TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 1, 8:30 AM EST
Kalshi
This group forecasts the outcome of a single Indian Super League soccer match between Mumbai City FC and SC Delhi, scheduled for November 1, 2026. Markets exist for Mumbai City FC winning, SC Delhi winning, and the game ending in a draw. Resolution depends on the official match result after 90 minutes plus stoppage time.
This event is for the upcoming Indian Super League game, scheduled for Sunday, November 1, 2026 between Mumbai City FC and SC Delhi.
The markets resolve based on the full-time result of the Mumbai vs SC Delhi professional Indian Super League soccer match scheduled for November 1, 2026, after 90 minutes plus stoppage time, excluding extra time or penalty shootouts. A 'Yes' outcome applies to the respective market if the designated team wins or if the match ends in a tie, as defined in each market’s primary rule. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price following platform guidelines. Kalshi clarifies it holds no official affiliation with the league, and all trademarks remain property of their respective owners.
Prediction market odds often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks set odds to maximize profit, factoring in a margin for themselves, while prediction markets aggregate the beliefs of many individuals, potentially leading to more accurate probabilities. This market, for example, may show a different probability for a draw than a typical sportsbook. Furthermore, prediction markets allow participants to continuously update their beliefs as new information becomes available, making them more dynamic and responsive to changing circumstances. This can result in more efficient price discovery.
Prices for this market on Polymarket and Kalshi may differ due to variations in trader participation, market depth, and perceived information advantages. 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 user base with unique forecasting expertise and risk tolerance, which influences price discovery. Furthermore, trading fees and platform-specific rules can contribute to price discrepancies. It's also possible that differing interpretations of available information about team form, player availability, or tactical approaches lead to divergent opinions reflected in the market prices.