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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Nice
Clermont
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
|
22 | 16 | 5 | 1 | +35 | +20.5 | 53 |
| 2 |
Brest
|
23 | 12 | 7 | 4 | +16 | +8.8 | 43 |
| 3 |
Monaco
|
23 | 12 | 5 | 6 | +10 | +4.2 | 41 |
| 4 |
Nice
|
22 | 11 | 6 | 5 | +7 | +9.8 | 39 |
| 5 |
Lille
|
22 | 10 | 8 | 4 | +15 | +12.6 | 38 |
| 6 |
Lens
|
23 | 10 | 6 | 7 | +6 | +2.1 | 36 |
| 7 |
Rennes
|
22 | 9 | 7 | 6 | +8 | +10.7 | 34 |
| 8 |
Reims
|
22 | 9 | 4 | 9 | -2 | +3.6 | 31 |
| 9 |
Marseille
|
22 | 7 | 9 | 6 | +5 | +14.2 | 30 |
| 10 |
Lyon
|
23 | 8 | 4 | 11 | -10 | -5.5 | 28 |
| 11 |
Nantes
|
23 | 7 | 4 | 12 | -11 | -9.4 | 25 |
| 12 |
Strasbourg
|
23 | 6 | 7 | 10 | -12 | -4.4 | 25 |
| 13 |
Le Havre
|
22 | 5 | 9 | 8 | -5 | -10.5 | 24 |
| 14 |
Montpellier
|
22 | 5 | 8 | 9 | -3 | +1.7 | 23 |
| 15 |
Toulouse
|
22 | 5 | 8 | 9 | -8 | -10.2 | 23 |
| 16 |
Lorient
|
23 | 5 | 7 | 11 | -13 | -11.8 | 22 |
| 17 |
Metz
|
23 | 4 | 5 | 14 | -18 | -17.7 | 17 |
| 18 |
Clermont
|
22 | 3 | 7 | 12 | -20 | -18.8 | 16 |
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.
J. Lotomba
D
J. Todibo
D
M. Bard
D
H. Boudaoui
M
K. Thuram
M
A. Claude-Maurice
M
M. Cho
F
E. Guessand
F
J. Boga
F
Coach: F. Farioli
M. Diaw
G
A. Pelmard
D
C. Matsima
D
Neto Borges
D
B. Boutobba
M
J. Allevinah
M
Coach: P. Gastien
Green columns are the outcomes that came in.
Lyon
Nice
Nice
Monaco
Montpellier
Nice
Brest
Nice
Nice
Metz
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.