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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Clermont
Auxerre
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
|
10 | 8 | 2 | 0 | +23 | 26 |
| 2 |
Marseille
|
10 | 7 | 2 | 1 | +13 | 23 |
| 3 |
Lorient
|
9 | 7 | 1 | 1 | +6 | 22 |
| 4 |
Lens
|
9 | 6 | 3 | 0 | +10 | 21 |
| 5 |
Monaco
|
10 | 6 | 2 | 2 | +6 | 20 |
| 6 |
Rennes
|
9 | 4 | 3 | 2 | +8 | 15 |
| 7 |
Lyon
|
10 | 4 | 2 | 4 | +5 | 14 |
| 8 |
Lille
|
9 | 4 | 1 | 4 | -1 | 13 |
| 9 |
Clermont
|
9 | 4 | 1 | 4 | -2 | 13 |
| 10 |
Montpellier
|
10 | 4 | 0 | 6 | +0 | 12 |
| 11 |
Toulouse
|
10 | 3 | 3 | 4 | -2 | 12 |
| 12 |
Troyes
|
9 | 3 | 2 | 4 | -2 | 11 |
| 13 |
Nice
|
9 | 2 | 2 | 5 | -5 | 8 |
| 14 |
Reims
|
10 | 1 | 5 | 4 | -7 | 8 |
| 15 |
Auxerre
|
9 | 2 | 2 | 5 | -11 | 8 |
| 16 |
Angers
|
9 | 2 | 2 | 5 | -12 | 8 |
| 17 |
Nantes
|
9 | 1 | 4 | 4 | -6 | 7 |
| 18 |
Ajaccio
|
10 | 2 | 1 | 7 | -8 | 7 |
| 19 |
Brest
|
9 | 1 | 3 | 5 | -10 | 6 |
| 20 |
Strasbourg
|
9 | 0 | 5 | 4 | -5 | 5 |
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. Diaw
G
A. Seidu
D
M. Wieteska
D
Y. Magnin
M
Neto Borges
M
S. Khaoui
F
Coach: P. Gastien
Q. Bernard
D
G. Hein
M
Nuno da Costa
M
Coach: J. Furlan
Green columns are the outcomes that came in.
Ajaccio
Clermont
Clermont
Troyes
Strasbourg
Clermont
Clermont
Toulouse
Marseille
Clermont
M Vernice · 76 kamper i vår database
🟥 Red cards: 0,28 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.