TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 13, 10:19 AM EST
Polymarket
This market refers to the tennis match between Fabio Luis Guth and Daniel Tazabekov in the M15 Heraklion, Qualifying, originally scheduled for October 12, 2026 at 6:30AM ET. This market will resolve to 'Fabio Luis Guth' if Fabio Luis Guth advances against Daniel Tazabekov. This market will resolve to 'Daniel Tazabekov' if Daniel Tazabekov advances against Fabio Luis Guth. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 26, 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 Fabio Luis Guth and Daniel Tazabekov in the M15 Heraklion, Qualifying, originally scheduled for October 12, 2026 at 6:30AM ET. This market will resolve to 'Fabio Luis Guth' if Fabio Luis Guth advances against Daniel Tazabekov. This market will resolve to 'Daniel Tazabekov' if Daniel Tazabekov advances against Fabio Luis Guth. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 26, 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.
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 reflects 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 current price reflects the collective intelligence of the traders on Polymarket, and is constantly updated based on supply and demand. This dynamic pricing allows for a fluid assessment of the match's potential results.
This market resolves around Oct 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Heraklion tennis match between Fabio Luis Guth and Daniel Tazabekov, as reported by a recognized tennis authority. The market will determine which player ultimately won the match. The platform will verify the result against publicly available sources to ensure accuracy and transparency. Traders will then be able to claim their winnings based on the final outcome.
Several factors could influence trading activity and shift the odds in this market. Any news regarding player injuries, changes in playing conditions (weather, court surface), or even updated rankings could impact trader sentiment. Unexpected results in earlier rounds of the tournament, or analysis suggesting a shift in player form, could also lead to significant price movements. Furthermore, large trades by influential market participants can create short-term volatility. Monitoring these signals will be key to understanding potential shifts in the perceived probability of each player winning the Heraklion tennis match.