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: 0–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Monaco
|
8 | 5 | 2 | 1 | +10 | +5.3 | 17 |
| 2 |
Nice
|
8 | 4 | 4 | 0 | +5 | +5.9 | 16 |
| 3 |
Brest
|
8 | 4 | 3 | 1 | +2 | +2.2 | 15 |
| 4 |
Reims
|
8 | 4 | 1 | 3 | +3 | +3.1 | 13 |
| 5 |
Paris SG
|
7 | 3 | 3 | 1 | +8 | +8.3 | 12 |
| 6 |
Marseille
|
8 | 3 | 3 | 2 | +1 | +6.9 | 12 |
| 7 |
Lille
|
8 | 3 | 3 | 2 | +1 | +3.4 | 12 |
| 8 |
Rennes
|
7 | 2 | 5 | 0 | +6 | +6.6 | 11 |
| 9 |
Nantes
|
8 | 3 | 2 | 3 | -1 | -5.5 | 11 |
| 10 |
Toulouse
|
8 | 2 | 4 | 2 | +1 | -7.3 | 10 |
| 11 |
Strasbourg
|
8 | 3 | 1 | 4 | -3 | -1.3 | 10 |
| 12 |
Montpellier
|
7 | 2 | 3 | 2 | +3 | +2.9 | 9 |
| 13 |
Le Havre
|
8 | 2 | 3 | 3 | -2 | -5.4 | 9 |
| 14 |
Lens
|
8 | 2 | 2 | 4 | -5 | +0.8 | 8 |
| 15 |
Metz
|
8 | 2 | 2 | 4 | -7 | -7.1 | 8 |
| 16 |
Lorient
|
8 | 1 | 4 | 3 | -5 | -6.4 | 7 |
| 17 |
Lyon
|
8 | 0 | 3 | 5 | -10 | -8.4 | 3 |
| 18 |
Clermont
|
7 | 0 | 2 | 5 | -7 | -4.0 | 2 |
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.
W. Omari
D
A. Theate
D
J. Belocian
D
N. Matić
M
F. Rieder
M
L. Blas
F
A. Kalimuendo
F
A. Gouiri
F
Coach: B. Génésio
G. Donnarumma
G
A. Hakimi
D
Marquinhos
D
M. Škriniar
D
L. Hernández
D
W. Zaïre-Emery
M
Vitinha
M
O. Dembélé
F
Gonçalo Ramos
F
K. Mbappé
F
Coach: Luis Enrique
Green columns are the outcomes that came in.
Villarreal
Rennes
Rennes
Nantes
Montpellier
Rennes
Rennes
Maccabi Haifa
Rennes
Lille
B Bastien · 180 kamper i vår database
🟥 Red cards: 0,22 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.