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 26, 2:52 PM EST
Kalshi
This group forecasts the outcome of a soccer match between Mardin 1969 Spor and Manisa Futbol Kulubu, scheduled for October 26, 2026. Markets exist for Mardin winning, Manisa winning, and the game ending in a draw. Resolution relies on official match statistics, with fallback sources specified.
This event is for the upcoming Turkey 1. Lig game, scheduled for Monday, October 26, 2026 between Mardin 1969 Spor and Manisa Futbol Kulubu.
The event covers a professional TFF 1. Lig soccer match scheduled for October 26, 2026, between Mardin and Manisa. The market resolves based on the result after 90 minutes of regular play plus any stoppage time, excluding extra time or penalty shootouts. Three distinct outcomes are possible: a win for Mardin, a win for Manisa, 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 in accordance with the defined rules. Kalshi explicitly states it is not affiliated with the governing league, and all trademarks remain the property of their respective owners.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of traders, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow anyone to express their belief about the probability of an event. This market’s odds may incorporate information not fully captured by sportsbooks, such as real-time news or subtle shifts in team dynamics. Discrepancies can present arbitrage opportunities for informed traders.
Prices on Polymarket and Kalshi can diverge for several reasons. 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 attracts a different pool of traders with varying expertise and risk tolerance. Trading volume and liquidity also play a role; lower volume on one platform can lead to greater price fluctuations. Furthermore, the specific market structures and fee schedules on Polymarket and Kalshi can influence trading behavior and, consequently, prices for this market. These factors contribute to the dynamic pricing observed across different prediction market venues.