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Serie B
Brescia
U S U T S
0–3
Full-time
Vicenza
T S 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

Brescia Vicenza
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,8
1,2
Over 2.5 Ø 67%
67%
67%
Both score Ø 84%
100%
67%
Average goals
3,5
2,8
Scored
2,0
1,2
Conceded
1,5
1,7
Goal diff per game
+0,5
-0,5
This season — Serie B · 16/15 matches
Win Ø 26%
31%
20%
Points per game
1,3
1,1
Over 2.5 Ø 61%
75%
47%
Both score Ø 77%
81%
73%
Average goals
3,2
2,9
Scored
1,6
1,3
Conceded
1,6
1,6
Goal diff per game
+0,1
-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: 0–2

13 Shots 12
3 Shots on target 6
4 Corners 3
17 Free kicks against 13
1 Yellow cards 3
0 Red cards 0
The table before the match Brescia 11. · Vicenza 14.
# Team K V U T +/− P
1 Empoli 17 9 7 1 +15 34
2 Salernitana 17 9 4 4 +4 31
3 Monza 17 8 6 3 +13 30
4 Spal 17 8 5 4 +7 29
5 Cittadella 15 8 3 4 +13 27
6 Lecce 17 6 8 3 +9 26
7 Venezia 17 6 7 4 +5 25
8 Frosinone 16 7 4 5 +1 25
9 Chievo 15 6 6 3 +7 24
10 Pordenone 17 5 9 3 +5 24
11 Brescia 16 5 6 5 +1 21
12 Pisa 16 4 8 4 -6 20
13 Reggina 17 4 5 8 -8 17
14 Vicenza 15 3 7 5 -4 16
15 Pescara 17 4 4 9 -13 16
16 Cosenza 17 2 9 6 -3 15
17 Cremonese 17 3 6 8 -8 15
18 Reggiana 16 4 3 9 -12 15
19 Virtus Entella 17 3 5 9 -15 14
20 Ascoli 17 3 4 10 -11 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
2,09
U
3,17
B ✓
3,56
Over/under goals
O1,5 ✓
O2,5 ✓
2,06
U2,5
1,74
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.