| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jiri Lehecka wins at least 3.5 more games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Jiri Lehecka wins at least 7.5 more games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Sebastian Baez wins at least 3.5 more games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Sebastian Baez wins at least 1.5 more games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Sebastian Baez wins at least 5.5 more games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Jiri Lehecka wins at least 5.5 more games | 0% | 22¢ | 34¢ | — | $0 | Trade → |
| Sebastian Baez wins at least 7.5 more games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Jiri Lehecka wins at least 1.5 more games | 0% | 61¢ | 73¢ | — | $0 | Trade → |
This market asks how many games Sebastian Baez will win relative to Jiri Lehecka (the game spread) in their upcoming match; it matters because it lets traders express views on margin of victory rather than simply who wins. Spread markets capture expectations about match competitiveness and player dominance.
Sebastian Baez and Jiri Lehecka are ATP Tour players with contrasting styles — Baez is a left-hander known for clay-court movement and consistency, while Lehecka is a taller, aggressive baseliner with a big serve. Surface, tournament round and recent form often shape their matchup dynamics; check the specific event and surface because those factors change how their strengths convert into games. This market has multiple discrete outcomes (eight) representing different game-margin ranges.
Prediction market prices (odds) reflect the market’s aggregated expectations for each game-spread outcome and will move as new information arrives (injuries, live score updates, weather, lineup changes). Use prices as a summary of market sentiment, not fixed predictions — they update in real time with incoming data.
The listed close time is TBD; timing is set by the platform and typically locks shortly before the match starts — check the Kalshi market page for the exact close time and any updates.
Each outcome corresponds to a specific range of game-differential results (for example, a player winning by a particular game margin); review the market's outcome labels on Kalshi to see the exact breakpoints that define each outcome.
Immediate drivers include early breaks of serve, medical timeouts or visible injury issues, prolonged tiebreaks, and any significant momentum swings — these change the expected final game margin and cause rapid price movement.
Surfaces that slow the ball (e.g., clay) typically increase rallies and break chances, favoring players with consistent baseline play, while faster surfaces amplify serving advantage; later rounds can add pressure and fatigue effects, so align your view of game spreads with surface and round context.
Settlement rules depend on Kalshi’s event policies; platform rules typically define outcomes for pre-match withdrawals or in-match retirements, so consult Kalshi’s market rules and announcements for how such situations are handled for this event.