Tennis: WTA, Wuhan, qualifying, hard · Saturday, 10 October, MSK

Bondar A. — Boisson L.

☆ Save match

Model prediction and result

1:0Came true
Bondar A.57%
Boisson L.43%
Model estimate at MSK, the last one before kick-off

In short

Final score 1:0: the model's most likely outcome, Bondar A. to win (57%), came true.

Bondar A. are slightly stronger: 57% against 43%.

Over 21.5 games — 52%.

Why

  • Rating on hard: Bondar A. 1530, Boisson L. 1544.

Probabilities

Games over 21.552%
Games under 21.548%

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
  • Bondar A. games
  • Boisson L. games
  • Score in sets
Get Premiumfrom $5.99 a month

Form

Bondar A.

  • 30.09Zarazua R.0:2
  • 26.09Birrell K.1:2
  • 26.09Ruse G.2:1
  • 24.09Charaeva A.2:1
  • 22.09Zarazua R.2:1

Boisson L.

No past matches in the data yet.

Head to head

No previous meetings in the data.

Next match

  • Bondar A.Sawangkaew M.11 October · WTA · Wuhan
    2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5

WTA on the same day

  • 1The most likely outcome came true: 1Final score 1:0. Model's score: 2:0.20.5
  • 1The most likely outcome did not happen: 1Final score 0:2. Model's score: 2:0.20.5
  • 2The most likely outcome did not happen: 2Final score 2:0. Model's score: 0:2.20.5
  • 2The most likely outcome did not happen: 2Final score 2:1. Model's score: 0:2.21.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5
  • 1The most likely outcome did not happen: 1Final score 0:1. Model's score: 2:0.21.5
  • 1The most likely outcome did not happen: 1Final score 1:2. Model's score: 2:0.21.5
  • 2The most likely outcome came true: 2Final score 0:2. Model's score: 0:2, exactly right.21.5

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 →