Putintseva Y. — Sakkari M.
☆ Save matchModel prediction and result
In short
Final score 2:1: the model's most likely outcome, Sakkari M. to win (64%), did not happen. That happens: an outcome at 64% fails in about 36 matches out of 100 on average.
Sakkari M. are clear favourites: 64% against 36% for the opponent.
Over 21.5 games — 50%.
Why
- Rating on hard: Putintseva Y. 1620, Sakkari M. 1687.
Probabilities
| Games over 21.5 | 50% |
| Games under 21.5 | 50% |
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All totals and handicaps, team totals, the score grid, every factor and how the estimate moved before kick-off.
- Games handicap
- Sets handicap
- First set
- Putintseva Y. games
- Sakkari M. games
- Score in sets
Form
- 16.10Chwalinska M.1:2
- 15.10Pohankova M.2:0
- 13.10Kostyuk M.2:1
- 12.10Vekic D.2:0
- 05.10Svitolina E.0:2
Head to head
No previous meetings in the data.
Next matches
- Rybakina E.Putintseva Y.29 October · WTA · Tokyo89111The most likely outcome came true: 12:0Final score 2:0. Model's score: 2:0, exactly right.17.5
- Lee C. Y.Sakkari M.2 November · WTA · Hong Kong21792The most likely outcome came true: 20:2Final score 0:2. Model's score: 0:2, exactly right.19.5
WTA on the same day
- 23772The most likely outcome did not happen: 22:0Final score 2:0. Model's score: 0:2.19.5
- 46542The most likely outcome came true: 20:2Final score 0:2. Model's score: 0:2, exactly right.21.5
- 61391The most likely outcome came true: 12:1Final score 2:1. Model's score: 2:0.21.5
- 45552The most likely outcome came true: 20:2Final score 0:2. Model's score: 0:2, exactly right.21.5
- 49512The most likely outcome came true: 20:2Final score 0:2. Model's score: 0:2, exactly right.22.5
- 51491The most likely outcome did not happen: 10:2Final score 0:2. Model's score: 2:0.22.5
- 38622The most likely outcome came true: 21:2Final score 1:2. Model's score: 0:2.21.5
- 30702The most likely outcome did not happen: 22:1Final score 2:1. Model's score: 0:2.20.5
This is the model’s statistical estimate, not a recommendation. An outcome at 64% will not happen in roughly 36 matches out of 100. How to read probabilities →