Como won 4 of the last 5LWWWW5th1–0Venezia won 2 of the last 5WLLLW19th
Match statistics
Full-time statistics
Como
Venezia
19
Shots
7
4
Shots on target
1
8
Corners
1
5
Fouls
9
1
Yellow cards
2
0
Red cards
0
1
Offsides
3
719
Passes
375
66%
Possession %
34%
1.63
xG
0.23
59%
21%
19%
1 · ComoXVenezia · 2
Over 1.5
84%
Over 2.5
63%
Over 3.5
41%
Both score
60%
Model pick
Como 59%
Likely score
2-1 10%
Expected goals
2.12 – 1.13
Advised bets
No advised bet on this fixture. The available prices are close enough to our own numbers that there is nothing worth backing. Most fixtures end up here, and manufacturing a selection for every game is exactly how tipster records get destroyed.
Our probabilities against the market
Our probability and fair price for every market we publish, next to the best price we last captured and the probability it implies (bookmaker margin included).
Market
Selection
Ours
Fair
Best price
Implied
Gap
Total goals
Under 1.5
16.0%
6.25
7.00 BetVictor
14.3%
+1.7
Total goals
Over 2.5
63.0%
1.59
1.42 Betano
70.4%
-7.4
Total goals
Under 2.5
37.0%
2.71
3.10 Betfair
32.3%
+4.7
Total goals
Over 3.5
40.9%
2.45
2.02 Betano
49.5%
-8.6
Total goals
Under 3.5
59.1%
1.69
1.91 Bet365
52.4%
+6.8
Match result
Como
59.5%
1.68
1.35 Betano
74.1%
-14.6
Match result
Draw
21.4%
4.67
6.20 Dafabet
16.1%
+5.3
Match result
Venezia
19.1%
5.23
9.75 Betano
10.3%
+8.9
Total goals
Over 1.5
84.0%
1.19
1.13 Betano
88.5%
-4.5
Both teams to score
Both teams to score — Yes
60.1%
1.66
1.73 Betfair
57.8%
+2.3
Both teams to score
Both teams to score — No
39.9%
2.50
2.25 Bet365
44.4%
-4.5
A positive gap means our probability is higher than the price implies. That is information, not a recommendation: a pick is only published where the gap clears our bar after allowing for model error, and those appear above.
Como favoured against Venezia
Our model makes Como 59% to win this Serie A fixture, with the draw at 21% and Venezia at 19%. The goal projection is 2.12 for Como against 1.13 for Venezia — a commanding edge to Como on expected output. A combined 3.25 goals points to a high-tempo game with chances at both ends, which puts over 2.5 at 63% and both teams to score at 60%. The single most likely scoreline is 2-1 at 10%, though no individual scoreline is ever likely in absolute terms — that is the nature of a low-scoring sport. This sits in the awkward middle of the distribution, where the model has a view but not a strong one. All figures come from a Dixon–Coles adjusted Poisson model fitted on recent results and expected goals. They are estimates, not forecasts of fact.
Most likely scores
2-1 10%
1-1 10%
2-0 9%
1-0 8%
3-1 7%
This season
Season records for Como and Venezia
Como
Venezia
11
Played
11
7-2-2
W-D-L
2-0-9
2.09
Pts / game
0.55
1.64
Goals for / game
0.73
0.91
Goals against / game
1.91
45%
Over 2.5
36%
55%
BTTS
36%
27%
Clean sheets
9%
27%
Failed to score
55%
3-1-0
Home record
2-0-4
4-1-2
Away record
0-0-5
L1
Streak
W1
2026/27 league matches only, computed from results on record. Como · Venezia
Full-match statistics, per game this season
Produced
Season per-match averages, produced
18.4
Shots
14.0
5.4
Shots on target
4.0
6.5
Corners
4.4
1.38
Cards
1.86
8.1
Fouls
9.0
62
Possession %
44
1.75
xG
1.54
8 matches
sample
7 matches
Conceded
Season per-match averages, conceded
12.6
Shots
16.9
3.6
Shots on target
5.4
4.8
Corners
6.4
1.95
Cards
0.91
11.0
Fouls
8.6
38
Possession %
56
1.26
xG
1.66
8 matches
sample
7 matches
Form comparison
Per-match averages over the last 5 matches (5 in sample), captured when this prediction was published and never recomputed since.
Como
Metric
Venezia
2.00 (better)
Goals scored
1.20
1.00 (better)
Goals conceded
2.40
1.51
Expected goals (xG)
1.60 (better)
—
Big chances *
—
6.00 (better)
Shots on target
4.20
13.20
Total shots
14.00 (better)
—
Touches in opp. box *
—
3.20
Corners
3.60 (better)
56.8 (better)
Possession %
53.2
566 (better)
Passes
465
—
Tackles
—
11.80
Fouls
10.40 (better)
0.80 (better)
Offsides
2.20
—
Throw-ins *
—
1.80 (better)
Yellow cards
3.20
0.00
Red cards
0.00
* Big chances, Touches in opp. box, Throw-ins are not supplied by our current data provider (api-football). Rather than estimate them and present the estimate as a measurement, we show nothing.
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