| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Victoria Jimenez Kasintseva | 24% | 24¢ | 26¢ | — | $81 | Trade → |
| Katie Boulter | 76% | 76¢ | 78¢ | — | $76 | Trade → |
This market asks which competitor will win the tennis match between Boulter and Jimenez Kasintseva; it matters to traders and fans because it aggregates expectations about the match outcome into a tradable signal.
The two players bring different experience, styles, and recent match loads that shape how the match is likely to play out. Important context includes the tournament stage, the playing surface, any prior meetings between them, and up‑to‑date fitness or travel factors.
Market prices represent the real‑time consensus of participants and move as new information appears; interpret them as a snapshot of collective expectations rather than a guaranteed prediction.
This market is binary: one outcome wins if Boulter is the official match winner and the other wins if Jimenez Kasintseva is the official match winner; settlement follows the event result as recorded by the tournament and KALSHI.
Close and settlement timing are set by KALSHI and typically align with the scheduled match start and the official match completion; consult the market page for the exact close time and KALSHI announcements for resolution timing.
Look for each player's historical performance on the same surface and in similar venue conditions (indoor vs outdoor, weather exposure, altitude), because surface speed and conditions materially affect serve and rally patterns and therefore each player's advantage.
A retirement during a match typically produces a winner for settlement purposes (the player who did not retire); a pre‑match withdrawal or cancellation may be handled under KALSHI’s event cancellation and voiding rules, so check official platform guidance for specifics.
Useful metrics include head‑to‑head results, recent match outcomes on the same surface, serve and return efficiency, break‑point performance, and minutes played over recent events to estimate fatigue and form.