| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Adelina Lachinova | 4% | 4¢ | 6¢ | — | $4K | Trade → |
| Maja Chwalinska | 95% | 93¢ | 95¢ | — | $215 | Trade → |
This market asks which player will win the head-to-head match between Lachinova and Chwalinska; it matters because it aggregates public expectations about the immediate outcome of that contest.
The event is a single-match tennis contest between two professional players; outcomes in such markets depend on match-specific factors like surface, tournament stage, and player availability. Historical meetings and recent form are relevant context, but each match can be affected by last-minute developments (injury, illness, withdrawal) that change expected results.
Market prices reflect the collective assessment of traders and update as new information arrives; interpret price moves as the market responding to news (line-up changes, injury reports, weather) rather than as fixed predictions.
This market trades the two head-to-head outcomes: a Lachinova win and a Chwalinska win. Check the market page to confirm exact payout rules and whether retirements or walkovers are covered.
The market close time is listed as TBD; typically markets close before the scheduled match start or earlier if an official withdrawal or other disqualifying event occurs. Refer to the market page for real-time closing information.
Settlement follows the exchange’s published rules: retirements after a match has started are usually treated as a win for the opponent, while walkovers or matches that never start can be handled differently (voided or resolved according to the rules). Always consult the platform’s resolution policy linked on the market page.
Use head-to-head as one input but adjust for surface, recency, and context: older matches may be less relevant, and recent form, injury reports, and the tournament surface can materially change how past results translate to this match.
Modest volume indicates prices may be more sensitive to individual trades and news; lower liquidity can lead to larger price swings on new information, so monitor news and order book depth if you plan to trade or rely on prices for decision-making.