TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 2, 6:07 PM EST
Kalshi
This event group covers the outcome of a professional KNVB soccer match between TOGB and VV Katwijk scheduled for September 2, 2026. The markets focus on determining whether TOGB wins, VV Katwijk wins, or the match ends in a draw within the first 90 minutes of regular play plus stoppage time.
This event is for the upcoming KNVB Beker game, scheduled for Wednesday, September 2, 2026 between TOGB and VV Katwijk.
The markets collectively determine the winner of the SV Togb vs Katwijk professional KNVB soccer match scheduled for September 2, 2026, based exclusively on the result after 90 minutes plus stoppage time, with no consideration for extra time or penalty shootouts. If SV Togb secures a victory during regulation, the 'SV Togb' market resolves to Yes. Conversely, a Katwijk win during regulation results in the 'Katwijk' market resolving to Yes. Should the game conclude in a tie after regulation time, the 'Tie' market resolves to Yes. In the event the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform. These rules ensure that outcomes are strictly tied to regulation-time results, providing clarity and consistency for market resolution.
Prediction market odds on this market often differ from traditional sportsbook lines due to diverse participant motivations and information sources. While sportsbooks may set lines based on analytics and historical data, prediction markets let traders bet directly on outcomes, incorporating real-time news and sentiment. This can create price gaps, especially when insider information or community-driven narratives influence trading. For example, a shift in player availability or weather conditions might move this market faster than sportsbook adjustments, reflecting crowd-sourced expectations rather than institutional modeling.