TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 18, 2:00 PM EST
Polymarket
This market refers to the tennis match between Kaitlyn Carnicella and Rachel Gailis in the ITF Women Los Angeles, originally scheduled for June 11, 2026 at 2:00PM ET. This market will resolve to 'Kaitlyn Carnicella' if Kaitlyn Carnicella advances against Rachel Gailis. This market will resolve to 'Rachel Gailis' if Rachel Gailis advances against Kaitlyn Carnicella. 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.
This market refers to the tennis match between Kaitlyn Carnicella and Rachel Gailis in the ITF Women Los Angeles, originally scheduled for June 11, 2026 at 2:00PM ET. This market will resolve to 'Kaitlyn Carnicella' if Kaitlyn Carnicella advances against Rachel Gailis. This market will resolve to 'Rachel Gailis' if Rachel Gailis advances against Kaitlyn Carnicella. 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 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 collective beliefs of traders who have real money at stake on outcomes. This market may show different implied probabilities than traditional sports betting sites, particularly as new information emerges or if one venue attracts more informed traders than the other. Comparing the two can reveal where consensus is strongest and where disagreement exists.
On Polymarket, traders set prices by buying and selling outcome shares in an automated market maker system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current odds reflect the aggregate demand for each possible result, with prices adjusting in real time as new trades flow in. Higher prices indicate stronger market confidence in that outcome. You can enter or exit positions at any time before resolution, and your trades directly influence the probability displayed on the dashboard.
This market resolves around Jun 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning outcome will be determined by the official result of the match as recorded by the ITF and major sports data providers. Until that point, prices may fluctuate based on pre-match analysis, player news, and betting activity. Once the match concludes and the result is verified, the market will settle automatically and winning positions will be credited.
Several factors could shift prices significantly before the match begins. Player injuries, withdrawals, or fitness updates announced in the days leading up to the event typically trigger sharp moves. Recent tournament results, head-to-head records, and surface-specific performance data may influence trader positioning. Court conditions, weather forecasts, and any last-minute lineup changes could also impact implied probabilities. Additionally, if one player gains media attention or if betting syndicates enter the market with large positions, you may see rapid repricing as new information flows in.