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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Angers
Lille
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
29 | 21 | 3 | 5 | +39 | +4.7 | 66 |
| 2 |
Lens
|
30 | 18 | 9 | 3 | +28 | +6.0 | 63 |
| 3 |
Marseille
|
29 | 18 | 6 | 5 | +25 | +2.0 | 60 |
| 4 |
Monaco
|
29 | 17 | 6 | 6 | +21 | +3.9 | 57 |
| 5 |
Lille
|
29 | 15 | 7 | 7 | +17 | +8.1 | 52 |
| 6 |
Rennes
|
29 | 15 | 5 | 9 | +17 | -1.3 | 50 |
| 7 |
Reims
|
29 | 11 | 13 | 5 | +11 | +10.3 | 46 |
| 8 |
Nice
|
29 | 11 | 12 | 6 | +12 | +3.3 | 45 |
| 9 |
Lyon
|
29 | 12 | 8 | 9 | +12 | +1.2 | 44 |
| 10 |
Lorient
|
29 | 12 | 8 | 9 | +2 | -3.3 | 44 |
| 11 |
Montpellier
|
29 | 11 | 4 | 14 | -3 | +0.8 | 37 |
| 12 |
Clermont
|
29 | 10 | 7 | 12 | -12 | -4.1 | 37 |
| 13 |
Toulouse
|
29 | 10 | 5 | 14 | -7 | +1.1 | 35 |
| 14 |
Nantes
|
29 | 6 | 12 | 11 | -10 | -2.8 | 30 |
| 15 |
Brest
|
29 | 6 | 9 | 14 | -14 | -7.5 | 27 |
| 16 |
Strasbourg
|
30 | 5 | 11 | 14 | -14 | -0.3 | 26 |
| 17 |
Auxerre
|
29 | 6 | 8 | 15 | -27 | -0.1 | 26 |
| 18 |
Troyes
|
29 | 4 | 9 | 16 | -24 | -11.4 | 21 |
| 19 |
Ajaccio
|
29 | 6 | 3 | 20 | -31 | -2.4 | 21 |
| 20 |
Angers
|
29 | 2 | 5 | 22 | -42 | -8.0 | 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.
N. Bentaleb
M
H. Abdelli
F
Coach: A. Dujeux
L. Chevalier
G
T. Weah
D
Alexsandro Ribeiro
D
G. Gudmundsson
D
B. André
M
A. Gomes
M
J. David
F
Coach: Paulo Fonseca
Green columns are the outcomes that came in.
Angers
Nice
Lens
Angers
Angers
Toulouse
Montpellier
Angers
Angers
Lyon
M Vernice · 76 kamper i vår database
🟥 Red cards: 0,28 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.