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
Cesena
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Sassuolo
|
28 | 20 | 5 | 3 | +34 | 65 |
| 2 |
Pisa
|
28 | 16 | 7 | 5 | +18 | 55 |
| 3 |
Spezia
|
28 | 13 | 12 | 3 | +22 | 51 |
| 4 |
Cremonese
|
29 | 12 | 9 | 8 | +14 | 45 |
| 5 |
Catanzaro
|
29 | 9 | 16 | 4 | +5 | 43 |
| 6 |
Cesena
|
28 | 11 | 7 | 10 | +2 | 40 |
| 7 |
Juve Stabia
|
29 | 10 | 10 | 9 | -1 | 40 |
| 8 |
Palermo
|
29 | 10 | 9 | 10 | +6 | 39 |
| 9 |
Bari
|
28 | 8 | 14 | 6 | +4 | 38 |
| 10 |
Modena
|
29 | 7 | 14 | 8 | +1 | 35 |
| 11 |
Cittadella
|
28 | 9 | 7 | 12 | -15 | 34 |
| 12 |
Carrarese
|
29 | 8 | 8 | 13 | -10 | 32 |
| 13 |
Reggiana
|
29 | 7 | 10 | 12 | -6 | 31 |
| 14 |
Sampdoria
|
29 | 6 | 13 | 10 | -7 | 31 |
| 15 |
Brescia
|
28 | 6 | 12 | 10 | -6 | 30 |
| 16 |
Mantova
|
29 | 6 | 12 | 11 | -10 | 30 |
| 17 |
Sudtirol
|
28 | 8 | 6 | 14 | -12 | 30 |
| 18 |
Frosinone
|
29 | 6 | 12 | 11 | -15 | 30 |
| 19 |
Salernitana
|
29 | 7 | 8 | 14 | -12 | 29 |
| 20 |
Cosenza
|
29 | 6 | 11 | 12 | -12 | 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.
L. Lezzerini
G
G. Calvani
D
D. Adorni
D
A. Jallow
D
L. Dickmann
M
D. Bisoli
M
P. Nuamah
M
G. Borrelli
F
G. Moncini
F
Coach: R. Maran
A. Ciofi
D
M. Mangraviti
D
J. Ceesay
M
M. Francesconi
M
C. Shpendi
F
Coach: M. Mignani
Green columns are the outcomes that came in.
Palermo
Brescia
Brescia
Sudtirol
Sassuolo
Brescia
Brescia
Salernitana
Carrarese
Brescia
S Galipò · 23 kamper i vår database
🟥 Red cards: 0,30 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.