| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Alexandra Eala | 39% | 38¢ | 40¢ | — | $16K | Trade → |
| Linda Noskova | 62% | 61¢ | 62¢ | — | $576 | Trade → |
This market is a two-outcome contract on who wins the tennis match between Eala and Noskova. It matters because market prices aggregate real-time information about form, injuries, and conditions that can affect the match result.
Both players are emerging professionals who have recorded notable results at junior and tour level while building experience on the pro circuit; their relative experience on the tournament surface and recent match play are important context. The market has seen $16,336 in traded volume on KALSHI, which provides some liquidity and helps prices reflect collective sentiment.
Interpret market prices as the crowd’s current consensus about which player bettors expect to win; prices change as new information (lineups, injuries, weather, pre-match reports) arrives. Markets are not a single expert prediction but a real-time summary of money and sentiment.
The market settles on the officially recorded winner of the match between Eala and Noskova as provided by the tournament’s official results; the winning player at match completion is the settled outcome.
The close time is listed as TBD; typically the market closes shortly before the official match start or at the operator’s announced close time, and may change if the match time is adjusted.
If a player retires after the match has officially started, the remaining player is usually deemed the winner for settlement; pre-match walkovers or cancellations may be handled according to the platform’s rules (e.g., voiding or holding until rescheduling), so consult the exchange’s event rules for final determination.
Monitor live pre-match reports (warmup impressions, any medical notices), each player’s recent results on the same surface, serve/return performance in recent matches, and official start time or weather advisories that could affect play.
Head-to-head results provide useful context but are just one input; their predictive value depends on how many meetings there have been, how recent those matches were, and whether conditions and fitness levels are comparable to the upcoming match.