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: Sep 22, 4:18 PM EST
Polymarket
This market refers to the tennis match between Evan Zhu and Henry Searle in the San Diego 2, originally scheduled for September 22, 2026 at 2:00PM ET. This market will resolve to 'Evan Zhu' if Evan Zhu advances against Henry Searle. This market will resolve to 'Henry Searle' if Henry Searle advances against Evan Zhu. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 6, 2026, 11:59 PM ET (14 days after the scheduled start), 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 ATP Tour. A consensus of credible reporting may also be used.
This market refers to the tennis match between Evan Zhu and Henry Searle in the San Diego 2, originally scheduled for September 22, 2026 at 2:00PM ET. This market will resolve to 'Evan Zhu' if Evan Zhu advances against Henry Searle. This market will resolve to 'Henry Searle' if Henry Searle advances against Evan Zhu. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 6, 2026, 11:59 PM ET (14 days after the scheduled start), 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 ATP Tour. A consensus of credible reporting may also be used.
Generally, prediction market odds often reflect a wisdom-of-the-crowd effect, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. If a significant number of informed bettors believe a sportsbook is mispricing a player’s chances, they can trade accordingly on Polymarket, potentially leading to odds that diverge from those found at sportsbooks. It’s important to compare these odds to get a broader view of expectations for the San Diego tennis match.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the likelihood of each player winning. The price of a share directly corresponds to the implied probability of that outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people trade, the price adjusts to reflect the collective assessment of the crowd. The market’s efficiency depends on the number of participants and the information they bring to bear. Currently, the market is indicating a significant level of interest in this match, as evidenced by the trading volume.
This market resolves around Sep 29, 2026, with the outcome confirmed once the result of the San Diego tennis match is verifiable from credible public reporting. The player who wins the match will determine the winning outcome in this market. The resolution will be based on the official result declared by the tournament organizers and widely reported by sports news outlets. Traders will then be able to claim their winnings based on the final outcome of the match.
Several factors could influence trading activity and move this market before resolution. Any news regarding player injuries, changes in playing conditions, or updated match previews from tennis analysts could all impact the perceived probabilities. Unexpected upsets in other matches featuring these players leading up to the San Diego event could also shift sentiment. Furthermore, large trades on Polymarket by well-informed traders could create momentum and cause the odds to change rapidly. Monitoring these signals will be key to understanding potential shifts in this market.