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
Paris SG
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
28 | 20 | 5 | 3 | +35 | 65 |
| 2 |
Nice
|
28 | 15 | 6 | 7 | +17 | 51 |
| 3 |
Marseille
|
28 | 14 | 8 | 6 | +17 | 50 |
| 4 |
Rennes
|
28 | 15 | 4 | 9 | +30 | 49 |
| 5 |
Strasbourg
|
28 | 13 | 8 | 7 | +18 | 47 |
| 6 |
Lille
|
29 | 12 | 10 | 7 | +3 | 46 |
| 7 |
Lens
|
29 | 12 | 8 | 9 | +6 | 44 |
| 8 |
Nantes
|
29 | 12 | 6 | 11 | +5 | 42 |
| 9 |
Lyon
|
28 | 11 | 9 | 8 | +3 | 42 |
| 10 |
Monaco
|
28 | 11 | 8 | 9 | +10 | 41 |
| 11 |
Montpellier
|
28 | 11 | 5 | 12 | +1 | 38 |
| 12 |
Reims
|
28 | 8 | 11 | 9 | +1 | 35 |
| 13 |
Brest
|
28 | 9 | 8 | 11 | -6 | 35 |
| 14 |
Angers
|
28 | 7 | 8 | 13 | -10 | 29 |
| 15 |
Troyes
|
29 | 7 | 8 | 14 | -15 | 29 |
| 16 |
Clermont
|
29 | 7 | 7 | 15 | -23 | 28 |
| 17 |
Lorient
|
28 | 6 | 9 | 13 | -19 | 27 |
| 18 |
St Etienne
|
29 | 6 | 9 | 14 | -22 | 27 |
| 19 |
Metz
|
28 | 4 | 11 | 13 | -21 | 23 |
| 20 |
Bordeaux
|
28 | 4 | 10 | 14 | -30 | 22 |
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
R. Aguilar
D
A. Disasi
D
Caio Henrique
D
B. Badiashile
D
Gelson Martins
M
A. Golovin
M
A. Tchouaméni
M
Y. Fofana
M
Coach: P. Clement
G. Donnarumma
G
Marquinhos
D
A. Hakimi
D
Nuno Mendes
D
K. Mbappé
F
Coach: M. Pochettino
Green columns are the outcomes that came in.
Strasbourg
Monaco
Marseille
Monaco
Monaco
Reims
Bordeaux
Monaco
Monaco
Lorient
B Bastien · 180 kamper i vår database
🟥 Red cards: 0,22 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.