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: Jul 25, 8:42 PM EST
Kalshi
This market tracks the result of the Major League Soccer match between New York Red Bulls and Charlotte FC. The aggregated consensus probability for a New York Red Bulls win is 95.0%, with a draw at 5.0%. Data is drawn from Kalshi, Polymarket, and Predict, with resolution details available on mlssoccer.com. Watch for the match scheduled for July 25, 2026, as this will determine the outcome.
This event is for the upcoming MLS game, scheduled for Saturday, July 25, 2026 between New York Red Bulls and Charlotte FC.
Resolution is based on the final result of the New York RB vs Charlotte MLS match after 90 minutes plus stoppage time, excluding extra time or penalties. Each outcome—New York RB win, Charlotte win, or tie—has a corresponding market that resolves to Yes if that result occurs. If the game is cancelled or rescheduled to more than two weeks away, the market will resolve to a fair price in accordance with the rules.
This event is for the upcoming MLS game, scheduled for Saturday, July 25, 2026 between New York Red Bulls and Charlotte FC.
Prediction markets and sportsbooks price outcomes differently because they operate under distinct incentive structures. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. This market's odds reflect what thousands of independent traders believe will happen, often incorporating real-time information faster than traditional sportsbooks adjust their lines. Comparing the two can reveal where public sentiment diverges from bookmaker pricing, though both should be viewed as estimates rather than certainties.
Key injury announcements, roster changes, or managerial decisions for either team can shift trader sentiment significantly. Recent form, head-to-head records, and league standings may influence positioning as the match date approaches. Weather conditions and venue factors occasionally impact prediction markets when they become public. Breaking news about player availability or tactical shifts often triggers sharp price movements in the final days. Monitor official team communications and sports news outlets for developments that could alter the competitive balance.