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

Grenoble — Dijon

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Model prediction for 30 October

Grenoble38%
Draw28%
Dijon34%
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: Grenoble 38%, Dijon 34%, draw 28%.

The model expects plenty of goals: 3.0 in total, against a competition average of 2.6.

Over 2.5 goals — 57%, both teams to score — 63%.

Why

  • By the strength ratings the teams are almost level.

Probabilities

Expected goals: Grenoble — Dijon What is xG?1.5–1.4
Grenoble not to lose66%
Dijon not to lose62%
No draw72%
Both teams to score: yes63%
Both teams to score: no37%
Total over 2.557%
Total under 2.543%

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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 Grenoble
  • Grenoble goals
  • Dijon goals
  • Corners and cards
  • Full score grid
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Form

Grenoble

  • 09.10away · Montpellier0:2
  • 18.09Clermont Foot1:1
  • 11.09away · Rodez1:0
  • 04.09Annecy FC1:2
  • 28.08away · Laval3:0

Dijon

  • 12.10Metz4:2
  • 18.09away · Annecy FC2:1
  • 11.09Laval3:2
  • 04.09away · Boulogne1:1
  • 31.08Saint-Étienne2:3

Head to head

No previous meetings in the data.

Table

Table «Overall», season 2026/27
#TeamPWDLGoals+/−Pts
6Annecy FC841310–9+113
7Dijon833214–12+212
8Pau83239–8+111
13Nantes82249–13-48
14Grenoble82248–13-58
15Rodez821514–18-47

Season 2026/27

Full table

Ligue 2 on the same day

  • LavalBoulognepreliminary
    1The model's most likely outcome: 1Model's score: 1:02.3
  • 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 38% will not happen in roughly 62 matches out of 100. How to read probabilities →