TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 1:50 PM EST
Kalshi
This group forecasts the outcome of a UEFA Nations League soccer match between Malta and Andorra scheduled for October 4, 2026. Markets exist for Malta winning, Andorra winning, and the game ending in a draw. Resolution relies on official match statistics.
This event is for the upcoming UEFA Nations League game, scheduled for Sunday, October 4, 2026 between Malta and Andorra.
The markets resolve based on the result of the Malta vs Andorra UEFA Nations League soccer match scheduled for October 4, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. Three distinct outcomes are possible: Malta win, Andorra win, or a tie. If the match ends in a tie after regular time, the 'Tie' market resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform. The markets are independent of any official affiliations with the governing league, and all trademarks remain property of their respective owners.
This event is for the upcoming UEFA Nations League game, scheduled for Sunday, October 4, 2026 between Malta and Andorra.
Prediction market odds, like those displayed for this market, often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks set odds to maximize profit, factoring in a margin for themselves, while prediction markets allow traders to directly express their beliefs about the probability of an event. This can lead to more accurate probabilities, as they reflect the aggregated knowledge of a diverse group of participants. However, sportsbooks may have access to different information, such as team news or injury reports, which can influence their odds. Ultimately, both offer valuable insights, but prediction markets can sometimes provide a more nuanced view.
On Polymarket, this market is priced based on the supply and demand of traders willing to bet on the outcome, while Kalshi operates with a similar mechanism but potentially different user bases and trading dynamics. 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. This can lead to price discrepancies, even when both platforms are tracking the same event. Differences in trading fees, market maker activity, and the overall risk appetite of users on each platform can also contribute to these divergences. Furthermore, the liquidity of this market may vary between Polymarket and Kalshi, impacting price discovery and potentially creating arbitrage opportunities for sophisticated traders.