TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 6, 1:00 PM EST
Polymarket
This market refers to the tennis match between Mayu Crossley and Tatum Evans in the ITF Women Lakewood, originally scheduled for May 30, 2026 at 1:00PM ET. This market will resolve to 'Mayu Crossley' if Mayu Crossley advances against Tatum Evans. This market will resolve to 'Tatum Evans' if Tatum Evans advances against Mayu Crossley. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the International Tennis Federation (ITF). A consensus of credible reporting may also be used.
Prediction market odds on Polymarket often diverge from traditional sportsbook lines because they reflect decentralized crowd sentiment rather than bookmaker risk management. Sportsbooks adjust odds to balance liability; prediction markets price based on trader conviction and available information. For the Crossley versus Evans match, comparing Polymarket implied probabilities to major sportsbook spreads can reveal whether the crowd is more or less confident than professional oddsmakers about the outcome.
Several factors could shift odds for the Crossley versus Evans match before Jun 6, 2026. Recent tournament results, player injury reports, head-to-head history, court surface conditions at Lakewood, and pre-match commentary from analysts or coaches may influence trader sentiment. Unexpected withdrawals, weather delays, or significant betting activity from informed participants could also trigger sharp price movements. Monitoring news and player social media closer to match day often reveals late-breaking information that impacts market pricing.