Tennis: ATP, Tokyo, hard · Wednesday, 30 September, MSK

Fils A. — van Assche L.

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Model prediction and result

2:0Came true
Fils A.90%
van Assche L.10%
Model estimate at MSK, the last one before kick-off

In short

Final score 2:0: the model's most likely outcome, Fils A. to win (90%), came true.

Fils A. are clear favourites: 90% against 10% for the opponent.

Over 20.5 games — 52%.

Why

  • Rating on hard: Fils A. 1870, van Assche L. 1530.

Probabilities

Games over 20.552%
Games under 20.548%

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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
  • Fils A. games
  • van Assche L. games
  • Score in sets
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Form

Fils A.

  • 29.09Majchrzak K.2:1
  • 28.09Damm M.2:1

van Assche L.

No past matches in the data yet.

Head to head

No previous meetings in the data.

Next matches

  • Fils A.Tiafoe F.2 October · ATP · Tokyo
    1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.24.5
  • van Assche L.Bu Y.8 October · ATP · Shanghai
    2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.23.5

ATP on the same day

  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.25.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.24.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.24.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.24.5
  • 1The most likely outcome did not happen: 1Final score 1:2. Model's score: 2:0.25.5
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.24.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.22.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5

This is the model’s statistical estimate, not a recommendation. An outcome at 90% will not happen in roughly 10 matches out of 100. How to read probabilities →