TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Basket Brno vs Sluneta Usti nad Labem
kalshi

What is the result of Basket Brno vs Sluneta Usti nad Labem?

Volume:
$1,123

Sluneta Usti nad Labem

 - Kalshi

Sluneta Usti nad Labem - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 4, 2026

Closed: Oct 4, 2:20 PM EST

kalshi

Kalshi

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

Sluneta Usti nad Labem

View
100%
Yes 100¢No 0¢
—
N/A
$985
N/A
N/A
$816
Settled
Yes
kalshi

Basket Brno

0%
Yes 0¢No 100¢
—
N/A
$138
N/A
N/A
$126
Settled
No
Total markets: 2

Description

A competitive Czech NBL basketball match features these two teams battling for supremacy. The game's outcome will impact league standings and team momentum significantly.

Kalshi

Markets resolve to Yes if the named team wins the specified men's professional Czech NBL basketball game scheduled for Oct 4, 2026 at 12:00 PM EDT. If postponed but started within 48 hours, markets remain open and resolve based on final result. Cancellations or failure to start within 48 hours lead to fair price resolution. Kalshi disclaims affiliation with the governing league, and all trademarks belong to respective owners.

Frequently asked questions

On Kalshi, the dashboard for this market tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how the market is pricing the outcome of the Basket Brno versus Sluneta Usti nad Labem game within the Czech basketball league. Currently, the total volume traded is $1,123, with $1,123 traded in the last 24 hours. This allows you to see how sentiment shifts over time and understand the level of interest in each possible outcome.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individual traders. If a significant number of people believe an outcome is more likely than a sportsbook suggests, the price on Kalshi will move accordingly. It’s common to see discrepancies, especially before significant events or when new information emerges, offering potential value for informed traders.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of a particular outcome. The price of a contract reflects the market’s collective assessment of that outcome's likelihood. 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 they profit from correctly anticipating the event's outcome. As more traders participate and new information becomes available, the price will adjust to reflect the evolving consensus.

This market resolves around Oct 4, 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 Basket Brno versus Sluneta Usti nad Labem game in the Czech basketball league. The platform will verify the result against established sports data sources to determine which outcome corresponds to the actual game result. Traders holding contracts on the correct outcome will receive a payout.

Several factors could influence the price of this market before it resolves. Any news regarding player injuries, changes in team lineups, or coaching decisions could shift expectations. Unexpected performance in other games leading up to the event, or even weather conditions impacting travel, might also play a role. Public sentiment, reflected in social media or expert analysis, can also influence trading activity on Kalshi, leading to price movements. Monitoring these signals can help traders identify potential opportunities.