Table Tennis Predictor

TAB_TENNIS Predictor

DateTeam 1Team 2Score PredictionConfidenceBetting predictions Team 1 WinBetting predictions Team 2 WinFinal Score
Masters. Poland. Women

12th Jan 2026,

07:10 ET

Renata Szulecka
1.880
Mariola Pietrzak
1.880
0:4
(10:12, 10:12, 9:11, 8:11)
51.33%
87.9%12.1%

12th Jan 2026,

07:30 ET

Renata Szulecka
2.404
Anna Lukasik
1.550
2:4
(11:7, 11:9, 9:11, 8:11, 10:12, 8:11)
78.17%
34.6%65.4%

12th Jan 2026,

07:50 ET

Weronika Pelc
Mariola Pietrzak
Unlock

12th Jan 2026,

08:10 ET

Mariola Pietrzak
2.507
Anna Lukasik
1.510
4:2
(12:10, 11:8, 8:11, 11:8, 8:11, 11:8)
44.33%
72.8%27.2%

Value bets for today based on Scores Predictor and Kelly Criterion:

What is 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.

DateTeam 1Team 2Optimal Stake PartBet OnFinal Score
Masters. Poland. Women

12th Jan 2026,

07:10 ET

Renata Szulecka
1.880
Mariola Pietrzak
1.880
0.74
Renata Szulecka ML
Masters. Poland. Women

12th Jan 2026,

08:10 ET

Mariola Pietrzak
2.507
Anna Lukasik
1.510
0.55
Mariola Pietrzak ML