Dart H. — Prozorova T.
☆ Save matchModel prediction and result
In short
Final score 2:1: the model's most likely outcome, Prozorova T. to win (54%), did not happen. That happens: an outcome at 54% fails in about 46 matches out of 100 on average.
Prozorova T. are slightly stronger: 54% against 46%.
Over 21.5 games — 53%.
Why
- Rating on hard: Dart H. 1495, Prozorova T. 1559.
Probabilities
| Games over 21.5 | 53% |
| Games under 21.5 | 47% |
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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
- Dart H. games
- Prozorova T. games
- Score in sets
Form
- 25.10Garland J.2:1
- 24.10Gorgodze E.2:1
- 18.10Rakhimova K.1:2
- 17.10Sherif M.2:1
- 25.09Wang Xin.2:1
Head to head
No previous meetings in the data.
Next matches
- Dart H.Tjen J.28 October · WTA · Guangzhou29712The most likely outcome did not happen: 22:1Final score 2:1. Model's score: 0:2.20.5
- Prozorova T.Kinoshita H.31 October · WTA · Hong Kong73271The most likely outcome came true: 12:0Final score 2:0. Model's score: 2:0, exactly right.20.5
WTA on the same day
- 58421The most likely outcome did not happen: 10:2Final score 0:2. Model's score: 2:0.21.5
- 47532The most likely outcome came true: 20:2Final score 0:2. Model's score: 0:2, exactly right.21.5
- 53471The most likely outcome came true: 12:0Final score 2:0. Model's score: 2:0, exactly right.22.5
- 46542The most likely outcome came true: 20:2Final score 0:2. Model's score: 0:2, exactly right.21.5
- 69311The most likely outcome did not happen: 10:2Final score 0:2. Model's score: 2:0.20.5
- 19812The most likely outcome came true: 20:2Final score 0:2. Model's score: 0:2, exactly right.19.5
- 54461The most likely outcome came true: 12:0Final score 2:0. Model's score: 2:0, exactly right.21.5
- 90101The most likely outcome came true: 12:0Final score 2:0. Model's score: 2:0, exactly right.17.5
This is the model’s statistical estimate, not a recommendation. An outcome at 54% will not happen in roughly 46 matches out of 100. How to read probabilities →