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Tennis: WTA, Tokyo, qualifying, hard · Sunday, 25 October, (UTC+3)

Ishii S. — Putintseva Y.

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Model prediction and result

1:2Came true
Ishii S.29%
Putintseva Y.71%
Model estimate at (UTC+3), the last one before kick-off

In short

Final score 1:2: the model's most likely outcome, Putintseva Y. to win (71%), came true.

Putintseva Y. are clear favourites: 71% against 29% for the opponent.

Over 20.5 games — 50%.

Why

  • Rating on hard: Ishii S. 1555, Putintseva Y. 1614.

Probabilities

Games over 20.550%
Games under 20.550%

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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
  • Ishii S. games
  • Putintseva Y. games
  • Score in sets
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Form

Ishii S.

  • 24.10Okamura K.2:0
  • 18.10Stoiana M.0:2
  • 17.10Avanesyan E.1:0

Putintseva Y.

  • 24.10Kinoshita H.2:0
  • 20.10Shnaider D.0:2
  • 18.10Parks A.2:0
  • 17.10Qu Y.2:0
  • 14.10Shnaider D.0:2

Head to head

No previous meetings in the data.

Next match

  • Putintseva Y.Sakkari M.27 October · WTA · Tokyo
    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.22.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.22.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.21.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.22.5
  • 1The most likely outcome did not happen: 1Final score 0:2. Model's score: 2:0.21.5
  • 1The most likely outcome did not happen: 1Final score 0:2. Model's score: 2:0.22.5
  • 2The most likely outcome did not happen: 2Final score 2:1. Model's score: 0:2.21.5

This is the model’s statistical estimate, not a recommendation. An outcome at 71% will not happen in roughly 29 matches out of 100. How to read probabilities →