Khachanov K. — Alcaraz C.
☆ Save matchModel prediction and result
In short
Final score 0:2: the model's most likely outcome, Alcaraz C. to win (84%), came true.
Alcaraz C. are clear favourites: 84% against 16% for the opponent.
Over 20.5 games — 52%.
Why
- Rating on hard: Khachanov K. 1685, Alcaraz C. 2016.
Probabilities
| Games over 20.5 | 52% |
| Games under 20.5 | 48% |
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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
- Khachanov K. games
- Alcaraz C. games
- Score in sets
Form
- 23.10Bublik A.1:2
- 22.10Machac T.2:1
- 20.10Sakamoto R.2:0
- 13.10De Minaur A.0:2
- 11.10Mannarino A.2:0
- 12.10Bergs Z.0:2
- 10.10Cerundolo J. M.2:0
- 06.10Lehecka J.2:0
- 05.10Munar J.2:1
- 04.10Shapovalov D.1:0
Head to head
No previous meetings in the data.
Next matches
- Basilashvili N.Alcaraz C.29 October · ATP · Vienna8922The most likely outcome came true: 20:2Final score 0:2. Model's score: 0:2, exactly right.19.5
- Shapovalov D.Khachanov K.2 November · ATP · Paris48522The most likely outcome came true: 21:1Final score 1:1. Model's score: 0:2.23.5
ATP on the same day
- 58421The most likely outcome came true: 12:1Final score 2:1. Model's score: 2:0.24.5
- 56441The most likely outcome came true: 12:0Final score 2:0. Model's score: 2:0, exactly right.22.5
- 30702The most likely outcome came true: 20:2Final score 0:2. Model's score: 0:2, exactly right.21.5
- 37632The most likely outcome did not happen: 22:0Final score 2:0. Model's score: 1:2.26.5
- 47532The most likely outcome did not happen: 22:1Final score 2:1. Model's score: 0:2.22.5
- 12882The most likely outcome came true: 20:2Final score 0:2. Model's score: 0:2, exactly right.20.5
- 57431The most likely outcome came true: 12:1Final score 2:1. Model's score: 2:0.22.5
- 88121The most likely outcome came true: 12:1Final score 2:1. Model's score: 2:0.20.5
This is the model’s statistical estimate, not a recommendation. An outcome at 84% will not happen in roughly 16 matches out of 100. How to read probabilities →