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 25, 8:29 AM EST
Kalshi
This group forecasts the outcome of a soccer match between Batman Petrolspor and Esenler Erokspor scheduled for October 25, 2026. Markets exist for Batman Petrolspor winning, Esenler Erokspor winning, and the game ending in a draw.
This event is for the upcoming Turkey 1. Lig game, scheduled for Sunday, October 25, 2026 between Batman Petrolspor and Esenler Erokspor.
The event resolves based on the result of the Batman vs Esenler professional TFF 1. Lig soccer game scheduled for October 25, 2026, after 90 minutes plus stoppage time. If Batman wins the match within this timeframe, the 'Batman' market resolves to Yes. If Esenler wins under the same conditions, the 'Esenler' market resolves to Yes. Should the game end in a tie after regular time, the 'Tie' market resolves to Yes. If the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price. The event exclusively considers the result after normal time and does not account for extra time or penalty shootout outcomes.
Prediction market odds, like those displayed for this market, often reflect a more nuanced view than traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by participants directly forecasting the outcome. This can lead to differences, especially when public opinion diverges from expert analysis. Furthermore, prediction markets benefit from continuous updating as new information emerges, whereas sportsbook odds are typically adjusted less frequently. The collective intelligence of traders can sometimes provide more accurate probabilities than those offered by sportsbooks.
Prices on Polymarket and Kalshi for the Batman Petrolspor vs. Esenler Erokspor match can diverge 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 a unique user base with differing opinions and risk tolerance, impacting trading activity and price discovery. Additionally, variations in trading fees, market-making strategies, and liquidity can contribute to price discrepancies. The volume traded on each platform also plays a role; lower volume can lead to greater price volatility and divergence. These differences present opportunities for arbitrage traders to exploit price inefficiencies between the two markets.