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 13, 3:04 PM EST
Kalshi
This group forecasts the outcome of a soccer match between Bursaspor and Esenler Erokspor scheduled for September 13, 2026. Markets exist for Bursaspor winning, Esenler Erokspor winning, and the game ending in a draw. Resolution relies on official match statistics.
This event is for the upcoming Turkey 1. Lig game, scheduled for Sunday, September 13, 2026 between Bursaspor and Esenler Erokspor.
The event resolves based on the result of the Bursa vs Esenler professional TFF 1. Lig soccer match scheduled for September 13, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome occurs if the specified team wins the match within regulation time. If the game ends in a tie after regulation, the 'Tie' market resolves to 'Yes.' If the match is canceled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price. The event exclusively considers regulation time results, excluding extra time or penalty shootout outcomes.
Prediction market odds, like those displayed for this market, often differ from traditional sportsbook odds due to the different incentives and information sources involved. Sportsbooks set odds to maximize profit, incorporating a margin for themselves, while prediction markets allow users to directly trade on their beliefs. This can lead to more accurate probabilities, as the market aggregates diverse perspectives. Furthermore, prediction markets benefit from continuous trading, allowing odds to adjust rapidly to new information, whereas sportsbook odds are typically updated less frequently. The efficiency of this market can provide a valuable signal compared to traditional betting venues.
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. Price discrepancies between Polymarket and Kalshi are common due to variations in trader demographics, market design, and liquidity. Polymarket might attract a different class of participant than Kalshi, leading to differing interpretations of the same information regarding the Bursaspor vs. Esenler Erokspor match. Furthermore, the specific rules and fee structures on each platform can influence trading behavior and, consequently, the prices observed. These factors contribute to the dynamic interplay between the two markets, creating opportunities for arbitrage and highlighting the diverse perspectives within the prediction market ecosystem.