TOTAL VOLUME:
$134.2b
24H VOL:
$129,159,707
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,442,132,418
404,744
Markets across
30,489
events
MATCHED EVENTS:
2,691
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
This market refers to the tennis match between Alafia ayeni and Kaylan Bigun in the Columbus, USA, Qualifying, originally scheduled for September 28, 2026 at 12:20PM ET. This market will resolve to 'Alafia ayeni' if Alafia ayeni advances against Kaylan Bigun. This market will resolve to 'Kaylan Bigun' if Kaylan Bigun advances against Alafia ayeni. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 12, 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 Alafia ayeni and Kaylan Bigun in the Columbus, USA, Qualifying, originally scheduled for September 28, 2026 at 12:20PM ET. This market will resolve to 'Alafia ayeni' if Alafia ayeni advances against Kaylan Bigun. This market will resolve to 'Kaylan Bigun' if Kaylan Bigun advances against Alafia ayeni. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 12, 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 collective wisdom of a diverse group of bettors, and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own modeling and risk assessment, while this market is driven by individuals trading based on their own research and insights. It's common to see discrepancies, especially when there's significant public interest or disagreement about the likely outcome of the Alafia ayeni vs Kaylan Bigun match. These differences can present opportunities for arbitrage or informed betting.
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 Alafia ayeni vs Kaylan Bigun match. The price of these shares fluctuates based on supply and demand, effectively creating a real-time probability assessment. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The closer the event gets, the more volatile the price may become as new information emerges and traders adjust their positions. This dynamic pricing reflects the aggregated predictions of all participants.
This market resolves around Oct 5, 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 Alafia ayeni vs Kaylan Bigun match, as determined by the governing sports organization. Traders will then be able to claim their winnings based on the final outcome. It's important to monitor official sources for the confirmed result to understand when the market officially closes and payouts are processed.
Several factors could influence the price of this market before Oct 5, 2026. Any news regarding the condition of either Alafia ayeni or Kaylan Bigun, such as injuries or changes in training status, could significantly shift the odds. Additionally, updates on team strategies, weather conditions, or even public sentiment could all play a role. Unexpected announcements or developments related to the match could also lead to rapid price movements as traders react to new information and reassess their predictions.