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
Salernitana
Verona
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Napoli
|
8 | 6 | 2 | 0 | +12 | 20 |
| 2 |
Milan
|
9 | 6 | 2 | 1 | +9 | 20 |
| 3 |
Atalanta
|
8 | 6 | 2 | 0 | +9 | 20 |
| 4 |
Udinese
|
8 | 6 | 1 | 1 | +9 | 19 |
| 5 |
Lazio
|
8 | 5 | 2 | 1 | +12 | 17 |
| 6 |
Roma
|
8 | 5 | 1 | 2 | +2 | 16 |
| 7 |
Inter
|
9 | 5 | 0 | 4 | +2 | 15 |
| 8 |
Juventus
|
9 | 3 | 4 | 2 | +5 | 13 |
| 9 |
Sassuolo
|
9 | 3 | 3 | 3 | +1 | 12 |
| 10 |
Torino
|
9 | 3 | 2 | 4 | -3 | 11 |
| 11 |
Fiorentina
|
8 | 2 | 3 | 3 | +0 | 9 |
| 12 |
Empoli
|
9 | 1 | 5 | 3 | -3 | 8 |
| 13 |
Spezia
|
8 | 2 | 2 | 4 | -8 | 8 |
| 14 |
Lecce
|
8 | 1 | 4 | 3 | -2 | 7 |
| 15 |
Salernitana
|
8 | 1 | 4 | 3 | -3 | 7 |
| 16 |
Bologna
|
9 | 1 | 4 | 4 | -6 | 7 |
| 17 |
Monza
|
8 | 2 | 1 | 5 | -7 | 7 |
| 18 |
Verona
|
8 | 1 | 2 | 5 | -8 | 5 |
| 19 |
Cremonese
|
8 | 0 | 3 | 5 | -9 | 3 |
| 20 |
Sampdoria
|
9 | 0 | 3 | 6 | -12 | 3 |
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.
F. Daniliuc
D
L. Pirola
D
L. Coulibaly
M
P. Mazzocchi
M
F. Bonazzoli
F
Coach: D. Nicola
L. Montipò
G
F. Ceccherini
D
F. Depaoli
M
J. Doig
M
S. Verdi
F
Coach: G. Cioffi
Green columns are the outcomes that came in.
Sassuolo
Salernitana
Salernitana
Lecce
Juventus
Salernitana
Salernitana
Empoli
Bologna
Salernitana
D Ghersini · 64 kamper i vår database
🟥 Red cards: 0,11 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.