TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 7, 3:03 PM EST
Kalshi
This group forecasts the outcome of a TFF 1. Lig soccer match between Manisa Futbol Kulubu and Bursaspor, scheduled for September 7, 2026. Markets exist for Manisa winning, Bursaspor winning, and the game ending in a draw.
This event is for the upcoming Turkey 1. Lig game, scheduled for Monday, September 7, 2026 between Manisa Futbol Kulubu and Bursaspor.
The event covers a professional TFF 1. Lig soccer match between Manisa and Bursa scheduled for September 7, 2026. The market resolves based on the result after the full 90 minutes of regulation play plus any stoppage time, excluding extra time or penalty kicks. Three distinct outcomes are possible: a win for Manisa, a win for Bursa, or a tie. If the match ends in a tie after regulation time, the 'Tie' market 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 platform explicitly states it 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. Prices on Polymarket and Kalshi can differ due to several factors. Each platform has its own user base with varying expertise and information, leading to different interpretations of the likely outcome of the Manisa vs. Bursaspor match. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the platforms may have different fee structures or liquidity provisions, influencing trading behavior and ultimately, the displayed probabilities. These factors contribute to the observed differences in pricing for this market.