TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 17, 10:30 PM EST
Kalshi
This market tracks the outcome of the July 17, 2026 MLS soccer match between Nashville SC and Atlanta United FC. Across Kalshi and Polymarket, the consensus probability for Nashville to win stands at 84.0%. Resolution will be determined by official MLS Soccer scores published at mlssoccer.com/schedule/scores. Watch for any weather or scheduling announcements in the days leading up to the July 17 match date, as cancellations without rescheduling could trigger divergent resolutions across platforms.
This event is for the upcoming MLS game, scheduled for Friday, July 17, 2026 between Nashville SC and Atlanta United FC.
Resolution is based on the final result of the Nashville vs Atlanta United MLS match on July 17, 2026, evaluated at the conclusion of 90 minutes plus stoppage time, excluding extra time and penalties. Three mutually exclusive outcomes are possible: Nashville wins, Atlanta wins, or the match ends in a tie. Each outcome resolves to Yes if that result occurs. If the match is cancelled or rescheduled to more than two weeks after the original date, the market resolves to a fair price in accordance with standard procedures.
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, often adjusting lines based on betting volume rather than pure probability. Prediction markets, by contrast, rely on traders putting real capital at risk to express their beliefs; prices emerge from continuous supply and demand. This can make prediction markets more efficient at incorporating new information, though sportsbook odds may reflect sharper professional action. Comparing both sources often reveals valuable arbitrage opportunities and helps you calibrate confidence in any single forecast.
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 different trader demographics, liquidity pools, and fee structures, all of which influence how prices settle. Polymarket may draw more casual forecasters, while Kalshi could have deeper institutional participation—or vice versa. Trading hours, minimum bet sizes, and platform-specific incentives also shape order flow. Additionally, one venue may have fresher information or faster price discovery if its user base reacts more quickly to breaking news. These differences typically narrow as the event approaches, but they create real opportunities for traders monitoring both venues simultaneously.
Key injury announcements, lineup changes, or roster updates for either team can trigger sharp repricing, especially if a star player is ruled out. Recent form, head-to-head history, and travel logistics also influence trader sentiment. Weather conditions on match day may favor one side's style of play. Betting action from professional syndicates or sudden volume spikes on either platform can signal new information entering the market. Team statements, coaching changes, or late-breaking tactical news in the hours before kickoff often produce the most dramatic price swings. Monitoring both platforms in real time helps you catch these moves early.