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Serie B
Vicenza
T T U T T
2–3
Full-time
Brescia
T S U S S

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

Vicenza Brescia
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
0,7
1,7
Over 2.5 Ø 34%
50%
17%
Both score Ø 42%
50%
33%
Average goals
3,0
2,0
Scored
1,0
1,0
Conceded
2,0
1,0
Goal diff per game
-1,0
+0,0
This season — Serie B · 12/12 matches
Win Ø 33%
8%
58%
Points per game
0,3
2,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 54%
50%
58%
Average goals
2,8
3,1
Scored
0,8
1,9
Conceded
2,0
1,2
Goal diff per game
-1,2
+0,8
🔒 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: 1–2

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

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
3,33
U
3,27
B ✓
2,17
Over/under goals
O1,5 ✓
O2,5 ✓
1,95
U2,5
1,85
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.