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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Spezia
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Sassuolo
|
25 | 18 | 4 | 3 | +31 | 58 |
| 2 |
Pisa
|
25 | 15 | 6 | 4 | +17 | 51 |
| 3 |
Spezia
|
24 | 13 | 9 | 2 | +23 | 48 |
| 4 |
Cremonese
|
24 | 10 | 7 | 7 | +9 | 37 |
| 5 |
Catanzaro
|
25 | 7 | 15 | 3 | +7 | 36 |
| 6 |
Bari
|
24 | 7 | 12 | 5 | +5 | 33 |
| 7 |
Juve Stabia
|
24 | 8 | 9 | 7 | -3 | 33 |
| 8 |
Cittadella
|
25 | 8 | 7 | 10 | -13 | 31 |
| 9 |
Palermo
|
24 | 8 | 6 | 10 | +2 | 30 |
| 10 |
Modena
|
25 | 6 | 12 | 7 | +0 | 30 |
| 11 |
Cesena
|
24 | 8 | 6 | 10 | -2 | 30 |
| 12 |
Brescia
|
25 | 6 | 11 | 8 | -3 | 29 |
| 13 |
Reggiana
|
24 | 7 | 7 | 10 | -4 | 28 |
| 14 |
Sampdoria
|
25 | 6 | 10 | 9 | -6 | 28 |
| 15 |
Mantova
|
25 | 6 | 10 | 9 | -8 | 28 |
| 16 |
Carrarese
|
25 | 7 | 6 | 12 | -10 | 27 |
| 17 |
Cosenza
|
25 | 5 | 10 | 10 | -7 | 25 |
| 18 |
Salernitana
|
25 | 6 | 7 | 12 | -10 | 25 |
| 19 |
Sudtirol
|
24 | 7 | 4 | 13 | -11 | 25 |
| 20 |
Frosinone
|
25 | 4 | 10 | 11 | -17 | 22 |
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.
L. Chichizola
G
P. Wiśniewski
D
S. Elia
M
L. Vignali
M
S. Esposito
M
A. Reca
M
F. Esposito
F
Coach: L. D'Angelo
E. Audero
G
R. Baniya
D
G. Magnani
D
P. Ceccaroni
D
S. Diakité
M
J. Segre
M
F. Ranocchia
M
K. Lund
M
J. Pohjanpalo
F
M. Brunori
F
Coach: A. Dionisi
Green columns are the outcomes that came in.
Cittadella
Spezia
Spezia
Sassuolo
Carrarese
Spezia
Spezia
Juve Stabia
Bari
Spezia
D Ghersini · 64 kamper i vår database
🟥 Red cards: 0,11 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.