KHL Predictor
Date | Team 1 | Team 2 | Score Prediction | Confidence | Betting predictions Team 1 Win | Betting predictions Draw | Betting predictions Team 2 Win | Final Score | |||
9th Oct 2025, 10:00 EDT | Barys Nur-Sultan 6.570 | Tractor Chelyabinsk 1.405 | 1:3 (1:0, 0:2, 0:1) | ![]() 81.9% | 38% | 17.2% | 44.8% | 2:3 OT | |||
9th Oct 2025, 12:00 EDT | Amur Khabarovsk 3.580 | Niznekamsk 1.900 | 1:3 (1:1, 0:2, 0:0) | ![]() 37.8% | 34.7% | 23.8% | 41.5% | 4:1 | |||
9th Oct 2025, 12:00 EDT | Sochi | Cherepovets | Unlock | Unlock Prediction |
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 |
9th Oct 2025, 10:00 EDT | Barys Nur-Sultan 6.570 | Tractor Chelyabinsk 1.405 | 0.27 | Barys Nur-Sultan ML | 2:3 OT |