TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 23, 11:00 AM EST
Polymarket
This market refers to the tennis match between Malaika Rapolu and Ankita Raina in the ITF Women Dallas, originally scheduled for July 16, 2026 at 11:00AM ET. This market will resolve to 'Malaika Rapolu' if Malaika Rapolu advances against Ankita Raina. This market will resolve to 'Ankita Raina' if Ankita Raina advances against Malaika Rapolu. 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 Malaika Rapolu and Ankita Raina in the ITF Women Dallas, originally scheduled for July 16, 2026 at 11:00AM ET. This market will resolve to 'Malaika Rapolu' if Malaika Rapolu advances against Ankita Raina. This market will resolve to 'Ankita Raina' if Ankita Raina advances against Malaika Rapolu. 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 lines to balance action and lock in profit margins, while prediction markets aggregate the collective beliefs of traders who have real money at stake on accuracy. This market may show odds that differ meaningfully from traditional sportsbooks, particularly if one venue has sharper or more active traders. Comparing the two can reveal where smart money is positioned and highlight potential value opportunities for informed bettors.
On Polymarket, this market is priced through an automated market maker that converts trader activity 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 share price between 0 and 1 cent, and the sum of all outcome prices equals 1 cent, ensuring the probabilities always total 100 percent. As traders buy or sell shares, the prices adjust dynamically to reflect the latest consensus. This mechanism encourages continuous price discovery and allows traders to enter or exit positions at any time before the market closes.
This market resolves around Jul 23, 2026, once the tennis match concludes and the result is verifiable from credible public reporting. The outcome will be confirmed based on the official match result—either a win for Rapolu or a win for Raina. Traders who backed the correct player will receive their payout, while those on the losing side forfeit their stake. The resolution process typically occurs within hours of the final point, ensuring timely settlement and payouts to winning positions.
Several factors may shift odds in this market before the match begins. Recent tournament performance, head-to-head records, and player rankings can influence trader sentiment. Court surface preference, weather conditions on match day, and any last-minute injury reports or withdrawals will likely trigger sharp repricing. News coverage, expert commentary, and social media discussion may also sway the crowd. As the match start time approaches, late-breaking information—such as player warm-up results or lineup confirmations—often prompts final adjustments in the odds.