TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
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: Nov 1, 4:13 AM EST
Polymarket
In the upcoming K-League game between Pohang Steelers FC and Jeju SK FC, scheduled for November 1, 2026 at 1:00 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 K-League game between Pohang Steelers FC and Jeju SK FC, scheduled for November 1, 2026 at 1:00 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.
Often, prediction market odds reflect a different perspective than those found at traditional sportsbooks. Sportsbooks incorporate a 'vig' or commission into their odds, ensuring a profit margin, while this market allows traders to directly assess the probability of each outcome. This can lead to differences in implied probabilities. However, both aim to accurately forecast the likelihood of events, and significant discrepancies can sometimes present arbitrage opportunities for informed traders. It's common to find that this market incorporates information and analysis from a wider range of sources than a typical sportsbook.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The halftime result of the Pohang Steelers FC versus Jeju SK FC match will be used to determine the winning outcome. This is based on the official result reported by a recognized sports data provider. The platform will verify the result against these sources to ensure accuracy and finalize the market settlement. Traders will then be able to claim their winnings or adjust their positions accordingly.
Several factors could influence the price movement of this market. Any news regarding team injuries, changes in player lineups, or tactical adjustments announced before the match could significantly shift trader sentiment. Unexpected weather conditions at the stadium, or even pre-game analysis from respected sports commentators, could also play a role. Furthermore, large trading volume from informed participants could indicate new information or a change in expectations, causing the odds to adjust rapidly. Monitoring these signals can help traders make more informed decisions.