| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Orlando over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando over 103.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami over 130.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami over 118.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando over 118.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Orlando over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the scoring output (team totals) for Orlando and Miami in their upcoming matchup. It matters because team totals markets aggregate real-time information about expected offense, defense, pace, and lineup availability into tradable prices.
The event covers a single game between Orlando and Miami and offers 18 distinct outcomes, which typically represent different scoring thresholds or ranges for each team. Historical matchups, season-long offensive and defensive trends, and up-to-date roster information all shape expectations for the team totals market.
Market odds here reflect the crowd’s aggregated expectation that a given team will exceed or fall below a specific scoring threshold; they move as new data (injuries, rotations, rest) arrives. Treat them as a dynamic consensus signal, not a certainty.
The platform will set and display the official close time for this market prior to settlement; check the KALSHI event page or notifications for the announced close time—markets typically close before the game starts or at the platform-specified deadline.
Each outcome corresponds to a specific team total threshold or range for one of the teams (different over/under lines or discrete scoring bins); traders choose the outcome that matches their expectation for that team’s point total.
Resolution conventions are defined by the event’s rules on KALSHI; some markets use regulation only while others include overtime—consult the event’s resolution details to confirm how final team totals will be counted.
Sudden moves reflect updated market expectations about scoring impact; the market adjusts in real time to new information, but final settlement is still based on the official game box score per the event rules.
Head-to-head history can provide context (matchup tendencies, coaching matchups), but prioritize recent form, current rosters, pace, and situational factors—older games matter less if personnel or strategies have changed.