| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Chet Holmgren | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luguentz Dort | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VJ Edgecombe | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Williams | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Isaiah Hartenstein | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which double-double outcomes occur in the Oklahoma City at Philadelphia game, letting traders express expectations about which players or teams will record two statistical categories of 10+ in the box score. Double-doubles indicate high-impact performances, so outcomes track meaningful in-game contributions.
The matchup pairs Oklahoma City and Philadelphia, two teams whose styles (pace, interior vs. perimeter focus, and rotation patterns) shape where double-doubles are most likely to come from. Historically, double-doubles come from high-usage scorers who also rebound or from traditional bigs who collect points and boards; team game plan and matchup advantages change those probabilities on any given night. For market users, recent form, minutes, and official lineups are the most relevant context leading into this specific game.
Market prices reflect the crowd’s aggregated expectation about the listed double-double outcomes; they move as new information (injuries, lineups, swapping minutes) arrives. Use price movement and the underlying game context (rotations, matchups, pace) to form and update your view rather than relying on any single stat snapshot.
The market's close time is listed as TBD on the event page; platforms commonly close double-double markets at or shortly before scheduled tip-off. Check the market page for the precise close time and assume trading stops at that moment.
Each of the four outcomes maps to mutually exclusive double-double scenarios specified on the market page (for example, outcomes might distinguish which team or which combination of players records double-doubles). Always read the exact outcome labels on the event page to see how the market will be resolved.
Focus on the Thunder's usual frontcourt rebounders and primary ball-handlers who get heavy usage—players logging starter minutes and significant rebound or assist totals. Check the official starting lineup, recent games for double-double frequency, and any minute restrictions announced before tip-off.
Resolution follows the platform's rulebook: if a listed player does not appear or the game is postponed/cancelled, outcomes tied to that appearance may be voided or resolved per KALSHI's official settlement rules. Consult the event page and platform dispute/settlement policy for exact procedures.
Team tendencies like pace, offensive rebound rate, and assist frequency change counting-stat opportunities: a high-pace game creates more possessions (more chances for points, rebounds, assists), while a size advantage increases rebound shares for a team's bigs. Consider both squads' recent box-score profiles and matchup-specific defensive schemes when evaluating the market.