TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 30, 9:17 AM EST
Kalshi
This market tracks which player will win the opening set of the Anna Kalinskaya versus Camila Osorio match at the 2026 French Open Women's Singles Round of 32. On Kalshi, Kalinskaya winning set 1 is priced at 50.5%, while Osorio winning set 1 stands at 48.5%. Resolution will be determined by the official result of the first set as recorded in the professional tennis match scheduled for May 30, 2026.
On Kalshi, the Anna Kalinskaya vs Camila Osorio Set 1 Winner market is priced as a binary contract reflecting the probability each player wins the first set. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy or sell shares at prices between 0 and 100 cents, with the winning outcome settling at 100 cents and the losing outcome at zero. The current market price reflects the aggregated belief of all active traders. Prices move in real time based on new order flow, player news, or betting patterns, allowing traders to enter or exit positions continuously until market close.
The market resolves on May 30, 2026. Resolution is determined by the official result of the first set in the Anna Kalinskaya vs Camila Osorio tennis match. The outcome is binary: either Kalinskaya or Osorio will be credited as the Set 1 winner based on the match scorecard. Kalshi will settle the market according to verified match data from the tournament organizer or official sports record. Traders holding shares in the winning outcome receive full payout; losing shares expire worthless.
Key catalysts include recent head-to-head records, surface preference (clay, hard court, grass), player form and injury status, and pre-match betting patterns. Court conditions, weather, and serve-and-volley tendencies can shift trader expectations. News of illness, withdrawal, or coaching changes may trigger sharp repricing. Betting syndicates or sharp money entering the market can also move odds significantly. Social media sentiment and expert commentary may influence retail traders. As match day approaches, warm-up tournament results and official player lineups become increasingly important signals for refining probability estimates.