TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
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2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 9, 12:01 PM EST
Polymarket
In the upcoming Chinese Super League game between Zhejiang Zhiye FC and Shanghai Haigang FC, scheduled for October 9, 2026 at 8:00 AM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
In the upcoming Chinese Super League game between Zhejiang Zhiye FC and Shanghai Haigang FC, scheduled for October 9, 2026 at 8:00 AM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on statistical models and expert analysis, but may also incorporate a profit margin. This market, however, is driven by traders who are incentivized to accurately predict the outcome, potentially leading to more efficient pricing. If there's a significant discrepancy, opportunities may arise for arbitrage, where traders can profit by simultaneously betting on both platforms. However, it’s important to remember that both represent probabilities as perceived by different groups.
This market resolves around Oct 9, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the halftime result of the Zhejiang Zhiye FC versus Shanghai Haigang FC match will be used to determine the winning share(s). The outcome will be based on the official result declared by the governing body of the Chinese Super League. The platform will verify the result against these sources to ensure accuracy and finalize the market settlement.
Several factors could influence this market before resolution. Any news regarding team injuries, suspensions, or changes in coaching staff could significantly shift expectations. Unexpected weather conditions on match day could also play a role, potentially favoring one team’s playing style over another. Furthermore, in-match events, such as early goals or red cards, could dramatically alter the perceived probabilities. Even general sentiment and public opinion, reflected in social media or sports news, can impact trading activity and move the market.