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%
Time left: 02d:21h:52m
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This event group concerns the outcome of a Saudi Professional League soccer match between Abha Saudi Club and Al Shabab Saudi Club, scheduled for November 5, 2026. Markets ask whether Abha will win, Al Shabab will win, or the game will end in a draw.
In the upcoming Saudi Professional League game between Abha Saudi Club and Al Shabab Saudi Club, originally scheduled for Thursday, November 5, 2026 at 10:10 AM ET (as of creation of the first market related to the event):
The event resolves based on the result of the Abha vs Al-Shabab professional Saudi Pro League soccer match scheduled for November 5, 2026, after 90 minutes plus stoppage time. Three distinct markets correspond to possible outcomes: Abha win, Al-Shabab win, or a tie. If the match concludes with either team winning within regular time, the respective market resolves to Yes. If the match ends in a tie after regular time, the Tie market resolves to Yes. In the event the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined per the platform's guidelines. The event exclusively considers results from standard playing time and does not account for extra time or penalty shootout outcomes.
In the upcoming Saudi Professional League game between Abha Saudi Club and Al Shabab Saudi Club, originally scheduled for Thursday, November 5, 2026 at 10:10 AM ET (as of creation of the first market related to the event):
Prediction market odds, like those seen in this market, often differ from traditional sportsbook odds due to the underlying mechanisms. Sportsbooks set odds to ensure profit, factoring in a 'vig' or commission. Prediction markets, however, are driven by the collective wisdom of traders who are incentivized to accurately forecast the outcome. This can lead to more efficient price discovery, as the market reflects the aggregate belief of informed participants. While sportsbooks may initially react to news and public sentiment, this market continuously adjusts as new information emerges and traders refine their predictions. The volume of $1,097 demonstrates active participation and a dynamic pricing process.
Kalshi 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. Differences in pricing between Kalshi and Predict can arise from several factors. Each platform has its own user base, trading dynamics, and liquidity levels. Kalshi may attract a different type of trader than Predict, leading to varying interpretations of the available information. Additionally, the specific market structures and fee schedules on each platform can influence trading behavior. For example, differing trading limits or commission rates could create price discrepancies. The current volume suggests active trading on Kalshi, potentially contributing to a more refined price signal, while Predict exhibits a different trading pattern.
This market resolves around Nov 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Abha vs Al-Shabab match, as officially recorded by sporting authorities, will determine the winning outcome in this market. Traders will be able to see the final result reflected in the market data shortly after the match concludes. The resolution process ensures a transparent and verifiable outcome for all participants, based on publicly available information.
Several signals could significantly impact this market before it resolves around Nov 5, 2026. Any news regarding key player injuries or suspensions for either Abha or Al-Shabab would likely cause price fluctuations. Changes in team form, such as unexpected wins or losses in preceding matches, could also shift trader sentiment. Furthermore, weather conditions on match day, or even pre-match tactical announcements from the managers, could influence predictions. Major upsets in other relevant matches within the league could also indirectly affect the perceived probabilities, as traders reassess the overall competitive landscape.