| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Oklahoma City wins by over 10.5 Points | 49% | 48¢ | 49¢ | — | $20K | Trade → |
| Oklahoma City wins by over 1.5 Points | 79% | 74¢ | 79¢ | — | $10K | Trade → |
| Oklahoma City wins by over 7.5 Points | 61% | 59¢ | 61¢ | — | $7K | Trade → |
| Oklahoma City wins by over 13.5 Points | 40% | 38¢ | 40¢ | — | $3K | Trade → |
| Oklahoma City wins by over 8.5 Points | 57% | 55¢ | 57¢ | — | $3K | Trade → |
| Oklahoma City wins by over 11.5 Points | 45% | 45¢ | 46¢ | — | $3K | Trade → |
| Oklahoma City wins by over 5.5 Points | 67% | 64¢ | 66¢ | — | $926 | Trade → |
| Oklahoma City wins by over 4.5 Points | 72% | 69¢ | 72¢ | — | $268 | Trade → |
| Oklahoma City wins by over 26.5 Points | 11% | 10¢ | 14¢ | — | $191 | Trade → |
| Oklahoma City wins by over 19.5 Points | 27% | 23¢ | 26¢ | — | $178 | Trade → |
| Chicago wins by over 1.5 Points | 22% | 18¢ | 20¢ | — | $171 | Trade → |
| Chicago wins by over 5.5 Points | 11% | 11¢ | 14¢ | — | $161 | Trade → |
| Oklahoma City wins by over 14.5 Points | 37% | 35¢ | 38¢ | — | $77 | Trade → |
| Oklahoma City wins by over 2.5 Points | 79% | 72¢ | 74¢ | — | $25 | Trade → |
| Oklahoma City wins by over 23.5 Points | 17% | 14¢ | 17¢ | — | $22 | Trade → |
| Oklahoma City wins by over 16.5 Points | 28% | 30¢ | 32¢ | — | $17 | Trade → |
| Oklahoma City wins by over 17.5 Points | 31% | 26¢ | 29¢ | — | $12 | Trade → |
| Oklahoma City wins by over 25.5 Points | 11% | 13¢ | 17¢ | — | $11 | Trade → |
| Chicago wins by over 4.5 Points | 11% | 14¢ | 16¢ | — | $2 | Trade → |
| Oklahoma City wins by over 22.5 Points | 0% | 16¢ | 19¢ | — | $0 | Trade → |
| Oklahoma City wins by over 20.5 Points | 0% | 20¢ | 23¢ | — | $0 | Trade → |
| Chicago wins by over 2.5 Points | 0% | 17¢ | 21¢ | — | $0 | Trade → |
This market offers trader-priced outcomes on the point spread for the Oklahoma City at Chicago game, letting participants take positions on how many points one team will win or lose by. It matters because spread markets synthesize public information about injuries, travel, and matchup edges into tradable prices.
Oklahoma City and Chicago are two NBA franchises with distinct styles; Oklahoma City typically emphasizes transition scoring and floor spacing while Chicago often leverages perimeter defense and home-court crowd influence. Recent roster moves, rest patterns, and any changes to starting lineups can materially alter the matchup compared with past meetings. Because both teams' rosters and roles evolve during a season, head-to-head history is context but not determinative.
Each outcome in this spread market corresponds to a specific spread range; market prices reflect the consensus view among traders about which range is most likely. Prices move as new information—injuries, starting lineups, and betting flows—arrives, so interpret them as a live aggregation of that information rather than a fixed prediction.
The 22 outcomes partition the range of possible final point differentials into discrete spread intervals (e.g., winning margins or margin buckets); each outcome pays if the final margin falls within that interval.
The listing currently shows 'Closes: TBD'; typically the market will close shortly before the official game start time or when the exchange announces an explicit cut-off, so watch the market page and exchange notifications for the final close time.
Recent head-to-head results provide context for matchup tendencies (how defenses handled particular players, rebounding battles, etc.), but you should weight those outcomes by roster changes, current form, and situational factors like rest and injuries rather than treating them as definitive.
Late injury reports and confirmed lineup changes are high-impact information that traders use to reprice outcomes quickly; significant absences for starters or proven bench scorers typically shift the market toward outcomes favoring the opponent or larger spreads.
Total volume of $46,799 indicates the cumulative dollars traded and gives a rough sense of market activity and liquidity; higher volume generally means tighter pricing and easier order execution, while lower volume can lead to wider spreads and greater price sensitivity to single trades.