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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Ajaccio
Lyon
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
19 | 15 | 2 | 2 | +34 | – | 47 |
| 2 |
Lens
|
20 | 13 | 6 | 1 | +19 | +1.7 | 45 |
| 3 |
Marseille
|
20 | 13 | 4 | 3 | +23 | -0.1 | 43 |
| 4 |
Monaco
|
20 | 11 | 5 | 4 | +16 | +0.1 | 38 |
| 5 |
Rennes
|
20 | 11 | 4 | 5 | +15 | +0.6 | 37 |
| 6 |
Lorient
|
20 | 10 | 5 | 5 | +3 | -0.6 | 35 |
| 7 |
Lille
|
20 | 10 | 4 | 6 | +9 | +0.3 | 34 |
| 8 |
Clermont
|
20 | 8 | 5 | 7 | -3 | +0.9 | 29 |
| 9 |
Nice
|
20 | 7 | 7 | 6 | +3 | -0.3 | 28 |
| 10 |
Toulouse
|
20 | 7 | 5 | 8 | -4 | +0.2 | 26 |
| 11 |
Lyon
|
19 | 7 | 4 | 8 | +5 | – | 25 |
| 12 |
Reims
|
19 | 5 | 10 | 4 | -2 | – | 25 |
| 13 |
Nantes
|
20 | 4 | 10 | 6 | -3 | -0.9 | 22 |
| 14 |
Montpellier
|
20 | 6 | 2 | 12 | -10 | -1.1 | 20 |
| 15 |
Troyes
|
20 | 4 | 7 | 9 | -10 | -1.7 | 19 |
| 16 |
Brest
|
20 | 4 | 6 | 10 | -11 | +0.9 | 18 |
| 17 |
Strasbourg
|
20 | 2 | 9 | 9 | -11 | -0.2 | 15 |
| 18 |
Ajaccio
|
19 | 4 | 3 | 12 | -18 | – | 15 |
| 19 |
Auxerre
|
20 | 3 | 4 | 13 | -27 | +1.1 | 13 |
| 20 |
Angers
|
20 | 2 | 2 | 16 | -28 | -0.9 | 8 |
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.
V. Marchetti
M
Coach: O. Pantaloni
Anthony Lopes
G
S. Kumbedi
D
S. Diomandé
D
N. Tagliafico
D
J. Lepenant
M
R. Cherki
M
M. Caqueret
M
C. Tolisso
M
B. Barcola
M
Coach: L. Blanc
Green columns are the outcomes that came in.
Toulouse
Ajaccio
Monaco
Ajaccio
Ajaccio
Reims
Jura Sud Foot
Ajaccio
Toulouse
Ajaccio
T Léonard · 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.