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: Jul 2, 1:00 PM EST
Polymarket
This market refers to the tennis match between Avery Nguyen and Amy Zhu in the ITF Women Claremont, originally scheduled for June 25, 2026 at 1:00PM ET. This market will resolve to 'Avery Nguyen' if Avery Nguyen advances against Amy Zhu. This market will resolve to 'Amy Zhu' if Amy Zhu advances against Avery Nguyen. 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 Avery Nguyen and Amy Zhu in the ITF Women Claremont, originally scheduled for June 25, 2026 at 1:00PM ET. This market will resolve to 'Avery Nguyen' if Avery Nguyen advances against Amy Zhu. This market will resolve to 'Amy Zhu' if Amy Zhu advances against Avery Nguyen. 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 markets and sportsbooks price events differently because they operate under distinct incentive structures. Sportsbooks set odds to balance liability and extract a margin, while prediction markets aggregate trader beliefs through continuous price discovery. This market reflects what traders collectively believe will happen, which can diverge from sportsbook lines due to different participant pools, risk appetites, and information access. Comparing the two can reveal where consensus diverges and highlight potential value, though both ultimately aim to reflect true event probabilities.
On Polymarket, traders set prices through an automated market maker mechanism, where buying and selling pressure directly moves the odds. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome is represented as a contract with a price between 0 and 1, reflecting the implied probability. As traders place orders, the price adjusts to clear the market. Higher trading volume typically narrows spreads and improves price accuracy, while lower volume can widen the gap between bid and ask prices, affecting execution costs for participants entering or exiting positions.
This market resolves around Jul 2, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome will be confirmed based on the official match result, determining which player prevails. Until that point, traders can adjust positions as new information emerges, including player form, injury updates, and head-to-head records. The resolution process is designed to reflect the actual event outcome with minimal ambiguity.
Several catalysts could shift odds before the match begins. Injury announcements or withdrawal news would dramatically reprrice the market, as would recent tournament results or ranking changes for either player. Court surface conditions, weather forecasts, and head-to-head history often influence trader sentiment in tennis markets. Media coverage, betting syndicate activity, and shifts in player form during warm-up events can also trigger price movement. Traders monitor these signals continuously to identify mispricing opportunities and adjust their positions accordingly.