| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Alexander Bublik wins 2-1 | 32% | 20¢ | 32¢ | — | $44 | Trade → |
| Alexander Bublik wins 2-0 | 0% | 50¢ | 58¢ | — | $0 | Trade → |
| Rinky Hijikata wins 2-0 | 0% | 8¢ | 14¢ | — | $0 | Trade → |
| Rinky Hijikata wins 2-1 | 0% | 3¢ | 16¢ | — | $0 | Trade → |
This prediction market lets traders take positions on the exact final match score of the tennis match between Alexander Bublik and Rinky Hijikata. Exact-score markets matter because they capture expectations about set-level outcomes and match competitiveness rather than only the match winner.
Alexander Bublik is known for a big serve and aggressive, high-variance shotmaking; Rinky Hijikata generally plays a consistent baseline/return-oriented game and can extend rallies. Surface, tournament stage, recent form, and any injury or fatigue issues shape how those styles interact and therefore the likely set patterns for this match.
Market prices express the crowd’s relative assessment of which exact scorelines are most likely and will move as new information arrives. Compare prices across the four outcomes to see which set lengths and winners the market currently favors.
The event page lists the close time as TBD; markets like this typically close before the scheduled match start. Check the event page or platform notices for the final official close time.
The market offers four exact-match-score outcomes corresponding to the common two- and three-set results for either player (for example: a straight-sets win for Bublik, a three-set win for Bublik, a straight-sets win for Hijikata, or a three-set win for Hijikata).
Settlement follows the official match score as reported by tournament organizers: a retirement during play is settled to the official final score at the time of retirement. If the match is not played or is abandoned before start, settlement will follow the platform’s stated rules for no-contest or cancellation.
Key drivers include the server’s hold rate, returner’s break-frequency, consistency under pressure (especially on break and tiebreak points), recent match length/fatigue, and any mid-match tactical adjustments.
Pre-match moves often reflect late injury news, practice reports, or conditions; in-play moves reflect set-level events (first-set score, early breaks, medical timeouts, weather delays). Use that information to reassess which exact scorelines are plausible, keeping in mind liquidity and transaction costs.