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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Cremonese
Juventus
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Napoli
|
15 | 13 | 2 | 0 | +25 | 41 |
| 2 |
Milan
|
16 | 11 | 3 | 2 | +15 | 36 |
| 3 |
Juventus
|
15 | 9 | 4 | 2 | +17 | 31 |
| 4 |
Lazio
|
16 | 9 | 3 | 4 | +14 | 30 |
| 5 |
Inter
|
15 | 10 | 0 | 5 | +12 | 30 |
| 6 |
Roma
|
16 | 9 | 3 | 4 | +5 | 30 |
| 7 |
Atalanta
|
16 | 8 | 4 | 4 | +7 | 28 |
| 8 |
Udinese
|
15 | 6 | 6 | 3 | +7 | 24 |
| 9 |
Torino
|
16 | 6 | 4 | 6 | -1 | 22 |
| 10 |
Fiorentina
|
15 | 5 | 4 | 6 | -2 | 19 |
| 11 |
Bologna
|
16 | 5 | 4 | 7 | -6 | 19 |
| 12 |
Lecce
|
16 | 4 | 6 | 6 | -2 | 18 |
| 13 |
Salernitana
|
16 | 4 | 5 | 7 | -6 | 17 |
| 14 |
Empoli
|
15 | 4 | 5 | 6 | -7 | 17 |
| 15 |
Monza
|
15 | 5 | 1 | 9 | -6 | 16 |
| 16 |
Sassuolo
|
16 | 4 | 4 | 8 | -8 | 16 |
| 17 |
Spezia
|
16 | 3 | 5 | 8 | -12 | 14 |
| 18 |
Sampdoria
|
16 | 2 | 3 | 11 | -20 | 9 |
| 19 |
Cremonese
|
15 | 0 | 7 | 8 | -15 | 7 |
| 20 |
Verona
|
16 | 1 | 3 | 12 | -17 | 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.
M. Carnesecchi
G
A. Ferrari
D
M. Bianchetti
D
L. Lochoshvili
D
L. Sernicola
M
E. Valeri
M
D. Okereke
F
C. Dessers
F
Coach: M. Alvini
W. Szczęsny
G
F. Gatti
D
Bremer
D
M. Soulé
M
N. Fagioli
M
M. Locatelli
M
W. McKennie
M
F. Kostić
M
F. Miretti
F
A. Milik
F
Coach: M. Allegri
Green columns are the outcomes that came in.
Empoli
Cremonese
Cremonese
Milan
Salernitana
Cremonese
Cremonese
Udinese
Cremonese
Sampdoria
G Ayroldi · 86 kamper i vår database
🟥 Red cards: 0,37 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.