Ligue 1, round 8 · Sunday, 25 October, MSK

Auxerre — Le Mans

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Model prediction for 25 October

Auxerre37%
Draw27%
Le Mans36%
Model estimate at MSK

Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.

In short

Evenly matched: Auxerre 37%, Le Mans 36%, draw 27%.

3.1 goals expected in total — close to the competition average (2.8).

Over 2.5 goals — 60%, both teams to score — 65%.

Why

  • By the strength ratings the teams are almost level.

Probabilities

Expected goals: Auxerre — Le Mans What is xG?1.6–1.5
Auxerre not to lose64%
Le Mans not to lose63%
No draw73%
Both teams to score: yes65%
Both teams to score: no35%
Total over 2.560%
Total under 2.540%

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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.

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  • Handicap Auxerre
  • Auxerre goals
  • Le Mans goals
  • Corners and cards
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Form

Auxerre

  • 11.10away · Rennes1:4
  • 20.09Brest2:1
  • 12.09Nice1:0
  • 04.09away · Lyon1:3
  • 29.08Angers1:3

Le Mans

  • 10.10away · Paris Saint-Germain1:3
  • 19.09Lorient2:1
  • 13.09Lens2:2
  • 05.09away · Nice1:1
  • 30.08away · Rennes2:3

Head to head

No previous meetings in the data.

Table

Table «Overall», season 2026/27
#TeamPWDLGoals+/−Pts
13Marseille62049–8+16
14Le Mans613210–12-26
15Toulouse61329–11-26
16, Relegation play-offAuxerre62048–16-86
17, RelegationTroyes61144–13-94

Season 2026/27

Full table

Ligue 1 on the same day

  • MonacoLillepreliminary
    1The model's most likely outcome: 1Model's score: 2:02.7
  • AngersLorientpreliminary
    2The model's most likely outcome: 2Model's score: 0:12.4
  • 1The model's most likely outcome: 1Model's score: 2:03.1
  • RennesStrasbourgpreliminary
    1The model's most likely outcome: 1Model's score: 2:13.1
  • 1The model's most likely outcome: 1Model's score: 1:03.4

This is the model’s statistical estimate, not a recommendation. An outcome at 37% will not happen in roughly 63 matches out of 100. How to read probabilities →