| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 246.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 228.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 255.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 252.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 240.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 237.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 249.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 225.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 243.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 234.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 231.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Washington at Utah game and allows traders to express views on scoring outcomes; it matters because total points reflect game tempo, game script, and matchup dynamics.
Washington and Utah bring distinct offensive and defensive identities that shape scoring expectations: one team may favor faster pace and perimeter shooting while the other emphasizes physical defense and ball control. Home-field factors at Utah (altitude, crowd) and recent roster or coaching changes can shift scoring patterns compared with historical meetings.
Market prices aggregate participant expectations about the likely total points range; movements reflect new information (injuries, weather, lineup changes) being incorporated by traders, so compare prices over time to see how the market updates.
This specific market's close time is listed as TBD; exchanges commonly close total-points markets at official kickoff/tip-off or when the organiser sets a final trading cutoff, so check the market page for updates before the game.
Markets with multiple outcomes usually split total points into contiguous ranges or buckets (for example, low-to-high scoring bands); consult the market interface to see the exact point intervals and how each outcome will settle.
Use recent head-to-head scores as one input, but adjust for roster turnover, coaching changes, season-to-date pace and efficiency differences; single past meetings can be informative but may not reflect current-season contexts.
Yes—home advantage, altitude, and crowd noise can influence visiting team stamina, play-calling, and the effectiveness of passing or deep shots, which in turn can raise or lower expected total scoring depending on how each team adapts.
Whether overtime counts depends on the market’s settlement rules; some markets specify 'regulation only' while others include overtime, so check the market description or rulebook for this event to confirm.