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 9, 3:00 PM EST
Kalshi
This group forecasts the outcome of a FIFA Women's World Cup Qualifier match between Czechia and Scotland scheduled for October 9, 2026. Markets exist for Czechia winning, Scotland winning, and the game ending in a draw, all determined after 90 minutes plus stoppage time.
This event is for the upcoming UEFA Women's World Cup Qualification game, scheduled for Friday, October 9, 2026 between Czechia and Scotland.
The event resolves based on the result of the Czechia vs Scotland professional FIFA World Cup Qualifiers Women soccer game scheduled for October 9, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. Three possible outcomes are considered: a win for Czechia, a win for Scotland, or a tie. If the match ends in a tie after regulation time, the 'Tie' outcome resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, the market will resolve to a fair price as determined by the platform. The platform explicitly states it is not affiliated with or connected to the governing league, and all trademarks remain the property of their respective owners.
Prices for this market may differ between Polymarket and Kalshi due to several factors. 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. Each platform has a different user base, trading volume, and fee structure, all of which can influence price discovery. Additionally, information flow and interpretation can vary between the two venues. For example, news regarding team injuries or changes in strategy might be incorporated more quickly on one platform than the other, leading to temporary price discrepancies. These differences are normal and contribute to the overall efficiency of the prediction market ecosystem.