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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Cesena
Pisa
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
|
26 | 19 | 4 | 3 | +33 | 61 |
| 2 |
Pisa
|
25 | 15 | 6 | 4 | +17 | 51 |
| 3 |
Spezia
|
26 | 13 | 11 | 2 | +23 | 50 |
| 4 |
Cremonese
|
26 | 11 | 8 | 7 | +11 | 41 |
| 5 |
Catanzaro
|
26 | 8 | 15 | 3 | +8 | 39 |
| 6 |
Juve Stabia
|
26 | 10 | 9 | 7 | +2 | 39 |
| 7 |
Bari
|
26 | 7 | 13 | 6 | +3 | 34 |
| 8 |
Cesena
|
25 | 9 | 6 | 10 | -1 | 33 |
| 9 |
Palermo
|
26 | 8 | 8 | 10 | +2 | 32 |
| 10 |
Modena
|
26 | 6 | 13 | 7 | +0 | 31 |
| 11 |
Cittadella
|
26 | 8 | 7 | 11 | -14 | 31 |
| 12 |
Carrarese
|
26 | 8 | 6 | 12 | -9 | 30 |
| 13 |
Brescia
|
26 | 6 | 11 | 9 | -5 | 29 |
| 14 |
Reggiana
|
26 | 7 | 8 | 11 | -5 | 29 |
| 15 |
Mantova
|
26 | 6 | 11 | 9 | -8 | 29 |
| 16 |
Sampdoria
|
26 | 6 | 10 | 10 | -7 | 28 |
| 17 |
Sudtirol
|
26 | 8 | 4 | 14 | -12 | 28 |
| 18 |
Cosenza
|
26 | 5 | 10 | 11 | -10 | 25 |
| 19 |
Salernitana
|
26 | 6 | 7 | 13 | -11 | 25 |
| 20 |
Frosinone
|
26 | 4 | 11 | 11 | -17 | 23 |
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.
M. Piacentini
D
M. Mangraviti
D
E. Adamo
M
M. Francesconi
M
T. Berti
F
C. Shpendi
F
Coach: M. Mignani
A. Šemper
G
S. Canestrelli
D
A. Caracciolo
D
G. Bonfanti
D
I. Touré
M
G. Piccinini
M
S. Angori
M
S. Moreo
F
M. Tramoni
F
H. Meister
F
Coach: F. Inzaghi
Green columns are the outcomes that came in.
Reggiana
Cesena
Catanzaro
Cesena
Cesena
Bari
Sampdoria
Cesena
Cesena
Cittadella
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.