Serie A
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Inter
Napoli
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 |
Como
|
3 | 2 | 1 | 0 | +4 | -1.0 | 7 |
| 2 |
Roma
|
2 | 2 | 0 | 0 | +8 | +5.3 | 6 |
| 3 |
Inter
|
2 | 2 | 0 | 0 | +4 | +3.0 | 6 |
| 4 |
Milan
|
2 | 2 | 0 | 0 | +3 | +2.3 | 6 |
| 5 |
Juventus
|
2 | 2 | 0 | 0 | +3 | +3.1 | 6 |
| 6 |
Atalanta
|
2 | 2 | 0 | 0 | +2 | -2.7 | 6 |
| 7 |
Lazio
|
2 | 2 | 0 | 0 | +2 | +0.0 | 6 |
| 8 |
Udinese
|
2 | 1 | 1 | 0 | +1 | -0.1 | 4 |
| 9 |
Frosinone
|
2 | 1 | 0 | 1 | +2 | -2.8 | 3 |
| 10 |
Napoli
|
2 | 1 | 0 | 1 | +1 | +0.4 | 3 |
| 11 |
Sassuolo
|
2 | 1 | 0 | 1 | +0 | +2.4 | 3 |
| 12 |
Cagliari
|
2 | 1 | 0 | 1 | +0 | -3.0 | 3 |
| 13 |
Torino
|
3 | 1 | 0 | 2 | -1 | -1.5 | 3 |
| 14 |
Lecce
|
2 | 1 | 0 | 1 | -2 | -2.0 | 3 |
| 15 |
Bologna
|
2 | 0 | 0 | 2 | -2 | +2.0 | 0 |
| 16 |
Parma
|
2 | 0 | 0 | 2 | -3 | -1.5 | 0 |
| 17 |
Monza
|
2 | 0 | 0 | 2 | -4 | +0.9 | 0 |
| 18 |
Venezia
|
2 | 0 | 0 | 2 | -4 | -2.1 | 0 |
| 19 |
Genoa
|
3 | 0 | 0 | 3 | -6 | -1.3 | 0 |
| 20 |
Fiorentina
|
3 | 0 | 0 | 3 | -8 | -1.7 | 0 |
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.
Josep Martínez
G
Y. Bisseck
D
M. Akanji
D
A. Bastoni
D
A. Diouf
M
N. Barella
M
P. Zieliński
M
P. Sučić
M
F. Dimarco
D
F. Esposito
F
Lautaro Martínez
F
Coach: C. Chivu
A. Meret
G
G. Di Lorenzo
D
Amir Rrahmani
D
Rafa Marín
D
L. Spinazzola
D
A. Zambo Anguissa
M
S. Lobotka
M
A. Vergara
M
M. Politano
F
R. Højlund
F
Alisson Santos
F
Coach: M. Allegri
Green columns are the outcomes that came in.
Cagliari
Inter
Inter
Monza
Bologna
Inter
Inter
Verona
Lazio
Inter
Simone Sozza · 17 kamper i vår database
🟥 Red cards: 0,35 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.