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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Sassuolo
Torino
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
|
15 | 11 | 0 | 4 | +20 | +14.0 | 33 |
| 2 |
Milan
|
15 | 9 | 5 | 1 | +11 | +6.0 | 32 |
| 3 |
Napoli
|
15 | 10 | 1 | 4 | +9 | +5.6 | 31 |
| 4 |
Roma
|
16 | 10 | 0 | 6 | +7 | +0.3 | 30 |
| 5 |
Juventus
|
16 | 8 | 5 | 3 | +6 | +9.0 | 29 |
| 6 |
Bologna
|
15 | 7 | 4 | 4 | +10 | +3.4 | 25 |
| 7 |
Como
|
15 | 6 | 6 | 3 | +7 | +4.3 | 24 |
| 8 |
Lazio
|
16 | 6 | 5 | 5 | +6 | -4.0 | 23 |
| 9 |
Sassuolo
|
15 | 6 | 3 | 6 | +2 | -4.9 | 21 |
| 10 |
Cremonese
|
16 | 5 | 6 | 5 | +0 | -6.8 | 21 |
| 11 |
Udinese
|
15 | 6 | 3 | 6 | -6 | -2.2 | 21 |
| 12 |
Atalanta
|
15 | 4 | 7 | 4 | +1 | +6.3 | 19 |
| 13 |
Torino
|
15 | 4 | 5 | 6 | -11 | -5.3 | 17 |
| 14 |
Lecce
|
15 | 4 | 4 | 7 | -8 | -5.9 | 16 |
| 15 |
Cagliari
|
16 | 3 | 6 | 7 | -6 | -10.0 | 15 |
| 16 |
Genoa
|
15 | 3 | 5 | 7 | -7 | +2.1 | 14 |
| 17 |
Parma
|
15 | 3 | 5 | 7 | -8 | -4.3 | 14 |
| 18 |
Verona
|
15 | 2 | 6 | 7 | -9 | -1.1 | 12 |
| 19 |
Pisa
|
16 | 1 | 8 | 7 | -10 | -5.1 | 11 |
| 20 |
Fiorentina
|
15 | 0 | 6 | 9 | -14 | -1.3 | 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.
A. Muric
G
J. Idzes
D
T. Muharemovic
D
J. Doig
D
N. Matic
M
C. Volpato
F
W. Cheddira
F
A. Lauriente
F
Coach: Fabio Grosso
A. Paleari
G
A. Ismajli
D
M. Pedersen
M
N. Vlasic
M
G. Gineitis
M
C. Adams
F
D. Zapata
F
Coach: Marco Baroni
Green columns are the outcomes that came in.
Milan
Sassuolo
Sassuolo
Fiorentina
Como
Sassuolo
Sassuolo
Pisa
Atalanta
Sassuolo
Andrea Calzavara · 12 kamper i vår database
🟥 Red cards: 0,08 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.