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 whether Philadelphia Union will win their Major League Soccer match against Seattle Sounders FC. The aggregated consensus probability for Philadelphia Union to win stands at 100.0%, with a draw as the second outcome at 1.0%, drawing data from Kalshi, Polymarket, and Predict, and resolutions sourced from the official MLS schedule at mlssoccer.com. Watch for the match result on July 25, 2026, as it will determine the market outcome.
This event is for the upcoming MLS game, scheduled for Saturday, July 25, 2026 between Philadelphia Union and Seattle Sounders FC.
Resolution is based on the final result of the Philadelphia vs Seattle MLS match after 90 minutes plus stoppage time, excluding extra time or penalties. The match outcome resolves to one of three possibilities: a Philadelphia victory, a Seattle victory, or a tie. If the scheduled match is cancelled or rescheduled to more than two weeks away, the market will resolve to a fair price in accordance with standard procedures.
This event is for the upcoming MLS game, scheduled for Saturday, July 25, 2026 between Philadelphia Union and Seattle Sounders FC.
Prediction markets and sportsbooks price outcomes differently because they serve distinct audiences and operate under different constraints. Sportsbooks set odds to balance their book and manage risk, incorporating a margin for profit. Prediction markets, by contrast, aggregate trader beliefs through continuous price discovery—odds reflect what participants actually believe will happen, with no built-in spread. This market often shows tighter consensus than traditional sportsbooks, especially when trader volume is high. However, sportsbook odds may incorporate sharper professional betting syndicates, so comparing both sources provides a fuller picture of expected outcomes.
Key catalysts include team news such as injuries to star players, lineup announcements, or tactical shifts by either manager. Recent form, head-to-head records, and home-field advantage all influence trader positioning. Weather conditions on match day can affect play style and scoring likelihood. Major betting syndicates entering the market with large positions often trigger sharp price moves. Social media sentiment and mainstream sports coverage may sway casual traders. As the match date approaches, late-breaking roster updates or venue changes could create volatility. Monitor official team communications and sports news outlets for developments that reshape win probability.