TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 11:54 PM EST
Kalshi
This group forecasts the outcome of a soccer match between Sint Maarten and Belize, scheduled for September 26, 2026, as part of the Concacaf Nations League. Markets exist for Sint Maarten winning, Belize winning, and the game ending in a draw.
This event is for the upcoming Concacaf Nations League game, scheduled for Saturday, September 26, 2026 between Sint Maarten and Belize.
The event covers three possible outcomes of the Sint Maarten vs Belize professional Concacaf Nations League soccer match scheduled for September 26, 2026: a win for Sint Maarten, a win for Belize, or a tie after 90 minutes plus stoppage time. Each market resolves to 'Yes' if its corresponding outcome occurs. If the match ends in a tie after regulation 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 per the platform's guidelines. The event explicitly excludes extra time and penalty shootouts in determining the result.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of bettors, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set odds based on their own models and aim to balance their risk, while prediction markets are driven by user demand. This can lead to discrepancies, especially when public opinion diverges from the sportsbook's initial assessment. While sportsbooks may incorporate expert analysis, this market benefits from a broader range of participants and real-time adjustments based on information flow. It's important to compare both to gain a well-rounded view.
Prices for the Sint Maarten vs. Belize match may differ between Polymarket and Kalshi 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 a different user base, trading volume, and fee structure, which can influence price discovery. Additionally, the specific mechanisms for trading and order matching on each platform can contribute to price variations. Currently, Polymarket currently favors a draw at 96%, while Kalshi leans toward a draw. These differences highlight the dynamic nature of prediction markets and the impact of platform-specific characteristics on price formation.