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 31, 2:58 AM EST
Kalshi
This group forecasts the outcome of a J2 League soccer match between Vanraure Hachinohe FC and Montedio Yamagata on October 31, 2026. Markets exist for Vanraure Hachinohe FC winning, Montedio Yamagata winning, and the game ending in a draw.
This event is for the upcoming J2 League game, scheduled for Saturday, October 31, 2026 between Vanraure Hachinohe FC and Montedio Yamagata.
The event covers three possible outcomes of the Vanraure Hachinohe vs Montedio Japan J2 League soccer match scheduled for October 31, 2026: a win for Vanraure Hachinohe, a win for Montedio, or a tie. Each outcome has a corresponding market that resolves to 'Yes' if that specific result occurs after 90 minutes plus stoppage time, and does not include extra time or penalty shootouts. If the match ends in a tie after 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 based on the circumstances at that time.
Prediction market odds, like those found in this market, often reflect a more diverse range of information than traditional sportsbooks. Sportsbooks typically set odds based on statistical models and expert analysis, while prediction markets incorporate the wisdom of the crowd. This means that prediction markets can sometimes identify discrepancies or undervalued probabilities that sportsbooks miss. However, sportsbooks often have tighter spreads due to lower transaction costs and established risk management practices. The difference in odds can present arbitrage opportunities for informed traders.
Several signals could influence trading activity in this market. Any news regarding team injuries, suspensions, or changes in coaching staff could significantly shift expectations. Unexpected weather conditions on match day could also impact the perceived likelihood of different outcomes. Furthermore, shifts in public sentiment, reflected in social media or news coverage, can drive trading volume and price movements. Finally, any late-breaking information about team formations or tactical approaches could lead to adjustments in the market’s assessment of the potential winner.