429 | East Carolina 1.510 | 64:89 | ![]() 55% | 25% | 75% | 67:54 | |||
11th Dec 2025, 19:00 ET | Western Carolina | Virginia Tech | Unlock | Unlock Prediction | ||||||
11th Dec 2025, 19:30 ET | Texas-Arlington 2.429 | Texas Rio Grande Valley 1.510 | 74:67 | ![]() 65.8% | 57% | 43% | 58:50 | |||
11th Dec 2025, 20:00 ET | Alabama St. | Missouri | 61:99 | ![]() 92.2% | 12% | 88% | 77:85 | |||
11th Dec 2025, 20:00 ET | Iowa | Iowa St. | Unlock | Unlock Prediction | ||||||
11th Dec 2025, 20:00 ET | St. John's | St. Thomas (MN) | 73:69 | ![]() 63.4% | 54% | 46% | 56:80 | |||
11th Dec 2025, 21:00 ET | Saint Joseph's 5.100 | Syracuse 1.130 | 61:90 | ![]() 79.3% | 21% | 79% | 63:71 | |||
11th Dec 2025, 21:30 ET | North Dakota State | Cal. State - Bakersfield | Unlock | Unlock Prediction | ||||||
Value bets for today based on Scores Predictor:
| Date | Team 1 | Team 2 | Score Prediction | Total | Bookmaker Total | Final Score | Value Bet |
11th Dec 2025, 19:00 ET | Appalachian St. 2.429 | East Carolina 1.510 | 64:89 | 153 | 131.50 | 67:54 | Bet over 131.50 |
11th Dec 2025, 19:30 ET | Texas-Arlington 2.429 | Texas Rio Grande Valley 1.510 | 74:67 | 141 | 146.50 | 58:50 | Bet under 146.50 |
11th Dec 2025, 20:00 ET | Alabama St. | Missouri | 61:99 | 160 | 157.50 | 77:85 | Bet over 157.50 |
11th Dec 2025, 21:00 ET | Saint Joseph's 5.100 | Syracuse 1.130 | 61:90 | 151 | 146.50 | 63:71 | Bet over 146.50 |
Value bets for today based on Scores Predictor and Kelly Criterion:
The Kelly Criterion is a bet-sizing technique which balances both risk and reward for the advantage gambler. It determines the optimal % of your total capital (ie bankroll) that you can bet on a single outcome or game. Here is the formula for the Kelly Criterion copied from Wikipedia:

Where:
- f* is the fraction of the current bankroll to wager;
- b is the net odds received on the wager (“b to 1”); that is, you could win $b (plus the $1 wagered) for a $1 bet
- p is the probability of winning;
- q is the probability of losing, which is 1 − p.
As an example, if a gamble has a 60% chance of winning (p = 0.60, q = 0.40), and the gambler receives 1-to-1 odds on a winning bet (b = 1), then the gambler should bet 20% of his bankroll at each opportunity (f* = 0.20), in order to maximize the long-run growth rate of the bankroll.
If the gambler has zero edge, i.e. if b = q / p, then the criterion recommends the gambler bets nothing.
If the edge is negative (b < q / p) the formula gives a negative result, indicating that the gambler should take the other side of the bet.
| Date | Team 1 | Team 2 | Optimal Stake Part | Bet On | Final Score |
11th Dec 2025, 18:30 ET | Green Bay 1.910 | IU Indy 1.910 | 0.54 | Green Bay ML | 85:75 |
11th Dec 2025, 19:00 ET | Appalachian St. 2.429 | East Carolina 1.510 | 0.26 | East Carolina ML | 67:54 |
11th Dec 2025, 19:30 ET | Texas-Arlington 2.429 | Texas Rio Grande Valley 1.510 | 0.27 | Texas-Arlington ML | 58:50 |





