TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 27, 9:54 PM EST
Kalshi
This group forecasts the outcome of a soccer match between Dominica and Puerto Rico scheduled for September 27, 2026, as part of the Concacaf Nations League. Markets exist for Dominica winning, Puerto Rico winning, and the game ending in a draw.
This event is for the upcoming Concacaf Nations League game, scheduled for Sunday, September 27, 2026 between Dominica and Puerto Rico.
The market resolves based on the result of the Dominica vs Puerto Rico professional Concacaf Nations League soccer game scheduled for Sep 27, 2026, after 90 minutes plus stoppage time. A win for Dominica resolves the "Dominica" market to Yes; a win for Puerto Rico resolves the "Puerto Rico" market to Yes; a tie resolves the "Tie" market to Yes. If the game is cancelled or rescheduled to over 48 hours away, the market will resolve to a fair price according to the rules.
Prediction market odds often differ from traditional sportsbook odds due to the different incentives and information sources at play. Sportsbooks set lines to balance action and ensure profit, while prediction markets aggregate the beliefs of a diverse group of forecasters. This can lead to prediction markets being more accurate, particularly when incorporating information not readily reflected in sportsbook lines. The efficiency of this market will be visible as traders react to news and adjust probabilities, potentially offering value compared to conventional betting options. It's a unique way to assess the likely result of the Dominica vs. Puerto Rico match.
Prices 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 incentives, and liquidity, which can influence price discovery. Furthermore, the differing fee structures and market-making activity on each platform contribute to price discrepancies. While both platforms are tracking the same event—the Dominica vs. Puerto Rico match—the composition of traders and their individual risk assessments lead to variations in how probabilities are expressed. These differences are normal and reflect the dynamic nature of prediction markets.