TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 21, 10:00 PM EST
Polymarket
This market refers to the tennis match between Yu Shan and Seo Yun Choi in the ITF Women Luan, originally scheduled for July 14, 2026 at 10:00PM ET. This market will resolve to 'Yu Shan' if Yu Shan advances against Seo Yun Choi. This market will resolve to 'Seo Yun Choi' if Seo Yun Choi advances against Yu Shan. 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 Yu Shan and Seo Yun Choi in the ITF Women Luan, originally scheduled for July 14, 2026 at 10:00PM ET. This market will resolve to 'Yu Shan' if Yu Shan advances against Seo Yun Choi. This market will resolve to 'Seo Yun Choi' if Seo Yun Choi advances against Yu Shan. 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 participant bases and incentive structures. Sportsbooks set odds to balance liability and extract a margin, while prediction markets aggregate trader beliefs through continuous price discovery. For this market, comparing Polymarket prices to major sportsbook lines can reveal whether professional bettors and retail traders are pricing the outcome differently. Prediction markets sometimes lead sportsbooks when informed traders act on early signals, though both venues ultimately converge as the event approaches and new information becomes public.
On Polymarket, this market is priced through an automated market maker that converts trader buy and sell orders into real-time probabilities. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome has a price between 0 and 1 (or 0–100 cents), and traders profit by buying low and selling high as their views shift. The spread between bid and ask prices reflects liquidity and uncertainty; tighter spreads indicate higher confidence and trading activity, while wider spreads suggest lower participation or disagreement among traders.
This market resolves around Jul 22, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome will be confirmed based on the official match result, ensuring accuracy and fairness for all traders. Until that point, prices will fluctuate as new information—such as player injuries, weather updates, or pre-match commentary—influences trader expectations. Resolution typically occurs within hours of the final point.
Several factors could shift prices before the match concludes. Player injury announcements or withdrawal news would trigger sharp repricing. Recent tournament results, head-to-head records, and surface preference data may prompt traders to adjust positions. Court conditions, weather forecasts, and real-time match momentum during play can all drive volatility. Media reports on player form or coaching changes may also influence sentiment. Early-match developments—such as a player winning or losing the first set decisively—typically generate the most dramatic price swings as traders update their win probability estimates.