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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Brescia
Sampdoria
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
|
21 | 15 | 4 | 2 | +25 | 49 |
| 2 |
Pisa
|
20 | 12 | 5 | 3 | +15 | 41 |
| 3 |
Spezia
|
21 | 10 | 9 | 2 | +16 | 39 |
| 4 |
Cremonese
|
21 | 9 | 6 | 6 | +8 | 33 |
| 5 |
Juve Stabia
|
21 | 7 | 9 | 5 | -1 | 30 |
| 6 |
Catanzaro
|
21 | 5 | 13 | 3 | +4 | 28 |
| 7 |
Bari
|
21 | 6 | 10 | 5 | +4 | 28 |
| 8 |
Palermo
|
21 | 7 | 6 | 8 | +3 | 27 |
| 9 |
Carrarese
|
20 | 7 | 6 | 7 | -2 | 27 |
| 10 |
Cesena
|
21 | 7 | 5 | 9 | -1 | 26 |
| 11 |
Modena
|
21 | 5 | 10 | 6 | -1 | 25 |
| 12 |
Reggiana
|
21 | 6 | 7 | 8 | -2 | 25 |
| 13 |
Cittadella
|
21 | 6 | 7 | 8 | -12 | 25 |
| 14 |
Mantova
|
21 | 5 | 9 | 7 | -4 | 24 |
| 15 |
Brescia
|
20 | 5 | 8 | 7 | -3 | 23 |
| 16 |
Cosenza
|
21 | 4 | 10 | 7 | -4 | 22 |
| 17 |
Sampdoria
|
20 | 4 | 8 | 8 | -7 | 20 |
| 18 |
Frosinone
|
21 | 4 | 8 | 9 | -13 | 20 |
| 19 |
Sudtirol
|
21 | 5 | 4 | 12 | -14 | 19 |
| 20 |
Salernitana
|
21 | 4 | 6 | 11 | -11 | 18 |
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. Lezzerini
G
L. Dickmann
D
A. Papetti
D
D. Adorni
D
N. Corrado
D
N. Galazzi
M
P. Nuamah
M
G. Moncini
F
Coach: P. Bisoli
S. Ghidotti
G
A. Riccio
D
M. Meulensteen
D
D. Veroli
D
F. Depaoli
M
A. Bellemo
M
Gerard Yepes
M
E. Akinsanmiro
M
G. Tutino
F
Coach: L. Semplici
Green columns are the outcomes that came in.
Cremonese
Brescia
Brescia
Modena
Salernitana
Brescia
Brescia
Carrarese
Catanzaro
Brescia
D Massa · 154 kamper i vår database
🟥 Red cards: 0,27 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.