Serie B
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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Palermo
Venezia
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: 0–2
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Parma
|
29 | 18 | 8 | 3 | +26 | 62 |
| 2 |
Cremonese
|
29 | 16 | 8 | 5 | +19 | 56 |
| 3 |
Venezia
|
29 | 16 | 6 | 7 | +18 | 54 |
| 4 |
Como
|
29 | 15 | 7 | 7 | +8 | 52 |
| 5 |
Palermo
|
29 | 14 | 7 | 8 | +14 | 49 |
| 6 |
Catanzaro
|
29 | 14 | 6 | 9 | +8 | 48 |
| 7 |
Sampdoria
|
29 | 11 | 6 | 12 | -4 | 39 |
| 8 |
Brescia
|
29 | 9 | 11 | 9 | +2 | 38 |
| 9 |
Pisa
|
29 | 9 | 10 | 10 | +0 | 37 |
| 10 |
Cittadella
|
29 | 10 | 7 | 12 | -5 | 37 |
| 11 |
Reggiana
|
29 | 7 | 15 | 7 | -2 | 36 |
| 12 |
Modena
|
29 | 8 | 12 | 9 | -5 | 36 |
| 13 |
Sudtirol
|
29 | 9 | 8 | 12 | -3 | 35 |
| 14 |
Cosenza
|
29 | 8 | 10 | 11 | -1 | 34 |
| 15 |
Bari
|
29 | 7 | 13 | 9 | -7 | 34 |
| 16 |
Spezia
|
29 | 6 | 12 | 11 | -14 | 30 |
| 17 |
Ternana
|
29 | 7 | 8 | 14 | -6 | 29 |
| 18 |
Ascoli
|
29 | 6 | 10 | 13 | -7 | 28 |
| 19 |
FeralpiSalo
|
29 | 7 | 6 | 16 | -14 | 27 |
| 20 |
Lecco
|
29 | 5 | 6 | 18 | -27 | 21 |
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. Pigliacelli
G
S. Diakité
D
P. Ceccaroni
D
K. Lund
D
C. Gomes
M
J. Segre
M
L. Henderson
M
F. Di Francesco
M
M. Brunori
F
Coach: E. Corini
J. Joronen
G
J. Idzes
D
A. Candela
M
G. Busio
M
T. Tessmann
M
M. Ellertsson
M
F. Zampano
M
J. Pohjanpalo
F
N. Pierini
F
Coach: P. Vanoli
Green columns are the outcomes that came in.
Lecco
Palermo
Brescia
Palermo
Palermo
Ternana
Cremonese
Palermo
Palermo
Como
D Doveri · 126 kamper i vår database
🟥 Red cards: 0,12 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.