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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St Etienne
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
|
23 | 18 | 5 | 0 | +40 | +38.2 | 59 |
| 2 |
Marseille
|
23 | 14 | 4 | 5 | +21 | +12.5 | 46 |
| 3 |
Nice
|
23 | 12 | 7 | 4 | +19 | +14.5 | 43 |
| 4 |
Monaco
|
24 | 13 | 4 | 7 | +17 | +27.6 | 43 |
| 5 |
Lille
|
23 | 11 | 8 | 4 | +15 | +8.6 | 41 |
| 6 |
Lyon
|
23 | 10 | 6 | 7 | +12 | +6.0 | 36 |
| 7 |
Strasbourg
|
23 | 9 | 7 | 7 | +5 | -4.9 | 34 |
| 8 |
Lens
|
23 | 9 | 6 | 8 | +1 | +4.4 | 33 |
| 9 |
Brest
|
23 | 10 | 3 | 10 | -3 | -9.6 | 33 |
| 10 |
Toulouse
|
23 | 8 | 6 | 9 | +1 | +8.4 | 30 |
| 11 |
Auxerre
|
23 | 7 | 7 | 9 | -3 | -11.4 | 28 |
| 12 |
Angers
|
23 | 7 | 6 | 10 | -8 | -6.4 | 27 |
| 13 |
Rennes
|
23 | 8 | 2 | 13 | -2 | +1.8 | 26 |
| 14 |
Nantes
|
23 | 5 | 9 | 9 | -12 | -9.1 | 24 |
| 15 |
Reims
|
24 | 5 | 7 | 12 | -12 | -16.6 | 22 |
| 16 |
St Etienne
|
23 | 5 | 4 | 14 | -30 | -29.4 | 19 |
| 17 |
Le Havre
|
23 | 5 | 2 | 16 | -28 | -16.8 | 17 |
| 18 |
Montpellier
|
23 | 4 | 3 | 16 | -33 | -17.9 | 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.
G. Larsonneur
G
Y. Maçon
D
L. Pétrot
D
F. Tardieu
M
A. Moueffek
M
I. Cardona
M
B. Bouchouari
M
Z. Davitashvili
M
L. Stassin
F
Coach: E. Horneland
Y. Ndayishimiye
D
J. Clauss
M
P. Rosario
M
B. Santamaría
M
M. Bard
M
E. Guessand
F
M. Cho
F
Coach: F. Haise
Green columns are the outcomes that came in.
St Etienne
Angers
Marseille
St Etienne
St Etienne
Rennes
Lille
St Etienne
Auxerre
St Etienne
J Brisard · 168 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.