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Serie A
Referee: M Piccinini
Como
U U T U T
2–2
Full-time
Bologna
U T U T U

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

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
🔒 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

Como Bologna
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,7
1,0
Over 2.5 Ø 25%
17%
33%
Both score Ø 50%
50%
50%
Average goals
1,7
2,8
Scored
0,5
1,2
Conceded
1,2
1,7
Goal diff per game
-0,7
-0,5
xG created Pro
xG conceded Pro
xG diff Pro
This season — Serie A · 3/3 matches
Win Ø 0%
0%
0%
Points per game
0,3
0,7
Over 2.5 Ø 33%
33%
33%
Both score Ø 50%
33%
67%
Average goals
2,0
2,3
Scored
0,3
0,7
Conceded
1,7
1,7
Goal diff per game
-1,3
-1,0
xG created Pro
xG conceded Pro
xG diff Pro
🔒 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: 1–0

1,17 xG 1,20
44% Possession 56%
14 Shots 14
4 Shots on target 4
4 Blocked shots 5
2 Goalkeeper saves 3
4 Corners 3
2 Offside 4
17 Free kicks against 12
2 Yellow cards 1
0 Red cards 0
The table before the match Como 20. · Bologna 18.
# Team K V U T +/− xG +/− P
1 Inter 3 2 1 0 +6 +1.9 7
2 Juventus 3 2 1 0 +6 +1.8 7
3 Torino 3 2 1 0 +2 -1.7 7
4 Udinese 3 2 1 0 +2 -3.4 7
5 Verona 3 2 0 1 +2 +0.2 6
6 Napoli 3 2 0 1 +1 +1.4 6
7 Empoli 3 1 2 0 +1 +0.4 5
8 Lazio 3 1 1 1 +1 +3.0 4
9 Parma 3 1 1 1 +0 +0.4 4
10 Genoa 3 1 1 1 -1 +0.4 4
11 Fiorentina 3 0 3 0 +0 +1.0 3
12 Atalanta 3 1 0 2 -1 +1.0 3
13 Lecce 3 1 0 2 -5 -2.5 3
14 Milan 3 0 2 1 -1 +0.6 2
15 Monza 3 0 2 1 -1 -2.1 2
16 Roma 3 0 2 1 -1 -0.8 2
17 Cagliari 3 0 2 1 -1 -0.5 2
18 Bologna 3 0 2 1 -3 +0.8 2
19 Venezia 3 0 1 2 -3 -2.2 1
20 Como 3 0 1 2 -4 +0.4 1

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
3,01
U ✓
3,21
B
2,51
Over/under goals
O1,5 ✓
O2,5 ✓
2,24
U2,5
1,67
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

M Piccinini · 104 kamper i vår database

🟨 Yellow cards
4,4 / match
Average
⚽ Free kicks
26,3 / match
Above average

🟥 Red cards: 0,16 per match

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