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 24, 3:58 AM EST
Kalshi
This group forecasts the outcome of a J1 League soccer match between Vissel Kōbe and FC Machida Zelvia on October 24, 2026. Markets exist for Vissel Kōbe winning, FC Machida Zelvia winning, and the game ending in a draw.
This event is for the upcoming Japan J. League game, scheduled for Saturday, October 24, 2026 between Vissel Kōbe and FC Machida Zelvia.
The event resolves based on the result of the Kobe vs Machida Z professional Japan J1 League soccer match scheduled for October 24, 2026, after 90 minutes plus stoppage time, excluding extra time or penalty kicks. Three distinct outcomes are possible: a win for Kobe, a win for Machida Z, or a tie. If the match concludes with a draw at the end of regulation time, the Tie market resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform. The event exclusively considers the result within standard time and does not account for any post-regulation deciding factors such as extra time or penalties.
Prediction market odds, like those found in this market, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow traders to freely express their beliefs. This can lead to discrepancies, especially when significant public information isn't fully priced into sportsbook lines. However, both types of odds aim to accurately predict the probability of an event, and comparing them can be a valuable exercise for informed decision-making.
Differences in pricing between Polymarket and Kalshi for this market can arise from several factors. Polymarket and Kalshi 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 appetites and information sets, leading to distinct trading behaviors. Furthermore, the liquidity and volume on each platform – currently $295,269 total – can influence price discovery. Trading fees and platform-specific rules might also contribute to discrepancies. Finally, differing interpretations of available information regarding team form, injuries, and other relevant factors can cause the odds to diverge.