TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 9, 4:39 AM EST
Polymarket
This market tracks whether Alexander Zverev will advance against Yibing Wu in their Shanghai Rolex Masters tennis match, originally scheduled for October 9, 2026 at 10:00PM ET. Currently, Polymarket gives a 100.0% probability to “Zverev vs. Wu: Match O/U 21.5” resolving in favor of that outcome. The resolution source for this market is the official ATP Tour website at https://www.atptour.com/en/scores/current. Keep an eye on the match start time on October 9, 2026, as the outcome will be determined by whether Zverev advances in this scheduled fixture.
This market refers to the tennis match between Alexander Zverev and Yibing Wu in the Shanghai Rolex Masters, originally scheduled for October 9, 2026 at 10:00PM ET. This market will resolve to 'Alexander Zverev' if Alexander Zverev advances against Yibing Wu. This market will resolve to 'Yibing Wu' if Yibing Wu advances against Alexander Zverev. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 23, 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 bettors, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on their own models and risk management, while this market is driven by the willingness of individuals to buy or sell shares representing different outcomes. Discrepancies can arise due to differing information, biases, or simply variations in how each assesses the probability of an event. It's common to see prediction markets move faster than sportsbooks in response to new information or changing sentiment.
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 outcome. The price of a share directly corresponds to the implied probability of that outcome occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people buy shares in a particular outcome, its price increases, reflecting growing confidence. Conversely, selling pressure drives prices down. This dynamic pricing ensures that the market reflects the most up-to-date collective assessment of the match's potential results.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Shanghai Rolex Masters match between Alexander Zverev and Yibing Wu, as declared by the tournament organizers. The market will determine which player won the match, and shares will pay out accordingly based on the final result. It’s important to note that the outcome is determined by the official result, not by any subjective interpretation or individual analysis.
Several factors could influence the trading activity in this market leading up to the match. Any news regarding player injuries, changes in playing conditions, or even significant shifts in public opinion could cause the odds to move. Unexpected results in other matches involving these players, or even broader trends in tennis performance, could also impact trading volume and price. Furthermore, large trades by influential market participants can create short-term volatility. Monitoring these signals can provide insights into how the market is reacting to new information and evolving expectations.