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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Inter
Palermo
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: 2–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Juventus
|
28 | 20 | 4 | 4 | +35 | 64 |
| 2 |
Napoli
|
28 | 18 | 7 | 3 | +35 | 61 |
| 3 |
Roma
|
28 | 16 | 8 | 4 | +30 | 56 |
| 4 |
Fiorentina
|
28 | 16 | 5 | 7 | +18 | 53 |
| 5 |
Inter
|
27 | 14 | 6 | 7 | +9 | 48 |
| 6 |
Milan
|
28 | 13 | 8 | 7 | +9 | 47 |
| 7 |
Sassuolo
|
28 | 11 | 11 | 6 | +5 | 44 |
| 8 |
Lazio
|
28 | 10 | 8 | 10 | -2 | 38 |
| 9 |
Bologna
|
28 | 10 | 6 | 12 | -2 | 36 |
| 10 |
Chievo
|
28 | 9 | 7 | 12 | -6 | 34 |
| 11 |
Empoli
|
28 | 9 | 7 | 12 | -8 | 34 |
| 12 |
Torino
|
28 | 8 | 9 | 11 | -1 | 33 |
| 13 |
Sampdoria
|
28 | 8 | 7 | 13 | -4 | 31 |
| 14 |
Genoa
|
28 | 8 | 7 | 13 | -4 | 31 |
| 15 |
Atalanta
|
28 | 7 | 9 | 12 | -7 | 30 |
| 16 |
Udinese
|
28 | 8 | 6 | 14 | -18 | 30 |
| 17 |
Palermo
|
27 | 7 | 6 | 14 | -20 | 27 |
| 18 |
Frosinone
|
28 | 7 | 5 | 16 | -25 | 26 |
| 19 |
Carpi
|
28 | 4 | 10 | 14 | -20 | 22 |
| 20 |
Verona
|
28 | 2 | 12 | 14 | -24 | 18 |
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.
I. Perišić
M
G. Kondogbia
M
G. Pezzella
M
Green columns are the outcomes that came in.
Juventus
Inter
Inter
Sampdoria
Fiorentina
Inter
Verona
Inter
Inter
Chievo
Carmine Russo · 33 kamper i vår database
🟥 Red cards: 0,18 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.