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
Sassuolo
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: 3–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Sassuolo
|
31 | 22 | 6 | 3 | +39 | 72 |
| 2 |
Pisa
|
32 | 18 | 7 | 7 | +21 | 61 |
| 3 |
Spezia
|
31 | 14 | 13 | 4 | +22 | 55 |
| 4 |
Cremonese
|
32 | 14 | 10 | 8 | +16 | 52 |
| 5 |
Juve Stabia
|
32 | 13 | 10 | 9 | +2 | 49 |
| 6 |
Catanzaro
|
31 | 10 | 16 | 5 | +8 | 46 |
| 7 |
Cesena
|
32 | 11 | 10 | 11 | +1 | 43 |
| 8 |
Palermo
|
31 | 11 | 9 | 11 | +6 | 42 |
| 9 |
Modena
|
32 | 9 | 14 | 9 | +2 | 41 |
| 10 |
Bari
|
31 | 8 | 16 | 7 | +3 | 40 |
| 11 |
Carrarese
|
32 | 9 | 10 | 13 | -9 | 37 |
| 12 |
Frosinone
|
32 | 8 | 13 | 11 | -11 | 37 |
| 13 |
Mantova
|
32 | 8 | 12 | 12 | -9 | 36 |
| 14 |
Cittadella
|
32 | 9 | 9 | 14 | -20 | 36 |
| 15 |
Sudtirol
|
32 | 9 | 8 | 15 | -10 | 35 |
| 16 |
Brescia
|
32 | 7 | 13 | 12 | -7 | 34 |
| 17 |
Sampdoria
|
31 | 6 | 14 | 11 | -10 | 32 |
| 18 |
Reggiana
|
32 | 7 | 11 | 14 | -11 | 32 |
| 19 |
Salernitana
|
32 | 7 | 9 | 16 | -14 | 30 |
| 20 |
Cosenza
|
32 | 6 | 12 | 14 | -19 | 30 |
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.
E. Audero
G
R. Baniya
D
G. Magnani
D
P. Ceccaroni
D
N. Pierozzi
M
C. Gomes
M
K. Lund
M
J. Segre
F
M. Brunori
F
J. Pohjanpalo
F
Coach: A. Dionisi
H. Moldovan
G
J. Toljan
D
J. Doig
D
A. Ghion
M
D. Berardi
M
C. Volpato
M
A. Laurienté
M
S. Mulattieri
F
Coach: F. Grosso
Green columns are the outcomes that came in.
Salernitana
Palermo
Palermo
Cremonese
Sampdoria
Palermo
Palermo
Brescia
Cosenza
Palermo
F Maresca · 123 kamper i vår database
🟥 Red cards: 0,28 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.