TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 25, 2:05 PM EST
Kalshi
This market tracks whether Georgia will win its UEFA Nations League soccer match against Northern Ireland on September 25, 2026. Currently, the consensus probability of Georgia winning is 100.0%. This forecast is an aggregation of views from Kalshi, Predict, and Polymarket, and will resolve based on official statistics of the event as recognized by the governing body or event organizers (UEFA). Keep an eye on the match itself on September 25, 2026, to see if Georgia secures a victory within the standard 90 minutes of play plus stoppage time.
This event is for the upcoming UEFA Nations League game, scheduled for Friday, September 25, 2026 between Georgia and Northern Ireland.
This event covers three possible outcomes of a UEFA Nations League soccer match between Georgia and Northern Ireland. A market resolves to Yes if the specified team wins after 90 minutes plus stoppage time, or if the match ends in a tie. If the game is canceled or rescheduled by more than 48 hours, all markets resolve at a fair price. The contest excludes extra time and penalty shootout results, focusing only on the regular-time conclusion.
This event is for the upcoming UEFA Nations League game, scheduled for Friday, September 25, 2026 between Georgia and Northern Ireland.
Prices for this market on Polymarket and Kalshi may diverge 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 its own user base, trading fees, and liquidity, which can influence price discovery. Differences in the types of traders participating on each platform – for example, more sophisticated or casual bettors – can also lead to varying valuations. Furthermore, the volume traded on each platform impacts price sensitivity; a larger volume on Polymarket might result in a more stable price compared to Kalshi with lower volume. These factors contribute to the observed price discrepancies.