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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Metz
Rennes
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
|
13 | 9 | 3 | 1 | +16 | +11.7 | 30 |
| 2 |
Marseille
|
13 | 9 | 1 | 3 | +21 | +12.1 | 28 |
| 3 |
Lens
|
13 | 9 | 1 | 3 | +11 | +4.5 | 28 |
| 4 |
Lille
|
13 | 7 | 2 | 4 | +10 | +9.5 | 23 |
| 5 |
Strasbourg
|
13 | 7 | 1 | 5 | +7 | +7.1 | 22 |
| 6 |
Rennes
|
13 | 5 | 6 | 2 | +5 | -0.2 | 21 |
| 7 |
Lyon
|
13 | 6 | 3 | 4 | +3 | +5.8 | 21 |
| 8 |
Monaco
|
13 | 6 | 2 | 5 | +0 | +4.9 | 20 |
| 9 |
Nice
|
13 | 5 | 2 | 6 | -5 | -9.9 | 17 |
| 10 |
Toulouse
|
13 | 4 | 4 | 5 | +1 | +1.9 | 16 |
| 11 |
Angers
|
13 | 4 | 4 | 5 | -4 | -12.1 | 16 |
| 12 |
Paris FC
|
13 | 4 | 2 | 7 | -5 | -3.8 | 14 |
| 13 |
Le Havre
|
13 | 3 | 5 | 5 | -7 | -1.7 | 14 |
| 14 |
Brest
|
13 | 3 | 4 | 6 | -6 | +0.4 | 13 |
| 15 |
Nantes
|
13 | 2 | 5 | 6 | -7 | -11.0 | 11 |
| 16 |
Lorient
|
13 | 2 | 5 | 6 | -12 | -2.8 | 11 |
| 17 |
Metz
|
13 | 3 | 2 | 8 | -16 | -11.0 | 11 |
| 18 |
Auxerre
|
13 | 2 | 2 | 9 | -12 | -5.5 | 8 |
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.
J. Fischer
G
M. Colin
D
T. Yegbe
D
G. Tsitaishvili
M
J. Deminguet
M
B. Traore
M
G. Hein
F
I. Sane
F
Coach: Stéphane Le Mignan
B. Samba
G
A. Ait Boudlal
D
J. Jacquet
D
L. Brassier
D
P. Frankowski
M
M. Camara
M
V. Rongier
M
M. Tamari
M
E. Lepaul
F
Coach: Habib Bèye
Green columns are the outcomes that came in.
Brest
Metz
Metz
Nice
Nantes
Metz
Metz
Lens
Lille
Metz
Jeremy Stinat · 13 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.