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
Sassuolo
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
|
33 | 23 | 6 | 4 | +39 | 75 |
| 2 |
Pisa
|
34 | 20 | 7 | 7 | +24 | 67 |
| 3 |
Spezia
|
34 | 15 | 15 | 4 | +24 | 60 |
| 4 |
Cremonese
|
34 | 15 | 11 | 8 | +18 | 56 |
| 5 |
Juve Stabia
|
33 | 13 | 11 | 9 | +2 | 50 |
| 6 |
Catanzaro
|
33 | 10 | 18 | 5 | +8 | 48 |
| 7 |
Palermo
|
33 | 12 | 9 | 12 | +7 | 45 |
| 8 |
Bari
|
34 | 9 | 17 | 8 | +3 | 44 |
| 9 |
Modena
|
34 | 10 | 14 | 10 | +1 | 44 |
| 10 |
Cesena
|
33 | 11 | 11 | 11 | +1 | 44 |
| 11 |
Carrarese
|
34 | 10 | 11 | 13 | -8 | 41 |
| 12 |
Frosinone
|
34 | 8 | 15 | 11 | -11 | 39 |
| 13 |
Mantova
|
34 | 8 | 13 | 13 | -11 | 37 |
| 14 |
Salernitana
|
34 | 9 | 9 | 16 | -11 | 36 |
| 15 |
Cittadella
|
34 | 9 | 9 | 16 | -22 | 36 |
| 16 |
Brescia
|
34 | 7 | 14 | 13 | -8 | 35 |
| 17 |
Sudtirol
|
33 | 9 | 8 | 16 | -11 | 35 |
| 18 |
Sampdoria
|
34 | 7 | 14 | 13 | -12 | 35 |
| 19 |
Reggiana
|
34 | 8 | 11 | 15 | -12 | 35 |
| 20 |
Cosenza
|
34 | 6 | 13 | 15 | -21 | 31 |
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
J. Ceesay
M
M. Francesconi
M
G. Calò
M
C. Shpendi
F
Coach: M. Mignani
G. Satalino
G
J. Toljan
D
T. Muharemović
D
E. Iannoni
M
A. Ghion
M
D. Berardi
F
L. Moro
F
A. Laurienté
F
Coach: F. Grosso
Green columns are the outcomes that came in.
Cesena
Frosinone
Sudtirol
Cesena
Cesena
Juve Stabia
Cesena
Spezia
Brescia
Cesena
P Tremolada · 40 kamper i vår database
🟥 Red cards: 0,33 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.