TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 6:50 PM EST
Polymarket
This market refers to the tennis match between Nadia Affelt and Zala Bizjak in the W15 Székesfehérvár, Qualifying, originally scheduled for October 4, 2026 at 3:00AM ET. This market will resolve to 'Nadia Affelt' if Nadia Affelt advances against Zala Bizjak. This market will resolve to 'Zala Bizjak' if Zala Bizjak advances against Nadia Affelt. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 18, 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 Nadia Affelt and Zala Bizjak in the W15 Székesfehérvár, Qualifying, originally scheduled for October 4, 2026 at 3:00AM ET. This market will resolve to 'Nadia Affelt' if Nadia Affelt advances against Zala Bizjak. This market will resolve to 'Zala Bizjak' if Zala Bizjak advances against Nadia Affelt. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 18, 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 of the Affelt vs Bizjak match. The price of these shares directly reflects 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 traders participate, the price adjusts to reflect the collective assessment of the event's likelihood. Higher demand for shares in a particular outcome will drive its price up, indicating a greater perceived chance of success, while lower demand will push the price down. This dynamic pricing ensures the market remains responsive to new information and changing opinions.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the W15 Székesfehérvár match between Nadia Affelt and Zala Bizjak. The platform will verify the winner through official tournament results and publicly available data sources. Traders who correctly predicted the outcome will be entitled to payouts based on the final market prices at the time of resolution. The process aims to be transparent and rely on readily available, unbiased information.
Several factors could influence trading activity in this market before Oct 11, 2026. Any news regarding player form, injuries, or changes in playing conditions could significantly shift trader sentiment. Unexpected results in preceding matches for either Affelt or Bizjak would also likely impact prices. Furthermore, broader tennis news, such as upsets in other tournaments, could indirectly affect perceptions of player capabilities. Even social media discussions and expert analysis, if widely circulated, might contribute to price movements as traders incorporate new information into their predictions.