TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 8, 10:00 AM EST
Polymarket
This market refers to the tennis match between Iva Ivanova and Lisa Zaar in the ITF Women Aix-Les-Bains, originally scheduled for July 1, 2026 at 10:00AM ET. This market will resolve to 'Iva Ivanova' if Iva Ivanova advances against Lisa Zaar. This market will resolve to 'Lisa Zaar' if Lisa Zaar advances against Iva Ivanova. 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 Iva Ivanova and Lisa Zaar in the ITF Women Aix-Les-Bains, originally scheduled for July 1, 2026 at 10:00AM ET. This market will resolve to 'Iva Ivanova' if Iva Ivanova advances against Lisa Zaar. This market will resolve to 'Lisa Zaar' if Lisa Zaar advances against Iva Ivanova. 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 pricing mechanisms. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like Polymarket are driven by trader consensus—real money flowing toward outcomes participants believe are most likely. Sportsbooks may adjust faster for sharp action, whereas prediction markets can lag if retail traders haven't yet priced in breaking news. Over time, prediction markets tend to converge toward actual outcomes because traders with accurate information profit and move prices. Comparing this market's odds to major sportsbooks can reveal where professional and crowd sentiment align or diverge.
On Polymarket, this market is priced through an automated market maker (AMM) model where traders buy and sell shares representing each possible outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective belief of all traders participating in the pool. As more capital flows toward one outcome, that share's price rises and the opposing outcome's price falls, creating a self-balancing system. Traders profit by buying undervalued shares and selling overvalued ones, which naturally corrects mispricings. The spread between bid and ask prices tightens as volume increases, making the market more efficient and liquid.
This market resolves around Jul 8, 2026, after the ITF Women's match concludes. The outcome is confirmed once the result is verifiable from credible public sources, including official tournament records and major sports databases. Resolution hinges on which player wins the match in regulation play. Once the final result is reported and validated, the market settles automatically and traders receive payouts based on their positions. No ambiguity typically surrounds tennis match outcomes, making resolution straightforward and final.
Several factors can shift odds before the match begins. Injury announcements or withdrawal news involving either player would trigger sharp repricing. Recent tournament results, head-to-head records, and surface-specific form all influence trader positioning. Court conditions, weather forecasts, and draw strength can also sway sentiment. Media coverage highlighting one player's momentum or confidence may attract fresh capital. Betting syndicates or professional traders entering the market with large positions can move prices significantly. Even casual news—such as coaching changes or personal circumstances—can ripple through the market if traders believe it affects match dynamics.