TOTAL VOLUME:
$155.2b
24H VOL:
$325,717,424
24H TRANSACTIONS:
3,002,125,488
OPEN INTEREST:
$2,014,438,903
422,382
Markets across
39,948
events
MATCHED EVENTS:
4,398
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 25, 9:15 AM EST
Kalshi
This group forecasts the outcome of a soccer match between WKS Slask Wroclaw and Wieczysta Krakow, scheduled for October 25, 2026. Markets exist for Slask Wroclaw winning, Wieczysta Krakow winning, and the game ending in a draw.
This event is for the upcoming Poland Ekstraklasa game, scheduled for Sunday, October 25, 2026 between WKS Slask Wroclaw and Wieczysta Krakow.
The event covers three possible outcomes for the Slask Wroclaw vs Wieczysta Krakow professional Ekstraklasa soccer match scheduled for October 25, 2026: a win for Slask Wroclaw, a win for Wieczysta Krakow, or a tie. Each outcome has a corresponding market that resolves to Yes if that specific result occurs after 90 minutes plus any stoppage time, but not including extra time or penalties. If the match ends in a tie, the Tie market resolves to Yes. In the event the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform. The rules explicitly state that Kalshi is not affiliated with the governing league, and all trademarks remain the property of their respective owners.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Differences in prices between Polymarket and Kalshi for the Slask Wroclaw vs. Wieczysta Krakow match can arise from several factors. These platforms have different user bases, trading incentives, and liquidity levels, all of which influence price discovery. Furthermore, the specific market designs—such as contract types or fee structures—can create discrepancies. Even with the same underlying event, varying interpretations of team form, potential injuries, or tactical approaches among traders on each platform can lead to divergent probabilities. These differences are normal and reflect the independent nature of each prediction market.