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Tennis: WTA, Hong Kong, qualifying, hard · Saturday, 31 October, (UTC+3)

Sakatsume H. — Wong Hong Yi C.

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Model prediction and result

2:0Came true
Sakatsume H.89%
Wong Hong Yi C.11%
Model estimate at (UTC+3), the last one before kick-off

In short

Final score 2:0: the model's most likely outcome, Sakatsume H. to win (89%), came true.

Sakatsume H. are clear favourites: 89% against 11% for the opponent.

Over 17.5 games — 51%.

Why

  • Rating on hard: Sakatsume H. 1449, Wong Hong Yi C. 1461.

Facts

  • Sakatsume H.: 3 defeats in a row.

Probabilities

Games over 17.551%
Games under 17.549%

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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
  • Sakatsume H. games
  • Wong Hong Yi C. games
  • Score in sets
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Form

Sakatsume H.

  • 27.10Fernandez L.0:2
  • 20.10Boulter K.0:2
  • 22.09Preston T.1:2

Wong Hong Yi C.

  • 24.10Jones E.1:2

Head to head

No previous meetings in the data.

Next match

  • Sakatsume H.Pridankina E.1 November · WTA · Hong Kong
    1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.21.5

WTA on the same day

  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.20.5
  • 2The most likely outcome did not happen: 2Final score 2:1. Model's score: 0:2.21.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.22.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.21.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.18.5
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.22.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.20.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.20.5

This is the model’s statistical estimate, not a recommendation. An outcome at 89% will not happen in roughly 11 matches out of 100. How to read probabilities →