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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Montpellier
Lyon
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
|
21 | 15 | 5 | 1 | +33 | +20.1 | 50 |
| 2 |
Nice
|
20 | 11 | 6 | 3 | +9 | +9.6 | 39 |
| 3 |
Brest
|
21 | 10 | 7 | 4 | +12 | +6.0 | 37 |
| 4 |
Lille
|
21 | 9 | 8 | 4 | +12 | +9.4 | 35 |
| 5 |
Monaco
|
20 | 10 | 5 | 5 | +9 | +5.1 | 35 |
| 6 |
Lens
|
21 | 10 | 5 | 6 | +7 | +1.4 | 35 |
| 7 |
Rennes
|
21 | 8 | 7 | 6 | +6 | +7.8 | 31 |
| 8 |
Marseille
|
21 | 7 | 9 | 5 | +6 | +15.4 | 30 |
| 9 |
Reims
|
21 | 9 | 3 | 9 | -2 | +3.7 | 30 |
| 10 |
Strasbourg
|
21 | 6 | 7 | 8 | -7 | -2.2 | 25 |
| 11 |
Le Havre
|
21 | 5 | 9 | 7 | -2 | -7.3 | 24 |
| 12 |
Nantes
|
21 | 6 | 4 | 11 | -10 | -9.0 | 22 |
| 13 |
Montpellier
|
20 | 4 | 8 | 8 | -5 | -0.4 | 20 |
| 14 |
Toulouse
|
21 | 4 | 8 | 9 | -9 | -10.0 | 20 |
| 15 |
Lyon
|
20 | 5 | 4 | 11 | -13 | -5.2 | 19 |
| 16 |
Lorient
|
21 | 4 | 7 | 10 | -14 | -12.5 | 19 |
| 17 |
Metz
|
21 | 4 | 5 | 12 | -14 | -16.0 | 17 |
| 18 |
Clermont
|
21 | 3 | 7 | 11 | -18 | -15.9 | 16 |
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.
B. Lecomte
G
B. Omeragić
D
M. Sagnan
D
J. Chotard
M
T. Savanier
M
A. Nordin
F
A. Adams
F
Coach: M. Der Zakarian
Anthony Lopes
G
A. Maitland-Niles
D
J. O'Brien
D
D. Ćaleta-Car
D
N. Tagliafico
D
M. Caqueret
M
N. Matić
M
C. Tolisso
M
E. Nuamah
F
Coach: P. Sage
Green columns are the outcomes that came in.
Montpellier
Nice
Rennes
Montpellier
Montpellier
Lille
Feignies-Aulnoye
Montpellier
Brest
Montpellier
P Gaillouste · 98 kamper i vår database
🟥 Red cards: 0,30 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.