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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Salernitana
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: 0–2
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Sassuolo
|
31 | 22 | 6 | 3 | +39 | 72 |
| 2 |
Pisa
|
31 | 18 | 7 | 6 | +22 | 61 |
| 3 |
Spezia
|
31 | 14 | 13 | 4 | +22 | 55 |
| 4 |
Cremonese
|
31 | 13 | 10 | 8 | +15 | 49 |
| 5 |
Catanzaro
|
31 | 10 | 16 | 5 | +8 | 46 |
| 6 |
Juve Stabia
|
31 | 12 | 10 | 9 | +1 | 46 |
| 7 |
Cesena
|
31 | 11 | 9 | 11 | +1 | 42 |
| 8 |
Bari
|
31 | 8 | 16 | 7 | +3 | 40 |
| 9 |
Palermo
|
30 | 10 | 9 | 11 | +5 | 39 |
| 10 |
Modena
|
31 | 8 | 14 | 9 | +1 | 38 |
| 11 |
Carrarese
|
31 | 9 | 9 | 13 | -9 | 36 |
| 12 |
Frosinone
|
31 | 8 | 12 | 11 | -11 | 36 |
| 13 |
Cittadella
|
31 | 9 | 8 | 14 | -20 | 35 |
| 14 |
Brescia
|
31 | 7 | 13 | 11 | -6 | 34 |
| 15 |
Sudtirol
|
31 | 9 | 7 | 15 | -10 | 34 |
| 16 |
Mantova
|
31 | 7 | 12 | 12 | -10 | 33 |
| 17 |
Sampdoria
|
31 | 6 | 14 | 11 | -10 | 32 |
| 18 |
Reggiana
|
31 | 7 | 11 | 13 | -10 | 32 |
| 19 |
Salernitana
|
30 | 7 | 9 | 14 | -12 | 30 |
| 20 |
Cosenza
|
31 | 6 | 11 | 14 | -19 | 29 |
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.
O. Christensen
G
L. Lochoshvili
D
L. Amatucci
M
T. Corazza
M
A. Raimondo
F
A. Cerri
F
Coach: R. Breda
E. Audero
G
N. Pierozzi
D
R. Baniya
D
G. Magnani
D
P. Ceccaroni
D
K. Lund
D
J. Segre
M
C. Gomes
M
M. Brunori
M
J. Pohjanpalo
F
Coach: A. Dionisi
Green columns are the outcomes that came in.
Bari
Salernitana
Salernitana
Modena
Cesena
Salernitana
Salernitana
Frosinone
Carrarese
Salernitana
A Arena · 26 kamper i vår database
🟥 Red cards: 0,08 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.