TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 6, 4:40 PM EST
Kalshi
This market tracks the likelihood of a draw in the Estonia versus Iceland UEFA Nations League soccer game. Currently, the consensus probability of a draw is 99.5%. This aggregate reflects predictions from Predict, Kalshi, and Polymarket, and will resolve based on whether Estonia wins the game within 90 minutes plus stoppage time, as defined by the resolution source. Keep an eye on October 6, 2026, as this is the scheduled date for the match and the end of the betting period for this market.
This event is for the upcoming UEFA Nations League game, scheduled for Tuesday, October 6, 2026 between Estonia and Iceland.
The markets collectively determine the result of the Estonia vs Iceland UEFA Nations League soccer match scheduled for October 6, 2026, based on the outcome after 90 minutes plus stoppage time. A 'Yes' outcome for either Estonia or Iceland occurs if the respective team wins the match within regulation time. If the game ends in a tie at the conclusion of regulation time, the 'Tie' market resolves to 'Yes.' Should the match be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as per the platform's guidelines. The resolution strictly considers the result within normal time, with no account for extra time or penalty phases, and explicitly states that Kalshi holds no official affiliation with the governing league or its associated entities.
This event is for the upcoming UEFA Nations League game, scheduled for Tuesday, October 6, 2026 between Estonia and Iceland.
Prices on Polymarket and Kalshi can diverge due to several factors. Each platform has its own user base, trading dynamics, and liquidity. 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. Different risk appetites and information access among traders on each platform also contribute to price discrepancies. Furthermore, the specific market structures and fee schedules on Polymarket and Kalshi can influence trading behavior. These variations result in differing probabilities for the same event, offering opportunities for arbitrageurs to profit from the price differences.
Several factors could influence the probabilities in this market. Any news regarding team injuries, changes in coaching staff, or unexpected player suspensions would likely cause shifts in the odds. Significant weather forecasts for the match location could also impact predictions. Public sentiment, as reflected in social media or expert analysis, may also play a role. Finally, large trades on either Polymarket or Kalshi can create momentum and move the market, especially with a volume of $795,381 already traded.