Tennis: WTA, Wuhan, hard · Tuesday, 13 October, MSK

Snigur D. — Mertens E.

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Model prediction and result

2:0Missed
Snigur D.43%
Mertens E.57%
Model estimate at MSK, the last one before kick-off

In short

Final score 2:0: the model's most likely outcome, Mertens E. to win (57%), did not happen. That happens: an outcome at 57% fails in about 43 matches out of 100 on average.

Mertens E. are slightly stronger: 57% against 43%.

Over 21.5 games — 53%.

Why

  • Rating on hard: Snigur D. 1664, Mertens E. 1739.

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
  • Snigur D. games
  • Mertens E. games
  • Score in sets
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Form

Snigur D.

  • 06.10Andreeva M.0:2
  • 04.10Preston T.2:0
  • 02.10Paolini J.2:1
  • 30.09Kawa K.2:1

Mertens E.

  • 10.10Zheng Q.0:2
  • 09.10Swiatek I.2:0
  • 07.10Gauff C.2:0
  • 05.10Ostapenko J.2:1
  • 03.10Volynets K.2:1

Head to head

No previous meetings in the data.

Next match

  • Tjen J.Snigur D.14 October · WTA · Wuhan
    2The model's most likely outcome: 2Model's score: 0:220.5

WTA on the same day

  • 2The most likely outcome came true: 2Final score 1:2. Model's score: 0:2.22.5
  • 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 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.19.5
  • 2The most likely outcome did not happen: 2Final score 2:1. Model's score: 0:2.18.5
  • 2The most likely outcome did not happen: 2Final score 2:1. Model's score: 0:2.22.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.19.5
  • 2The most likely outcome came true: 2Final score 1:2. Model's score: 0:2.20.5

This is the model’s statistical estimate, not a recommendation. An outcome at 57% will not happen in roughly 43 matches out of 100. How to read probabilities →