| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| John Collins | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bennedict Mathurin | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darius Garland | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kawhi Leonard | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brook Lopez | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Myles Turner | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market resolves on how many double-doubles are recorded in the Los Angeles C at Milwaukee game; it matters because double-doubles are a common, measurable indicator of which players dominate a game and drive specific prop outcomes.
Los Angeles C (the Clippers) and Milwaukee (the Bucks) are teams that feature interior scorers and high-usage wings, so matchups and rotations often produce multiple double-doubles in a single game. Historical tendencies, recent minutes and matchup styles (pace, rebounding emphasis, and defensive schemes) set the backdrop for this market.
Prediction market prices reflect the crowd’s current view of how many double-doubles will occur and adjust as new information (injuries, starting lineups, minute updates) becomes available; treat prices as a live signal that responds to game-day news and market sentiment.
A double-double is when a player records 10 or more in two statistical categories (commonly points and rebounds or points and assists); this market tallies how many such player double-doubles occur in that specific game.
The market is structured into five mutually exclusive outcomes corresponding to counts of double-doubles recorded in the game (for example: 0, 1, 2, 3, and 4 or more double-doubles).
Late news on injuries, rest decisions, or announced starters can materially change expectations by altering minutes and roles; markets typically react quickly once credible lineup or injury information is released.
The market’s close time is listed as TBD; commonly such markets close at or just before official game tipoff, but you should check the event page for the confirmed close time and any updates.
Use season and recent-game trends for individual players (rebounding and assisting rates, minutes stability), team pace and rebounding profiles, and head-to-head matchup history to form a view—give extra weight to last-minute role or minutes changes that override older trends.