French Ligue 2, round 11 · Friday, 30 October, MSK

Laval — Boulogne

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Model prediction for 30 October

Laval39%
Draw31%
Boulogne31%
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

Laval are slightly stronger: 39% against 31%, draw 31%.

2.3 goals expected in total — close to the competition average (2.6).

Over 2.5 goals — 41%, both teams to score — 49%.

Why

  • By the strength ratings the teams are almost level.

Probabilities

Expected goals: Laval — Boulogne What is xG?1.2–1.1
Laval not to lose69%
Boulogne not to lose61%
No draw69%
Both teams to score: yes49%
Both teams to score: no51%
Total over 2.541%
Total under 2.559%

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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.

  • All totals
  • Handicap Laval
  • Laval goals
  • Boulogne goals
  • Corners and cards
  • Full score grid
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Form

Laval

  • 09.10away · Pau2:3
  • 18.09Sochaux1:1
  • 11.09away · Dijon2:3
  • 04.09Red Star1:2
  • 28.08Grenoble0:3

Boulogne

  • 09.10away · Sochaux1:1
  • 19.09Nantes1:2
  • 11.09away · Clermont Foot0:0
  • 04.09Dijon1:1
  • 28.08away · Montpellier0:0

Head to head

  • 09.05.2026Laval — Boulogne2:1
  • 12.09.2025Boulogne — Laval1:2

Table

Table «Overall», season 2026/27
#TeamPWDLGoals+/−Pts
15Rodez821514–18-47
16, Relegation play-offBoulogne80624–6-26
17, RelegationClermont Foot80626–9-36
18, RelegationLaval812510–17-75

Season 2026/27

Full table

Ligue 2 on the same day

  • GrenobleDijonpreliminary
    1The model's most likely outcome: 1Model's score: 1:03.0
  • MetzPaupreliminary
    1The model's most likely outcome: 1Model's score: 3:13.1
  • 1The model's most likely outcome: 1Model's score: 1:02.2
  • RodezDunkerquepreliminary
    1The model's most likely outcome: 1Model's score: 2:13.0

This is the model’s statistical estimate, not a recommendation. An outcome at 39% will not happen in roughly 61 matches out of 100. How to read probabilities →