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There are 16 active prediction markets available for "US Open WTA: Carol Young Suh Lee vs Katie Boulter" on FrenFlow, with $320K in combined trading volume. Each market focuses on a different aspect or outcome.
The most traded market is "US Open WTA: Carol Young Suh Lee vs Katie Boulter" with $319K in volume. Current odds: Carol Young Suh Lee at 0%.
Current standings: US Open WTA: Carol Young Suh Lee vs Katie Boulter Total Sets: O/U 2.5 at 100%, US Open WTA: Carol Young Suh Lee vs Katie Boulter Set 1 O/U 8.5 at 100%, US Open WTA: Carol Young Suh Lee vs Katie Boulter Match O/U 21.5 at 100%, US Open WTA: Carol Young Suh Lee vs Katie Boulter Set 2 Winner at 100%, US Open WTA: Carol Young Suh Lee vs Katie Boulter Set 2 O/U 8.5 at 100%. Odds shift in real-time as traders buy and sell shares based on new information, so the ranking reflects the market's latest collective view.
"US Open WTA: Carol Young Suh Lee vs Katie Boulter" has generated $320K in total trading volume since launch, with $286K traded in the last 24 hours. Higher volume aggregates more participants behind the implied probabilities, generally tightening spreads and sharpening the consensus signal.
US Open WTA: Carol Young Suh Lee vs Katie Boulter Total Sets: O/U 2.5 has moved up 61 points in the last 24 hours — from approximately 39% to 100%. Price movements reflect changing trader sentiment and new information entering the market.
Markets in this event are scheduled to close around September 6, 2026. Individual markets may have different resolution dates depending on their specific conditions.
Prediction markets let you trade on the outcomes of real-world events. For "US Open WTA: Carol Young Suh Lee vs Katie Boulter", you can buy shares representing different outcomes. Share prices reflect the crowd's estimated probabilities. When a market resolves, correct shares pay $1.00 and incorrect shares pay $0.00. On FrenFlow you can also follow the top traders on this market and automatically copy their positions, so you participate in their picks without having to time each trade yourself.
