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: Jun 6, 3:21 PM EST
Kalshi
This event concerns a women's professional tennis match between two competitors in the 2026 French Open Women's Singles Final. The market focuses on the outcome of this championship match, with resolution based on which player wins and the specific set score achieved during play.
On Kalshi, the Exact Match Score outcome is priced as binary or categorical contracts reflecting each possible set result. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares at prices between 0 and 100 cents, with the price representing the implied probability of that specific scoreline occurring. As match conditions, player form, or betting flow shift, prices adjust dynamically. The spread between bid and ask prices reflects market liquidity and conviction around each exact-score outcome.
The market resolves on Jun 6, 2026 following the completion of the Mirra Andreeva vs Maja Chwalinska match. Resolution is determined by the official final set score of the match. The exact scoreline—such as 2–0, 2–1, 1–2, or 0–2 in a best-of-three-set format—establishes which outcome contract settles to 100 cents and which settle to zero. Traders holding shares in the correct exact-score prediction receive their payout upon official confirmation.
Key catalysts include recent match results and form trends for both players, injury reports or fitness updates, head-to-head history and playing-style matchups, court surface and weather conditions on match day, and betting flow shifts as the event approaches. Player rankings, confidence levels, and pre-match statements can also influence trader sentiment. As new information emerges about either player's preparation or condition, market odds will reprice to reflect updated expectations of how competitive the match will be and which exact scorelines traders view as most likely.