TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

Markets across

40,411

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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La Guaira vs Portuguesa
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What is the result of La Guaira vs Portuguesa?

Volume:
$310,801

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 1, 2026

Closed: Nov 1, 8:30 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$92,941
N/A
N/A
$61,009
Settled
Yes
kalshi

La Guaira

0%
Yes 0¢No 100¢
—
N/A
$114,951
N/A
N/A
$63,690
Settled
No
kalshi

Portuguesa

0%
Yes 0¢No 100¢
—
N/A
$102,909
N/A
N/A
$61,713
Settled
No
Total markets: 3

Description

A professional soccer match between La Guaira and Portuguesa in Venezuela will take place, with the result determined by which team wins within the standard 90-minute regulation time plus stoppage time, excluding extra time or penalties.

Kalshi

The market resolves based on the outcome of the La Guaira vs Portuguesa professional Venezuela Liga FUTVE soccer game scheduled for Nov 1, 2026. A win for La Guaira within 90 minutes plus stoppage time resolves the 'La Guaira' market to Yes. A win for Portuguesa within the same time frame resolves the 'Portuguesa' market to Yes. If the game ends in a tie after 90 minutes plus stoppage time, the 'Tie' market resolves to Yes. If the match is cancelled or rescheduled to more than 48 hours later, all markets will resolve to a fair price.

Frequently asked questions

On Kalshi, the dashboard for the La Guaira vs Portuguesa match tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes changes over time, as well as the total volume traded in this market, which currently stands at $271,154 with $248,924 traded in the last 24 hours. This provides a real-time view of where traders are placing their predictions for the outcome of the match.

Often, prediction market odds offer a different perspective than those found at traditional sportsbooks. Sportsbooks set their lines based on a variety of factors, including public betting patterns and expert analysis, but may also include a 'vig' or commission. This market, driven by individual traders, reflects a collective forecast and can sometimes identify discrepancies or inefficiencies in sportsbook pricing. It’s worth comparing the implied probabilities to see if there are opportunities to find value in either venue.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract fluctuates based on supply and demand, reflecting the collective belief of traders about the likelihood of that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders believe an outcome is likely, the higher the price of its corresponding contract will rise, and vice versa. This dynamic pricing mechanism allows the market to aggregate information and generate a forecast.

This market resolves around Nov 2, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the La Guaira vs Portuguesa match, as reported by a recognized sports data provider. Traders will then be able to claim their winnings or fulfill their obligations based on the final outcome. It’s important to monitor the event closely as the resolution date approaches.

Several factors could influence trading activity in this market. Any news regarding team injuries, changes in coaching staff, or unexpected player performance could shift trader sentiment. Additionally, pre-match analysis from sports analysts and public opinion could also play a role. Major upsets in other related matches or broader trends in the league could also impact the perceived probabilities, leading to price movements in this market. Monitoring these signals can help you understand potential shifts in the forecast.