College Basketball Predictor: NCAAB Lines and Spreads

NCAAB Predictor

DateTeam 1Team 2Score PredictionConfidenceBetting predictions Team 1 WinBetting predictions Team 2 WinFinal 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
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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.
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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
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Value bets for today based on Scores Predictor:

DateTeam 1Team 2Score PredictionTotalBookmaker TotalFinal ScoreValue Bet

11th Dec 2025,

19:00 ET

Appalachian St.
2.429
East Carolina
1.510
64:89
153131.50
67:54
Bet over 131.50

11th Dec 2025,

19:30 ET

Texas-Arlington
2.429
Texas Rio Grande Valley
1.510
74:67
141146.50
58:50
Bet under 146.50

11th Dec 2025,

20:00 ET

Alabama St.
Missouri
61:99
160157.50
77:85
Bet over 157.50

11th Dec 2025,

21:00 ET

Saint Joseph's
5.100
Syracuse
1.130
61:90
151146.50
63:71
Bet over 146.50

Value bets for today based on Scores Predictor and Kelly Criterion:

What is 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.

DateTeam 1Team 2Optimal Stake PartBet OnFinal 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