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.
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Brest
Toulouse
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
5 | 4 | 1 | 0 | +13 | +10.2 | 13 |
| 2 |
Monaco
|
5 | 4 | 1 | 0 | +8 | +6.9 | 13 |
| 3 |
Marseille
|
4 | 3 | 1 | 0 | +8 | +1.8 | 10 |
| 4 |
Lens
|
5 | 2 | 3 | 0 | +3 | +3.8 | 9 |
| 5 |
Reims
|
5 | 2 | 2 | 1 | +0 | -6.0 | 8 |
| 6 |
Nice
|
5 | 2 | 1 | 2 | +8 | +5.7 | 7 |
| 7 |
Rennes
|
5 | 2 | 1 | 2 | +3 | +1.5 | 7 |
| 8 |
Nantes
|
4 | 2 | 1 | 1 | +3 | +0.7 | 7 |
| 9 |
Lille
|
5 | 2 | 1 | 2 | +1 | +0.6 | 7 |
| 10 |
Strasbourg
|
5 | 1 | 3 | 1 | +1 | +0.8 | 6 |
| 11 |
Le Havre
|
5 | 2 | 0 | 3 | -3 | -1.7 | 6 |
| 12 |
Toulouse
|
4 | 1 | 2 | 1 | +0 | +2.2 | 5 |
| 13 |
Lyon
|
4 | 1 | 1 | 2 | -4 | -2.5 | 4 |
| 14 |
Brest
|
4 | 1 | 0 | 3 | -4 | -2.1 | 3 |
| 15 |
Auxerre
|
4 | 1 | 0 | 3 | -6 | -4.2 | 3 |
| 16 |
St Etienne
|
5 | 1 | 0 | 4 | -14 | -10.1 | 3 |
| 17 |
Angers
|
4 | 0 | 1 | 3 | -6 | -3.3 | 1 |
| 18 |
Montpellier
|
4 | 0 | 1 | 3 | -11 | -4.2 | 1 |
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. Bizot
G
L. Zogbé
D
J. Le Cardinal
D
A. Ndiaye
D
M. Haïdara
D
H. Magnetti
M
J. Martin
M
K. Doumbia
M
I. Salah
F
Mama Baldé
F
Coach: E. Roy
G. Restes
G
C. Cresswell
D
R. Nicolaisen
D
Ü. Akdağ
D
D. Sidibé
M
V. Sierro
M
C. Cásseres
M
G. Suazo
M
Z. Aboukhlal
F
Y. Gboho
F
Coach: Carles Martínez
Green columns are the outcomes that came in.
Brest
Sturm Graz
Paris SG
Brest
Brest
St Etienne
Lens
Brest
Brest
Marseille
F Batta · 132 kamper i vår database
🟥 Red cards: 0,23 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.