Tennis Predictor
TENNIS Predictor
| Date | Team 1 | Team 2 | Score Prediction | Confidence | Betting predictions Team 1 Win | Betting predictions Team 2 Win | Final Score |
26th Jan 2026, 01:00 ET | Laskutova Ksenia 1.220 | Ogescu Simona 4.000 | 2:0 (6:1, 6:3) | ![]() 66.81% | 68.3% | 31.7% | |
26th Jan 2026, 04:00 ET | Belkovics Achilles 1.830 | Pivnik Oliver 1.830 | 2:0 (6:2, 6:4, 6:4) | ![]() 63% | 69.5% | 30.5% | |
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 |
26th Jan 2026, 04:00 ET | Belkovics Achilles 1.830 | Pivnik Oliver 1.830 | 0.33 | Belkovics Achilles ML | 2:1 |

