| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Philadelphia over 91.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 97.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 126.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 132.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 103.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 100.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia over 94.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 129.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the team scoring totals for the Oklahoma City at Philadelphia game; it matters because it aggregates market views about each team’s offensive output and can highlight how new information shifts expectations.
Oklahoma City and Philadelphia are NBA teams with distinct playing styles and personnel; season context, recent form, and matchup history all shape expectations for how many points each team will score. Team totals markets separate each team’s scoring outcome from spreads or game totals, so analysis focuses on one team’s offense and the opposing defense rather than the combined game outcome.
Prediction market prices are a real‑time signal of collective expectations and will move as new information arrives; treat them as one input among injury reports, lineup confirmations, and matchup analytics rather than as definitive predictions.
The 18 outcomes are discrete contract options that correspond to different point‑total buckets or thresholds for the team total(s) offered; the event page or contract description on the platform specifies the exact mappings of outcomes to score ranges.
A team total is the number of points scored by the specified team as recorded in the league’s official box score; whether overtime points are included or excluded depends on the platform’s settlement rules, so check the event’s settlement terms on the market page.
The event page lists the close time as TBD; typically markets like this close at a platform‑specified time before tipoff (or at tipoff), so monitor the Kalshi event page for the confirmed closing time.
Late injuries and confirmed lineup changes can materially change expected scoring: losing a primary scorer or playmaker usually lowers a team’s expected total, while the activation of a scorer or a bench player returning can raise it. Watch official team/injury reports and credible beat reporters for timely updates and expect market prices to react.
Head‑to‑head history and recent offensive/defensive trends are useful context but should be weighted alongside current season pace, recent form, matchup specifics, and roster availability; prioritize recent, matchup‑relevant data over long‑term samples that may not reflect current conditions.