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Tennis: WTA, Hong Kong, hard · Tuesday, 3 November, (UTC+3)

Jones E. — Eala A.

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Model prediction and result

0:2Came true
Jones E.16%
Eala A.84%
Model estimate at (UTC+3), the last one before kick-off

In short

Final score 0:2: the model's most likely outcome, Eala A. to win (84%), came true.

Eala A. are clear favourites: 84% against 16% for the opponent.

Over 18.5 games — 50%.

Why

  • Rating on hard: Jones E. 1461, Eala A. 1704.

Probabilities

Games over 18.550%
Games under 18.550%

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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
  • Jones E. games
  • Eala A. games
  • Score in sets
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Form

Jones E.

  • 01.11Shubladze A.0:2
  • 31.10Watson H.2:0
  • 25.10Yastremska D.0:2
  • 24.10Wong Hong Yi C.2:1
  • 20.10Li A.1:2

Eala A.

  • 30.10Shnaider D.1:2
  • 28.10Gibson T.2:1
  • 26.10Stojsavljevic M.2:0
  • 22.10Shnaider D.0:2
  • 19.10Parry D.2:0

Head to head

No previous meetings in the data.

Next match

  • Valentova T.Eala A.5 November · WTA · Hong Kong
    2The model's most likely outcome: 2Model's score: 0:220.5

WTA on the same day

  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.22.5
  • 1The most likely outcome did not happen: 1Final score 0:2. Model's score: 2:0.21.5
  • 2The most likely outcome came true: 2Final score 1:2. Model's score: 0:2.21.5
  • 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.22.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.20.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.21.5
  • 1The most likely outcome did not happen: 1Final score 0:2. Model's score: 2:0.21.5

This is the model’s statistical estimate, not a recommendation. An outcome at 84% will not happen in roughly 16 matches out of 100. How to read probabilities →