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There are 11 active prediction markets available for "Roland Garros, Qualification WTA: Sinja Kraus vs Noma Noha Akugue" on FrenFlow, with $56K in combined trading volume. Each market focuses on a different aspect or outcome.
The most traded market is "Roland Garros, Qualification WTA: Sinja Kraus vs Noma Noha Akugue" with $52K in volume. Current odds: Sinja Kraus at 100%.
Current standings: Roland Garros, Qualification WTA: Sinja Kraus vs Noma Noha Akugue at 100%, Completed Match at 100%, Roland Garros, Qualification WTA: Sinja Kraus vs Noma Noha Akugue Total Sets: O/U 2.5 at 100%, Roland Garros, Qualification WTA: Sinja Kraus vs Noma Noha Akugue Match O/U 21.5 at 100%, Roland Garros, Qualification WTA: Sinja Kraus vs Noma Noha Akugue Match O/U 22.5 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.
"Roland Garros, Qualification WTA: Sinja Kraus vs Noma Noha Akugue" has generated $56K in total trading volume since launch. Higher volume aggregates more participants behind the implied probabilities, generally tightening spreads and sharpening the consensus signal.
Roland Garros, Qualification WTA: Sinja Kraus vs Noma Noha Akugue has moved up 31 points in the last 24 hours — from approximately 69% to 100%. Price movements reflect changing trader sentiment and new information entering the market.
Markets in this event are scheduled to close around May 27, 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 "Roland Garros, Qualification WTA: Sinja Kraus vs Noma Noha Akugue", 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.
