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 18, 8:41 PM EST
Kalshi
This event group covers the professional NWSL soccer match between Chicago Stars FC and Angel City FC scheduled for July 18, 2026. Markets across Polymarket and Kalshi assess the match outcome (win, loss, or draw) based on the result after 90 minutes of regular play plus stoppage time, excluding extra time or penalties.
This event is for the upcoming NWSL game, scheduled for Saturday, July 18, 2026 between Chicago Stars FC and Angel City FC.
Resolution is based on the final result of the Chicago vs Angel City FC NWSL match after 90 minutes plus stoppage time, with extra time and penalties excluded. The match outcome resolves to one of three possibilities: a Chicago victory, an Angel City FC victory, or a tie. If the match is cancelled or rescheduled to more than two weeks away, the market resolves to a fair price in accordance with standard procedures.
Prediction markets and traditional sportsbooks use different mechanisms to set odds. Sportsbooks employ oddsmakers and risk management teams to balance their books; prediction markets rely on peer-to-peer trading and collective price discovery. This market aggregates trader beliefs across multiple venues, which often reflects sharp, real-time information. Sportsbook odds may include built-in margins and are adjusted to manage liability, whereas prediction market prices tend to converge toward true probability as volume increases. Comparing the two can reveal where one venue sees value the other has missed.
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, which can cause temporary price gaps. Polymarket and Kalshi may also have slightly different market mechanics, settlement timelines, or user bases with distinct information access or risk appetites. Arbitrage traders often exploit these spreads, but friction costs—withdrawal delays, fees, or slippage on large trades—can prevent prices from converging instantly. Monitoring both venues helps you identify mispricings and understand where the broader market consensus truly lies.