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
Clermont
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
27 | 18 | 8 | 1 | +41 | +21.3 | 62 |
| 2 |
Brest
|
27 | 14 | 8 | 5 | +17 | +8.6 | 50 |
| 3 |
Lille
|
28 | 13 | 10 | 5 | +17 | +14.4 | 49 |
| 4 |
Monaco
|
27 | 14 | 7 | 6 | +14 | +7.6 | 49 |
| 5 |
Lens
|
28 | 12 | 7 | 9 | +7 | +0.5 | 43 |
| 6 |
Nice
|
27 | 12 | 7 | 8 | +6 | +9.6 | 43 |
| 7 |
Marseille
|
28 | 10 | 9 | 9 | +8 | +16.5 | 39 |
| 8 |
Rennes
|
27 | 10 | 9 | 8 | +7 | +6.9 | 39 |
| 9 |
Reims
|
27 | 11 | 6 | 10 | -1 | +5.5 | 39 |
| 10 |
Lyon
|
27 | 10 | 5 | 12 | -10 | -5.8 | 35 |
| 11 |
Toulouse
|
27 | 8 | 8 | 11 | -4 | -7.0 | 32 |
| 12 |
Strasbourg
|
27 | 8 | 8 | 11 | -9 | -2.9 | 32 |
| 13 |
Montpellier
|
27 | 7 | 9 | 11 | -7 | +1.3 | 30 |
| 14 |
Le Havre
|
28 | 6 | 10 | 12 | -9 | -11.5 | 28 |
| 15 |
Nantes
|
27 | 8 | 4 | 15 | -16 | -11.7 | 28 |
| 16 |
Lorient
|
27 | 6 | 8 | 13 | -15 | -14.2 | 26 |
| 17 |
Metz
|
27 | 6 | 5 | 16 | -19 | -17.3 | 23 |
| 18 |
Clermont
|
27 | 4 | 8 | 15 | -27 | -21.9 | 20 |
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.
Arnau Tenas
G
N. Mukiele
D
M. Škriniar
D
Marco Asensio
M
Carlos Soler
M
R. Kolo Muani
F
Gonçalo Ramos
F
S. Mayulu
F
Coach: Luis Enrique
M. Ndiaye
G
C. Matsima
D
A. Pelmard
D
J. Allevinah
M
Neto Borges
M
A. Virginius
F
Y. Magnin
F
Coach: P. Gastien
Green columns are the outcomes that came in.
Paris SG
Rennes
Marseille
Paris SG
Montpellier
Paris SG
Paris SG
Nice
Paris SG
Reims
G Angoula · 67 kamper i vår database
🟥 Red cards: 0,15 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.