| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Detroit over 117.5 points scored | 54% | 6¢ | 54¢ | — | $35 | Trade → |
| Miami over 124.5 points scored | 49% | 1¢ | 28¢ | — | $4 | Trade → |
| Detroit over 120.5 points scored | 0% | 1¢ | 46¢ | — | $0 | Trade → |
| Detroit over 123.5 points scored | 0% | 0¢ | 36¢ | — | $0 | Trade → |
| Miami over 115.5 points scored | 0% | 6¢ | 57¢ | — | $0 | Trade → |
| Detroit over 114.5 points scored | 0% | 16¢ | 64¢ | — | $0 | Trade → |
| Miami over 103.5 points scored | 0% | 48¢ | 100¢ | — | $0 | Trade → |
| Detroit over 105.5 points scored | 0% | 48¢ | 100¢ | — | $0 | Trade → |
| Miami over 121.5 points scored | 0% | 0¢ | 37¢ | — | $0 | Trade → |
| Miami over 118.5 points scored | 0% | 1¢ | 46¢ | — | $0 | Trade → |
| Miami over 100.5 points scored | 0% | 70¢ | 99¢ | — | $0 | Trade → |
| Detroit over 102.5 points scored | 0% | 70¢ | 99¢ | — | $0 | Trade → |
| Miami over 112.5 points scored | 0% | 16¢ | 67¢ | — | $0 | Trade → |
| Detroit over 108.5 points scored | 0% | 32¢ | 82¢ | — | $0 | Trade → |
| Miami over 109.5 points scored | 0% | 24¢ | 76¢ | — | $0 | Trade → |
| Miami over 106.5 points scored | 0% | 32¢ | 100¢ | — | $0 | Trade → |
| Detroit over 126.5 points scored | 0% | 1¢ | 26¢ | — | $0 | Trade → |
| Detroit over 111.5 points scored | 0% | 24¢ | 74¢ | — | $0 | Trade → |
This market lets traders buy and sell discrete scoring-total outcomes for the Detroit at Miami game — i.e., which range each team's final score will fall into. It matters because team totals isolate offensive and defensive matchup expectations and offer a way to trade on scoring without predicting the game winner.
The matchup pairs Detroit and Miami in a single game; the market focuses on team-level scoring rather than spread or game winner. Teams and coaching styles influence expected pace and scoring, while short-term factors like injuries, rest and lineup changes can materially shift expectations. Because the market uses multiple discrete outcomes, traders can express varying degrees of confidence about likely scoring bands.
Market prices aggregate participants' information about which scoring range is most likely and will move as new information arrives; they should be read as the market's consensus expectation at a point in time rather than a fixed forecast.
The market is split into a set of discrete scoring-range outcomes that cover likely final team totals for Detroit and Miami; the platform lists each labeled range so traders can select the band they believe will contain a team’s final score.
The market closes before game start at the time shown on the platform (Closes: TBD here), and it settles using the official final team totals as defined in the contract rules—check the market page for whether overtime is included or excluded.
Late injury or lineup announcements can shift expected scoring quickly; typical responses are to re-evaluate pace and scoring impact of the missing player, monitor price moves for liquidity, and adjust positions or hedge across adjacent outcome ranges as information evolves.
Head-to-head history can offer context but is usually less predictive than recent form, current rosters, and matchup-specific factors like pace and defensive matchups; prioritize up-to-date team metrics and injury information.
Watch official injury reports and starting lineups, team pace and offensive/defensive efficiency metrics, recent team scoring totals, rest/back-to-back indicators, and any coach-level announcements that could affect rotations or tempo.