| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Alex de Minaur | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Sebastian Korda | 0% | 1¢ | 99¢ | — | $0 | Trade → |
This market asks which player, Sebastian Korda or Alex de Minaur, will win the second set of their match; it matters for traders focused on short-term match dynamics and live-event trading.
Both players are established ATP competitors with contrasting styles: de Minaur is known for speed and defensive retrieval, while Korda often looks to dictate with aggressive baseline strokes and serve. Surface type, recent form, and head-to-head tendencies shape expectations going into set-by-set markets. Because this market isolates set 2, immediate match context (including how set 1 unfolded) becomes especially important.
Market odds summarize what traders collectively expect about who will win set 2 at a given moment and will update as new information arrives. Treat odds as a real-time consensus indicator, not a certainty.
The market's official close time is listed as TBD on the platform; it may close before the start of set 2 or remain open in-play depending on the exchange's timing rules, so check KALSHI's live market status for updates.
Settlement is based on the official match score as recorded by the tournament authorities; the platform will use that official record to determine which player is credited with winning set 2 and settle the market accordingly.
If set 2 reaches a tiebreak, the player who wins the tiebreak is awarded the set and the market settles to that player as the set 2 winner.
Key developments include the final games of set 1 (momentum shifts), any visible injury or medical timeout, changes in serve speed/accuracy, and sudden weather or court-condition changes that alter play dynamics.
Head-to-head history provides useful context on matchup tendencies (who handles pressure, typical rally patterns), but for set-by-set markets you should also weigh recent form, the surface, and the live match context because those factors can outweigh historical averages in a single set.