Serie A
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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Napoli
Sassuolo
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: 3–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Napoli
|
11 | 9 | 2 | 0 | +17 | 29 |
| 2 |
Milan
|
11 | 8 | 2 | 1 | +13 | 26 |
| 3 |
Lazio
|
11 | 7 | 3 | 1 | +18 | 24 |
| 4 |
Atalanta
|
11 | 7 | 3 | 1 | +8 | 24 |
| 5 |
Roma
|
11 | 7 | 1 | 3 | +3 | 22 |
| 6 |
Udinese
|
11 | 6 | 3 | 2 | +8 | 21 |
| 7 |
Inter
|
11 | 7 | 0 | 4 | +5 | 21 |
| 8 |
Juventus
|
11 | 5 | 4 | 2 | +10 | 19 |
| 9 |
Sassuolo
|
11 | 4 | 3 | 4 | +1 | 15 |
| 10 |
Torino
|
11 | 4 | 2 | 5 | -3 | 14 |
| 11 |
Salernitana
|
11 | 3 | 4 | 4 | -3 | 13 |
| 12 |
Empoli
|
11 | 2 | 5 | 4 | -6 | 11 |
| 13 |
Bologna
|
11 | 2 | 4 | 5 | -5 | 10 |
| 14 |
Fiorentina
|
11 | 2 | 4 | 5 | -5 | 10 |
| 15 |
Monza
|
11 | 3 | 1 | 7 | -9 | 10 |
| 16 |
Spezia
|
11 | 2 | 3 | 6 | -11 | 9 |
| 17 |
Lecce
|
11 | 1 | 5 | 5 | -5 | 8 |
| 18 |
Sampdoria
|
11 | 1 | 3 | 7 | -12 | 6 |
| 19 |
Verona
|
11 | 1 | 2 | 8 | -11 | 5 |
| 20 |
Cremonese
|
11 | 0 | 4 | 7 | -13 | 4 |
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. Meret
G
G. Di Lorenzo
D
Juan Jesus
D
Kim Min-Jae
D
A. Zambo Anguissa
M
S. Lobotka
M
P. Zieliński
M
V. Osimhen
F
K. Kvaratskhelia
F
Coach: L. Spalletti
J. Toljan
D
M. Erlić
D
D. Frattesi
M
M. Lopez
M
K. Thorstvedt
M
E. Ceïde
F
A. Pinamonti
F
A. Laurienté
F
Coach: A. Dionisi
Green columns are the outcomes that came in.
Napoli
Rangers
Roma
Napoli
Napoli
Bologna
Napoli
Ajax
Cremonese
Napoli
A Rapuano · 81 kamper i vår database
🟥 Red cards: 0,32 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.