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, 5:02 AM EST
Kalshi
The match features two competing teams battling for supremacy in a league fixture. Players from both sides will strive to find the back of the net within the allotted regular time. The outcome hinges on whether each team manages to score at least one goal during this period.
If Gamba and Kyoto Sanga both score a goal in the Gamba vs Kyoto Sanga Japan J1 League match originally scheduled for Oct 24, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance action, while this market aggregates the beliefs of many individual traders. If a significant number of people believe both teams will score, the price will move in that direction, potentially offering different value than what is available at a sportsbook. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts closer to the event date.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on whether both Gamba Osaka and Kyoto Sanga score at least one goal during the scheduled match. Official match results from a recognized sporting authority will be used to determine if both teams scored, and therefore, the outcome of this market. Any potential extra time or penalty shootouts will not be considered for resolution.
Several factors could influence the price of this market. News regarding key player injuries or suspensions for either Gamba Osaka or Kyoto Sanga would likely have a significant impact. Changes in team form, such as a recent winning or losing streak, could also shift trader sentiment. Unexpected weather conditions on match day, or even tactical changes announced by the managers, could also cause movement. Finally, any public statements from players or coaches related to their offensive strategy could influence how traders assess the likelihood of both teams scoring.