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.
Unlock with ProAlready have an account? Log in
Laval
Grenoble
Expected goals, over/under and both teams to score — priced by the model before kick-off.
Unlock with ProAlready have an account? Log in
The model's top final scores with the best bookmaker odds.
Unlock with ProAlready have an account? Log in
Half-time score: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Troyes
|
27 | 16 | 6 | 5 | +17 | 54 |
| 2 |
St Etienne
|
27 | 15 | 5 | 7 | +17 | 50 |
| 3 |
Le Mans
|
27 | 12 | 11 | 4 | +11 | 47 |
| 4 |
Reims
|
27 | 11 | 10 | 6 | +13 | 43 |
| 5 |
Rodez
|
27 | 11 | 10 | 6 | +2 | 43 |
| 6 |
Montpellier
|
27 | 12 | 5 | 10 | +8 | 41 |
| 7 |
Red Star
|
26 | 11 | 8 | 7 | +4 | 41 |
| 8 |
Dunkerque
|
27 | 10 | 9 | 8 | +13 | 39 |
| 9 |
Annecy
|
27 | 11 | 6 | 10 | +5 | 39 |
| 10 |
Guingamp
|
27 | 10 | 9 | 8 | +0 | 39 |
| 11 |
Pau FC
|
27 | 10 | 8 | 9 | -4 | 38 |
| 12 |
Boulogne
|
27 | 9 | 6 | 12 | -8 | 33 |
| 13 |
Grenoble
|
27 | 6 | 12 | 9 | -6 | 30 |
| 14 |
Clermont
|
27 | 7 | 7 | 13 | -6 | 28 |
| 15 |
Nancy
|
27 | 7 | 6 | 14 | -16 | 27 |
| 16 |
Amiens
|
27 | 6 | 5 | 16 | -16 | 23 |
| 17 |
Laval
|
27 | 3 | 11 | 13 | -18 | 20 |
| 18 |
Bastia
|
26 | 3 | 10 | 13 | -16 | 19 |
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.
M. Samassa
G
C. Kouassi
D
S. Bane
D
W. Bianda
D
S. Sanna
M
D. Mbayo
M
M. Sellouki
M
M. Camara
M
Coach: Olivier Frapolli
M. Diop
G
G. Paquiez
D
C. Vidal
D
S. Delos
D
N. Zahui
M
M. Xantippe
M
L. Bernadou
M
Y. Diaby
M
J. Benet
F
U. Bonnet
F
Coach: Franck Rizzetto
Green columns are the outcomes that came in.
Montpellier
Laval
Laval
Guingamp
Laval
Nancy
St Etienne
Laval
Laval
Annecy
T Leprodhomme · 16 kamper i vår database
🟥 Red cards: 0,18 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.