TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 25, 10:08 PM EST
Polymarket
This market tracks the outcome of the professional MLS soccer match between Columbus Crew and FC Cincinnati. The aggregated consensus probability for a Columbus Crew win is 82.0%, with a draw as the second outcome at 18.0%. Data is aggregated from Polymarket, Predict, and Kalshi, and resolved using official MLS match statistics via mlssoccer.com. Watch for the match result on July 25, 2026, which will determine the market outcome.
This event is for the upcoming MLS game, scheduled for Saturday, July 25, 2026 between Columbus Crew and FC Cincinnati.
Resolution is based on the final result of the Columbus vs Cincinnati MLS match after 90 minutes plus stoppage time, excluding extra time or penalties. Each outcome—Columbus win, Cincinnati 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 Columbus Crew and FC Cincinnati.
Prediction markets and sportsbooks price outcomes using different mechanisms. Sportsbooks set odds to balance their book and manage risk, while prediction markets derive prices from live trader supply and demand. Prediction market odds often reflect crowd sentiment and can diverge from traditional sportsbook lines, especially as new information emerges closer to kickoff. Neither is inherently more accurate, but comparing both can reveal where smart money is positioning itself and highlight potential value mismatches.
Polymarket and Kalshi may price this market differently for several reasons. 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 attracts distinct trader demographics with different risk appetites and information sets. Trading volume, fee structures, and user interface design also influence how quickly prices adjust to new data. Additionally, the exact wording of each platform's outcome definition can create subtle differences in how traders interpret the same event. These gaps typically narrow as the match approaches and more traders arbitrage across venues.
Key catalysts include team roster updates, injury reports, and recent form heading into the match. Weather conditions on match day can also shift trader sentiment, particularly if rain or extreme heat affects playing style. Any official league announcements regarding venue changes or scheduling adjustments would trigger repricing. Social media sentiment, expert analysis, and betting syndicate activity often precede larger price swings. Monitor both teams' social channels and MLS official communications for breaking news that could reshape market expectations before kickoff.