TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 12, 11:50 AM EST
Kalshi
This market tracks the likelihood of a draw in the upcoming soccer match between Pakhtakor and Al Qadsiah, part of the AFC Champions League. Currently, the consensus probability of a draw is 99.0%, as aggregated from Polymarket, Predict, and Kalshi. Resolution will be based on official match statistics, with potential fallback sources including Flashscore and Sofascore, as defined by the event organizers. Keep an eye on October 12, 2026, as that is the date of the match and the end of the betting period for this market.
This event is for the upcoming AFC Champions League Elite game, scheduled for Monday, October 12, 2026 between Pakhtakor and Al Qadsiah.
The event resolves based on the result of the Pakhtakor vs Al Qadsiah professional AFC Champions League soccer game scheduled for October 12, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. Three distinct markets correspond to possible outcomes: Pakhtakor win, Al Qadsiah win, or a tie. If the match concludes with a win for either team within regular time, the respective market resolves to Yes. If the game ends in a tie after regular time, the Tie market resolves to Yes. In the event the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price following Kalshi's standard procedures. The operator, Kalshi, is unrelated to the governing league, and all trademarks remain property of their respective owners.
This event is for the upcoming AFC Champions League Elite game, scheduled for Monday, October 12, 2026 between Pakhtakor and Al Qadsiah.
Differences in pricing between Polymarket and Kalshi for this market can arise from several factors. Each platform has its own user base, trading dynamics, and fee structures, which can influence how quickly information is incorporated into prices. 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. Furthermore, differing liquidity levels on each platform can lead to price discrepancies. For example, if there is significantly more trading volume on Polymarket, its price may be more responsive to new information than Kalshi’s. Market-specific factors, such as varying interpretations of team news or form, can also contribute to these price differences.