Tennis: WTA, Beijing, hard · Sunday, 4 October, MSK

Snigur D. — Preston T.

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Model prediction and result

2:0Came true
Snigur D.55%
Preston T.45%
Model estimate at MSK, the last one before kick-off

In short

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

Snigur D. are slightly stronger: 55% against 45%.

Over 23.5 games — 51%.

Why

  • Rating on hard: Snigur D. 1658, Preston T. 1623.

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
  • Snigur D. games
  • Preston T. games
  • Score in sets
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Form

Snigur D.

  • 02.10Paolini J.2:1
  • 30.09Kawa K.2:1

Preston T.

  • 02.10Parry D.2:0
  • 30.09Korpatsch T.2:0
  • 26.09Korneeva A.0:2
  • 24.09Ostapenko J.2:0
  • 22.09Sakatsume H.2:1

Head to head

No previous meetings in the data.

Next matches

  • Snigur D.Andreeva M.6 October · WTA · Beijing
    2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.20.5
  • Preston T.Krueger A.10 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

  • 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 2:0. Model's score: 0:2.18.5
  • 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 0:2. Model's score: 0:2, exactly right.18.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.20.5
  • 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: 2:0.20.5

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 →