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 27, 4:45 PM EST
Kalshi
This market tracks the outcome of a UEFA Nations League soccer match between Norway and Portugal, specifically whether Portugal will win on September 27, 2026. Currently, the consensus probability of Portugal winning is 100.0%, aggregating views from Kalshi, Predict, and Polymarket. Resolution will be 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 27, 2026, as the final whistle will determine the outcome and settle this market.
This event is for the upcoming UEFA Nations League game, scheduled for Sunday, September 27, 2026 between Norway and Portugal.
The market resolves based on the result of the Norway vs Portugal UEFA Nations League soccer match scheduled for September 27, 2026, after 90 minutes plus stoppage time. A win for Norway resolves the 'Norway' market to Yes; a win for Portugal resolves the 'Portugal' market to Yes; a tie resolves the 'Tie' market to Yes. If the match is cancelled or rescheduled to more than 48 hours later, all markets resolve to a fair price. The markets are independent of league affiliations and trademarks remain property of respective owners.
This event is for the upcoming UEFA Nations League game, scheduled for Sunday, September 27, 2026 between Norway and Portugal.
Prediction market odds often differ from traditional sportsbook odds due to the differing incentives and information sources of participants. Sportsbooks set lines to balance action and ensure profit, while prediction market participants are incentivized to accurately forecast the outcome. This can lead to prediction markets reflecting a 'wisdom of the crowd' effect, potentially identifying mispriced probabilities. While both aim to predict the same event, the mechanisms and participant motivations create distinct pricing dynamics. It's common to see discrepancies, especially when public sentiment strongly favors one outcome.
Prices on Polymarket and Kalshi for this market 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 fees, and liquidity, all of which can influence price discovery. Differences in market design, such as margin requirements or order types, can also contribute to price discrepancies. Furthermore, differing opinions and information available to traders on each platform can lead to varied assessments of the probability of each outcome. The current volume on each platform also plays a role; higher volume generally indicates greater price efficiency and consensus.