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 2, 1:01 PM EST
Kalshi
A high-profile continental club competition will feature a match between two renowned teams. The settlement depends exclusively on the standing after the regular duration of the match.
The market resolves based on the result of the Al Sadd vs Al Ahli Saudi AFC Champions League soccer match scheduled for Nov 2, 2026, after 90 minutes plus stoppage time. If Al Sadd wins, that market resolves to Yes. If Al Ahli Saudi wins, its market resolves to Yes. If the match ends in a tie, the Tie market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours away from the original date, all markets will resolve to a fair price.
Often, prediction market odds reflect a different perspective than those offered by traditional sportsbooks. Sportsbooks may incorporate factors like public betting biases or promotional offers into their lines, while this market relies on the collective judgment of informed traders. If there’s a significant discrepancy, it could indicate that prediction market participants believe the sportsbook is mispricing the probability of a particular outcome. Keep in mind that these are distinct sources of information, each with its own strengths and weaknesses.
This market resolves around Nov 2, 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 Al Sadd vs Al Ahli Saudi match. Any official postponements or cancellations will be reflected in the market’s resolution process, ensuring a fair and accurate outcome. Traders should monitor official sources for updates as the event approaches.
Several factors could influence the price of this market before Nov 2, 2026. Any news regarding player injuries, changes in team lineups, or unexpected coaching decisions could significantly shift expectations. Furthermore, real-time performance during the match itself – such as early goals or red cards – will undoubtedly cause rapid price adjustments. Broader sporting news or even weather conditions could also play a role, as traders react to any information that impacts the perceived probability of each outcome.