Tennis: ATP, Shanghai, qualifying, hard · Tuesday, 6 October, MSK

Safiullin R. — Mochizuki S.

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Model prediction and result

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

In short

Final score 2:0: 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 21.5 games — 52%.

Why

  • Rating on hard: Safiullin R. 1583, Mochizuki S. 1456.

Probabilities

Games over 21.552%
Games under 21.548%

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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
  • Safiullin R. games
  • Mochizuki S. games
  • Score in sets
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Form

Safiullin R.

  • 05.10Galarneau A.2:0
  • 03.10Rublev A.1:2
  • 01.10Cobolli F.2:0
  • 28.09Medvedev D.0:2
  • 27.09Bu Y.2:0

Mochizuki S.

  • 05.10Daniel T.2:1
  • 28.09Faria J.0:2
  • 24.09Damm M.0:2
  • 23.09Kotov P.2:0
  • 22.09Xiao L.2:1

Head to head

No previous meetings in the data.

Next match

  • Hijikata R.Safiullin R.7 October · ATP · Shanghai
    2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.22.5

ATP on the same day

  • 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 1:2. Model's score: 0:2.22.5
  • 2The most likely outcome did not happen: 2Final score 2:0. 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 did not happen: 1Final score 0:2. Model's score: 2:0.22.5
  • 1The most likely outcome did not happen: 1Final score 0:0. Model's score: 2:0.21.5
  • 1The most likely outcome did not happen: 1Final score 1:2. Model's score: 2:0.23.5
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.23.5

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 →