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Tennis: ATP, Paris, hard · Monday, 2 November, (UTC+3)

Shapovalov D. — Khachanov K.

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Model prediction and result

1:1Came true
Shapovalov D.48%
Khachanov K.52%
Model estimate at (UTC+3), the last one before kick-off

In short

Final score 1:1: the model's most likely outcome, Khachanov K. to win (52%), came true.

Evenly matched: Shapovalov D. 48%, Khachanov K. 52%.

Over 23.5 games — 47%.

Why

  • Rating on hard: Shapovalov D. 1667, Khachanov K. 1683.

Probabilities

Games over 23.547%
Games under 23.553%

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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
  • Shapovalov D. games
  • Khachanov K. games
  • Score in sets
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Form

Shapovalov D.

  • 29.10Fritz T.0:2
  • 28.10Bertola R.2:0
  • 04.10Alcaraz C.0:1
  • 03.10Tabilo A.2:1
  • 01.10Shimabukuro S.2:0

Khachanov K.

  • 27.10Alcaraz C.0:2
  • 23.10Bublik A.1:2
  • 22.10Machac T.2:1
  • 20.10Sakamoto R.2:0
  • 13.10De Minaur A.0:2

Head to head

No previous meetings in the data.

Next match

  • Borges N.Khachanov K.4 November · ATP · Paris
    2The model's most likely outcome: 2Model's score: 0:223.5

ATP on the same day

  • 2The most likely outcome did not happen: 2Final score 2:0. 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
  • 1The most likely outcome did not happen: 1Final score 0:2. Model's score: 2:0.22.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.22.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.20.5
  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.22.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.21.5

This is the model’s statistical estimate, not a recommendation. An outcome at 52% will not happen in roughly 48 matches out of 100. How to read probabilities →