| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Milwaukee wins by over 11.5 Points | 47% | 47¢ | 48¢ | — | $3K | Trade → |
| Milwaukee wins by over 8.5 Points | 59% | 57¢ | 60¢ | — | $726 | Trade → |
| Milwaukee wins by over 26.5 Points | 11% | 7¢ | 15¢ | — | $100 | Trade → |
| Utah wins by over 1.5 Points | 19% | 15¢ | 19¢ | — | $97 | Trade → |
| Milwaukee wins by over 14.5 Points | 36% | 36¢ | 40¢ | — | $56 | Trade → |
| Milwaukee wins by over 20.5 Points | 19% | 20¢ | 24¢ | — | $30 | Trade → |
| Utah wins by over 4.5 Points | 11% | 11¢ | 14¢ | — | $5 | Trade → |
| Milwaukee wins by over 5.5 Points | 71% | 67¢ | 71¢ | — | $1 | Trade → |
| Milwaukee wins by over 2.5 Points | 0% | 75¢ | 78¢ | — | $0 | Trade → |
| Milwaukee wins by over 23.5 Points | 0% | 13¢ | 17¢ | — | $0 | Trade → |
| Milwaukee wins by over 17.5 Points | 0% | 27¢ | 31¢ | — | $0 | Trade → |
This market lets traders buy and sell outcomes tied to the point spread for the Utah at Milwaukee game; it matters because spreads summarize market expectations about the expected margin and are used to trade on which team covers. The result affects payouts for each discrete spread outcome listed on the platform.
This is a regular-season NBA matchup framework where home-court (Milwaukee) typically matters, travel and rest patterns can shift game scripts, and team rosters and rotations determine matchup dynamics. The market currently shows 11 discrete spread outcomes and has recorded $1,440 in traded volume; the market close time is listed as TBD so prices can move as pregame information arrives. Historical tendencies (pace, defensive focus, interior vs perimeter scoring) help set context but must be combined with current availability and lineup information.
Market prices for each spread outcome reflect collective expectations and will move as new information (injuries, rotations, betting flows) arrives; interpret them as market-implied views of which margins are most likely rather than fixed predictions. Because close is TBD, expect greater sensitivity to late-breaking news as tip-off approaches.
They represent discrete possible point-differential outcomes for the game (different ranges/lines for the margin). Each outcome corresponds to a specific spread result that determines which traders are paid if that margin is the final result.
The platform will set or update the market close time; until it is finalized the market can remain open and prices will react to new information. Check the exchange or market page for the official close time and any updates on the day of the game.
Late injury or scratch news can materially change the expected margin—missing a primary scorer or defensive anchor typically swings which side is likelier to cover. Monitor official team reports, pregame warmups, and line movement to see how the market is re-pricing risk.
Head-to-head history provides context on matchup tendencies but has limited predictive power on its own; roster changes, coaching, and situational factors like rest or injuries in the current season are often more relevant.
Key indicators include pace (possessions per game), rebounding differential, turnover rates, three-point and free-throw rates, and expected minutes for starters—these drive scoring margins and help assess which team is likelier to cover.