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
Fiorentina
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Inter
|
12 | 10 | 1 | 1 | +23 | +16.6 | 31 |
| 2 |
Juventus
|
12 | 9 | 2 | 1 | +12 | +12.5 | 29 |
| 3 |
Napoli
|
13 | 7 | 3 | 3 | +12 | +14.1 | 24 |
| 4 |
Milan
|
12 | 7 | 2 | 3 | +6 | +3.3 | 23 |
| 5 |
Atalanta
|
13 | 6 | 2 | 5 | +8 | +3.9 | 20 |
| 6 |
Fiorentina
|
12 | 6 | 2 | 4 | +4 | -3.6 | 20 |
| 7 |
Roma
|
12 | 5 | 3 | 4 | +8 | +5.5 | 18 |
| 8 |
Bologna
|
12 | 4 | 6 | 2 | +3 | +2.7 | 18 |
| 9 |
Monza
|
12 | 4 | 5 | 3 | +2 | +0.3 | 17 |
| 10 |
Lazio
|
13 | 5 | 2 | 6 | -1 | +1.3 | 17 |
| 11 |
Torino
|
12 | 4 | 4 | 4 | -4 | -1.4 | 16 |
| 12 |
Frosinone
|
12 | 4 | 3 | 5 | -3 | -5.1 | 15 |
| 13 |
Lecce
|
12 | 3 | 5 | 4 | -3 | -7.5 | 14 |
| 14 |
Genoa
|
12 | 4 | 2 | 6 | -3 | -2.1 | 14 |
| 15 |
Sassuolo
|
12 | 3 | 3 | 6 | -5 | -7.1 | 12 |
| 16 |
Udinese
|
12 | 1 | 8 | 3 | -7 | +1.2 | 11 |
| 17 |
Empoli
|
12 | 3 | 1 | 8 | -16 | -5.7 | 10 |
| 18 |
Cagliari
|
12 | 2 | 3 | 7 | -12 | -5.0 | 9 |
| 19 |
Verona
|
12 | 2 | 2 | 8 | -9 | -10.0 | 8 |
| 20 |
Salernitana
|
13 | 1 | 5 | 7 | -15 | -13.7 | 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.
M. Maignan
G
D. Calabria
D
M. Thiaw
D
F. Tomori
D
T. Pobega
M
S. Chukwueze
M
Y. Musah
M
C. Pulišić
M
L. Jović
F
Coach: S. Pioli
P. Terracciano
G
N. Milenković
D
C. Biraghi
D
N. González
M
Coach: V. Italiano
Green columns are the outcomes that came in.
Lecce
Milan
Milan
Paris SG
Milan
Udinese
Napoli
Milan
Paris SG
Milan
M Di Bello · 127 kamper i vår database
🟥 Red cards: 0,16 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.