TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 8:16 AM EST
Polymarket
This event group covers various betting markets for the upcoming Japan J. League soccer match between Gamba Ōsaka and FC Tōkyō, scheduled for September 12 at 6:00 AM ET. Markets include spreads, over/under totals, and team-specific scoring outcomes across full match, first half, and second half segments.
More markets for the Japan J. League game, scheduled for September 12 at 6:00 AM ET.
The event evaluates various goal-differential scenarios in a Japan J1 League soccer match between V-Varen and Gamba scheduled for September 2, 2026. Resolution occurs solely based on the final score after 90 minutes of regulation time, with no consideration for extra time or penalty phases. Four distinct outcome thresholds are defined: V-Varen must win by more than 2.5 goals, V-Varen must win by more than 1.5 goals, Gamba must win by more than 1.5 goals, or Gamba must win by more than 2.5 goals. If any of these conditions are satisfied for the respective team, the corresponding market resolves positively (Yes). The rules explicitly note that Kalshi holds no official affiliation with the league governing body, and all related trademarks remain property of their original owners.
Price differences between Polymarket and Kalshi arise from varying user bases, liquidity levels, and market design features. 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. For instance, one platform might attract more local fans, skewing its probabilities toward a favored team, while the other reflects a global, more balanced audience. Additionally, differing fee structures and order types can influence how traders place bets, leading to divergent price discovery on closely watched events like this market.
Injuries to key players, weather conditions affecting the match, and tactical changes announced by coaches can all shift this market. Additionally, early goal scoring or momentum swings during the live match often cause rapid probability adjustments. Traders will also watch for any last-minute lineup announcements or disciplinary actions that could impact team performance, all of which may influence odds before the market closes.