| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Oklahoma City over 118.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brooklyn over 96.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brooklyn over 102.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brooklyn over 87.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brooklyn over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brooklyn over 93.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oklahoma City over 130.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brooklyn over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brooklyn over 99.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brooklyn over 90.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brooklyn over 84.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market offers tradable outcomes for the team scoring totals of Oklahoma City and Brooklyn in their scheduled matchup, letting participants take positions on how many points each team will score. It matters because team totals isolate offensive performance and respond quickly to lineup, injury, and pace information.
The market presents multiple total lines for one or both teams (18 outcomes in this instance), giving traders options across different scoring thresholds. Historical context to consider includes each team’s offensive style, typical pace of play, and how either franchise performs in home versus road environments; recent roster moves and matchup-specific defenses can shift expectations quickly.
Market prices reflect the consensus view about which total outcomes are more or less likely to occur; traders compare those market-implied expectations to their own view of game conditions to find opportunities. Use prices as a real-time, crowd-sourced signal that updates as news (injuries, rotations, rest) arrives.
The 'team total' refers to the points scored by that specific team within the parameters stated on the event page; some markets include overtime while others count only regulation, so check the market rules for the exact settlement definition.
Each outcome line will close at the time specified on the event page; many platforms close trading at game tip-off but may also set individual close times or suspend trading if significant lineup or injury news appears before the game.
Late scratches or unavailability of a team’s primary scorers or playmakers, major changes to the starting five or rotation, and announced minute reductions or load management plans are the roster developments most likely to move the Oklahoma City team total.
Use head-to-head and recent season trends to understand matchup tendencies and pace, but prioritize recent sample sizes, current roster status, and defensive matchups; markets often already price widely known patterns, so seek incremental or time-sensitive edges.
Settlement follows the platform’s published rules: some markets are voided if the game is not played within a specified window, while inclusion of overtime depends on the market specification; consult the event’s settlement policy and customer support for dispute procedures.