TOTAL VOLUME:

$154.3b

24H VOL:

$219,029,434

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,869,293,526

411,051

Markets across

40,408

events

MATCHED EVENTS:

4,377

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Como vs Venezia: BTTS
kalshi

What is the result of Como vs Venezia?

Volume:
$37,670

Both Teams To Score

 - Kalshi

Both Teams To Score - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 1, 2026

Closed: Nov 1, 8:30 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Both Teams To Score

View
0%
Yes 0¢No 100¢
—
N/A
$37,670
N/A
N/A
$26,414
Settled
No
Total markets: 1

Description

The match features two teams competing in a professional league, where each aims to score goals during the regular playing time, including any added minutes at the end of the match. The focus is on whether both teams manage to find the net at least once within this timeframe. This scenario highlights the offensive performance of both sides in a key fixture of the season.

Kalshi

If Como and Venezia both score a goal in the Como vs Venezia Serie A match originally scheduled for Nov 1, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Como vs Venezia BTTS market tracks the current odds, price history, and 24-hour trading volume. You'll find a visual representation of how the market is moving, allowing you to see where traders are placing their bets. Currently, the 24-hour volume is $31,652 and the total volume traded is $37,670. This provides insight into the level of interest and activity surrounding whether both teams will score in the match. The dashboard is updated in real-time, offering a dynamic view of the market's sentiment.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on statistical models and their own risk assessment, while this market relies on individuals expressing their beliefs through trading. If a significant number of traders believe a sportsbook’s odds are inaccurate, they can influence the price on Kalshi, potentially leading to a divergence. It’s common to see prediction markets incorporating information and perspectives not immediately reflected in traditional betting lines.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about whether both Como and Venezia will score. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded. As more traders participate and new information becomes available, the price adjusts, providing a dynamic assessment of the likelihood of both teams finding the net.

This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on whether both Como and Venezia score at least one goal during the match. The official result, as determined by the governing football league, will be used to determine the winning contracts. Traders holding contracts corresponding to the correct outcome will receive a payout, while those holding contracts on the incorrect outcome will forfeit their investment. The final scoreline will be the deciding factor.

Several factors could influence this market leading up to the match. Any news regarding key player injuries or suspensions for either Como or Venezia would likely cause significant movement. Changes in team form, tactical adjustments, or even weather conditions could also impact trader sentiment. Unexpected news about team morale or managerial decisions could also play a role. Furthermore, any significant betting activity or large trades on Kalshi could quickly shift the price, reflecting a change in perceived probability.