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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Marseille
Clermont
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
4 | 3 | 1 | 0 | +14 | 10 |
| 2 |
Marseille
|
4 | 3 | 1 | 0 | +7 | 10 |
| 3 |
Lens
|
4 | 3 | 1 | 0 | +5 | 10 |
| 4 |
Lyon
|
4 | 3 | 1 | 0 | +5 | 10 |
| 5 |
Montpellier
|
5 | 3 | 0 | 2 | +6 | 9 |
| 6 |
Lorient
|
3 | 2 | 1 | 0 | +2 | 7 |
| 7 |
Lille
|
4 | 2 | 1 | 1 | -1 | 7 |
| 8 |
Auxerre
|
5 | 2 | 1 | 2 | -2 | 7 |
| 9 |
Nantes
|
5 | 1 | 3 | 1 | +1 | 6 |
| 10 |
Troyes
|
5 | 2 | 0 | 3 | -3 | 6 |
| 11 |
Clermont
|
4 | 2 | 0 | 2 | -3 | 6 |
| 12 |
Toulouse
|
4 | 1 | 2 | 1 | +1 | 5 |
| 13 |
Reims
|
5 | 1 | 2 | 2 | -3 | 5 |
| 14 |
Monaco
|
5 | 1 | 2 | 2 | -4 | 5 |
| 15 |
Rennes
|
4 | 1 | 1 | 2 | -1 | 4 |
| 16 |
Brest
|
4 | 1 | 1 | 2 | -6 | 4 |
| 17 |
Strasbourg
|
5 | 0 | 3 | 2 | -2 | 3 |
| 18 |
Nice
|
4 | 0 | 2 | 2 | -4 | 2 |
| 19 |
Angers
|
5 | 0 | 2 | 3 | -6 | 2 |
| 20 |
Ajaccio
|
5 | 0 | 1 | 4 | -6 | 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.
Pau López
G
J. Clauss
M
V. Rongier
M
P. Gueye
M
Nuno Tavares
M
M. Guendouzi
F
Coach: I. Tudor
M. Diaw
G
M. Wieteska
D
A. Seidu
D
Y. Magnin
M
Coach: P. Gastien
Green columns are the outcomes that came in.
Nice
Marseille
Marseille
Nantes
Brest
Marseille
Marseille
Reims
Marseille
Strasbourg
E Wattellier · 152 kamper i vår database
🟥 Red cards: 0,19 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.