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 8, 4:39 PM EST
Polymarket
This market refers to the tennis match between Vilius Gaubas and Pavel Lagutin in the Seville, originally scheduled for September 8, 2026 at 1:30PM ET. This market will resolve to 'Vilius Gaubas' if Vilius Gaubas advances against Pavel Lagutin. This market will resolve to 'Pavel Lagutin' if Pavel Lagutin advances against Vilius Gaubas. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 22, 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 Vilius Gaubas and Pavel Lagutin in the Seville, originally scheduled for September 8, 2026 at 1:30PM ET. This market will resolve to 'Vilius Gaubas' if Vilius Gaubas advances against Pavel Lagutin. This market will resolve to 'Pavel Lagutin' if Pavel Lagutin advances against Vilius Gaubas. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 22, 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 wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individual traders. It’s common to see discrepancies, especially when there’s strong public sentiment or information not fully captured by sportsbook algorithms. Analyzing these differences can provide valuable insights into where the market perceives an edge, and how public opinion might influence the eventual result of the Lagutin vs Gaubas match.
On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in the outcome of the Lagutin vs Gaubas match. The price of these shares directly reflects the implied probability of each outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price adjusts to incorporate new information and changing perspectives. This dynamic pricing ensures that the market reflects the collective intelligence of those trading on the platform, offering a real-time assessment of the likely result.
This market resolves around Sep 15, 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 Lagutin vs Gaubas match as reported by recognized sports authorities. Traders will be able to see the final result reflected in the market, and shares will be settled accordingly. This ensures a transparent and verifiable process for determining the outcome of this market and distributing payouts to winning traders.
Several signals could influence this market before Sep 15, 2026. Any news regarding player form, injuries to either Vilius Gaubas or Pavel Lagutin, or changes in coaching strategies could all shift trader sentiment. Unexpected results in other matches featuring these players, or even broader trends in the sport, could also play a role. Public analysis and expert predictions, if they gain traction, might also impact trading activity and the implied probabilities within this market. Monitoring these factors will be key to understanding potential shifts in the odds.