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
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Inter
|
10 | 6 | 3 | 1 | +3 | 21 |
| 2 |
Roma
|
9 | 6 | 2 | 1 | +11 | 20 |
| 3 |
Napoli
|
9 | 5 | 3 | 1 | +11 | 18 |
| 4 |
Fiorentina
|
9 | 6 | 0 | 3 | +8 | 18 |
| 5 |
Lazio
|
9 | 6 | 0 | 3 | +1 | 18 |
| 6 |
Sassuolo
|
9 | 4 | 3 | 2 | +2 | 15 |
| 7 |
Sampdoria
|
9 | 4 | 2 | 3 | +4 | 14 |
| 8 |
Torino
|
9 | 4 | 2 | 3 | +1 | 14 |
| 9 |
Atalanta
|
9 | 4 | 2 | 3 | +1 | 14 |
| 10 |
Milan
|
9 | 4 | 1 | 4 | -4 | 13 |
| 11 |
Chievo
|
9 | 3 | 3 | 3 | +4 | 12 |
| 12 |
Juventus
|
9 | 3 | 3 | 3 | +3 | 12 |
| 13 |
Palermo
|
9 | 3 | 2 | 4 | -2 | 11 |
| 14 |
Udinese
|
9 | 3 | 2 | 4 | -2 | 11 |
| 15 |
Empoli
|
9 | 3 | 1 | 5 | -4 | 10 |
| 16 |
Genoa
|
9 | 3 | 1 | 5 | -4 | 10 |
| 17 |
Frosinone
|
9 | 2 | 1 | 6 | -5 | 7 |
| 18 |
Bologna
|
10 | 2 | 0 | 8 | -9 | 6 |
| 19 |
Verona
|
9 | 0 | 5 | 4 | -7 | 5 |
| 20 |
Carpi
|
9 | 1 | 2 | 6 | -12 | 5 |
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.
D. Berardi
F
M. Lemina
M
P. Dybala
F
Green columns are the outcomes that came in.
Milan
Sassuolo
Sassuolo
Lazio
Empoli
Sassuolo
Sassuolo
Chievo
Palermo
Sassuolo
Andrea Gervasoni · 19 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.