TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:20h:07m
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This group covers markets on the outcome of a Major League Soccer (MLS) match between D.C. United and New York City FC, scheduled for November 7, 2026. Markets ask whether D.C. United will win, New York City FC will win, or the game will end in a draw.
This event is for the upcoming MLS game, scheduled for Saturday, November 7, 2026 between D.C. United SC and New York City FC.
This event is for the upcoming MLS game, scheduled for Saturday, November 7, 2026 between D.C. United SC and New York City FC.
Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Price discrepancies between Polymarket and Predict can occur due to variations in user base, trading activity, and market-specific factors. Polymarket may attract a different demographic of traders than Predict, leading to differing opinions and price discovery. Additionally, the volume of trading on each platform can influence price movements; higher volume generally leads to tighter spreads, while lower volume can result in greater price volatility. These factors contribute to the observed differences in pricing for this market, even though both platforms address the same underlying event.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official outcome of the D.C. United SC vs. New York City FC match, as reported by official league sources. Traders will be able to see the final result reflected in the market's settlement data shortly after the match concludes. The platform will verify the outcome against established sports data providers to ensure accuracy and transparency.
Several factors could significantly impact this market. Any news regarding key player injuries or suspensions for either D.C. United or NYCFC would likely cause price fluctuations. Changes in team form, such as a surprising win or loss in a preceding match, could also shift probabilities. Unexpected weather conditions on the day of the match, or even tactical changes announced by the coaches, could influence trader sentiment. Major announcements related to team ownership or management could also introduce volatility, as could significant shifts in public betting patterns on traditional sportsbooks.