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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Carrarese
Brescia
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
|
24 | 17 | 4 | 3 | +28 | 55 |
| 2 |
Pisa
|
24 | 15 | 6 | 3 | +18 | 51 |
| 3 |
Spezia
|
24 | 13 | 9 | 2 | +23 | 48 |
| 4 |
Cremonese
|
23 | 10 | 7 | 6 | +10 | 37 |
| 5 |
Catanzaro
|
24 | 7 | 14 | 3 | +7 | 35 |
| 6 |
Juve Stabia
|
24 | 8 | 9 | 7 | -3 | 33 |
| 7 |
Bari
|
23 | 6 | 12 | 5 | +4 | 30 |
| 8 |
Palermo
|
24 | 8 | 6 | 10 | +2 | 30 |
| 9 |
Modena
|
24 | 6 | 12 | 6 | +1 | 30 |
| 10 |
Cesena
|
24 | 8 | 6 | 10 | -2 | 30 |
| 11 |
Reggiana
|
23 | 7 | 7 | 9 | -2 | 28 |
| 12 |
Mantova
|
24 | 6 | 10 | 8 | -5 | 28 |
| 13 |
Cittadella
|
24 | 7 | 7 | 10 | -14 | 28 |
| 14 |
Carrarese
|
23 | 7 | 6 | 10 | -8 | 27 |
| 15 |
Brescia
|
23 | 5 | 10 | 8 | -4 | 25 |
| 16 |
Sampdoria
|
24 | 5 | 10 | 9 | -7 | 25 |
| 17 |
Cosenza
|
24 | 4 | 10 | 10 | -8 | 22 |
| 18 |
Sudtirol
|
23 | 6 | 4 | 13 | -13 | 22 |
| 19 |
Salernitana
|
23 | 5 | 6 | 12 | -11 | 21 |
| 20 |
Frosinone
|
23 | 4 | 9 | 10 | -16 | 21 |
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.
V. Fiorillo
G
J. Illanes
D
F. Oliana
D
M. Imperiale
D
S. Zanon
M
S. Giovane
M
N. Schiavi
M
F. Melegoni
M
M. Cicconi
M
L. Cerri
F
S. Shpendi
F
Coach: A. Calabro
L. Lezzerini
G
L. Dickmann
D
G. Calvani
D
D. Adorni
D
N. Corrado
D
G. Olzer
M
M. Besaggio
M
P. Nuamah
M
G. Borrelli
F
Coach: R. Maran
Green columns are the outcomes that came in.
Juve Stabia
Carrarese
Carrarese
Spezia
Pisa
Carrarese
Carrarese
Cesena
Sampdoria
Carrarese
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.