TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 10:29 AM EST
Kalshi
This group forecasts the outcome of a soccer match between PEC Zwolle and SC Cambuur-Leeuwarden scheduled for October 11, 2026. Markets exist for each team winning, or the match ending in a draw. Resolution depends on the official match result.
This event is for the upcoming Eredivisie game, scheduled for Sunday, October 11, 2026 between PEC Zwolle and SC Cambuur-Leeuwarden.
The event resolves based on the result of the Zwolle vs Cambuur professional Eredivisie soccer match scheduled for October 11, 2026, after 90 minutes plus stoppage time. There are three possible outcomes: Zwolle win, Cambuur win, or a tie. If the match ends with a win for either Zwolle or Cambuur within regular time, the respective market resolves to Yes. If the match ends in a tie after regular time, 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 according to the platform's guidelines. The resolution excludes extra time and penalty shootout results.
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. Price discrepancies between Polymarket and Kalshi for this market can arise from several factors. Different user bases on each platform may have varying levels of expertise or access to information regarding the PEC Zwolle and SC Cambuur-Leeuwarden teams. Trading volume also plays a role; lower volume on one platform can lead to greater price volatility and divergence. Furthermore, each platform may have slightly different fee structures or liquidity provisions, influencing trader behavior and ultimately, the prices observed for this market. These differences contribute to a dynamic pricing environment.