TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 14, 3:03 PM EST
Kalshi
This group forecasts the outcome of a soccer match between Kayserispor and Istanbulspor AS scheduled for September 14, 2026. Markets exist for Kayserispor winning, Istanbulspor winning, or the game ending in a draw. Resolution depends on official match statistics.
This event is for the upcoming Turkey 1. Lig game, scheduled for Monday, September 14, 2026 between Kayserispor and Istanbulspor AS.
The event resolves based on the result of the Kayserispor vs Istanbulspor professional TFF 1. Lig soccer match scheduled for September 14, 2026, after the full 90 minutes of regulation time plus any stoppage time, excluding extra time or penalty kicks. Three distinct outcomes are possible: a win for Kayserispor, a win for Istanbulspor, or a tie. If the match ends in a tie after regulation time, the 'Tie' outcome resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, the market will resolve to a fair price following the platform's guidelines. The event specifically excludes extra time and penalty shootouts in determining the result.
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 can diverge for several reasons, even when tracking the same event. Differences in user base, trading fees, and market-specific rules all contribute to price discrepancies. Polymarket may attract a different type of trader than Kalshi, leading to varying interpretations of available information. Furthermore, liquidity – the volume of trading activity – can impact price stability; a less liquid market is more susceptible to price swings. These factors create opportunities for arbitrage, where traders exploit price differences across platforms.