Ligue 1
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
Nimes
Lyon
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 |
Paris SG
|
15 | 12 | 0 | 3 | +24 | 36 |
| 2 |
Marseille
|
16 | 9 | 4 | 3 | +4 | 31 |
| 3 |
Lille
|
17 | 8 | 4 | 5 | +6 | 28 |
| 4 |
Bordeaux
|
16 | 7 | 5 | 4 | +10 | 26 |
| 5 |
St Etienne
|
16 | 7 | 4 | 5 | +0 | 25 |
| 6 |
Montpellier
|
16 | 6 | 6 | 4 | +6 | 24 |
| 7 |
Rennes
|
15 | 7 | 3 | 5 | +4 | 24 |
| 8 |
Angers
|
16 | 7 | 3 | 6 | -2 | 24 |
| 9 |
Nantes
|
16 | 7 | 2 | 7 | -2 | 23 |
| 10 |
Lyon
|
16 | 6 | 4 | 6 | +8 | 22 |
| 11 |
Reims
|
15 | 5 | 6 | 4 | +3 | 21 |
| 12 |
Brest
|
17 | 5 | 6 | 6 | +1 | 21 |
| 13 |
Monaco
|
15 | 6 | 3 | 6 | -2 | 21 |
| 14 |
Nice
|
16 | 6 | 2 | 8 | -5 | 20 |
| 15 |
Strasbourg
|
16 | 5 | 3 | 8 | -5 | 18 |
| 16 |
Dijon
|
16 | 4 | 4 | 8 | -7 | 16 |
| 17 |
Amiens
|
15 | 4 | 4 | 7 | -9 | 16 |
| 18 |
Metz
|
16 | 3 | 6 | 7 | -8 | 15 |
| 19 |
Nimes
|
15 | 2 | 6 | 7 | -12 | 12 |
| 20 |
Toulouse
|
16 | 3 | 3 | 10 | -14 | 12 |
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.
A. Briançon
D
G. Paquiez
D
F. Miguel
D
L. Fomba
M
R. Ripart
F
L. Buadés
F
Coach: B. Blaquart
Anthony Lopes
G
K. Tete
D
J. Andersen
D
M. Caqueret
M
Bertrand Traoré
M
Coach: R. Garcia
Green columns are the outcomes that came in.
Bordeaux
Nimes
Nimes
Metz
Angers
Nimes
Strasbourg
Nimes
Reims
Nimes
O Thual · 91 kamper i vår database
🟥 Red cards: 0,15 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.