TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 8, 11:00 AM EST
Polymarket
This market refers to the tennis match between Varvara Lepchenko and Iryna Shymanovich in the Foggia, originally scheduled for June 1, 2026 at 11:00AM ET. This market will resolve to 'Varvara Lepchenko' if Varvara Lepchenko advances against Iryna Shymanovich. This market will resolve to 'Iryna Shymanovich' if Iryna Shymanovich advances against Varvara Lepchenko. 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 on Polymarket often differ from traditional sportsbook odds because they reflect decentralized trader consensus rather than bookmaker margins and risk management. Sportsbooks typically build in a 4–6% edge, while prediction markets may offer tighter spreads if liquidity is high. For the Lepchenko vs Shymanovich match, comparing Polymarket prices to major sportsbooks can reveal value opportunities. Prediction markets tend to be more efficient at pricing upsets or undervalued players when informed traders participate.
On Polymarket, the Foggia: Varvara Lepchenko vs Iryna Shymanovich match is priced through an automated market maker that converts trader orders into real-time probabilities for each outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy YES or NO shares at prices between 0 and 1 (representing 0–100% implied probability), and the spread between bid and ask reflects current liquidity and uncertainty. As the match date approaches, prices typically tighten and become more predictive as new information emerges.
Key catalysts for price movement include injury announcements or fitness updates for either Lepchenko or Shymanovich, recent head-to-head records, surface performance history on clay courts in Foggia, and pre-match training reports. Tournament seeding, draw position, and momentum from prior rounds can also shift market odds. Weather conditions, court conditions, and late-breaking news about player form or personal circumstances may trigger rapid repricing. Traders monitor tennis news outlets and social media for any developments that alter perceived match probabilities.