TOTAL VOLUME:
$134.2b
24H VOL:
$129,159,707
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,442,132,418
404,744
Markets across
30,489
events
MATCHED EVENTS:
2,691
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 9, 4:00 PM EST
Polymarket
This market refers to the tennis match between Paola Lopez and Katherine Hui in the ITF Women San Diego, originally scheduled for July 2, 2026 at 4:00PM ET. This market will resolve to 'Paola Lopez' if Paola Lopez advances against Katherine Hui. This market will resolve to 'Katherine Hui' if Katherine Hui advances against Paola Lopez. 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 Paola Lopez and Katherine Hui in the ITF Women San Diego, originally scheduled for July 2, 2026 at 4:00PM ET. This market will resolve to 'Paola Lopez' if Paola Lopez advances against Katherine Hui. This market will resolve to 'Katherine Hui' if Katherine Hui advances against Paola Lopez. 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 operate under different incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets rely on trader consensus to establish prices. This market reflects what a distributed group of traders believes will happen, whereas a sportsbook's line factors in liability management and betting patterns. Over time, prediction markets have shown accuracy in pricing uncertain events, though sportsbook odds may offer different value depending on market conditions and available information at any given moment.
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. Each share represents a claim on the match result, and the price reflects the collective assessment of all active traders. As new information emerges or sentiment shifts, traders adjust their positions, moving the odds in real time. The market price converges toward the true probability as more capital flows into the most likely outcomes, creating a dynamic pricing mechanism that rewards accurate predictions.
This market resolves around Jul 9, 2026, once the Lopez vs Hui match concludes and the result is verified against credible public sources. The outcome is determined by the official match result as reported by the ITF or recognized tennis authorities. Resolution occurs after the event is complete and the winner is confirmed through standard sports reporting channels. Traders holding shares in the winning outcome receive their payout once verification is finalized.
Several factors could shift odds in this market before the match begins. Player injury announcements, recent tournament performance, head-to-head records, and court surface conditions are key catalysts. Changes in player ranking or fitness updates released by either competitor's team can trigger significant repricing. Media coverage highlighting form, momentum, or external circumstances may also influence trader sentiment. Closer to match day, weather forecasts and last-minute lineup confirmations often drive final adjustments as traders incorporate the latest available information.