Tennis: WTA, Wuhan, qualifying, hard · Saturday, 10 October, MSK

Sawangkaew M. — Joint M.

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Model prediction and result

2:1Missed
Sawangkaew M.48%
Joint M.52%
Model estimate at MSK, the last one before kick-off

In short

Final score 2:1: the model's most likely outcome, Joint M. to win (52%), did not happen. That happens: an outcome at 52% fails in about 48 matches out of 100 on average.

Evenly matched: Sawangkaew M. 48%, Joint M. 52%.

Over 21.5 games — 53%.

Why

  • Rating on hard: Sawangkaew M. 1561, Joint M. 1567.

Probabilities

Games over 21.553%
Games under 21.547%

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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
  • Sawangkaew M. games
  • Joint M. games
  • Score in sets
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Form

Sawangkaew M.

  • 21.09Korneeva A.0:2

Joint M.

  • 30.09Kraus S.1:2
  • 27.09Birrell K.0:2
  • 26.09Korneeva A.1:0
  • 26.09Tararudee L.2:0
  • 23.09Back D.2:0

Head to head

No previous meetings in the data.

Next match

  • Bondar A.Sawangkaew M.11 October · WTA · Wuhan
    2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5

WTA on the same day

  • 1The most likely outcome came true: 1Final score 1:0. Model's score: 2:0.20.5
  • 1The most likely outcome did not happen: 1Final score 0:2. Model's score: 2:0.20.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.20.5
  • 2The most likely outcome did not happen: 2Final score 2:1. Model's score: 0:2.21.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5
  • 1The most likely outcome did not happen: 1Final score 0:1. Model's score: 2:0.21.5
  • 1The most likely outcome did not happen: 1Final score 1:2. 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

This is the model’s statistical estimate, not a recommendation. An outcome at 52% will not happen in roughly 48 matches out of 100. How to read probabilities →