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 30, 2:13 AM EST
Polymarket
This event is for the upcoming NWSL game, scheduled for Wednesday, July 29, 2026 between Bay FC and NJ/NY Gotham FC.
This event is for the upcoming NWSL game, scheduled for Wednesday, July 29, 2026 between Bay FC and NJ/NY Gotham FC.
Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate the beliefs of traders risking real capital on outcomes. This market may show higher or lower implied probabilities than traditional sportsbooks, depending on whether informed traders see value the books have missed. Comparing the two can reveal where the broader market disagrees with professional oddsmakers.
On Polymarket, this market is priced through an automated market maker that converts trader activity into real-time probability estimates. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Shares representing each outcome trade continuously, and the price of each share reflects the collective forecast of all participants. As traders buy or sell, the price adjusts to balance supply and demand, ensuring the market stays responsive to new information and shifting expectations about the match result.
This market resolves around Jul 30, 2026, once the match concludes and the result is verifiable from credible public sources. The outcome is determined by the final score and official match result as reported by the relevant sports authorities. Traders holding shares in the winning outcome will receive their payout based on the confirmed result, while losing positions expire worthless.
Key catalysts include team roster announcements, injury updates, recent form and head-to-head records, and any tactical changes announced before the match. Weather conditions, venue factors, and late-breaking news about player availability can shift trader sentiment significantly. As the match date approaches, increased media coverage and expert analysis may also influence how traders reassess the probabilities, causing price swings in either direction.