| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Carlos Alcaraz -3.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Carlos Alcaraz -5.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Carlos Alcaraz -1.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Carlos Alcaraz -7.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Casper Ruud -1.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Casper Ruud -3.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Casper Ruud -5.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Casper Ruud -7.5 games | 0% | 1¢ | 99¢ | — | $0 | Trade → |
This prediction market lets traders take positions on the game-margin (spread) outcome between Carlos Alcaraz and Casper Ruud in a specific match; it matters because spreads capture expected match competitiveness, not just the winner.
Alcaraz and Ruud are top-level players with contrasting styles: Alcaraz is an explosive, aggressive mover while Ruud is a consistent, heavy-topspin baseliner. Surface, recent form, and match context (tournament stage, rest days) influence how their styles match up and therefore the likely game margin.
Odds in this market map to discrete game-margin outcomes and update as new information arrives; read them as the market's collective assessment of which margins are most supported at a given moment, not immutable forecasts.
The market close is listed as TBD; in practice, exchange rules typically close game-spread markets shortly before the match start or when an official start time is posted — check the market page for the definitive timestamp and any last-minute updates.
The eight outcomes correspond to discrete game-margin buckets that cover different ranges of games by which either Alcaraz or Ruud could win; the market labels on the exchange show the exact range or side associated with each outcome.
Focus on match length (straight sets vs long matches), average games won per match, opponent quality, and surface of those results; prioritize recent and surface-relevant performances over older or surface-different results.
Head-to-head provides useful tactical context (who tends to control rallies, who handles pressure points better), but its predictive value depends on recency, surface, and any changes in form or physical condition, so use it alongside other factors.
Pre-match injury or withdrawal notices, late lineup or schedule changes, official surface or court-speed updates, weather delays, and live-match events such as medical timeouts or retirements are the most common catalysts for price movement.