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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Reims
Ajaccio
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
|
26 | 20 | 3 | 3 | +41 | +3.0 | 63 |
| 2 |
Marseille
|
25 | 16 | 4 | 5 | +23 | +1.8 | 52 |
| 3 |
Monaco
|
26 | 15 | 6 | 5 | +19 | +4.6 | 51 |
| 4 |
Lens
|
26 | 14 | 9 | 3 | +19 | +3.5 | 51 |
| 5 |
Rennes
|
25 | 14 | 4 | 7 | +17 | +0.2 | 46 |
| 6 |
Lille
|
26 | 13 | 6 | 7 | +13 | +5.5 | 45 |
| 7 |
Nice
|
26 | 11 | 9 | 6 | +12 | +2.5 | 42 |
| 8 |
Lorient
|
25 | 11 | 6 | 8 | +2 | -1.0 | 39 |
| 9 |
Lyon
|
25 | 11 | 5 | 9 | +11 | +1.3 | 38 |
| 10 |
Reims
|
25 | 8 | 13 | 4 | +7 | +7.6 | 37 |
| 11 |
Toulouse
|
25 | 9 | 5 | 11 | -4 | +0.2 | 32 |
| 12 |
Clermont
|
25 | 8 | 7 | 10 | -9 | -3.5 | 31 |
| 13 |
Nantes
|
26 | 6 | 10 | 10 | -7 | -2.7 | 28 |
| 14 |
Montpellier
|
25 | 8 | 3 | 14 | -10 | -3.0 | 27 |
| 15 |
Strasbourg
|
25 | 4 | 10 | 11 | -13 | -3.2 | 22 |
| 16 |
Auxerre
|
26 | 5 | 7 | 14 | -26 | +2.2 | 22 |
| 17 |
Ajaccio
|
25 | 6 | 3 | 16 | -26 | +0.9 | 21 |
| 18 |
Brest
|
25 | 4 | 8 | 13 | -16 | -5.3 | 20 |
| 19 |
Troyes
|
26 | 4 | 8 | 14 | -21 | -10.4 | 20 |
| 20 |
Angers
|
25 | 2 | 4 | 19 | -32 | -4.2 | 10 |
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.
Y. Diouf
G
C. Keita
D
T. De Smet
D
J. Ito
M
M. Munetsi
M
F. Balogun
F
Coach: W. Still
C. Vidal
D
M. Barreto
M
Coach: O. Pantaloni
Green columns are the outcomes that came in.
Reims
Toulouse
Nice
Reims
Reims
Troyes
Toulouse
Reims
Auxerre
Reims
P Gaillouste · 98 kamper i vår database
🟥 Red cards: 0,30 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.