TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 1:07 PM EST
Polymarket
This group forecasts the outcome of a soccer match between Huddersfield Town AFC and Wigan Athletic FC scheduled for October 24, 2026. Markets exist for Huddersfield winning, Wigan winning, and the game ending in a draw. Resolution depends on the official match result after 90 minutes plus stoppage time.
This event is for the upcoming League One game, scheduled for Saturday, October 24, 2026 between Huddersfield Town AFC and Wigan Athletic FC.
The event resolves based on the full-time result of the Huddersfield versus Wigan professional EFL League One soccer match scheduled for October 24, 2026, after 90 minutes plus any stoppage time, but excluding extra time or penalty kicks. Three distinct outcomes are possible: a win for Huddersfield, a win for Wigan, or a tie. If the match concludes with either team winning within regulation time, the corresponding market will resolve to 'Yes.' Should the game end in a tie after regulation, the 'Tie' market resolves to 'Yes.' In the event the match 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’s rules. The markets are independent of any official league affiliations, and all trademarks remain 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. Prices on Polymarket and Kalshi may differ due to variations in user base, trading activity, and market design. Each platform attracts a different set of participants with potentially varying levels of expertise and access to information regarding the Huddersfield vs. Wigan match. Furthermore, the specific rules and fee structures of each platform can influence trading behavior and, consequently, the resulting prices. Differences in liquidity – the volume of trading – can also contribute to price discrepancies, as smaller markets are more susceptible to price swings based on individual trades.