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 market tracks the likelihood of a draw in the September 14, 2026 Super Lig soccer match between Gaziantep FK and Fenerbahçe SK. Currently, the consensus probability of a draw is 100.0%, as aggregated from Polymarket and Kalshi. Resolution will be based on official statistics from the Turkish Football Federation (TFF), with fallback to sources like Flashscore and Sofascore. Keep an eye on the kickoff of the match on September 14, 2026, as the first 90 minutes of play will determine the outcome of this market.
This event is for the upcoming Süper Lig game, scheduled for Monday, September 14, 2026 between Gaziantep FK and Fenerbahçe SK.
The event resolves based on the result of the Gaziantep vs Fenerbahçe professional Super Lig soccer match scheduled for September 14, 2026, after 90 minutes plus stoppage time. Three distinct markets correspond to the possible outcomes: Gaziantep win, Fenerbahçe win, or a tie. If the match concludes with a win for either team within regular time, the respective market resolves to Yes. If the match ends in a tie after regular time, the Tie market resolves to Yes. In the event the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price following platform procedures. The resolution specifically excludes extra time and penalty shootout results.
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 for this market on Polymarket and Kalshi can diverge due to several factors, including differing user bases, trading volumes, and market-specific rules. Polymarket may attract a different type of trader than Kalshi, leading to variations in opinion and price discovery. Additionally, the liquidity and depth of the market on each platform can influence price movements. For example, a large trade on Polymarket might have a more significant impact on the price than the same trade on Kalshi if the latter has higher volume. These factors contribute to the dynamic pricing observed across both platforms.