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 21, 9:45 AM EST
Polymarket
This market refers to the tennis match between Sophie Luescher and Celia Cervino Ruiz in the W35 Loule, Main Draw, originally scheduled for October 21, 2026 at 5:30AM ET. This market will resolve to 'Sophie Luescher' if Sophie Luescher advances against Celia Cervino Ruiz. This market will resolve to 'Celia Cervino Ruiz' if Celia Cervino Ruiz advances against Sophie Luescher. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 4, 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
This market refers to the tennis match between Sophie Luescher and Celia Cervino Ruiz in the W35 Loule, Main Draw, originally scheduled for October 21, 2026 at 5:30AM ET. This market will resolve to 'Sophie Luescher' if Sophie Luescher advances against Celia Cervino Ruiz. This market will resolve to 'Celia Cervino Ruiz' if Celia Cervino Ruiz advances against Sophie Luescher. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 4, 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 International Tennis Federation (ITF). 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 odds based on models and internal analysis, while this market is driven by individuals willing to put their capital behind their beliefs. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the players’ form and potential. It's common to see prediction markets move independently of sportsbook lines as new information becomes available.
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 traders participate, the price adjusts to reflect the collective assessment of Sophie Luescher or Celia Cervino Ruiz winning the match. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price is determined solely by supply and demand within Polymarket.
This market resolves around Oct 28, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the Loule tennis match between Sophie Luescher and Celia Cervino Ruiz will determine the resolution. The result will be based on the official tournament results and verified against credible public sources. Traders who correctly predicted the winner will receive a payout based on the final share price at the time of resolution.
Several factors could influence the price of this market before Oct 28, 2026. Any news regarding player injuries, changes in playing conditions, or updates on their recent performance could shift trader sentiment. Unexpected announcements about either player’s strategy or coaching changes might also have an impact. Even broader factors, like weather forecasts for the match location, could play a role as traders adjust their predictions based on potential advantages or disadvantages for each player.