| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Elias Ymer | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Tristan Schoolkate | 0% | 1¢ | 99¢ | — | $0 | Trade → |
This market asks which player will win the second set in the match between Tristan Schoolkate and Elias Ymer. It matters because set-by-set markets let traders express views about short-term momentum, tactical adjustments, and in-match form.
Both Tristan Schoolkate and Elias Ymer are professional tour players whose match outcomes depend on surface, matchup dynamics, and recent match rhythm. Past meetings, experience on the tour, and playing styles can shape expectations for individual sets, but those inputs change rapidly around match time.
Market odds are the exchange’s aggregated, real-time assessment of which player is expected to win set 2; they update as new information appears (e.g., scoreboard, injuries, weather) and serve as a tradable consensus rather than a certainty.
Set 1 outcome often shifts market expectations: the winner of Set 1 usually gains momentum and market support, while the loser may see odds change if they show signs of struggle or make tactical changes. Markets incorporate these shifts quickly as play proceeds.
The market settles to whichever player is recorded as the official winner of the second set, including any tiebreak result; the recorded set winner on the official match score is what determines settlement.
Settlement follows the platform’s official rules and the match’s recorded result for set 2. If the second set is not completed or the match is abandoned, the exchange may void or cancel the market per its event rules—check the market page or rulebook for the precise policy.
Close timing is determined by the exchange and is shown on the market page; in practice, markets remain tradable up to the platform’s stated close or until the set outcome is officially determined, and live prices update during play.
Key movers include early breaks of serve in set 2, visible injury or medical timeouts, clear tactical shifts after Set 1, sudden changes in serve effectiveness (first-serve percentage), and external factors like weather or delays.