TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 25, 6:00 AM EST
Polymarket
This market refers to the tennis match between Farhat Aleen Qamar and Vaidehee Chaudhari in the ITF Women Mohammedia, originally scheduled for June 18, 2026 at 6:00AM ET. This market will resolve to 'Farhat Aleen Qamar' if Farhat Aleen Qamar advances against Vaidehee Chaudhari. This market will resolve to 'Vaidehee Chaudhari' if Vaidehee Chaudhari advances against Farhat Aleen Qamar. 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 Farhat Aleen Qamar and Vaidehee Chaudhari in the ITF Women Mohammedia, originally scheduled for June 18, 2026 at 6:00AM ET. This market will resolve to 'Farhat Aleen Qamar' if Farhat Aleen Qamar advances against Vaidehee Chaudhari. This market will resolve to 'Vaidehee Chaudhari' if Vaidehee Chaudhari advances against Farhat Aleen Qamar. 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 mechanisms. Sportsbooks set odds based on their internal models and risk management, then adjust them to balance action on both sides. Prediction markets like this one price outcomes through continuous trader participation, where participants directly stake capital on their beliefs. This can lead to sharper, more reactive pricing in prediction markets, especially as new information emerges. Comparing the two reveals whether professional oddsmakers and decentralized traders agree on the likely outcome.
On Polymarket, traders set prices 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 current odds reflect the aggregate belief of all participants: higher prices mean the market views that outcome as more likely, and lower prices indicate lower perceived probability. As new information surfaces—player form, injury reports, or betting patterns—traders adjust their positions, moving the price dynamically. This continuous repricing ensures the market stays responsive to real-world developments right up until resolution.
This market resolves around Jun 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will reflect which player wins the match according to official tournament records. Until that point, traders can continue to buy and sell shares as odds fluctuate. Once the match concludes and the winner is established, the market settles and shares are redeemed based on the final outcome.
Several factors could shift odds before the match takes place. Player injury announcements or withdrawal news would trigger sharp repricing. Recent tournament performance, head-to-head records, and surface preference data often influence trader positioning. Court conditions, weather forecasts, and lineup confirmations closer to match day can spark volatility. Media coverage highlighting one player's form or momentum may also sway sentiment. Additionally, large trades by sophisticated bettors can move prices, signaling new information or conviction that other traders react to quickly.