| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 231.5 points scored | 48% | 48¢ | 49¢ | — | $5K | Trade → |
| Over 228.5 points scored | 57% | 55¢ | 57¢ | — | $2K | Trade → |
| Over 216.5 points scored | 79% | 77¢ | 82¢ | — | $362 | Trade → |
| Over 240.5 points scored | 29% | 28¢ | 30¢ | — | $270 | Trade → |
| Over 243.5 points scored | 23% | 23¢ | 24¢ | — | $252 | Trade → |
| Over 225.5 points scored | 61% | 61¢ | 64¢ | — | $232 | Trade → |
| Over 237.5 points scored | 34% | 34¢ | 36¢ | — | $198 | Trade → |
| Over 234.5 points scored | 40% | 40¢ | 43¢ | — | $141 | Trade → |
| Over 219.5 points scored | 74% | 69¢ | 76¢ | — | $134 | Trade → |
| Over 222.5 points scored | 66% | 67¢ | 70¢ | — | $120 | Trade → |
| Over 213.5 points scored | 84% | 79¢ | 86¢ | — | $35 | Trade → |
This market asks how many total points will be scored in the Detroit at Miami game; it matters because totals markets aggregate expectations about pace, offense and defense into a single measurable outcome traders can buy or sell.
The matchup pairs Detroit and Miami, two teams whose recent offensive and defensive form will drive expectations for scoring. Historical meeting outcomes, current lineups, and scheduling (back-to-back games or travel) provide useful context for how the game might unfold, while venue and in-season trends influence scoring environments.
Market prices reflect the crowd’s aggregated view of likely total points; shifts in those prices incorporate new information (injuries, rotations, weather for outdoor games) and should be read as the market updating its consensus rather than a fixed forecast.
Each outcome corresponds to a mutually exclusive total-points range or threshold for the game (e.g., discrete score bands or over/under buckets); check the market interface for the precise definitions of each outcome.
Resolution depends on the market’s official rules—some totals markets include overtime in the final total and others explicitly exclude it; consult the market description or KALSHI rules linked on the event page for the definitive settlement policy.
Losing a primary scorer typically reduces expected team scoring and can lower the total, while a backup with a different style or reduced efficiency can change pace and turnovers—traders monitor official injury reports and late scratches because these move expectations quickly.
Key items are official injury/day-of-game statuses, announced starting lineups or rotation changes, travel/rest news (e.g., back-to-back), and any weather advisories for outdoor games; late-breaking coaching decisions or player availability normally drive the largest intraday moves.
Settlement for postponements or cancellations is governed by the platform’s contingency rules—some markets void if the game isn’t played within a specified window, others wait for rescheduling; check the event’s terms and the exchange’s resolution policy for the exact procedure.