Hockey Predictor
HOCKEY Predictor
| Date | Team 1 | Team 2 | Score Prediction | Confidence | Betting predictions Team 1 Win | Betting predictions Draw | Betting predictions Team 2 Win | Final Score | |||
| USA AHL | |||||||||||
9th May 2025, 22:00 EDT | Coachella Valley Firebirds 2.470 | Abbotsford Canucks 2.330 | 1:3 (0:1, 1:1, 0:1) |  63.4% | 34.65% | 23.9% | 41.45% | 0:2 | |||
| USA USA AHL | |||||||||||
9th May 2025, 19:00 EDT | Providence Bruins 2.912 | Charlotte Checkers 2.060 | 4:1 (1:0, 2:0, 1:1) |  36.1% | 46.1% | 18% | 35.9% | 3:2 OT | |||
9th May 2025, 19:05 EDT | Hershey Bears | Lehigh Valley Phantoms | Unlock | Unlock Prediction | |||||||
9th May 2025, 20:00 EDT | Grand Rapids Griffins 3.235 | Texas Stars 1.880 | 1:3 (0:0, 1:2, 0:1) |  56% | 37.6% | 18% | 44.4% | 4:5 OT | |||
9th May 2025, 20:00 EDT | Milwaukee Admirals 2.040 | Rockford IceHogs 2.960 | 3:2 (1:0, 0:1, 2:1) | 35.3% | 40% | 23.4% | 36.6% | 3:2 | |||
Value bets for today based on Scores Predictor:
| Date | Team 1 | Team 2 | Score Prediction | Total | Bookmaker Total | Final Score | Value Bet |
USA USA AHL 9th May 2025, 19:00 EDT | Providence Bruins 2.912 | Charlotte Checkers 2.060 | 4:1 | 5 | 5.25 | 3:2 OT | Bet under 5.25 |
USA USA AHL 9th May 2025, 20:00 EDT | Grand Rapids Griffins 3.235 | Texas Stars 1.880 | 1:3 | 4 | 5.25 | 4:5 OT | Bet under 5.25 |
USA USA AHL 9th May 2025, 20:00 EDT | Milwaukee Admirals 2.040 | Rockford IceHogs 2.960 | 3:2 | 5 | 5.25 | 3:2 | Bet under 5.25 |
USA AHL 9th May 2025, 22:00 EDT | Coachella Valley Firebirds 2.470 | Abbotsford Canucks 2.330 | 1:3 | 4 | 5.25 | 0:2 | Bet under 5.25 |
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 |
USA USA AHL 9th May 2025, 19:00 EDT | Providence Bruins 2.912 | Charlotte Checkers 2.060 | 0.18 | Providence Bruins ML | 3:2 OT |
USA USA AHL 9th May 2025, 20:00 EDT | Grand Rapids Griffins 3.235 | Texas Stars 1.880 | 0.1 | Grand Rapids Griffins ML | 4:5 OT |