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
Strasbourg
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
|
17 | 12 | 4 | 1 | +28 | +18.2 | 40 |
| 2 |
Nice
|
17 | 10 | 5 | 2 | +10 | +9.2 | 35 |
| 3 |
Monaco
|
17 | 10 | 3 | 4 | +11 | +6.2 | 33 |
| 4 |
Brest
|
17 | 9 | 4 | 4 | +10 | +3.7 | 31 |
| 5 |
Lille
|
17 | 7 | 7 | 3 | +7 | +6.5 | 28 |
| 6 |
Marseille
|
17 | 7 | 6 | 4 | +7 | +13.4 | 27 |
| 7 |
Lens
|
17 | 7 | 5 | 5 | +4 | +1.4 | 26 |
| 8 |
Reims
|
17 | 8 | 2 | 7 | -1 | +3.2 | 26 |
| 9 |
Strasbourg
|
17 | 6 | 5 | 6 | -4 | -2.6 | 23 |
| 10 |
Rennes
|
17 | 4 | 7 | 6 | +1 | +6.0 | 19 |
| 11 |
Montpellier
|
17 | 4 | 7 | 6 | -2 | +3.1 | 19 |
| 12 |
Le Havre
|
17 | 4 | 7 | 6 | -3 | -7.2 | 19 |
| 13 |
Nantes
|
17 | 5 | 3 | 9 | -9 | -8.6 | 18 |
| 14 |
Lyon
|
17 | 4 | 4 | 9 | -11 | -6.0 | 16 |
| 15 |
Metz
|
17 | 4 | 4 | 9 | -11 | -12.3 | 16 |
| 16 |
Toulouse
|
17 | 2 | 8 | 7 | -8 | -10.7 | 14 |
| 17 |
Lorient
|
17 | 2 | 6 | 9 | -14 | -10.8 | 12 |
| 18 |
Clermont
|
17 | 2 | 5 | 10 | -15 | -12.6 | 11 |
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
B. Meïté
D
L. Balerdi
D
J. Clauss
M
B. Nadir
M
G. Kondogbia
M
A. Murillo
M
Vítinha
F
P. Aubameyang
F
Coach: G. Gattuso
M. Sels
G
L. Perrin
D
A. Sylla
D
F. Guilbert
D
J. Mwanga
M
Ibrahima Sissoko
M
D. Bakwa
M
H. Diarra
M
Coach: P. Vieira
Green columns are the outcomes that came in.
Thionville Lusitanos
Marseille
Montpellier
Marseille
Marseille
Clermont
Brighton
Marseille
Lorient
Marseille
M Bollengier · 79 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.