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Tennis: WTA, Guangzhou, hard · Friday, 30 October, (UTC+3)

Badosa P. — Dart H.

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Model prediction and result

1:2Missed
Badosa P.76%
Dart H.24%
Model estimate at (UTC+3), the last one before kick-off

In short

Final score 1:2: the model's most likely outcome, Badosa P. to win (76%), did not happen. That happens: an outcome at 76% fails in about 24 matches out of 100 on average.

Badosa P. are clear favourites: 76% against 24% for the opponent.

Over 19.5 games — 52%.

Why

  • Rating on hard: Badosa P. 1736, Dart H. 1500.

Facts

  • Dart H.: 4 wins in a row.

Probabilities

Games over 19.552%
Games under 19.548%

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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
  • Badosa P. games
  • Dart H. games
  • Score in sets
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Form

Badosa P.

  • 28.10Kraus S.2:0
  • 26.10Lee C. Y.2:0
  • 20.10Ruzic A.1:2
  • 03.10Ostapenko J.0:2
  • 01.10Kasatkina D.2:1

Dart H.

  • 28.10Tjen J.2:1
  • 26.10Prozorova T.2:1
  • 25.10Yamaguchi M.2:0
  • 24.10Cheuk S. Y.2:1
  • 19.10Gibson T.0:2

Head to head

No previous meetings in the data.

Next matches

  • Sun X.Dart H.31 October · WTA · Guangzhou
    2The most likely outcome came true: 2Final score 1:2. Model's score: 0:2.21.5
  • Pridankina E.Badosa P.3 November · WTA · Hong Kong
    2The most likely outcome did not happen: 2Final score 1:0. Model's score: 0:2.18.5

WTA on the same day

  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.22.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.21.5
  • 1The model's most likely outcome: 1Model's score: 2:017.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.21.5
  • 2The most likely outcome came true: 2Final score 1:2. Model's score: 0:2.21.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.22.5
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.19.5

This is the model’s statistical estimate, not a recommendation. An outcome at 76% will not happen in roughly 24 matches out of 100. How to read probabilities →