| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Minnesota over 100.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 103.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 118.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit over 99.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit over 102.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market breaks out the team scoring totals for the Detroit at Minnesota game, letting traders express expectations about how many points each team will score. It matters because team totals isolate offensive/defensive matchup dynamics and are useful for players, analysts, and hedgers.
Context includes recent offensive and defensive form for both franchises, any ongoing roster changes, and the matchup history between the teams. Team totals markets often reflect tempo (possessions per game), injury availability, and coaching tendencies that influence scoring. Because this market lists many discrete outcomes, it captures fine-grained expectations for a range of scoring results.
Market prices represent the collective expectation and risk appetite of traders about each discrete team-total outcome and update as new information arrives. Use those prices as a real-time signal to compare against your own read of injuries, rotations, and matchup data rather than as a fixed prediction.
They correspond to a set of discrete team-total contracts — multiple scoring thresholds for one or both teams (various over/under levels and ranges). Trading those outcomes lets the market express probabilities across a spread of possible team scores.
Closure is typically at the official game start or when lineups are locked by the exchange; 'TBD' indicates the platform has not posted a final close time yet. Expect the market to close around tip-off or when the operator announces a firm time, and plan for last-minute news to arrive before closure.
Prioritize confirmed game-day statuses for high-usage players because their absence shifts shot volume and playmaking to others. Also evaluate likely minutes and who steps into larger roles, as bench usage and role players materially affect team scoring totals.
Look at recent head-to-head scoring, both teams’ tempo and offensive/defensive ratings over the last several weeks, and any persistent lineup mismatches (e.g., struggles defending guards or rim protection). Short-term trends and small-sample head-to-heads should be weighed alongside larger-season metrics.
Moves are driven by new information (injury/lineup confirmations), authoritative betting flows from sharps, and public money reacting to late narratives. After tip-off, if the market remains tradable, in-game developments like an early injury or an unusually slow/fast pace can also shift expectations.