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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Rennes
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: 2–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Marseille
|
1 | 1 | 0 | 0 | +4 | +1.7 | 3 |
| 2 |
Lens
|
1 | 1 | 0 | 0 | +3 | +2.6 | 3 |
| 3 |
Lille
|
1 | 1 | 0 | 0 | +2 | -0.8 | 3 |
| 4 |
Lyon
|
1 | 1 | 0 | 0 | +2 | -2.1 | 3 |
| 5 |
Monaco
|
1 | 1 | 0 | 0 | +1 | +0.8 | 3 |
| 6 |
Le Mans
|
1 | 0 | 1 | 0 | +0 | -2.1 | 1 |
| 7 |
Brest
|
1 | 0 | 1 | 0 | +0 | +2.1 | 1 |
| 8 |
Nice
|
1 | 0 | 1 | 0 | +0 | -0.2 | 1 |
| 9 |
Lorient
|
1 | 0 | 1 | 0 | +0 | +0.2 | 1 |
| 10 |
Troyes
|
1 | 0 | 1 | 0 | +0 | -1.4 | 1 |
| 11 |
Paris FC
|
1 | 0 | 1 | 0 | +0 | +1.4 | 1 |
| 12 |
Le Havre
|
1 | 0 | 0 | 1 | -1 | -0.8 | 0 |
| 13 |
Angers
|
1 | 0 | 0 | 1 | -2 | +0.8 | 0 |
| 14 |
Toulouse
|
1 | 0 | 0 | 1 | -2 | +2.1 | 0 |
| 15 |
Auxerre
|
1 | 0 | 0 | 1 | -3 | -2.6 | 0 |
| 16 |
Strasbourg
|
1 | 0 | 0 | 1 | -4 | -1.7 | 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.
Brice Samba
G
Przemysław Frankowski
D
Charlie Cresswell
D
Abdelhamid Ait Boudlal
D
Mahamadou Nagida
D
Valentin Rongier
M
Mousa Tamari
M
Sebastian Szymański
M
Adrien Thomasson
M
Issa Soumaré
M
Esteban Lepaul
F
Coach: Franck Haise
Matvey Safonov
G
Achraf Hakimi
D
Marquinhos
D
Willian Pacho
D
Lucas Hernández
D
Warren Zaïre-Emery
M
Vitinha
M
João Neves
M
Désiré Doué
F
Ousmane Dembélé
F
Khvicha Kvaratskhelia
F
Coach: Enrique Luis
Green columns are the outcomes that came in.
Marseille
Rennes
Rennes
Paris FC
Lyon
Rennes
Rennes
Nantes
Strasbourg
Rennes
Bastien Dechepy · 12 kamper i vår database
🟥 Red cards: 0,36 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.