TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 6, 8:43 AM EST
Polymarket
This group forecasts the outcome of a J1 League soccer match between FC Tōkyō and Kyōto Sanga FC on September 6, 2026. Markets cover which team will win or if the match will end in a draw, as well as win margins exceeding specific goal thresholds.
This event is for the upcoming Japan J. League game, scheduled for Sunday, September 6, 2026 between FC Tōkyō and Kyōto Sanga FC.
The event evaluates multiple possible outcomes of the Tokyo versus Kyoto Sanga match scheduled for September 6, 2026, in Japan's J1 League, each defined by specific goal-differential thresholds. If Tokyo wins by more than 2.5 goals, or by more than 1.5 goals, that outcome resolves positively for Tokyo-related markets. Conversely, if Kyoto Sanga wins by more than 1.5 goals, or by more than 2.5 goals, that resolves positively for Kyoto Sanga-related markets. All resolutions are determined solely by the final score after 90 minutes plus any stoppage time, with no consideration for extra time or penalty shootouts. The event explicitly states that the platform operating these markets—Kalshi—is not affiliated with, endorsed by, or connected to the governing league, and all trademarks and brand names belong to their respective owners.
Differences in prices between Polymarket and Kalshi for this market can arise from several factors. Each platform has its own user base, trading dynamics, and fee structure, which can influence price discovery. 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. Furthermore, the liquidity and volume on each platform can vary significantly, leading to price discrepancies. Different interpretations of available information, such as team form, injuries, or weather conditions, among traders on each platform can also contribute to diverging probabilities. These factors combine to create potentially different market assessments on Polymarket and Kalshi.