TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 2:05 PM EST
Kalshi
This group forecasts the outcome of a soccer match between Kayserispor and Manisa Futbol Kulubu scheduled for October 10, 2026. Markets exist for Kayserispor winning, Manisa 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 Saturday, October 10, 2026 between Kayserispor and Manisa Futbol Kulubu.
The event resolves based on the full-time result of the Kayserispor vs Manisa professional TFF 1. Lig soccer match scheduled for October 10, 2026, after 90 minutes plus stoppage time, excluding extra time or penalty kicks. If Kayserispor wins, the 'Kayserispor' market resolves to Yes. If Manisa wins, the 'Manisa' market resolves to Yes. If the match ends in a tie, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price in accordance with the rules. The event exclusively considers the result after regular time and stoppage, with no account for extended play or penalty shootouts.
Prediction market odds, like those displayed for this market, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set odds based on models and proprietary information, while prediction markets are driven by user forecasts and real-money incentives. This can lead to discrepancies, especially when public opinion diverges from expert analysis. While both aim to predict the same outcome, the underlying mechanisms and information sources differ, resulting in potentially varied probabilities. Examining both can provide a more well-rounded assessment of the likely result.
Prices on Polymarket and Kalshi for this market may differ due to several factors. 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. Each platform has its own user base, trading fees, and liquidity, which can influence price discovery. Additionally, the specific market design – such as the available contract types or settlement rules – can create variations. Differences in trading volume between the two platforms also play a role; higher volume typically leads to tighter spreads and more efficient pricing. Finally, differing perceptions of risk and information among traders on each platform can contribute to price divergence.