TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 24, 4:45 PM EST
Kalshi
This market tracks whether Austria will win their UEFA Nations League soccer match against Israel on September 24, 2026. Currently, the consensus probability of Austria winning is 99.5%. This prediction aggregates data 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 24, 2026, to see if Austria secures the win as currently anticipated.
This event is for the upcoming UEFA Nations League game, scheduled for Thursday, September 24, 2026 between Austria and Israel.
The markets resolve based on the official result of the Austria vs Israel UEFA Nations League soccer match scheduled for September 24, 2026, after 90 minutes plus stoppage time, excluding extra time or penalty shootouts. A 'Yes' outcome for either Austria or Israel occurs if that respective team wins the match outright within regulation time. The 'Tie' market resolves to 'Yes' if the game concludes with an equal score after regulation. If 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 per the platform’s guidelines. The markets are independent of any official league affiliations, and all trademarks remain property of their respective owners.
This event is for the upcoming UEFA Nations League game, scheduled for Thursday, September 24, 2026 between Austria and Israel.
Prices for this market on Polymarket and Kalshi can 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 dynamics, and risk assessments, leading to differing probabilities. For example, Polymarket might attract more informed bettors with specific knowledge of the teams, while Kalshi could have a broader, more general audience. Furthermore, differing liquidity levels and trading fees on each platform can also contribute to price discrepancies, even when reflecting the same underlying event. These factors create opportunities for arbitrage and highlight the value of cross-platform analysis.