TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 9, 4:00 PM EST
Kalshi
This group forecasts the outcome of a FIFA Women's World Cup Qualifier match between Northern Ireland and Portugal, scheduled for October 9, 2026. Markets exist for Northern Ireland winning, Portugal winning, and the game ending in a draw. Resolution depends on the result 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 Northern Ireland and Portugal.
The event resolves based on the official result of the Northern Ireland vs Portugal professional FIFA World Cup Qualifiers Women soccer match scheduled for October 9, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. If Northern Ireland wins the match within regulation time, the 'Northern Ireland' market resolves to Yes. If Portugal wins within regulation time, the 'Portugal' market resolves to Yes. If the match ends in a tie after regulation 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 in accordance with the platform's rules. The resolution depends exclusively on the result at the end of regulation time, with no consideration for subsequent proceedings such as extra time or penalty shootouts.
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. Prices on Polymarket and Kalshi can diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and access to information about the Northern Ireland vs. Portugal match. Trading mechanisms also differ; Polymarket may have different order types or liquidity compared to Kalshi. Furthermore, the volume traded on each platform influences price discovery. Lower volume can lead to greater price volatility and divergence, while higher volume tends to converge prices towards a consensus view. These factors contribute to the unique price signals observed on each platform.