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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Roma
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Napoli
|
10 | 8 | 1 | 1 | +13 | +7.9 | 25 |
| 2 |
Inter
|
10 | 6 | 3 | 1 | +11 | +6.3 | 21 |
| 3 |
Atalanta
|
10 | 6 | 1 | 3 | +12 | +10.1 | 19 |
| 4 |
Fiorentina
|
10 | 5 | 4 | 1 | +12 | +6.8 | 19 |
| 5 |
Juventus
|
10 | 4 | 6 | 0 | +10 | +7.5 | 18 |
| 6 |
Lazio
|
9 | 5 | 1 | 3 | +5 | +5.2 | 16 |
| 7 |
Udinese
|
10 | 5 | 1 | 4 | +0 | -5.5 | 16 |
| 8 |
Milan
|
9 | 4 | 2 | 3 | +5 | +6.2 | 14 |
| 9 |
Torino
|
9 | 4 | 2 | 3 | +1 | -3.6 | 14 |
| 10 |
Bologna
|
9 | 2 | 6 | 1 | +0 | -0.7 | 12 |
| 11 |
Empoli
|
10 | 2 | 5 | 3 | -2 | -6.5 | 11 |
| 12 |
Roma
|
9 | 2 | 4 | 3 | -2 | -1.9 | 10 |
| 13 |
Parma
|
10 | 1 | 6 | 3 | -2 | -1.3 | 9 |
| 14 |
Como
|
9 | 2 | 3 | 4 | -5 | -0.0 | 9 |
| 15 |
Verona
|
10 | 3 | 0 | 7 | -9 | -5.6 | 9 |
| 16 |
Cagliari
|
10 | 2 | 3 | 5 | -9 | -1.5 | 9 |
| 17 |
Monza
|
10 | 1 | 5 | 4 | -3 | -4.5 | 8 |
| 18 |
Venezia
|
10 | 2 | 2 | 6 | -8 | -4.3 | 8 |
| 19 |
Lecce
|
10 | 2 | 2 | 6 | -15 | -6.2 | 8 |
| 20 |
Genoa
|
10 | 1 | 3 | 6 | -14 | -8.5 | 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. Svilar
G
G. Mancini
D
E. Ndicka
D
Angeliño
D
Z. Çelik
M
M. Koné
M
E. Le Fée
M
N. Zalewski
M
T. Baldanzi
F
N. Pisilli
F
P. Dybala
F
Coach: I. Jurić
V. Milinković-Savić
G
Saúl Coco
D
M. Vojvoda
M
S. Ricci
M
K. Linetty
M
G. Gineitis
M
C. Adams
F
Coach: P. Vanoli
Green columns are the outcomes that came in.
Fiorentina
Roma
Roma
Dynamo Kyiv
Roma
Inter
Monza
Roma
Elfsborg
Roma
M Fabbri · 116 kamper i vår database
🟥 Red cards: 0,26 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.