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%
Closed: Oct 17, 11:58 AM EST
Kalshi
This group forecasts the outcome of a soccer match between Swansea City AFC and West Ham United FC scheduled for October 17, 2026. Markets exist for each team winning and for the game ending in a draw, all determined by the result after 90 minutes plus stoppage time.
This event is for the upcoming EFL Championship game, scheduled for Saturday, October 17, 2026 between Swansea City AFC and West Ham United FC.
The event determines the winner of the Swansea vs. West Ham professional EFL Championship soccer match scheduled for October 17, 2026, based solely on the result after 90 minutes plus stoppage time, excluding extra time or penalty kicks. Three possible outcomes are considered: a win for Swansea, a win for West Ham, or a tie. If the match ends in a tie after regular time, the 'Tie' market resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, the markets will resolve to a fair price following the platform’s guidelines. The event explicitly excludes outcomes determined during extra time or penalty shootouts, focusing only on the result within the standard match duration.
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. Price discrepancies between Polymarket and Kalshi can arise from several factors. Different user bases on each platform may hold varying beliefs about the Swansea vs. West Ham match, influencing their trading behavior. Trading volume can also be unevenly distributed, with one platform seeing more activity than the other, which impacts price discovery. Furthermore, the specific market structures and fee schedules on Polymarket and Kalshi can contribute to temporary price divergences. These differences are normal and reflect the dynamic nature of prediction markets.