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
Brest
Rennes
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: 1–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
20 | 13 | 3 | 4 | +33 | 42 |
| 2 |
Lyon
|
19 | 11 | 7 | 1 | +21 | 40 |
| 3 |
Lille
|
19 | 11 | 6 | 2 | +19 | 39 |
| 4 |
Monaco
|
20 | 11 | 3 | 6 | +10 | 36 |
| 5 |
Rennes
|
19 | 9 | 6 | 4 | +7 | 33 |
| 6 |
Marseille
|
18 | 9 | 5 | 4 | +8 | 32 |
| 7 |
Angers
|
20 | 9 | 3 | 8 | -6 | 30 |
| 8 |
Montpellier
|
20 | 8 | 4 | 8 | -2 | 28 |
| 9 |
Lens
|
18 | 8 | 3 | 7 | +0 | 27 |
| 10 |
Bordeaux
|
19 | 7 | 5 | 7 | -1 | 26 |
| 11 |
Brest
|
19 | 8 | 2 | 9 | -4 | 26 |
| 12 |
Metz
|
19 | 6 | 7 | 6 | +2 | 25 |
| 13 |
Nice
|
18 | 6 | 5 | 7 | -3 | 23 |
| 14 |
Reims
|
19 | 5 | 6 | 8 | -2 | 21 |
| 15 |
Strasbourg
|
19 | 6 | 2 | 11 | -4 | 20 |
| 16 |
St Etienne
|
19 | 4 | 7 | 8 | -9 | 19 |
| 17 |
Nantes
|
19 | 3 | 8 | 8 | -12 | 17 |
| 18 |
Nimes
|
20 | 4 | 3 | 13 | -25 | 15 |
| 19 |
Dijon
|
19 | 2 | 8 | 9 | -14 | 14 |
| 20 |
Lorient
|
19 | 3 | 3 | 13 | -18 | 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.
G. Larsonneur
G
R. Perraud
D
R. Pierre-Gabriel
D
H. Belkebla
M
R. Faivre
M
F. Honorat
M
I. Cardona
F
Coach: O. Dall’Oglio
H. Traoré
D
N. Aguerd
D
A. Truffert
D
S. Nzonzi
M
M. Terrier
F
E. Camavinga
M
J. Doku
M
Coach: J. Stéphan
Green columns are the outcomes that came in.
Paris SG
Brest
Brest
Nice
Lens
Brest
Brest
Montpellier
Lyon
Brest
R Buquet · 155 kamper i vår database
🟥 Red cards: 0,25 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.