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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Monza
Sassuolo
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 |
Juventus
|
22 | 16 | 5 | 1 | +23 | +19.6 | 53 |
| 2 |
Inter
|
20 | 16 | 3 | 1 | +39 | +28.8 | 51 |
| 3 |
Milan
|
22 | 14 | 4 | 4 | +18 | +8.5 | 46 |
| 4 |
Atalanta
|
21 | 11 | 3 | 7 | +16 | +8.2 | 36 |
| 5 |
Fiorentina
|
20 | 10 | 4 | 6 | +8 | -1.1 | 34 |
| 6 |
Bologna
|
21 | 8 | 9 | 4 | +5 | +3.9 | 33 |
| 7 |
Lazio
|
20 | 10 | 3 | 7 | +4 | +4.0 | 33 |
| 8 |
Roma
|
21 | 9 | 5 | 7 | +9 | +8.5 | 32 |
| 9 |
Napoli
|
20 | 9 | 4 | 7 | +5 | +13.3 | 31 |
| 10 |
Torino
|
21 | 8 | 7 | 6 | +1 | +0.3 | 31 |
| 11 |
Genoa
|
22 | 7 | 7 | 8 | -2 | -2.9 | 28 |
| 12 |
Monza
|
21 | 6 | 7 | 8 | -8 | -9.4 | 25 |
| 13 |
Frosinone
|
21 | 6 | 4 | 11 | -12 | -8.2 | 22 |
| 14 |
Lecce
|
22 | 4 | 9 | 9 | -10 | -11.5 | 21 |
| 15 |
Sassuolo
|
20 | 5 | 4 | 11 | -10 | -8.1 | 19 |
| 16 |
Udinese
|
22 | 2 | 12 | 8 | -14 | -6.6 | 18 |
| 17 |
Cagliari
|
22 | 4 | 6 | 12 | -17 | -6.9 | 18 |
| 18 |
Verona
|
21 | 4 | 5 | 12 | -10 | -7.8 | 17 |
| 19 |
Empoli
|
22 | 4 | 5 | 13 | -21 | -10.4 | 17 |
| 20 |
Salernitana
|
21 | 2 | 6 | 13 | -24 | -22.4 | 12 |
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. Di Gregorio
G
L. Caldirola
D
S. Birindelli
M
A. Colpani
F
Dany Mota
F
Coach: R. Palladino
M. Pedersen
D
J. Doig
D
K. Thorstvedt
M
A. Pinamonti
F
A. Laurienté
F
Coach: A. Dionisi
Green columns are the outcomes that came in.
Empoli
Monza
Monza
Inter
Frosinone
Monza
Napoli
Monza
Monza
Fiorentina
G Manganiello · 108 kamper i vår database
🟥 Red cards: 0,23 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.