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

Trungelliti M. — Sakamoto R.

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Model prediction and result

0:2Came true
Trungelliti M.42%
Sakamoto R.57%
Model estimate at MSK, the last one before kick-off

In short

Final score 0:2: the model's most likely outcome, Sakamoto R. to win (57%), came true.

Sakamoto R. are slightly stronger: 57% against 42%.

Over 22.5 games — 53%.

Why

  • Rating on hard: Trungelliti M. 1473, Sakamoto R. 1496.

Probabilities

Games over 22.553%
Games under 22.547%

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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
  • Trungelliti M. games
  • Sakamoto R. games
  • Score in sets
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Form

Trungelliti M.

  • 29.09Molcan A.0:2
  • 28.09Landaluce M.2:1

Sakamoto R.

  • 06.10Jacquet K.2:1
  • 05.10Hong S. C.2:0
  • 30.09Arnaldi M.1:2

Head to head

No previous meetings in the data.

Next match

  • Sakamoto R.Rublev A.9 October · ATP · Shanghai
    2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.22.5

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 57% will not happen in roughly 43 matches out of 100. How to read probabilities →