TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 8, 6:04 PM EST
Polymarket
This market tracks whether Al Qadisiyah Saudi Club will win their match against Al Ahli Saudi Club on September 8, 2026. Currently, the consensus probability of Al Qadisiyah winning is 100.0%, aggregating views from Polymarket, Kalshi, and Predict. Resolution will be determined by the result reported at https://www.slstat.com/. Keep an eye on the match itself on September 8, 2026, as the final score will determine the outcome of this market.
This event is for the upcoming Saudi Professional League game, scheduled for Tuesday, September 8, 2026 between Al Qadisiyah Saudi Club and Al Ahli Saudi Club.
Markets resolve to Yes if Al Qadsiah wins by more than 2.5 goals or more than 1.5 goals, or if Al Ahli Saudi wins by more than 1.5 goals or more than 2.5 goals in the professional Saudi Pro League soccer game scheduled for Sep 8, 2026, after 90 minutes plus stoppage time. Extra time and penalty goals do not count toward resolution. Kalshi disclaims any official affiliation with the Governing League, and all trademarks remain property of their respective owners.
This event is for the upcoming Saudi Professional League game, scheduled for Tuesday, September 8, 2026 between Al Qadisiyah Saudi Club and Al Ahli Saudi Club.
Prices on Polymarket and Predict for this market can diverge for several reasons. Polymarket and Predict 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 varying risk tolerances and information sets. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery, while lower volume might result in greater price fluctuations. Furthermore, the specific mechanisms for trading and order execution differ between the two platforms, contributing to potential price discrepancies. These factors create unique market dynamics on each venue.