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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Monaco
Lyon
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 |
Paris SG
|
9 | 7 | 2 | 0 | +14 | 23 |
| 2 |
Angers
|
9 | 5 | 3 | 1 | +5 | 18 |
| 3 |
Caen
|
9 | 6 | 0 | 3 | +1 | 18 |
| 4 |
Rennes
|
9 | 4 | 4 | 1 | +5 | 16 |
| 5 |
St Etienne
|
9 | 5 | 1 | 3 | +1 | 16 |
| 6 |
Lyon
|
9 | 4 | 3 | 2 | +5 | 15 |
| 7 |
Reims
|
9 | 4 | 3 | 2 | +4 | 15 |
| 8 |
Nice
|
8 | 4 | 2 | 2 | +9 | 14 |
| 9 |
Lorient
|
9 | 4 | 2 | 3 | +1 | 14 |
| 10 |
Monaco
|
9 | 3 | 4 | 2 | -1 | 13 |
| 11 |
Guingamp
|
9 | 4 | 1 | 4 | -3 | 13 |
| 12 |
Lille
|
9 | 2 | 4 | 3 | +0 | 10 |
| 13 |
Bastia
|
9 | 3 | 1 | 5 | -2 | 10 |
| 14 |
Bordeaux
|
9 | 2 | 4 | 3 | -3 | 10 |
| 15 |
Nantes
|
8 | 3 | 1 | 4 | -6 | 10 |
| 16 |
Marseille
|
9 | 2 | 2 | 5 | +3 | 8 |
| 17 |
Toulouse
|
9 | 1 | 5 | 3 | -5 | 8 |
| 18 |
Montpellier
|
9 | 1 | 1 | 7 | -8 | 4 |
| 19 |
Troyes
|
9 | 0 | 4 | 5 | -11 | 4 |
| 20 |
Gazelec FC Ajaccio
|
9 | 0 | 3 | 6 | -9 | 3 |
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.
Fabinho
M
João Moutinho
M
T. Lemar
M
M. Pašalić
M
Bernardo Silva
M
Anthony Lopes
G
Sergi Darder
M
C. Tolisso
M
Green columns are the outcomes that came in.
Monaco
Rennes
Guingamp
Monaco
Montpellier
Monaco
Monaco
Lorient
Gazelec FC Ajaccio
Monaco
Fredy Fautrel · 23 kamper i vår database
🟥 Red cards: 0,17 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.