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

Tararudee L. — Osorio C.

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Model prediction and result

0:2Came true
Tararudee L.45%
Osorio C.55%
Model estimate at MSK, the last one before kick-off

In short

Final score 0:2: the model's most likely outcome, Osorio C. to win (55%), came true.

Osorio C. are slightly stronger: 55% against 45%.

Over 23.5 games — 51%.

Why

  • Rating on hard: Tararudee L. 1570, Osorio C. 1605.

Probabilities

Games over 23.551%
Games under 23.549%

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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
  • Tararudee L. games
  • Osorio C. games
  • Score in sets
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Form

Tararudee L.

  • 26.09Joint M.0:2
  • 23.09Park S.2:0
  • 21.09Uchijima M.2:1

Osorio C.

No past matches in the data yet.

Head to head

No previous meetings in the data.

Next matches

  • Gauff C.Osorio C.3 October · WTA · Beijing
    1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.18.5
  • Tararudee L.Liu C.10 October · WTA · Wuhan
    1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.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
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.22.5
  • 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

This is the model’s statistical estimate, not a recommendation. An outcome at 55% will not happen in roughly 45 matches out of 100. How to read probabilities →