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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Milan
Venezia
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: 4–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Juventus
|
4 | 2 | 2 | 0 | +6 | +2.2 | 8 |
| 2 |
Inter
|
3 | 2 | 1 | 0 | +6 | +1.9 | 7 |
| 3 |
Torino
|
3 | 2 | 1 | 0 | +2 | -1.7 | 7 |
| 4 |
Udinese
|
3 | 2 | 1 | 0 | +2 | -3.4 | 7 |
| 5 |
Verona
|
3 | 2 | 0 | 1 | +2 | +0.2 | 6 |
| 6 |
Napoli
|
3 | 2 | 0 | 1 | +1 | +1.4 | 6 |
| 7 |
Empoli
|
4 | 1 | 3 | 0 | +1 | +0.0 | 6 |
| 8 |
Lazio
|
3 | 1 | 1 | 1 | +1 | +3.0 | 4 |
| 9 |
Parma
|
3 | 1 | 1 | 1 | +0 | +0.4 | 4 |
| 10 |
Genoa
|
3 | 1 | 1 | 1 | -1 | +0.4 | 4 |
| 11 |
Fiorentina
|
3 | 0 | 3 | 0 | +0 | +1.0 | 3 |
| 12 |
Atalanta
|
3 | 1 | 0 | 2 | -1 | +1.0 | 3 |
| 13 |
Bologna
|
4 | 0 | 3 | 1 | -3 | +0.9 | 3 |
| 14 |
Lecce
|
3 | 1 | 0 | 2 | -5 | -2.5 | 3 |
| 15 |
Milan
|
3 | 0 | 2 | 1 | -1 | +0.6 | 2 |
| 16 |
Monza
|
3 | 0 | 2 | 1 | -1 | -2.1 | 2 |
| 17 |
Roma
|
3 | 0 | 2 | 1 | -1 | -0.8 | 2 |
| 18 |
Cagliari
|
3 | 0 | 2 | 1 | -1 | -0.5 | 2 |
| 19 |
Como
|
4 | 0 | 2 | 2 | -4 | +0.4 | 2 |
| 20 |
Venezia
|
3 | 0 | 1 | 2 | -3 | -2.2 | 1 |
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. Maignan
G
M. Gabbia
D
S. Pavlović
D
Y. Fofana
M
R. Loftus-Cheek
M
C. Pulišić
F
T. Abraham
F
Rafael Leão
F
Coach: Paulo Fonseca
J. Joronen
G
A. Candela
D
J. Schingtienne
D
M. Svoboda
D
J. Idzes
D
F. Zampano
D
G. Oristanio
M
G. Busio
M
J. Pohjanpalo
F
Coach: E. Di Francesco
Green columns are the outcomes that came in.
Lazio
Milan
Parma
Milan
Milan
Torino
Milan
Salernitana
Torino
Milan
D Di Marco · 37 kamper i vår database
🟥 Red cards: 0,17 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.