TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 2:59 AM EST
Kalshi
This group forecasts the outcome of a J2 League soccer match between Fujieda MYFC and Tokushima Vortis on October 24, 2026. Markets exist for Fujieda winning, Tokushima winning, and the game ending in a draw.
This event is for the upcoming J2 League game, scheduled for Saturday, October 24, 2026 between Fujieda MYFC and Tokushima Vortis.
The event resolves based on the result of the Fujieda vs Vortis professional Japan J2 League soccer match scheduled for October 24, 2026, after 90 minutes plus stoppage time. If Fujieda wins, the 'Fujieda' market resolves to Yes. If Vortis wins, the 'Vortis' market resolves to Yes. If the match ends in a tie, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price. The event exclusively considers the result after regular time and stoppage minutes, excluding extra time or penalty shootouts.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of bettors, potentially offering a more accurate forecast than traditional sportsbooks. Sportsbooks set lines to balance their risk, incorporating a profit margin, while prediction markets aim to reflect true probabilities. This market’s implied probability may differ from sportsbook odds due to differing information sources and incentives. However, both provide valuable insights for anyone interested in the Fujieda vs. Tokushima match, and discrepancies can sometimes present arbitrage opportunities.
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. Prices on Polymarket and Kalshi can diverge due to several factors. Each platform attracts a different user base with varying expertise and access to information about the Fujieda vs. Tokushima match. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the specific market structures and fee schedules on Polymarket and Kalshi can influence trading behavior and, consequently, prices. These differences highlight the value of aggregating data across multiple prediction markets.