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
Parma
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Milan
|
17 | 11 | 5 | 1 | +15 | +8.3 | 38 |
| 2 |
Inter
|
16 | 12 | 0 | 4 | +21 | +14.3 | 36 |
| 3 |
Napoli
|
16 | 11 | 1 | 4 | +11 | +7.7 | 34 |
| 4 |
Roma
|
17 | 11 | 0 | 6 | +9 | +1.0 | 33 |
| 5 |
Juventus
|
17 | 9 | 5 | 3 | +8 | +10.1 | 32 |
| 6 |
Como
|
17 | 8 | 6 | 3 | +11 | +6.8 | 30 |
| 7 |
Bologna
|
16 | 7 | 5 | 4 | +10 | +2.7 | 26 |
| 8 |
Lazio
|
17 | 6 | 6 | 5 | +6 | -4.3 | 24 |
| 9 |
Sassuolo
|
17 | 6 | 4 | 7 | +1 | -5.4 | 22 |
| 10 |
Atalanta
|
17 | 5 | 7 | 5 | +1 | +6.6 | 22 |
| 11 |
Udinese
|
18 | 6 | 4 | 8 | -11 | -6.1 | 22 |
| 12 |
Cremonese
|
17 | 5 | 6 | 6 | -2 | -8.9 | 21 |
| 13 |
Torino
|
17 | 5 | 5 | 7 | -11 | -3.2 | 20 |
| 14 |
Cagliari
|
18 | 4 | 6 | 8 | -6 | -11.2 | 18 |
| 15 |
Parma
|
16 | 4 | 5 | 7 | -7 | -4.6 | 17 |
| 16 |
Lecce
|
16 | 4 | 4 | 8 | -11 | -6.8 | 16 |
| 17 |
Genoa
|
17 | 3 | 5 | 9 | -10 | +0.8 | 14 |
| 18 |
Verona
|
16 | 2 | 6 | 8 | -12 | -3.2 | 12 |
| 19 |
Pisa
|
17 | 1 | 8 | 8 | -12 | -6.2 | 11 |
| 20 |
Fiorentina
|
17 | 1 | 6 | 10 | -11 | +1.5 | 9 |
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
K. Thorstvedt
M
N. Matic
M
L. Lipani
M
A. Fadera
F
A. Pinamonti
F
A. Lauriente
F
Coach: Fabio Grosso
E. Corvi
G
E. Del Prato
D
A. Circati
D
L. Valenti
D
E. Valeri
D
A. Bernabe
M
M. Keita
M
O. Sorensen
M
G. Oristanio
F
M. Pellegrino
F
J. Ondrejka
F
Coach: Carlos Cuesta
Green columns are the outcomes that came in.
Bologna
Sassuolo
Sassuolo
Torino
Milan
Sassuolo
Sassuolo
Fiorentina
Como
Sassuolo
Ermanno Feliciani · 12 kamper i vår database
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.