TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 7:56 AM EST
Kalshi
This group covers the Liga Endesa basketball game between Real Madrid and Manresa on October 11th. Markets exist for the outright winner, the point spread, and the over/under total points scored. Resolution depends on the official final score published on acb.com.
In the upcoming Liga Endesa game, scheduled for October 11 at 6:00AM ET: If the Real Madrid win, the market will resolve to "Real Madrid". If the Manresa win, the market will resolve to "Manresa". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods.
The event resolves based on the winner of the men's professional Spain Liga ACB basketball game between Basquet Manresa and Real Madrid, originally scheduled for October 11, 2026, at 6:00 AM EDT. If the game is postponed but commences within 48 hours of its original scheduled start time, markets remain open and resolve according to the official final result. Should the game be cancelled or fail to start within this 48-hour window, all markets resolve to a fair price. Kalshi disclaims any affiliation with the governing league, and all trademarks remain property of their respective owners.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect a more diverse range of information than traditional sportsbooks. Sportsbooks typically set lines based on statistical models and expert analysis, while this market incorporates the wisdom of the crowd. This can lead to differences in probabilities, as prediction markets can quickly adjust to new information or underappreciated factors. While sportsbooks may initially have an edge, prediction markets often become more accurate as the event approaches, particularly when significant volume is traded.
Several signals could significantly impact this market. Any news regarding player injuries, changes in team lineups, or unexpected coaching decisions could shift expectations. Performance in preceding matches, particularly for key players, will also influence trading activity. Furthermore, broader news related to team morale or potential controversies could affect the perceived probabilities. A significant shift in public sentiment, reflected in media coverage or social media trends, could also drive price movement in this market on Polymarket and Kalshi.