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Serie B
Spal
T U S T U
0–2
Full-time
Cremonese
S U S T S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Spal Cremonese
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,3
1,8
Over 2.5 Ø 59%
50%
67%
Both score Ø 59%
50%
67%
Average goals
2,8
2,3
Scored
1,5
1,2
Conceded
1,3
1,2
Goal diff per game
+0,2
+0,0
This season — Serie B · 30/30 matches
Win Ø 38%
23%
53%
Points per game
1,1
1,9
Over 2.5 Ø 47%
47%
47%
Both score Ø 55%
57%
53%
Average goals
2,6
2,5
Scored
1,2
1,5
Conceded
1,5
1,0
Goal diff per game
-0,3
+0,5
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 0–1

13 Shots 9
2 Shots on target 3
3 Corners 2
16 Free kicks against 17
1 Yellow cards 1
0 Red cards 0
The table before the match Spal 15. · Cremonese 4.
# Team K V U T +/− P
1 Pisa 31 16 10 5 +16 58
2 Monza 31 16 9 6 +21 57
3 Lecce 31 14 14 3 +22 56
4 Cremonese 30 16 8 6 +16 56
5 Brescia 30 14 11 5 +15 53
6 Benevento 30 14 9 7 +18 51
7 Frosinone 31 13 12 6 +16 51
8 Ascoli 31 14 7 10 +4 49
9 Perugia 31 11 13 7 +6 46
10 Cittadella 31 11 11 9 +3 44
11 Reggina 31 12 7 12 -8 43
12 Ternana 31 11 8 12 -1 41
13 Como 31 9 14 8 -3 41
14 Parma 31 8 15 8 +4 39
15 Spal 30 7 11 12 -9 32
16 Alessandria 31 6 7 18 -23 25
17 Vicenza 31 6 6 19 -21 24
18 Cosenza 30 5 9 16 -21 24
19 Crotone 31 3 10 18 -20 19
20 Pordenone 30 2 7 21 -35 13

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H
3,16
U
3,16
B ✓
2,30
Over/under goals
O1,5 ✓
O2,5
2,17
U2,5 ✓
1,65
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.