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Tennis: ATP, Basel, qualifying, hard · Sunday, 25 October, (UTC+3)

Brunold M. — Bertola R.

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Model prediction and result

0:2Came true
Brunold M.43%
Bertola R.57%
Model estimate at (UTC+3), the last one before kick-off

In short

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

Bertola R. are slightly stronger: 57% against 43%.

Over 22.5 games — 50%.

Why

  • Rating on hard: Brunold M. 1536, Bertola R. 1485.

Probabilities

Games over 22.550%
Games under 22.550%

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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
  • Brunold M. games
  • Bertola R. games
  • Score in sets
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Form

Brunold M.

  • 24.10Faria J.2:0

Bertola R.

  • 24.10Paul J.2:0
  • 21.10Goffin D.1:2
  • 18.10Cina F.1:2
  • 17.10Mpetshi Perricard G.2:1

Head to head

No previous meetings in the data.

Next matches

  • Brunold M.Borges N.26 October · ATP · Basel
    2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.22.5
  • Bertola R.Shapovalov D.28 October · ATP · Basel
    2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5

ATP on the same day

  • 1The most likely outcome came true: 1Final score 2:1. Model's score: 2:0.19.5
  • 2The most likely outcome came true: 2Final score 1:2. Model's score: 0:2.22.5
  • 1The most likely outcome did not happen: 1Final score 1:2. Model's score: 2:0.23.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.23.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.22.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.23.5
  • 2The model's most likely outcome: 2Model's score: 0:222.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.22.5

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 →