TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 1, 9:55 PM EST
Polymarket
More markets for the MLS game, scheduled for August 1 at 7:30 PM ET.
More markets for the MLS game, scheduled for August 1 at 7:30 PM ET.
Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets are driven purely by trader belief and real-money commitment. This market aggregates the collective forecast of thousands of independent traders, each risking capital on their conviction. Comparing the two can reveal where professional oddsmakers and the broader prediction market community disagree on likely outcomes.
On Polymarket, this market is priced through an automated market maker that adjusts odds continuously as traders buy and sell shares. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome is represented as a separate contract, and the combined probability of all outcomes sums to 100 percent. Prices move in real time based on order flow, so early traders who spot value can capture gains before consensus shifts. The transparent, on-chain mechanism means all pricing history is auditable and no hidden spreads exist.
This market resolves around Aug 1, 2026, once the match concludes and the result is verified against credible public sources. The outcome is determined by the final score and any official league rulings on the day. Until that point, traders can enter or exit positions as new information emerges—team news, weather, or betting patterns. Resolution is automatic once the event is confirmed, and all payouts are distributed according to the final odds at settlement.
Key catalysts include team news such as injuries to star players, lineup announcements, or tactical changes that alter perceived match dynamics. Weather conditions closer to kickoff can shift expectations for both sides. Betting patterns and sharp money flowing into one outcome may signal professional confidence and trigger retail traders to follow. Social media sentiment, recent form, and head-to-head history can all spark repricing. As the match date approaches, any official league updates or venue changes would also move odds significantly.