| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Casper Ruud | 0% | 6¢ | 28¢ | — | $0 | Trade → |
| Carlos Alcaraz | 0% | 72¢ | 92¢ | — | $0 | Trade → |
This market asks which player will win Set 2 of the match between Carlos Alcaraz and Casper Ruud. Set-level markets matter because the outcome of an individual set can reflect in-match dynamics and betting flows distinct from the final-match result.
Carlos Alcaraz and Casper Ruud are top ATP players with contrasting styles: Alcaraz is typically aggressive with heavy speed and finishing ability, while Ruud is known for heavy topspin, consistency and strong baseline rallies. Surface, recent form, and the context of the match (round, previous match length) all influence how each player approaches a second set and their likelihood of making tactical changes.
Prediction market odds represent the collective, real-time view of traders about which player will win Set 2; they update as new information arrives (e.g., first-set score, injuries, weather). Odds are signals of market sentiment, not guarantees of outcome.
This market is tied to Set 2 and typically remains open up to the start of that set; exact closing behavior is platform-dependent and listed as TBD on the event page, so check KALSHI for live close times.
The market resolves to the player who wins Set 2 — either Carlos Alcaraz or Casper Ruud. If Set 2 is not played or completed, resolution follows KALSHI’s official event rules.
Set 1 outcome shifts in-play expectations: a convincing Set 1 win can give the victor momentum and confidence, while a narrow or physically long Set 1 can favor the fresher player; markets update accordingly as traders price those dynamics.
Resolution in cases of withdrawal, retirement, or abandonment depends on KALSHI’s stated resolution policy; generally, if Set 2 is not started the platform may void or resolve per rules, and if Set 2 is in progress resolution follows match completion rules—consult KALSHI for specifics.
Watch first-serve percentage, service holds and breaks, break-point conversion/saving, winners vs unforced errors, and observable signs of fatigue or mobility issues; combine those with the Set 1 scoreline and set duration to inform expectations for Set 2.