TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 11, 10:50 PM EST
Kalshi
This event group covers three linked prediction markets on the outcome of an NWSL soccer match between San Diego Wave FC and Angel City FC scheduled for July 11, 2026. Markets resolve based on the final result after 90 minutes of regular play plus stoppage time, with consistent handling of postponements and cancellations across platforms.
This event is for the upcoming NWSL game, scheduled for Saturday, July 11, 2026 between San Diego Wave FC and Angel City FC.
This event covers the San Diego Wave FC vs Angel City FC professional NWSL soccer game scheduled for July 11, 2026, evaluated at the conclusion of 90 minutes plus stoppage time (excluding extra time or penalties). Resolution is based on the final score after regulation play: a San Diego Wave FC victory resolves the San Diego market to Yes, an Angel City FC victory resolves the Angel City market to Yes, and a tied result resolves the Tie market to Yes. If the game is cancelled or rescheduled more than two weeks from the original date, all markets will resolve to a fair price in accordance with standard rules.
Both platforms host the same underlying question, yet their odds can diverge due to differences in user base, liquidity depth, and trading mechanics. 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. Polymarket attracts global retail traders with lower barriers to entry, while Kalshi draws US-based traders and institutional flow. Liquidity imbalances mean a large trade on one platform can move the price more than on the other. Fee structures, interface design, and promotional incentives also influence where traders concentrate their activity, creating temporary arbitrage windows between the two venues.
Key catalysts include injury announcements to star players, lineup confirmations, recent form trends, and head-to-head historical matchups. Weather conditions on match day can also shift odds, particularly for teams with distinct playing styles. Media coverage and expert predictions may influence retail trader sentiment. Unexpected team news—coaching changes, roster moves, or public statements—often triggers sharp repricing. Monitor official team social channels and league updates for developments that could reshape trader conviction before the final whistle.