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
Lazio
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Inter
|
6 | 5 | 0 | 1 | +12 | +8.4 | 15 |
| 2 |
Milan
|
6 | 5 | 0 | 1 | +5 | +3.4 | 15 |
| 3 |
Napoli
|
7 | 4 | 2 | 1 | +10 | +10.8 | 14 |
| 4 |
Juventus
|
6 | 4 | 1 | 1 | +6 | +6.3 | 13 |
| 5 |
Atalanta
|
6 | 4 | 0 | 2 | +6 | +4.0 | 12 |
| 6 |
Fiorentina
|
6 | 3 | 2 | 1 | +2 | -2.0 | 11 |
| 7 |
Lecce
|
7 | 3 | 2 | 2 | -1 | -4.6 | 11 |
| 8 |
Frosinone
|
6 | 2 | 3 | 1 | +1 | -1.0 | 9 |
| 9 |
Sassuolo
|
6 | 3 | 0 | 3 | -1 | -4.2 | 9 |
| 10 |
Torino
|
6 | 2 | 2 | 2 | -1 | -1.6 | 8 |
| 11 |
Genoa
|
6 | 2 | 1 | 3 | -1 | -2.6 | 7 |
| 12 |
Lazio
|
6 | 2 | 1 | 3 | -1 | -1.0 | 7 |
| 13 |
Bologna
|
6 | 1 | 4 | 1 | -1 | -0.1 | 7 |
| 14 |
Verona
|
6 | 2 | 1 | 3 | -2 | -3.3 | 7 |
| 15 |
Monza
|
6 | 1 | 3 | 2 | -3 | -0.2 | 6 |
| 16 |
Roma
|
6 | 1 | 2 | 3 | +2 | +4.5 | 5 |
| 17 |
Salernitana
|
6 | 0 | 3 | 3 | -6 | -6.1 | 3 |
| 18 |
Udinese
|
6 | 0 | 3 | 3 | -8 | -2.4 | 3 |
| 19 |
Empoli
|
6 | 1 | 0 | 5 | -12 | -4.1 | 3 |
| 20 |
Cagliari
|
6 | 0 | 2 | 4 | -7 | -4.1 | 2 |
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
D. Calabria
D
F. Tomori
D
R. Loftus-Cheek
M
C. Pulišić
F
O. Giroud
F
Rafael Leão
F
Coach: S. Pioli
I. Provedel
G
A. Marušić
D
N. Casale
D
A. Romagnoli
D
M. Guendouzi
M
N. Rovella
M
V. Castellanos
F
M. Zaccagni
F
Coach: M. Sarri
Green columns are the outcomes that came in.
Cagliari
Milan
Milan
Verona
Milan
Newcastle
Inter
Milan
Roma
Milan
D Massa · 154 kamper i vår database
🟥 Red cards: 0,27 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.