| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Aaron Gordon: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Aaron Gordon: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cameron Johnson: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jamal Murray: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Braun: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Braun: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Braun: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikola Jokić: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kristaps Porziņģis: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kristaps Porziņģis: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kristaps Porziņģis: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kristaps Porziņģis: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kristaps Porziņģis: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Draymond Green: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market concerns the total points scored in the NBA game Golden State at Denver and allows traders to express views on how high- or low-scoring the matchup will be. Totals markets matter because they aggregate expectations about pace, defense, injuries, and game conditions into tradable outcomes.
Golden State and Denver have contrasting styles: Golden State often relies on high-volume three-point shooting and pace, while Denver plays at altitude and features interior scoring that can change matchup dynamics. Venue effects (Denver's altitude), recent team form, and availability of key players all shape scoring expectations and create variability across individual games.
Market prices reflect the collective view of traders about likely point totals and update as new information (injuries, rotations, rest, weather for travel) arrives. Use price movement and liquidity as signals of changing expectations rather than fixed predictions.
The event page currently shows a closing time of TBD; most markets close at a platform-specified time shortly before tip-off or exactly at game start. Always check the contract page for the official lock/close time for this specific market.
That depends on the contract's settlement rules. Some totals markets settle on regulation time only while others include overtime; confirm the settlement definition listed on the event's contract page before trading.
The 18 outcomes represent distinct point-total buckets or exact-point outcomes the market uses for trading. Each outcome corresponds to a specific range or value detailed in the contract so traders can target narrow bands of total scoring.
Late roster news typically moves expectations quickly: absence of primary scorers or playmakers usually lowers projected totals, while unexpected bench-heavy lineups can change pace. Market responsiveness depends on liquidity and how widely the news is disseminated.
Useful inputs include team pace (possessions per game), recent scoring trends, head-to-head scoring history, injury reports and minutes projections, rest/travel context, and venue effects. Combine these with real-time news to update your view before placing trades.