TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 19, 3:00 AM EST
Polymarket
This market refers to the tennis match between Sofiia Bielinska and Lan Mi in the ITF Women Kayseri, originally scheduled for June 12, 2026 at 3:00AM ET. This market will resolve to 'Sofiia Bielinska' if Sofiia Bielinska advances against Lan Mi. This market will resolve to 'Lan Mi' if Lan Mi advances against Sofiia Bielinska. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, 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 Sofiia Bielinska and Lan Mi in the ITF Women Kayseri, originally scheduled for June 12, 2026 at 3:00AM ET. This market will resolve to 'Sofiia Bielinska' if Sofiia Bielinska advances against Lan Mi. This market will resolve to 'Lan Mi' if Lan Mi advances against Sofiia Bielinska. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, 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.
Prediction market odds and sportsbook odds often diverge because they reflect different incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one aggregate trader beliefs through continuous price discovery. Traders here have direct financial exposure to accuracy, which can lead to sharper, less biased estimates than traditional bookmakers. However, sportsbook odds benefit from professional oddsmakers and real-time adjustment. Comparing both sources provides a fuller picture of where informed participants believe the match outcome lies.
On Polymarket, traders set the odds by buying and selling outcome shares in an automated market maker system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the collective confidence of all participants; as more traders back one result, its share price rises and implied probability increases. You can enter or exit positions at any time before the market closes, and your trades directly influence the displayed odds. This continuous, decentralized pricing mechanism ensures the market stays responsive to new information and trader conviction.
This market resolves around Jun 19, 2026, with the outcome confirmed once the match result is verifiable from credible public reporting. The resolution hinges on the official match result—whether Bielinska or Mi wins the ITF Kayseri event. Once the match concludes and the winner is documented by recognized tennis authorities or news sources, the market will settle accordingly. Traders holding shares in the winning outcome receive their payout, while losing positions expire worthless.
Several factors can shift odds before the match plays out. Player injury reports, recent form and head-to-head records, court surface conditions, and weather forecasts all influence trader positioning. News about either player's fitness, coaching changes, or recent tournament results can trigger sharp repricing. Betting activity on external sportsbooks may also signal new information that prediction market traders react to. As the match date approaches, any updates on player availability or match scheduling could prompt significant moves in this market's probability estimate.