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 19, 1:54 PM EST
Polymarket
This event is for the upcoming Indian Super League game, scheduled for Monday, October 19, 2026 between Punjab FC and Mumbai City FC.
This event is for the upcoming Indian Super League game, scheduled for Monday, October 19, 2026 between Punjab FC and Mumbai City FC.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. If a significant discrepancy exists between the two, it could indicate that the market believes the sportsbook has mispriced the probability of a particular result. It’s worth comparing the implied probabilities to see where the market and sportsbooks disagree on the likelihood of each team winning.
This market resolves around Oct 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Punjab FC versus Mumbai City FC match in the Indian Super League. This includes confirming the final score and any official rulings that may affect the outcome. Traders will be able to see the final result reflected in the market’s settlement data shortly after the match concludes and the result is officially announced.
Several factors could influence the price of this market before resolution. Any news regarding team injuries, changes in coaching staff, or significant shifts in team form could impact trader sentiment. Unexpected weather conditions or controversies surrounding the match could also play a role. Furthermore, major tactical adjustments announced by either team leading up to the game, or even in-game events, could cause the market to react and adjust the perceived probabilities of each outcome. Monitoring these signals will be key to understanding potential price movements.