Tennis: WTA, Beijing, hard · Friday, 2 October, MSK

Muchova K. — Boulter K.

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Model prediction and result

2:0Came true
Muchova K.82%
Boulter K.18%
Model estimate at MSK, the last one before kick-off

In short

Final score 2:0: the model's most likely outcome, Muchova K. to win (82%), came true.

Muchova K. are clear favourites: 82% against 18% for the opponent.

Over 19.5 games — 51%.

Why

  • Rating on hard: Muchova K. 1892, Boulter K. 1627.

Probabilities

Games over 19.551%
Games under 19.549%

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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
  • Muchova K. games
  • Boulter K. games
  • Score in sets
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Form

Muchova K.

  • 27.09Kalinina A.2:0
  • 25.09Bouzas Maneiro J.2:0

Boulter K.

  • 30.09Hontama M.2:0
  • 22.09Noskova L.0:2

Head to head

No previous meetings in the data.

Next matches

  • Muchova K.Samsonova L.4 October · WTA · Beijing
    1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.20.5
  • Boulter K.Shnaider D.13 October · WTA · Wuhan
    2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.19.5

WTA on the same day

  • 1The most likely outcome did not happen: 1Final score 0:0. Model's score: 2:0.18.5
  • 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 2:1. Model's score: 0:2.23.5
  • 2The most likely outcome came true: 2Final score 1:2. Model's score: 0:2.21.5
  • 2The most likely outcome came true: 2Final score 1:2. Model's score: 0:2.19.5
  • 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 2:0. Model's score: 2:0, exactly right.21.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.23.5

This is the model’s statistical estimate, not a recommendation. An outcome at 82% will not happen in roughly 18 matches out of 100. How to read probabilities →