Tennis Predictor
TENNIS Predictor
| Date | Team 1 | Team 2 | Score Prediction | Confidence | Betting predictions Team 1 Win | Betting predictions Team 2 Win | Final Score |
10th Nov 2025, 04:00 ET | Nikola Breckova 6.000 | Oliwia Szymczuch 1.110 | 0:2 (5:7, 5:7, 6:7) | ![]() 40.38% | 38.4% | 61.6% | |
| Italy | |||||||
10th Nov 2025, 05:30 ET | Salisbury J / Skupski N 2.000 | Arevalo M / Pavic M 1.730 | 0:2 (4:6, 3:6) | ![]() 52.32% | 30.4% | 69.6% | |
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 |
10th Nov 2025, 04:00 ET | Nikola Breckova 6.000 | Oliwia Szymczuch 1.110 | 0.26 | Nikola Breckova ML | 0:2 |
Italy 10th Nov 2025, 05:30 ET | Salisbury J / Skupski N 2.000 | Arevalo M / Pavic M 1.730 | 0.28 | Arevalo M / Pavic M ML |

