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
Atalanta
Udinese
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Juventus
|
15 | 12 | 0 | 3 | +19 | 36 |
| 2 |
Roma
|
15 | 10 | 2 | 3 | +19 | 32 |
| 3 |
Milan
|
15 | 10 | 2 | 3 | +8 | 32 |
| 4 |
Napoli
|
16 | 9 | 4 | 3 | +17 | 31 |
| 5 |
Lazio
|
16 | 9 | 4 | 3 | +12 | 31 |
| 6 |
Atalanta
|
15 | 9 | 1 | 5 | +7 | 28 |
| 7 |
Torino
|
15 | 7 | 4 | 4 | +12 | 25 |
| 8 |
Fiorentina
|
14 | 6 | 5 | 3 | +6 | 23 |
| 9 |
Sampdoria
|
16 | 6 | 4 | 6 | -2 | 22 |
| 10 |
Inter
|
15 | 6 | 3 | 6 | +1 | 21 |
| 11 |
Genoa
|
14 | 5 | 5 | 4 | +2 | 20 |
| 12 |
Cagliari
|
16 | 6 | 2 | 8 | -14 | 20 |
| 13 |
Chievo
|
15 | 5 | 4 | 6 | -2 | 19 |
| 14 |
Udinese
|
15 | 5 | 3 | 7 | -4 | 18 |
| 15 |
Sassuolo
|
15 | 5 | 2 | 8 | -6 | 17 |
| 16 |
Bologna
|
15 | 4 | 4 | 7 | -8 | 16 |
| 17 |
Empoli
|
15 | 2 | 4 | 9 | -17 | 10 |
| 18 |
Crotone
|
16 | 2 | 3 | 11 | -16 | 9 |
| 19 |
Pescara
|
16 | 1 | 5 | 10 | -16 | 8 |
| 20 |
Palermo
|
15 | 1 | 3 | 11 | -18 | 6 |
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.
M. Sportiello
G
L. Spinazzola
M
R. Gagliardini
M
F. Kessié
M
A. Petagna
F
Coach: G. Gasperini
S. Widmer
M
S. Fofana
M
D. Zapata
F
Coach: L. Delneri
Green columns are the outcomes that came in.
Juventus
Atalanta
Bologna
Atalanta
Atalanta
Roma
Sassuolo
Atalanta
Atalanta
Genoa
Fabio Maresca · 57 kamper i vår database
🟥 Red cards: 0,42 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.