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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Auxerre
Strasbourg
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 | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
24 | 19 | 5 | 0 | +43 | +40.7 | 62 |
| 2 |
Marseille
|
23 | 14 | 4 | 5 | +21 | +12.5 | 46 |
| 3 |
Nice
|
24 | 13 | 7 | 4 | +21 | +15.5 | 46 |
| 4 |
Monaco
|
24 | 13 | 4 | 7 | +17 | +27.6 | 43 |
| 5 |
Lille
|
24 | 11 | 8 | 5 | +12 | +6.1 | 41 |
| 6 |
Lyon
|
24 | 11 | 6 | 7 | +13 | +5.4 | 39 |
| 7 |
Strasbourg
|
23 | 9 | 7 | 7 | +5 | -4.9 | 34 |
| 8 |
Lens
|
24 | 9 | 6 | 9 | +0 | +4.8 | 33 |
| 9 |
Brest
|
24 | 10 | 3 | 11 | -4 | -9.0 | 33 |
| 10 |
Toulouse
|
23 | 8 | 6 | 9 | +1 | +8.4 | 30 |
| 11 |
Auxerre
|
23 | 7 | 7 | 9 | -3 | -11.4 | 28 |
| 12 |
Angers
|
23 | 7 | 6 | 10 | -8 | -6.4 | 27 |
| 13 |
Rennes
|
23 | 8 | 2 | 13 | -2 | +1.8 | 26 |
| 14 |
Nantes
|
23 | 5 | 9 | 9 | -12 | -9.1 | 24 |
| 15 |
Reims
|
24 | 5 | 7 | 12 | -12 | -16.6 | 22 |
| 16 |
Le Havre
|
24 | 6 | 2 | 16 | -27 | -17.2 | 20 |
| 17 |
St Etienne
|
24 | 5 | 4 | 15 | -32 | -30.5 | 19 |
| 18 |
Montpellier
|
23 | 4 | 3 | 16 | -33 | -17.9 | 15 |
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. Osho
D
C. Akpa
D
K. Danois
M
E. Owusu
M
G. Mensah
M
G. Perrin
F
H. Traoré
F
T. Bair
F
Coach: C. Pélissier
Đ. Petrović
G
G. Doué
D
M. Sarr
D
I. Doukouré
D
D. Bakwa
M
H. Diarra
M
Andrey Santos
M
V. Barco
M
S. Nanasi
F
F. Lemaréchal
F
E. Emegha
F
Coach: L. Rosenior
Green columns are the outcomes that came in.
Auxerre
Marseille
Brest
Auxerre
Auxerre
Toulouse
Monaco
Auxerre
Auxerre
St Etienne
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.