Tennis: ATP, Shanghai, hard · Monday, 12 October, MSK

Bergs Z. — Alcaraz C.

☆ Save match

Model prediction and result

2:0Missed
Bergs Z.10%
Alcaraz C.90%
Model estimate at MSK, the last one before kick-off

In short

Final score 2:0: the model's most likely outcome, Alcaraz C. to win (90%), did not happen. That happens: an outcome at 90% fails in about 10 matches out of 100 on average.

Alcaraz C. are clear favourites: 90% against 10% for the opponent.

Over 20.5 games — 44%.

Why

  • Rating on hard: Bergs Z. 1609, Alcaraz C. 2028.

Probabilities

Games over 20.544%
Games under 20.556%

100 more model lines in Premium

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
  • Bergs Z. games
  • Alcaraz C. games
  • Score in sets
Get Premiumfrom $5.99 a month

Form

Bergs Z.

  • 10.10Buse I.2:0
  • 08.10Kopriva V.2:0
  • 01.10Lehecka J.1:2

Alcaraz C.

  • 10.10Cerundolo J. M.2:0
  • 06.10Lehecka J.2:0
  • 05.10Munar J.2:1
  • 04.10Shapovalov D.1:0
  • 03.10Arnaldi M.2:0

Head to head

No previous meetings in the data.

Next match

  • Paul T.Bergs Z.14 October · ATP · Shanghai
    1The model's most likely outcome: 1Model's score: 2:022.5

ATP on the same day

  • 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 0:2. Model's score: 2:0.22.5
  • 1The most likely outcome did not happen: 1Final score 1:2. 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
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.19.5
  • 1The most likely outcome did not happen: 1Final score 0:2. Model's score: 2:0.21.5
  • 1The most likely outcome came true: 1Final score 2:0. Model's score: 2:0, exactly right.22.5

This is the model’s statistical estimate, not a recommendation. An outcome at 90% will not happen in roughly 10 matches out of 100. How to read probabilities →