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Serie B
Spal
S T U T U
2–2
Full-time
Cosenza
T T U T T

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

🔒 Who wins? Pro

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

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Team trends

Spal Cosenza
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,0
0,7
Over 2.5 Ø 42%
33%
50%
Both score Ø 50%
50%
50%
Average goals
2,2
2,5
Scored
1,0
0,8
Conceded
1,2
1,7
Goal diff per game
-0,2
-0,8
This season — Serie B · 32/31 matches
Win Ø 19%
22%
16%
Points per game
1,0
0,8
Over 2.5 Ø 45%
47%
42%
Both score Ø 56%
56%
55%
Average goals
2,7
2,5
Scored
1,2
0,9
Conceded
1,5
1,6
Goal diff per game
-0,3
-0,7
🔒 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

15 Shots 8
6 Shots on target 3
5 Corners 1
13 Free kicks against 10
2 Yellow cards 5
0 Red cards 2
The table before the match Spal 15. · Cosenza 18.
# Team K V U T +/− P
1 Cremonese 32 17 9 6 +18 60
2 Lecce 32 15 14 3 +23 59
3 Pisa 32 16 10 6 +12 58
4 Monza 32 16 9 7 +19 57
5 Brescia 32 15 12 5 +17 57
6 Benevento 31 15 9 7 +22 54
7 Ascoli 32 15 7 10 +5 52
8 Frosinone 32 13 12 7 +15 51
9 Perugia 32 11 14 7 +6 47
10 Cittadella 32 11 11 10 +2 44
11 Ternana 32 12 8 12 +0 44
12 Como 32 10 14 8 -1 44
13 Reggina 32 12 8 12 -8 44
14 Parma 32 9 15 8 +6 42
15 Spal 32 7 12 13 -11 33
16 Alessandria 32 6 8 18 -23 26
17 Vicenza 32 6 6 20 -23 24
18 Cosenza 31 5 9 17 -23 24
19 Crotone 32 3 11 18 -20 20
20 Pordenone 32 2 8 22 -36 14

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
1,83
U ✓
3,40
B
4,47
Over/under goals
O1,5 ✓
O2,5 ✓
2,10
U2,5
1,71
O3,5 ✓
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.