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Tennis: WTA, Guangzhou, hard · Tuesday, 27 October, (UTC+3)

Sorribes Tormo S. — Sonmez Z.

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Model prediction and result

1:2Came true
Sorribes Tormo S.38%
Sonmez Z.62%
Model estimate at (UTC+3), the last one before kick-off

In short

Final score 1:2: the model's most likely outcome, Sonmez Z. to win (62%), came true.

Sonmez Z. are clear favourites: 62% against 38% for the opponent.

Over 21.5 games — 51%.

Why

  • Rating on hard: Sorribes Tormo S. 1573, Sonmez Z. 1559.

Probabilities

Games over 21.551%
Games under 21.549%

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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
  • Sorribes Tormo S. games
  • Sonmez Z. games
  • Score in sets
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Form

Sorribes Tormo S.

  • 17.10Inglis M.0:2
  • 11.10Kasatkina D.1:2
  • 10.10Gibson T.2:0

Sonmez Z.

  • 22.10Li A.0:2
  • 20.10Joint M.2:1
  • 13.10Putintseva Y.1:2
  • 11.10Kraus S.2:0
  • 10.10Zakharova A.2:0

Head to head

No previous meetings in the data.

Next match

  • Teichmann J.Sonmez Z.29 October · WTA · Guangzhou
    2The most likely outcome did not happen: 2Final score 2:1. Model's score: 0:2.22.5

WTA on the same day

  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.19.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.21.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, 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 did not happen: 2Final score 2:1. Model's score: 0:2.21.5
  • 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: 0:2.20.5

This is the model’s statistical estimate, not a recommendation. An outcome at 62% will not happen in roughly 38 matches out of 100. How to read probabilities →