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There are 35 active prediction markets available for "US Open ATP: Valentin Vacherot vs Kamil Majchrzak" on FrenFlow, with $713K in combined trading volume. Each market focuses on a different aspect or outcome.
The most traded market is "US Open ATP: Valentin Vacherot vs Kamil Majchrzak" with $702K in volume. Current odds: Valentin Vacherot at 100%.
Current standings: US Open ATP: Valentin Vacherot vs Kamil Majchrzak Set 1 Winner at 100%, US Open ATP: Valentin Vacherot vs Kamil Majchrzak Set 1 O/U 8.5 at 100%, US Open ATP: Valentin Vacherot vs Kamil Majchrzak Set 2 O/U 8.5 at 100%, US Open ATP: Valentin Vacherot vs Kamil Majchrzak Total Sets: O/U 3.5 at 100%, US Open ATP: Valentin Vacherot vs Kamil Majchrzak Match O/U 36.5 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 ATP: Valentin Vacherot vs Kamil Majchrzak" has generated $713K in total trading volume since launch, with $712K 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 ATP: Valentin Vacherot vs Kamil Majchrzak Set 1 Winner has moved up 47 points in the last 24 hours — from approximately 53% to 100%. Price movements reflect changing trader sentiment and new information entering the market.
Markets in this event are scheduled to close around September 8, 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 ATP: Valentin Vacherot vs Kamil Majchrzak", 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.
