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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Milan
Atalanta
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 |
Milan
|
36 | 24 | 8 | 4 | +33 | 80 |
| 2 |
Inter
|
36 | 23 | 9 | 4 | +47 | 78 |
| 3 |
Napoli
|
37 | 23 | 7 | 7 | +40 | 76 |
| 4 |
Juventus
|
36 | 20 | 9 | 7 | +22 | 69 |
| 5 |
Lazio
|
36 | 18 | 8 | 10 | +19 | 62 |
| 6 |
Roma
|
37 | 17 | 9 | 11 | +13 | 60 |
| 7 |
Atalanta
|
36 | 16 | 11 | 9 | +20 | 59 |
| 8 |
Fiorentina
|
36 | 18 | 5 | 13 | +9 | 59 |
| 9 |
Verona
|
37 | 14 | 10 | 13 | +6 | 52 |
| 10 |
Torino
|
37 | 13 | 11 | 13 | +8 | 50 |
| 11 |
Sassuolo
|
37 | 13 | 11 | 13 | +1 | 50 |
| 12 |
Udinese
|
37 | 10 | 14 | 13 | -1 | 44 |
| 13 |
Bologna
|
37 | 11 | 10 | 16 | -12 | 43 |
| 14 |
Empoli
|
37 | 9 | 11 | 17 | -21 | 38 |
| 15 |
Spezia
|
37 | 10 | 6 | 21 | -27 | 36 |
| 16 |
Sampdoria
|
36 | 9 | 6 | 21 | -17 | 33 |
| 17 |
Salernitana
|
37 | 7 | 10 | 20 | -41 | 31 |
| 18 |
Cagliari
|
36 | 6 | 11 | 19 | -32 | 29 |
| 19 |
Genoa
|
37 | 4 | 16 | 17 | -32 | 28 |
| 20 |
Venezia
|
37 | 6 | 8 | 23 | -35 | 26 |
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. Maignan
G
D. Calabria
D
F. Tomori
D
P. Kalulu
D
F. Kessié
M
A. Saelemaekers
M
S. Tonali
M
O. Giroud
F
Rafael Leão
M
Coach: S. Pioli
J. Musso
G
D. Zappacosta
M
H. Hateboer
M
M. de Roon
D
R. Freuler
M
M. Pašalić
F
T. Koopmeiners
M
Coach: G. Gasperini
Green columns are the outcomes that came in.
Verona
Milan
Milan
Fiorentina
Lazio
Milan
Milan
Genoa
Torino
Milan
D Orsato · 98 kamper i vår database
🟥 Red cards: 0,17 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.