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Serie B
Brescia
U S U S U
1–1
Full-time
Spal
T U U T U

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

Brescia Spal
Last 6 — all competitions · 6/6 matches
Win Ø 17%
33%
0%
Points per game
1,7
0,7
Over 2.5 Ø 25%
17%
33%
Both score Ø 59%
50%
67%
Average goals
1,8
2,5
Scored
1,2
1,0
Conceded
0,7
1,5
Goal diff per game
+0,5
-0,5
This season — Serie B · 35/35 matches
Win Ø 33%
46%
20%
Points per game
1,8
1,0
Over 2.5 Ø 39%
31%
46%
Both score Ø 56%
54%
57%
Average goals
2,4
2,6
Scored
1,5
1,1
Conceded
0,9
1,5
Goal diff per game
+0,5
-0,3
🔒 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: 0–0

12 Shots 12
3 Shots on target 2
7 Corners 6
14 Free kicks against 14
3 Yellow cards 4
0 Red cards 0
The table before the match Brescia 6. · Spal 15.
# Team K V U T +/− P
1 Lecce 36 18 14 4 +28 68
2 Cremonese 36 19 9 8 +18 66
3 Monza 36 18 10 8 +20 64
4 Benevento 35 18 9 8 +28 63
5 Pisa 36 17 12 7 +12 63
6 Brescia 35 16 14 5 +18 62
7 Ascoli 36 17 8 11 +6 59
8 Frosinone 36 15 13 8 +17 58
9 Perugia 35 12 16 7 +7 52
10 Cittadella 36 12 13 11 +2 49
11 Ternana 35 13 9 13 -2 48
12 Reggina 36 13 9 14 -12 48
13 Parma 35 10 15 10 +5 45
14 Como 35 10 14 11 -5 44
15 Spal 35 7 14 14 -12 35
16 Alessandria 36 8 9 19 -21 33
17 Cosenza 36 7 10 19 -24 31
18 Crotone 36 4 13 19 -19 25
19 Vicenza 35 6 7 22 -25 25
20 Pordenone 36 3 8 25 -41 17

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
1,61
U ✓
3,70
B
5,56
Over/under goals
O1,5 ✓
O2,5
1,95
U2,5 ✓
1,81
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.