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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Lyon
Marseille
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 | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
20 | 14 | 5 | 1 | +31 | +18.5 | 47 |
| 2 |
Nice
|
20 | 11 | 6 | 3 | +9 | +9.6 | 39 |
| 3 |
Brest
|
20 | 10 | 6 | 4 | +12 | +5.6 | 36 |
| 4 |
Lille
|
20 | 9 | 8 | 3 | +14 | +11.0 | 35 |
| 5 |
Monaco
|
20 | 10 | 5 | 5 | +9 | +5.1 | 35 |
| 6 |
Lens
|
20 | 9 | 5 | 6 | +5 | +1.7 | 32 |
| 7 |
Reims
|
20 | 9 | 3 | 8 | +0 | +4.4 | 30 |
| 8 |
Marseille
|
19 | 7 | 8 | 4 | +7 | +15.6 | 29 |
| 9 |
Rennes
|
20 | 7 | 7 | 6 | +5 | +8.0 | 28 |
| 10 |
Strasbourg
|
20 | 6 | 7 | 7 | -5 | -2.5 | 25 |
| 11 |
Le Havre
|
20 | 5 | 9 | 6 | -1 | -7.5 | 24 |
| 12 |
Montpellier
|
20 | 4 | 8 | 8 | -5 | -0.4 | 20 |
| 13 |
Toulouse
|
20 | 4 | 8 | 8 | -8 | -10.6 | 20 |
| 14 |
Nantes
|
20 | 5 | 4 | 11 | -11 | -8.3 | 19 |
| 15 |
Lyon
|
19 | 4 | 4 | 11 | -14 | -6.3 | 16 |
| 16 |
Metz
|
20 | 4 | 4 | 12 | -14 | -15.1 | 16 |
| 17 |
Lorient
|
20 | 3 | 7 | 10 | -16 | -13.2 | 16 |
| 18 |
Clermont
|
20 | 3 | 6 | 11 | -18 | -15.5 | 15 |
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.
Anthony Lopes
G
Clinton Mata
D
J. O'Brien
D
D. Ćaleta-Car
D
A. Maitland-Niles
M
M. Caqueret
M
N. Matić
M
N. Tagliafico
M
E. Nuamah
F
G. Orban
F
Coach: P. Sage
Pau López
G
B. Meïté
D
L. Balerdi
D
Q. Merlin
D
A. Ounahi
M
A. Harit
M
I. Ndiaye
F
P. Aubameyang
F
Luis Henrique
F
Coach: G. Gattuso
Green columns are the outcomes that came in.
Lyon
Rennes
Bergerac
Lyon
Le Havre
Lyon
Pontarlier
Lyon
Lyon
Nantes
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.