Ligue 2
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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St Etienne
Dunkerque
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 1–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Troyes
|
29 | 17 | 7 | 5 | +21 | 58 |
| 2 |
St Etienne
|
29 | 16 | 6 | 7 | +21 | 54 |
| 3 |
Le Mans
|
30 | 14 | 12 | 4 | +16 | 54 |
| 4 |
Reims
|
30 | 12 | 12 | 6 | +15 | 48 |
| 5 |
Red Star
|
29 | 13 | 9 | 7 | +6 | 48 |
| 6 |
Rodez
|
29 | 11 | 12 | 6 | +2 | 45 |
| 7 |
Montpellier
|
30 | 12 | 8 | 10 | +8 | 44 |
| 8 |
Annecy
|
30 | 12 | 7 | 11 | +2 | 43 |
| 9 |
Pau FC
|
30 | 11 | 9 | 10 | -7 | 42 |
| 10 |
Dunkerque
|
29 | 10 | 10 | 9 | +9 | 40 |
| 11 |
Guingamp
|
30 | 10 | 10 | 10 | -3 | 40 |
| 12 |
Boulogne
|
30 | 9 | 9 | 12 | -8 | 36 |
| 13 |
Grenoble
|
30 | 6 | 14 | 10 | -7 | 32 |
| 14 |
Clermont
|
30 | 7 | 9 | 14 | -7 | 30 |
| 15 |
Nancy
|
30 | 7 | 9 | 14 | -16 | 30 |
| 16 |
Laval
|
30 | 4 | 13 | 13 | -17 | 25 |
| 17 |
Amiens
|
30 | 6 | 6 | 18 | -18 | 24 |
| 18 |
Bastia
|
29 | 3 | 12 | 14 | -17 | 21 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
G. Larsonneur
G
K. Pedro
D
J. Le Cardinal
D
B. Old
D
A. Boakye
M
A. Kante
M
I. Cardona
M
A. Moueffek
M
Z. Davitashvili
M
L. Stassin
F
Coach: Philippe Montanier
M. Niflore
G
A. Linguet
D
O. Sangante
D
V. Sasso
D
V. Mayela
D
L. Doucet
M
A. Georgen
M
A. Sekongo
M
E. Bardeli
M
M. Bokele Mputu
M
T. Robinet
F
Coach: Albert Sanchez
Green columns are the outcomes that came in.
Nancy
St Etienne
St Etienne
Annecy
Grenoble
St Etienne
St Etienne
Red Star
Pau FC
St Etienne
P Gaillouste · 98 kamper i vår database
🟥 Red cards: 0,30 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.