Table Tennis Predictor
TAB_TENNIS Predictor
| Date | Team 1 | Team 2 | Score Prediction | Confidence | Betting predictions Team 1 Win | Betting predictions Team 2 Win | Final Score |
| International Tournament. Montpellier | |||||||
29th Oct 2025, 08:35 EDT | Dang Qiu 1.833 | Benedikt Duda 1.833 | 4:1 (11:8, 10:12, 11:9, 11:9, 11:8) | ![]() 72.83% | 75.9% | 24.1% | |
29th Oct 2025, 09:45 EDT | Sora Matsushima 1.280 | Anders Lind 3.400 | 4:0 (11:9, 12:10, 12:10, 11:8) | ![]() 63.75% | 76.6% | 23.4% | |
29th Oct 2025, 10:55 EDT | Peng Xiang | Patrick Franziska | Unlock | ||||
29th Oct 2025, 13:30 EDT | Simon Gauzy 1.553 | Lilian Bardet 2.356 | 4:1 (11:9, 7:11, 11:9, 11:8, 11:9) | ![]() 52% | 78.8% | 21.2% | |
29th Oct 2025, 14:40 EDT | Kanak Jha 3.960 | Hugo Calderano 1.232 | 0:4 (8:11, 10:12, 10:12, 9:11) | ![]() 68.53% | 78.3% | 21.7% | |
29th Oct 2025, 15:50 EDT | Alexis Lebrun | Quadri Aruna | Unlock | ||||
| International Tournament. Montpellier. Women | |||||||
29th Oct 2025, 08:00 EDT | Man Kuai 1.177 | Nayeong Kim 4.470 | 4:0 (11:9, 11:9, 11:9, 11:7) | ![]() 63.52% | 83.3% | 16.7% | |
29th Oct 2025, 10:00 EDT | Yidi Wang 1.220 | Hina Hayata 3.910 | 1:4 (12:10, 9:11, 9:11, 9:11, 9:11) | ![]() 83.35% | 38% | 62% | |
29th Oct 2025, 10:20 EDT | Minhyung Jee | Cheonhui Joo | Unlock | ||||
29th Oct 2025, 11:30 EDT | Prithika Pavade 1.410 | Charlotte Lutz 2.754 | 4:2 (11:8, 7:11, 11:9, 11:9, 9:11, 11:7) | ![]() 85.79% | 72.9% | 27.1% | |
29th Oct 2025, 15:05 EDT | Yi Chen 1.125 | Lily Zhang 5.500 | 4:1 (11:7, 11:9, 11:7, 8:11, 11:7) | ![]() 70.24% | 80% | 20% | |
29th Oct 2025, 15:15 EDT | Hoi Kem Doo | Hana Goda | Unlock | ||||
29th Oct 2025, 16:25 EDT | Jian Zeng 4.275 | Satsuki Odo 1.210 | 0:4 (7:11, 9:11, 7:11, 8:11) | ![]() 77.25% | 86.5% | 13.5% | |
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 |
International Tournament. Montpellier 29th Oct 2025, 08:35 EDT | Dang Qiu 1.833 | Benedikt Duda 1.833 | 0.47 | Dang Qiu ML | |
International Tournament. Montpellier. Women 29th Oct 2025, 10:00 EDT | Yidi Wang 1.220 | Hina Hayata 3.910 | 0.49 | Hina Hayata ML | |
International Tournament. Montpellier 29th Oct 2025, 13:30 EDT | Simon Gauzy 1.553 | Lilian Bardet 2.356 | 0.4 | Simon Gauzy ML | |
International Tournament. Montpellier 29th Oct 2025, 14:40 EDT | Kanak Jha 3.960 | Hugo Calderano 1.232 | 0.71 | Kanak Jha ML | |
International Tournament. Montpellier. Women 29th Oct 2025, 16:25 EDT | Jian Zeng 4.275 | Satsuki Odo 1.210 | 0.82 | Jian Zeng ML |






