| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Victoria Jimenez Kasintseva | 56% | 55¢ | 57¢ | — | $3K | Trade → |
| Lucrezia Stefanini | 44% | 43¢ | 45¢ | — | $2K | Trade → |
This market trades on the winner of the tennis match titled "Stefanini vs Jimenez Kasintseva" and matters because match results determine tournament progression and provide a focal point for short-term information-driven trading.
This is a head-to-head tennis event where outcome depends on both players' recent form, experience and the specific conditions of the match (surface, tournament stage, scheduling). Differences in age, playing style and recent results typically shape expectations going into a match and influence how traders update their positions as new information appears.
Prediction market prices represent the collective judgment of traders and move as new information arrives; they are an indicator of market sentiment at a moment in time, not a guarantee of an outcome.
The listed close time is TBD; typically the market will close at or shortly before the official match start time set by the tournament or the platform. Check the KALSHI event page for the operator’s official closing time and any last-minute updates.
This market has two outcomes corresponding to each player winning the match. Settlement will be based on the official match result as reported by the tournament or the market operator.
Settlement follows KALSHI’s event rules: generally an official retirement during a match results in a winner being declared, while pre-match walkovers or full cancellations may trigger voiding or specific settlement rules. Consult the event rules on KALSHI for the operator’s exact policy.
Late injury reports or withdrawals, official confirmations of court/surface assignment, surprising warm-up or practice reports, and any public statements about fitness or strategy are the types of developments that tend to move prices quickly.
Check official head-to-head records from tournament and tour databases for prior meetings. If past matches exist, consider recency, scorelines and surface; if no recorded meetings exist, treat it as a first meeting and weigh current form and stylistic matchup more heavily.