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Serie A
Referee: Davide Ghersini
Bologna
U U U T T
0–1
Full-time
Verona
S T T U T

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

Bologna Verona
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,0
0,7
Over 2.5 Ø 42%
17%
67%
Both score Ø 42%
17%
67%
Average goals
1,0
3,5
Scored
0,3
1,2
Conceded
0,7
2,3
Goal diff per game
-0,3
-1,2
This season — Serie A · 30/30 matches
Win Ø 20%
33%
7%
Points per game
1,2
0,6
Over 2.5 Ø 37%
37%
37%
Both score Ø 49%
37%
60%
Average goals
2,2
2,6
Scored
1,0
0,9
Conceded
1,2
1,7
Goal diff per game
-0,2
-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: 0–1

60% Possession 40%
9 Shots 4
1 Shots on target 1
5 Blocked shots 0
0 Goalkeeper saves 1
10 Corners 7
1 Offside 3
0 Free kicks against 0
3 Yellow cards 1
0 Red cards 0
The table before the match Bologna 12. · Verona 20.
# Team K V U T +/− P
1 Juventus 31 23 4 4 +40 73
2 Napoli 31 20 7 4 +36 67
3 Roma 31 18 9 4 +34 63
4 Fiorentina 31 16 8 7 +18 56
5 Inter 31 16 7 8 +11 55
6 Milan 31 13 10 8 +8 49
7 Sassuolo 31 12 12 7 +6 48
8 Lazio 31 11 9 11 -3 42
9 Chievo 31 11 8 12 -3 41
10 Genoa 31 10 7 14 -1 37
11 Torino 31 9 9 13 -4 36
12 Bologna 30 10 6 14 -5 36
13 Atalanta 31 9 9 13 -6 36
14 Empoli 31 9 9 13 -9 36
15 Udinese 31 9 7 15 -17 34
16 Sampdoria 31 8 9 14 -5 33
17 Carpi 31 6 10 15 -20 28
18 Palermo 31 7 7 17 -25 28
19 Frosinone 31 7 6 18 -30 27
20 Verona 30 2 13 15 -25 19

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.

Recent head-to-head meetings

7. Nov -15 Verona – Bologna 0–2

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