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
Paris SG
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
|
13 | 10 | 3 | 0 | +26 | +23.5 | 33 |
| 2 |
Marseille
|
13 | 8 | 2 | 3 | +12 | -1.9 | 26 |
| 3 |
Lille
|
14 | 7 | 5 | 2 | +10 | +6.8 | 26 |
| 4 |
Monaco
|
13 | 8 | 2 | 3 | +10 | +13.6 | 26 |
| 5 |
Lyon
|
13 | 6 | 4 | 3 | +6 | +5.8 | 22 |
| 6 |
Nice
|
13 | 5 | 5 | 3 | +8 | +7.5 | 20 |
| 7 |
Lens
|
13 | 5 | 5 | 3 | +3 | +6.2 | 20 |
| 8 |
Auxerre
|
13 | 6 | 1 | 6 | +0 | -5.0 | 19 |
| 9 |
Reims
|
13 | 5 | 3 | 5 | +2 | -4.7 | 18 |
| 10 |
Toulouse
|
13 | 5 | 3 | 5 | +1 | +10.0 | 18 |
| 11 |
Brest
|
14 | 5 | 1 | 8 | -6 | -9.6 | 16 |
| 12 |
Rennes
|
13 | 4 | 2 | 7 | -1 | +1.1 | 14 |
| 13 |
Strasbourg
|
13 | 3 | 4 | 6 | -5 | -7.2 | 13 |
| 14 |
Angers
|
13 | 3 | 4 | 6 | -7 | -5.1 | 13 |
| 15 |
St Etienne
|
13 | 4 | 1 | 8 | -19 | -12.0 | 13 |
| 16 |
Le Havre
|
13 | 4 | 0 | 9 | -14 | -9.9 | 12 |
| 17 |
Nantes
|
13 | 2 | 5 | 6 | -5 | -6.0 | 11 |
| 18 |
Montpellier
|
13 | 2 | 2 | 9 | -21 | -13.1 | 8 |
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
E. Owusu
M
K. Danois
M
G. Mensah
M
G. Perrin
F
H. Traoré
F
L. Sinayoko
F
Coach: C. Pélissier
G. Donnarumma
G
A. Hakimi
D
Marquinhos
D
W. Pacho
D
Nuno Mendes
D
Fabián Ruiz
M
Vitinha
M
W. Zaïre-Emery
M
Lee Kang-In
F
Gonçalo Ramos
F
B. Barcola
F
Coach: Luis Enrique
Green columns are the outcomes that came in.
Toulouse
Auxerre
Auxerre
Angers
Marseille
Auxerre
Auxerre
Rennes
Lyon
Auxerre
J Pignard · 145 kamper i vår database
🟥 Red cards: 0,29 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.