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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Le Havre
Lyon
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
8 | 6 | 2 | 0 | +17 | +14.3 | 20 |
| 2 |
Monaco
|
8 | 6 | 2 | 0 | +10 | +10.0 | 20 |
| 3 |
Marseille
|
7 | 4 | 2 | 1 | +8 | -1.2 | 14 |
| 4 |
Lille
|
8 | 4 | 2 | 2 | +5 | +3.3 | 14 |
| 5 |
Lens
|
8 | 3 | 5 | 0 | +5 | +4.9 | 14 |
| 6 |
Reims
|
7 | 4 | 2 | 1 | +4 | -1.7 | 14 |
| 7 |
Strasbourg
|
8 | 2 | 4 | 2 | +0 | +0.3 | 10 |
| 8 |
Lyon
|
7 | 3 | 1 | 3 | -2 | +1.6 | 10 |
| 9 |
Brest
|
8 | 3 | 1 | 4 | -3 | -6.2 | 10 |
| 10 |
Nice
|
7 | 2 | 3 | 2 | +8 | +3.9 | 9 |
| 11 |
Nantes
|
7 | 2 | 3 | 2 | +1 | -1.2 | 9 |
| 12 |
Rennes
|
8 | 2 | 2 | 4 | +0 | -0.2 | 8 |
| 13 |
St Etienne
|
8 | 2 | 1 | 5 | -14 | -9.4 | 7 |
| 14 |
Auxerre
|
7 | 2 | 0 | 5 | -6 | -5.1 | 6 |
| 15 |
Le Havre
|
7 | 2 | 0 | 5 | -8 | -4.6 | 6 |
| 16 |
Toulouse
|
7 | 1 | 2 | 4 | -4 | +4.6 | 5 |
| 17 |
Montpellier
|
7 | 1 | 1 | 5 | -13 | -8.3 | 4 |
| 18 |
Angers
|
7 | 0 | 3 | 4 | -8 | -4.9 | 3 |
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.
T. Pembélé
D
Y. Salmier
D
G. Lloris
D
O. Targhalline
M
R. Ndiaye
M
C. Opéri
M
J. Casimir
F
I. Soumaré
F
Coach: D. Digard
Lucas Perri
G
A. Maitland-Niles
D
Clinton Mata
D
M. Niakhaté
D
Abner
D
M. Caqueret
M
C. Tolisso
M
R. Cherki
F
M. Fofana
F
Coach: P. Sage
Green columns are the outcomes that came in.
Brest
Le Havre
Le Havre
Lille
Monaco
Le Havre
Toulouse
Le Havre
Le Havre
Auxerre
A Kherradji · 83 kamper i vår database
🟥 Red cards: 0,17 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.