| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| RJ Barrett: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ RJ Barrett: 20+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Ace Bailey: 20+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Ace Bailey: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| RJ Barrett: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Immanuel Quickley: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Scottie Barnes: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ RJ Barrett: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Jakob Poeltl: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Immanuel Quickley: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Immanuel Quickley: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jakob Poeltl: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jakob Poeltl: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Scottie Barnes: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Immanuel Quickley: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jakob Poeltl: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Ace Bailey: 25+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Scottie Barnes: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Ace Bailey: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Scottie Barnes: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
This market asks how the scoring will play out in the Toronto at Utah game, with traders selecting among predefined point outcomes; it matters because points reflect game tempo, shooting, and availability of key players.
Toronto and Utah bring different roster constructions and styles that interact with pace, home-court effects, and travel. Venue factors like altitude in Salt Lake City, recent schedule density, and late lineup changes often shift expectations for total scoring.
Market prices are a real-time, collective signal of expected scoring outcomes given current information and will update as news (injuries, rotations, rest) arrives; use them to track changing expectations, not as guarantees.
The market will resolve according to the platform's published resolution rules for this event, typically using the official league box score for the specified points measure (total game points or a team-specific metric) and mapping that value to the outcome ranges listed in the market description.
The close time is listed on the event page as TBD; in many cases trading stops at the scheduled game start or at the explicit timestamp shown on the market—monitor the market page for the final close time.
Whether overtime counts and how postponements are handled are defined in the market's resolution policy; commonly overtime is included in totals, while postponed or cancelled games are resolved per the platform's rules (which can include voiding the market or applying the most recently available official result).
Late injury reports, resting starters, lineup rotations, and announced minutes restrictions are the biggest movers because they directly change scoring opportunities and usage rates for Toronto and Utah.
Use head-to-head and venue splits to identify tendencies (pace, scoring environments), but weigh recent form and current rosters more heavily since sample sizes and conditions change; in particular, adjust for Utah's altitude and any scheduling-related fatigue.