TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 13, 3:46 PM EST
Polymarket
This market refers to the tennis match between Roger Pascual Ferra and Li Tu in the Tiburon, USA, Qualifying, originally scheduled for September 13, 2026 at 1:00PM ET. This market will resolve to 'Roger Pascual Ferra' if Roger Pascual Ferra advances against Li Tu. This market will resolve to 'Li Tu' if Li Tu advances against Roger Pascual Ferra. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 27, 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 Roger Pascual Ferra and Li Tu in the Tiburon, USA, Qualifying, originally scheduled for September 13, 2026 at 1:00PM ET. This market will resolve to 'Roger Pascual Ferra' if Roger Pascual Ferra advances against Li Tu. This market will resolve to 'Li Tu' if Li Tu advances against Roger Pascual Ferra. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 27, 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.
Often, prediction market odds offer a different perspective than traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market reflects the collective wisdom of traders who are incentivized to be accurate. If a significant difference emerges between the implied probability on Polymarket and sportsbook odds, it could indicate that traders believe the sportsbook is mispricing the event. However, it's important to remember that both represent probabilities based on different methodologies and information sources.
On Polymarket, this market is priced through a continuous trading mechanism where users buy and sell shares representing their belief in the outcome. The price of these shares fluctuates based on supply and demand, effectively creating a real-time probability assessment of who will win the match. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by new information, trader sentiment, and the overall flow of funds into and out of the market. This dynamic pricing allows for a constantly updated forecast.
This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Tiburon tennis match between Roger Pascual Ferra and Li Tu, as determined by the tournament organizers. The platform will then verify the result and distribute payouts to traders who correctly predicted the winner. Traders should monitor official sources for the final result to understand when the market will be settled.
Several factors could influence the price of this market before the match concludes. Any news regarding player injuries, changes in playing conditions, or even significant shifts in public perception could cause traders to adjust their positions. Unexpected results in other matches involving these players, or even broader trends in tennis performance, could also impact trading activity. Monitoring tennis news sources and analyzing player statistics will be key to understanding potential catalysts for movement in this market.