TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 25, 2:03 AM EST
Polymarket
This market refers to the tennis match between Evan Zhu and Yeonsu Jeong in the Seoul, Korea Republic, Qualifying, originally scheduled for October 24, 2026 at 10:40PM ET. This market will resolve to 'Evan Zhu' if Evan Zhu advances against Yeonsu Jeong. This market will resolve to 'Yeonsu Jeong' if Yeonsu Jeong 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 November 7, 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 Yeonsu Jeong in the Seoul, Korea Republic, Qualifying, originally scheduled for October 24, 2026 at 10:40PM ET. This market will resolve to 'Evan Zhu' if Evan Zhu advances against Yeonsu Jeong. This market will resolve to 'Yeonsu Jeong' if Yeonsu Jeong 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 November 7, 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.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market is driven by individuals willing to put their capital behind their beliefs. Frequently, prediction markets can be more accurate than traditional forecasts, especially when there's significant public interest and available information. However, sportsbook odds are readily accessible and represent a common benchmark for evaluating the probabilities implied by this market.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the outcome. The price of a share directly corresponds to the implied probability of that outcome occurring. As more people buy shares in a particular outcome, its price increases, and vice versa. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market's price reflects the aggregated sentiment of all participants, creating a dynamic and real-time assessment of the event's potential results. This differs from fixed-odds betting, as the odds adjust based on supply and demand.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be based on the official result of the Evan Zhu vs Yeonsu Jeong match as reported by the governing body of the competition. The platform will rely on widely available and trusted sources to determine the winner, ensuring a transparent and verifiable resolution process. Traders will then be able to claim their winnings or adjust their strategies based on the final result.
Several factors could influence this market before the match concludes. Any news regarding player injuries, changes in coaching strategies, or unexpected weather conditions could significantly impact the perceived probabilities. Public sentiment, as reflected in social media and expert analysis, can also play a role. Major upsets in related matches or tournaments might shift expectations. Ultimately, any information that alters the assessment of either player's chances of winning will likely cause movement in this market, as traders adjust their positions accordingly.