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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Nice
Lorient
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: 2–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
23 | 17 | 3 | 3 | +33 | +25.9 | 54 |
| 2 |
Lens
|
23 | 17 | 1 | 5 | +24 | +14.9 | 52 |
| 3 |
Lyon
|
22 | 14 | 3 | 5 | +16 | +10.4 | 45 |
| 4 |
Marseille
|
23 | 12 | 4 | 7 | +17 | +9.2 | 40 |
| 5 |
Rennes
|
23 | 10 | 7 | 6 | +2 | -1.5 | 37 |
| 6 |
Lille
|
22 | 10 | 4 | 8 | +4 | +7.0 | 34 |
| 7 |
Monaco
|
23 | 10 | 4 | 9 | +2 | +5.5 | 34 |
| 8 |
Strasbourg
|
22 | 9 | 4 | 9 | +7 | +7.5 | 31 |
| 9 |
Toulouse
|
23 | 8 | 7 | 8 | +6 | +4.1 | 31 |
| 10 |
Lorient
|
22 | 8 | 7 | 7 | -4 | +0.1 | 31 |
| 11 |
Brest
|
23 | 8 | 6 | 9 | -3 | +0.8 | 30 |
| 12 |
Angers
|
22 | 8 | 5 | 9 | -5 | -12.9 | 29 |
| 13 |
Le Havre
|
22 | 6 | 8 | 8 | -7 | -6.4 | 26 |
| 14 |
Nice
|
22 | 6 | 5 | 11 | -13 | -11.3 | 23 |
| 15 |
Paris FC
|
23 | 5 | 8 | 10 | -13 | -12.3 | 23 |
| 16 |
Auxerre
|
23 | 4 | 5 | 14 | -16 | -7.6 | 17 |
| 17 |
Nantes
|
22 | 3 | 5 | 14 | -20 | -13.1 | 14 |
| 18 |
Metz
|
23 | 3 | 4 | 16 | -30 | -20.1 | 13 |
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.
M. Dupe
G
A. Mendy
D
K. Peprah
D
A. Abdi
D
C. Vanhoutte
M
M. Cho
M
S. Diop
M
T. Louchet
M
Kevin
F
Coach: Claude Puel
Y. Mvogo
G
M. Talbi
D
D. Yongwa
D
T. Le Bris
M
N. Cadiou
M
A. Kouassi
M
D. Karim
F
P. Pagis
F
Coach: Olivier Pantaloni
Green columns are the outcomes that came in.
Lyon
Nice
Nice
Monaco
Nice
Montpellier
Nice
Brest
Ludogorets
Nice
J Stinat · 142 kamper i vår database
🟥 Red cards: 0,23 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.