| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Cooper Flagg: 20+ | 46% | 20¢ | 46¢ | — | $502 | Trade → |
| Naji Marshall: 25+ | 11% | 0¢ | 10¢ | — | $404 | Trade → |
| Daniel Gafford: 15+ | 13% | 0¢ | 13¢ | — | $382 | Trade → |
| Daniel Gafford: 20+ | 4% | 0¢ | 3¢ | — | $371 | Trade → |
| Klay Thompson: 20+ | 10% | 0¢ | 10¢ | — | $318 | Trade → |
| Scottie Barnes: 20+ | 50% | 47¢ | 49¢ | — | $269 | Trade → |
| Klay Thompson: 15+ | 24% | 16¢ | 26¢ | — | $255 | Trade → |
| Cooper Flagg: 30+ | 9% | 0¢ | 10¢ | — | $243 | Trade → |
| Cooper Flagg: 15+ | 75% | 60¢ | 73¢ | — | $229 | Trade → |
| Jakob Poeltl: 15+ | 26% | 0¢ | 25¢ | — | $104 | Trade → |
| Jakob Poeltl: 10+ | 62% | 52¢ | 61¢ | — | $101 | Trade → |
| Klay Thompson: 10+ | 56% | 42¢ | 55¢ | — | $97 | Trade → |
| Naji Marshall: 15+ | 55% | 51¢ | 53¢ | — | $64 | Trade → |
| Scottie Barnes: 10+ | 96% | 70¢ | 93¢ | — | $51 | Trade → |
| Jakob Poeltl: 20+ | 9% | 0¢ | 9¢ | — | $50 | Trade → |
| Daniel Gafford: 10+ | 42% | 39¢ | 43¢ | — | $32 | Trade → |
| P.J. Washington: 10+ | 67% | 56¢ | 72¢ | — | $24 | Trade → |
| Cooper Flagg: 25+ | 24% | 0¢ | 22¢ | — | $23 | Trade → |
| Immanuel Quickley: 20+ | 46% | 40¢ | 44¢ | — | $10 | Trade → |
| P.J. Washington: 15+ | 43% | 0¢ | 42¢ | — | $10 | Trade → |
| Naji Marshall: 10+ | 79% | 68¢ | 84¢ | — | $6 | Trade → |
| Immanuel Quickley: 15+ | 0% | 57¢ | 74¢ | — | $0 | Trade → |
| Scottie Barnes: 15+ | 0% | 62¢ | 71¢ | — | $0 | Trade → |
| RJ Barrett: 15+ | 0% | 62¢ | 79¢ | — | $0 | Trade → |
| RJ Barrett: 20+ | 0% | 46¢ | 51¢ | — | $0 | Trade → |
| RJ Barrett: 10+ | 0% | 0¢ | 89¢ | — | $0 | Trade → |
| Immanuel Quickley: 30+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| P.J. Washington: 20+ | 0% | 0¢ | 17¢ | — | $0 | Trade → |
| Max Christie: 20+ | 0% | 0¢ | 13¢ | — | $0 | Trade → |
| RJ Barrett: 30+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Naji Marshall: 20+ | 0% | 0¢ | 27¢ | — | $0 | Trade → |
| Scottie Barnes: 30+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Scottie Barnes: 25+ | 0% | 12¢ | 25¢ | — | $0 | Trade → |
| P.J. Washington: 25+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Max Christie: 15+ | 0% | 0¢ | 33¢ | — | $0 | Trade → |
| Immanuel Quickley: 25+ | 0% | 0¢ | 21¢ | — | $0 | Trade → |
| RJ Barrett: 25+ | 0% | 12¢ | 25¢ | — | $0 | Trade → |
| Max Christie: 10+ | 0% | 1¢ | 66¢ | — | $0 | Trade → |
| Klay Thompson: 25+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
This market prices outcomes for total points scored in the upcoming Dallas (away) at Toronto (home) game. It matters to traders and sports fans who want to express a view on how many points will be scored in that specific matchup.
The market sits on a single game between Dallas and Toronto and breaks the game’s total scoring into multiple possible outcomes; the current record shows 36 distinct outcomes available. Relevant context includes recent results for both clubs, any announced lineup or starter decisions, and how the venue historically affects scoring in head-to-head meetings.
Market odds reflect the community’s collective assessment of which point-range outcomes are most likely; changes in odds signal new information (injuries, starters, travel, etc.). Use odds as a real-time indicator of shifting expectations rather than a guaranteed forecast.
The market currently lists the close time as TBD; many game-specific markets lock at the official scheduled start or at a lineup/roster lock time. Check the market page for final closing updates ahead of the match.
That indicates the market is split into 36 mutually exclusive point outcomes (typically discrete totals or ranges). The market page will show how those outcomes map to exact point totals or ranges and the payout for each.
Late injury reports, official starting lineups or goalie announcements, confirmation of rests or load management, and evidence of travel or illness among players are the most market-moving items.
Removing a primary scorer or playmaker generally lowers the expected total for that team and can reduce the overall game total; losing a top defender or starter can have the opposite effect. The specific impact depends on replacement personnel and tactical adjustments.
Use head-to-head and venue scoring trends as background context but weight recent form and current rosters more heavily. Adjust for changes in personnel, coaching strategy, and small sample issues—recent lineups and season-to-date scoring rates typically offer the most actionable insight.