Como 1907 vs Venezia FC Prediction Serie A · Nov 1, 2026

Matchday 10

AI prediction: Como 1907 2–1 Venezia FC. Win probabilities — Como 1907 55%, draw 25%, Venezia FC 20%.

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Sunday, November 1, 2026 — 11:30 UTC

Where to Watch

The Serie A clash between Como 1907 and Venezia FC is scheduled soon.

Como enter this match with two wins in five, while Venezia have suffered four defeats in the same span. We predict a 2-1 home victory, with Como carrying the stronger recent profile.

AI-generated prediction · Oct 19, 2026 · How predictions are made · Entertainment only

GPTAdvanced multi-model mix — coming soon

Match Prediction

Como 19072 - 1Venezia FC

55%

25%

20%

Home WinDrawAway Win

High-scoring likely (2.5+)54%

Both Teams Score52%

ConfidenceMedium

Analysis

Como have taken two wins and one draw from their last five matches, scoring seven goals and conceding seven. Venezia have lost four of their last five, with six goals scored and 12 conceded, although their latest result was an encouraging 1-0 win over Napoli. Como are unbeaten across the two listed home games, while Venezia lost both listed away matches and conceded six goals. The standings data contain only team IDs without a team-name mapping, so the exact league positions of Como and Venezia cannot be verified safely. Home advantage and the stronger recent record make Como the likelier winner, but Venezia's Napoli result keeps confidence at medium.

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AI-generated analysis. For entertainment only.

Community Poll

Will Como 1907 vs Venezia FC end in a draw?

A draw is unlikely: the AI gives it 25%, favouring Como 1907 (55%) over Venezia FC (20%). Predicted score 2–1.

Prediction FAQ

What is the predicted score for Como vs Venezia?

The predicted score is Como 2-1 Venezia.

What are the 1X2 probabilities?

Como have a 55% win probability, the draw is 25%, and Venezia have a 20% chance.

Are over 2.5 goals and BTTS likely?

Over 2.5 goals is rated at 54%, while both teams to score is rated at 52%.

Head to Head

No head-to-head results were provided, so no direct-series trend has been used. The assessment is based on recent results and the available standings dataset, whose anonymous team IDs prevent reliable position attribution.

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