Tennis: ATP, Shanghai, hard · Wednesday, 7 October, MSK

Hijikata R. — Safiullin R.

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Model prediction and result

0:2Came true
Hijikata R.32%
Safiullin R.68%
Model estimate at MSK, the last one before kick-off

In short

Final score 0:2: the model's most likely outcome, Safiullin R. to win (68%), came true.

Safiullin R. are clear favourites: 68% against 32% for the opponent.

Over 22.5 games — 46%.

Why

  • Rating on hard: Hijikata R. 1548, Safiullin R. 1588.

Probabilities

Games over 22.546%
Games under 22.554%

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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
  • Hijikata R. games
  • Safiullin R. games
  • Score in sets
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Form

Hijikata R.

  • 29.09Tsitsipas S.0:2
  • 28.09Ugo Carabelli C.2:0
  • 25.09Rublev A.0:2
  • 24.09Svrcina D.2:0

Safiullin R.

  • 06.10Mochizuki S.2:0
  • 05.10Galarneau A.2:0
  • 03.10Rublev A.1:2
  • 01.10Cobolli F.2:0
  • 28.09Medvedev D.0:2

Head to head

No previous meetings in the data.

Next match

  • Cerundolo F.Safiullin R.9 October · ATP · Shanghai
    1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.22.5

ATP on the same day

  • 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 1:2. Model's score: 0:2.23.5
  • 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 1:0. Model's score: 2:0.22.5
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.22.5
  • 2The most likely outcome did not happen: 2Final score 2:1. Model's score: 0:2.23.5
  • 2The most likely outcome came true: 2Final score 1:2. Model's score: 0:2.22.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.22.5

This is the model’s statistical estimate, not a recommendation. An outcome at 68% will not happen in roughly 32 matches out of 100. How to read probabilities →