TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 29, 9:43 AM EST
Kalshi
This market tracks which player will win the second set in the Mirra Andreeva versus Marie Bouzkova matchup at the 2026 French Open Women's Singles Round of 32. On Kalshi, Andreeva winning set 2 stands at 82.0%, while Bouzkova winning set 2 is at 17.0%. Resolution is determined by the official result of set 2 in their professional tennis match. Watch for the completion of set 2 on May 29, 2026, when the match outcome will be recorded and the market will settle.
On Kalshi, the Set 2 winner contract is priced as a binary outcome: either Marie Bouzkova wins set 2 or she does not. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current implied probability reflects all available information about player form, head-to-head records, court conditions, and match momentum. Traders buy and sell shares based on their conviction, with prices ranging from 0 to 100 cents. The spread between bid and ask prices indicates market tightness; wider spreads suggest lower liquidity or higher uncertainty about the eventual outcome.
The market resolves on May 29, 2026 following the completion of set 2 in the Mirra Andreeva versus Marie Bouzkova match. Resolution is determined by the official result of that specific set as recorded by the tournament organizer and confirmed through standard sports data feeds. The outcome is binary: either Bouzkova wins set 2 or Andreeva does. Once the set concludes and the winner is officially confirmed, the market settles and traders receive payouts based on their positions.
Key signals include recent performance trends for both players, head-to-head history, court surface preferences, and any injury or fitness updates. Match momentum from set 1 will significantly influence set 2 odds, as will serve performance, break-point conversion rates, and mental resilience. Weather conditions and crowd dynamics can also shift expectations. Trading volume and large position changes on Kalshi may indicate informed traders gaining new information. Real-time match statistics during set 1 will be the most immediate driver of repricing as traders adjust their forecasts based on actual play.