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: Oct 10, 7:27 AM EST
Polymarket
More markets for the K-League game, scheduled for October 10 at 3:30 AM ET.
More markets for the K-League game, scheduled for October 10 at 3:30 AM ET.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market is driven by individuals willing to put their capital behind their beliefs. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the teams’ strengths. It’s common to see prediction markets incorporate information faster than sportsbooks, especially in response to late-breaking news or changes in team conditions. Examining both sets of odds can offer a more comprehensive view.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Gimcheon Sangmu FC versus FC Anyang match will be used to determine the winning share(s). The resolution will be based on the official match results as reported by a trusted sports data provider. This ensures a transparent and objective determination of the outcome, allowing for accurate settlement of all outstanding shares in this market.
Several factors could influence the price of shares in this market before resolution. Any news regarding player injuries, changes in team formations, or even weather conditions could shift trader sentiment. Unexpected announcements about team management or significant performance changes in recent matches could also play a role. Furthermore, public opinion, expert analysis, and even social media buzz surrounding the Gimcheon Sangmu vs. Anyang match can all contribute to price fluctuations as traders react to new information and adjust their predictions.