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
Como
Monza
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 | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Napoli
|
13 | 9 | 2 | 2 | +11 | +7.9 | 29 |
| 2 |
Atalanta
|
13 | 9 | 1 | 3 | +18 | +12.7 | 28 |
| 3 |
Inter
|
13 | 8 | 4 | 1 | +17 | +11.3 | 28 |
| 4 |
Fiorentina
|
13 | 8 | 4 | 1 | +17 | +8.1 | 28 |
| 5 |
Lazio
|
13 | 9 | 1 | 3 | +14 | +12.6 | 28 |
| 6 |
Juventus
|
13 | 6 | 7 | 0 | +14 | +9.6 | 25 |
| 7 |
Milan
|
12 | 5 | 4 | 3 | +6 | +9.0 | 19 |
| 8 |
Bologna
|
12 | 4 | 6 | 2 | -1 | -1.4 | 18 |
| 9 |
Udinese
|
13 | 5 | 2 | 6 | -3 | -5.6 | 17 |
| 10 |
Empoli
|
13 | 3 | 7 | 3 | -1 | -8.0 | 16 |
| 11 |
Torino
|
13 | 4 | 3 | 6 | -3 | -5.3 | 15 |
| 12 |
Cagliari
|
14 | 3 | 5 | 6 | -9 | -3.3 | 14 |
| 13 |
Roma
|
13 | 3 | 4 | 6 | -4 | -2.5 | 13 |
| 14 |
Parma
|
13 | 2 | 6 | 5 | -4 | -3.5 | 12 |
| 15 |
Lecce
|
13 | 3 | 3 | 7 | -15 | -8.1 | 12 |
| 16 |
Verona
|
14 | 4 | 0 | 10 | -16 | -11.7 | 12 |
| 17 |
Genoa
|
13 | 2 | 5 | 6 | -13 | -10.0 | 11 |
| 18 |
Como
|
13 | 2 | 4 | 7 | -12 | -1.6 | 10 |
| 19 |
Monza
|
13 | 1 | 6 | 6 | -5 | -6.6 | 9 |
| 20 |
Venezia
|
13 | 2 | 2 | 9 | -11 | -3.6 | 8 |
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.
Green columns are the outcomes that came in.
Como
Fiorentina
Genoa
Como
Empoli
Como
Como
Lazio
Torino
Como
J Sacchi · 80 kamper i vår database
🟥 Red cards: 0,13 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.