Tennis: WTA, Beijing, hard · Thursday, 1 October, MSK

Badosa P. — Kasatkina D.

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Model prediction and result

2:1Came true
Badosa P.67%
Kasatkina D.33%
Model estimate at MSK, the last one before kick-off

In short

Final score 2:1: the model's most likely outcome, Badosa P. to win (67%), came true.

Badosa P. are clear favourites: 67% against 33% for the opponent.

Over 22.5 games — 50%.

Why

  • Rating on hard: Badosa P. 1748, Kasatkina D. 1624.

Probabilities

Games over 22.550%
Games under 22.550%

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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
  • Badosa P. games
  • Kasatkina D. games
  • Score in sets
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Form

Badosa P.

No past matches in the data yet.

Kasatkina D.

  • 21.09Sasnovich A.0:2

Head to head

No previous meetings in the data.

Next matches

  • Ostapenko J.Badosa P.3 October · WTA · Beijing
    2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.23.5
  • Kasatkina D.Golubic V.10 October · WTA · Wuhan
    2The most likely outcome did not happen: 2Final score 2:1. Model's score: 0:2.21.5

WTA on the same day

  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.23.5
  • 1The most likely outcome did not happen: 1Final score 1:2. Model's score: 2:0.23.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.23.5
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.18.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.21.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.22.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.23.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5

This is the model’s statistical estimate, not a recommendation. An outcome at 67% will not happen in roughly 33 matches out of 100. How to read probabilities →