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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Monaco
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: 2–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
31 | 23 | 3 | 5 | +43 | +3.7 | 72 |
| 2 |
Lens
|
31 | 18 | 9 | 4 | +26 | +6.6 | 63 |
| 3 |
Marseille
|
30 | 18 | 7 | 5 | +25 | +2.5 | 61 |
| 4 |
Monaco
|
30 | 17 | 7 | 6 | +21 | +4.1 | 58 |
| 5 |
Lille
|
31 | 16 | 7 | 8 | +17 | +10.5 | 55 |
| 6 |
Rennes
|
31 | 16 | 5 | 10 | +18 | +1.3 | 53 |
| 7 |
Lyon
|
31 | 14 | 8 | 9 | +15 | +2.2 | 50 |
| 8 |
Reims
|
31 | 11 | 14 | 6 | +8 | +9.9 | 47 |
| 9 |
Nice
|
31 | 11 | 12 | 8 | +9 | +3.2 | 45 |
| 10 |
Lorient
|
30 | 12 | 9 | 9 | +2 | -3.8 | 45 |
| 11 |
Clermont
|
31 | 12 | 7 | 12 | -9 | -1.4 | 43 |
| 12 |
Toulouse
|
31 | 11 | 5 | 15 | -7 | +0.2 | 38 |
| 13 |
Montpellier
|
31 | 11 | 4 | 16 | -5 | -1.1 | 37 |
| 14 |
Auxerre
|
31 | 8 | 8 | 15 | -23 | +1.2 | 32 |
| 15 |
Nantes
|
31 | 6 | 13 | 12 | -11 | -4.7 | 31 |
| 16 |
Brest
|
31 | 7 | 10 | 14 | -13 | -9.2 | 31 |
| 17 |
Strasbourg
|
31 | 6 | 11 | 14 | -12 | +0.9 | 29 |
| 18 |
Troyes
|
30 | 4 | 9 | 17 | -26 | -12.3 | 21 |
| 19 |
Ajaccio
|
31 | 6 | 3 | 22 | -36 | -3.3 | 21 |
| 20 |
Angers
|
31 | 3 | 5 | 23 | -42 | -10.5 | 14 |
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.
A. Nübel
G
Vanderson
D
A. Disasi
D
Caio Henrique
D
Y. Fofana
M
A. Golovin
M
Coach: P. Clement
B. Meité
D
M. Talbi
D
J. Ponceau
M
J. Makengo
M
Y. Cathline
M
Coach: R. Le Bris
Green columns are the outcomes that came in.
Nantes
Monaco
Monaco
Strasbourg
Ajaccio
Monaco
Monaco
Reims
Troyes
Monaco
B Dechepy · 111 kamper i vår database
🟥 Red cards: 0,26 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.