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
Monaco
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
34 | 23 | 3 | 8 | +51 | 72 |
| 2 |
Lille
|
33 | 20 | 10 | 3 | +34 | 70 |
| 3 |
Monaco
|
33 | 21 | 5 | 7 | +32 | 68 |
| 4 |
Lyon
|
33 | 19 | 10 | 4 | +33 | 67 |
| 5 |
Lens
|
34 | 15 | 11 | 8 | +8 | 56 |
| 6 |
Marseille
|
34 | 15 | 10 | 9 | +7 | 55 |
| 7 |
Rennes
|
34 | 15 | 9 | 10 | +12 | 54 |
| 8 |
Montpellier
|
34 | 12 | 11 | 11 | -3 | 47 |
| 9 |
Nice
|
34 | 13 | 7 | 14 | -1 | 46 |
| 10 |
Metz
|
34 | 11 | 10 | 13 | -4 | 43 |
| 11 |
Reims
|
34 | 9 | 14 | 11 | -2 | 41 |
| 12 |
Angers
|
33 | 11 | 8 | 14 | -16 | 41 |
| 13 |
Brest
|
34 | 11 | 7 | 16 | -10 | 40 |
| 14 |
St Etienne
|
34 | 10 | 9 | 15 | -13 | 39 |
| 15 |
Strasbourg
|
34 | 10 | 7 | 17 | -10 | 37 |
| 16 |
Bordeaux
|
34 | 10 | 6 | 18 | -16 | 36 |
| 17 |
Lorient
|
34 | 9 | 8 | 17 | -18 | 35 |
| 18 |
Nantes
|
34 | 6 | 13 | 15 | -17 | 31 |
| 19 |
Nimes
|
34 | 8 | 7 | 19 | -29 | 31 |
| 20 |
Dijon
|
34 | 3 | 9 | 22 | -38 | 18 |
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.
L. Coulibaly
M
Coach: S. Moulin
B. Lecomte
G
D. Sidibé
D
R. Aguilar
M
A. Disasi
D
Caio Henrique
D
A. Golovin
M
A. Tchouaméni
M
Y. Fofana
M
Coach: N. Kovač
Green columns are the outcomes that came in.
Angers
Rennes
Lyon
Angers
Angers
Montpellier
Brest
Angers
Angers
St Etienne
H Ben El Hadj · 128 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.