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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Paris SG
Nimes
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Lyon
|
1 | 1 | 0 | 0 | +3 | 3 |
| 2 |
Angers
|
1 | 1 | 0 | 0 | +2 | 3 |
| 3 |
Reims
|
1 | 1 | 0 | 0 | +2 | 3 |
| 4 |
St Etienne
|
1 | 1 | 0 | 0 | +1 | 3 |
| 5 |
Nice
|
1 | 1 | 0 | 0 | +1 | 3 |
| 6 |
Lille
|
1 | 1 | 0 | 0 | +1 | 3 |
| 7 |
Rennes
|
1 | 1 | 0 | 0 | +1 | 3 |
| 8 |
Brest
|
1 | 0 | 1 | 0 | +0 | 1 |
| 9 |
Toulouse
|
1 | 0 | 1 | 0 | +0 | 1 |
| 10 |
Strasbourg
|
1 | 0 | 1 | 0 | +0 | 1 |
| 11 |
Metz
|
1 | 0 | 1 | 0 | +0 | 1 |
| 12 |
Dijon
|
1 | 0 | 0 | 1 | -1 | 0 |
| 13 |
Amiens
|
1 | 0 | 0 | 1 | -1 | 0 |
| 14 |
Nantes
|
1 | 0 | 0 | 1 | -1 | 0 |
| 15 |
Montpellier
|
1 | 0 | 0 | 1 | -1 | 0 |
| 16 |
Bordeaux
|
1 | 0 | 0 | 1 | -2 | 0 |
| 17 |
Marseille
|
1 | 0 | 0 | 1 | -2 | 0 |
| 18 |
Monaco
|
1 | 0 | 0 | 1 | -3 | 0 |
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.
A. Areola
G
Marquinhos
M
Juan Bernat
D
T. Kehrer
D
K. Mbappé
F
Coach: T. Tuchel
A. Briançon
D
G. Paquiez
M
F. Miguel
D
R. Ripart
F
Coach: B. Blaquart
Green columns are the outcomes that came in.
Reims
Paris SG
Paris SG
Dijon
Angers
Paris SG
Paris SG
Nice
Montpellier
Paris SG
C Turpin · 184 kamper i vår database
🟥 Red cards: 0,20 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.