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.
Unlock with ProAlready have an account? Log in
Milan
Frosinone
Expected goals, over/under and both teams to score — priced by the model before kick-off.
Unlock with ProAlready have an account? Log in
The model's top final scores with the best bookmaker odds.
Unlock with ProAlready have an account? Log in
Half-time score: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Juventus
|
36 | 28 | 5 | 3 | +42 | 89 |
| 2 |
Napoli
|
36 | 23 | 7 | 6 | +36 | 76 |
| 3 |
Inter
|
36 | 19 | 9 | 8 | +26 | 66 |
| 4 |
Atalanta
|
36 | 19 | 8 | 9 | +29 | 65 |
| 5 |
Roma
|
37 | 17 | 12 | 8 | +17 | 63 |
| 6 |
Milan
|
36 | 17 | 11 | 8 | +16 | 62 |
| 7 |
Torino
|
37 | 15 | 15 | 7 | +13 | 60 |
| 8 |
Lazio
|
36 | 17 | 7 | 12 | +12 | 58 |
| 9 |
Sampdoria
|
37 | 14 | 8 | 15 | +7 | 50 |
| 10 |
Sassuolo
|
37 | 9 | 16 | 12 | -5 | 43 |
| 11 |
Spal
|
37 | 11 | 9 | 17 | -11 | 42 |
| 12 |
Cagliari
|
37 | 10 | 11 | 16 | -17 | 41 |
| 13 |
Parma
|
37 | 10 | 11 | 16 | -19 | 41 |
| 14 |
Fiorentina
|
37 | 8 | 16 | 13 | +2 | 40 |
| 15 |
Bologna
|
36 | 10 | 10 | 16 | -9 | 40 |
| 16 |
Udinese
|
37 | 10 | 10 | 17 | -15 | 40 |
| 17 |
Empoli
|
37 | 10 | 8 | 19 | -18 | 38 |
| 18 |
Genoa
|
37 | 8 | 13 | 16 | -18 | 37 |
| 19 |
Frosinone
|
36 | 5 | 9 | 22 | -38 | 24 |
| 20 |
Chievo
|
37 | 2 | 13 | 22 | -50 | 19 |
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.
G. Donnarumma
G
R. Rodríguez
D
A. Romagnoli
D
H. Çalhanoğlu
M
F. Kessié
M
Suso
F
Coach: G. Gattuso
F. Bardi
G
N. Brighenti
D
F. Zampano
M
E. Goldaniga
D
Coach: M. Baroni
Green columns are the outcomes that came in.
Fiorentina
Milan
Milan
Bologna
Torino
Milan
Parma
Milan
Milan
Lazio
Gianluca Manganiello · 46 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.