TOTAL VOLUME:
$134.2b
24H VOL:
$143,246,370
24H TRANSACTIONS:
2,403,290,006
OPEN INTEREST:
$1,452,035,386
405,032
Markets across
30,543
events
MATCHED EVENTS:
2,690
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 27, 5:00 AM EST
Polymarket
This market refers to the tennis match between Francesca Jones and Darya Astakhova in the Palermo, originally scheduled for July 20, 2026 at 5:00AM ET. This market will resolve to 'Francesca Jones' if Francesca Jones advances against Darya Astakhova. This market will resolve to 'Darya Astakhova' if Darya Astakhova advances against Francesca Jones. 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 WTA Tour. A consensus of credible reporting may also be used.
This market refers to the tennis match between Francesca Jones and Darya Astakhova in the Palermo, originally scheduled for July 20, 2026 at 5:00AM ET. This market will resolve to 'Francesca Jones' if Francesca Jones advances against Darya Astakhova. This market will resolve to 'Darya Astakhova' if Darya Astakhova advances against Francesca Jones. 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 WTA Tour. 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 like Polymarket aggregate real-time beliefs from traders who profit by forecasting accurately. For this market, comparing the implied probability to major sportsbook lines can reveal whether the crowd on Polymarket is more bullish or bearish than traditional oddsmakers. Discrepancies may highlight value opportunities or signal where informed traders see an edge.
On Polymarket, this market is priced through an automated market maker that converts trader orders into real-time probabilities. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Shares representing each outcome trade continuously, and the price of each share reflects the collective assessment of all active traders. As new information emerges or sentiment shifts, the cost to buy or sell shares adjusts instantly. This mechanism ensures transparent, friction-free pricing without a traditional bookmaker setting fixed lines.
This market resolves around Jul 27, 2026, once the match concludes and the result is verifiable from credible public sources. The outcome is determined by the official result of the tennis match—whether one player wins in straight sets, loses in a tiebreak, or retires. Resolution occurs after the event is confirmed through established sports reporting channels, ensuring accuracy and fairness for all traders. Early resolution is possible if the match is cancelled or postponed beyond the end date.
Several catalysts could shift odds before the match concludes. Recent player form, injury reports, or withdrawal announcements would trigger sharp repricing. Court conditions, weather, and draw positioning may influence trader expectations. Head-to-head history and pre-match commentary from analysts can sway sentiment. Live trading during the match itself—momentum swings, set scores, and momentum breaks—typically generates the largest intraday volume and volatility. Major upsets or unexpected retirements would cause sudden moves as traders reassess probabilities in real time.