Tennis: ATP, Tokyo, hard · Sunday, 4 October, MSK

Munar J. — Jacquet K.

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Model prediction and result

2:0Came true
Munar J.58%
Jacquet K.42%
Model estimate at MSK, the last one before kick-off

In short

Final score 2:0: the model's most likely outcome, Munar J. to win (58%), came true.

Munar J. are slightly stronger: 58% against 42%.

Over 24.5 games — 52%.

Why

  • Rating on hard: Munar J. 1617, Jacquet K. 1559.

Probabilities

Games over 24.552%
Games under 24.548%

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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
  • Munar J. games
  • Jacquet K. games
  • Score in sets
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Form

Munar J.

  • 02.10Faria J.2:0
  • 01.10Fritz T.2:1
  • 29.09Kovacevic A.2:0
  • 28.09Giron M.2:1

Jacquet K.

  • 02.10Darderi L.2:0
  • 01.10Rune H.2:0
  • 28.09Rublev A.0:2
  • 27.09Marozsan F.2:0
  • 25.09Etcheverry T. M.2:0

Head to head

No previous meetings in the data.

Next matches

  • Alcaraz C.Munar J.5 October · ATP · Tokyo
    1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.19.5
  • Jacquet K.Zhang T.5 October · ATP · Shanghai
    1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.20.5

ATP on the same day

  • 1The most likely outcome came true: 1Final score 1:0. Model's score: 2:0.21.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.25.5
  • 2The most likely outcome did not happen: 2Final score 2:1. Model's score: 0:2.23.5
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.24.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.24.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.23.5
  • 2The most likely outcome came true: 2Final score 1:2. Model's score: 0:2.24.5

This is the model’s statistical estimate, not a recommendation. An outcome at 58% will not happen in roughly 42 matches out of 100. How to read probabilities →