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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Marseille
Nice
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
30 | 20 | 9 | 1 | +47 | +25.9 | 69 |
| 2 |
Monaco
|
29 | 16 | 7 | 6 | +17 | +8.5 | 55 |
| 3 |
Brest
|
30 | 15 | 8 | 7 | +15 | +9.4 | 53 |
| 4 |
Lille
|
29 | 14 | 10 | 5 | +18 | +14.0 | 52 |
| 5 |
Nice
|
29 | 13 | 8 | 8 | +9 | +13.2 | 47 |
| 6 |
Lens
|
30 | 13 | 7 | 10 | +7 | +2.5 | 46 |
| 7 |
Rennes
|
30 | 11 | 9 | 10 | +8 | +8.8 | 42 |
| 8 |
Lyon
|
30 | 12 | 5 | 13 | -10 | -5.3 | 41 |
| 9 |
Marseille
|
29 | 10 | 10 | 9 | +8 | +17.1 | 40 |
| 10 |
Reims
|
30 | 11 | 7 | 12 | -4 | +2.1 | 40 |
| 11 |
Toulouse
|
30 | 9 | 10 | 11 | -3 | -7.5 | 37 |
| 12 |
Montpellier
|
30 | 9 | 10 | 11 | -4 | +2.3 | 37 |
| 13 |
Strasbourg
|
30 | 9 | 9 | 12 | -8 | -1.2 | 36 |
| 14 |
Nantes
|
30 | 9 | 4 | 17 | -20 | -15.8 | 31 |
| 15 |
Metz
|
30 | 8 | 5 | 17 | -18 | -19.1 | 29 |
| 16 |
Le Havre
|
30 | 6 | 10 | 14 | -11 | -11.5 | 28 |
| 17 |
Lorient
|
30 | 6 | 8 | 16 | -23 | -17.7 | 26 |
| 18 |
Clermont
|
30 | 4 | 10 | 16 | -28 | -25.6 | 22 |
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.
Pau López
G
L. Balerdi
D
U. Garcia
D
J. Clauss
M
A. Harit
M
G. Kondogbia
M
Luis Henrique
M
F. Moumbagna
F
P. Aubameyang
F
Coach: J. Gasset
A. Mendy
D
J. Todibo
D
M. Bard
D
P. Rosario
M
K. Thuram
M
M. Cho
F
T. Moffi
F
J. Boga
F
Coach: F. Farioli
Green columns are the outcomes that came in.
Toulouse
Marseille
Marseille
Benfica
Benfica
Marseille
Lille
Marseille
Marseille
Paris SG
J Pignard · 145 kamper i vår database
🟥 Red cards: 0,29 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.