| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Luguentz Dort: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luguentz Dort: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Sarr: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bilal Coulibaly: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Sarr: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 40+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bilal Coulibaly: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Isaiah Hartenstein: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Isaiah Hartenstein: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Isaiah Hartenstein: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chet Holmgren: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bilal Coulibaly: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Sarr: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chet Holmgren: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luguentz Dort: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chet Holmgren: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chet Holmgren: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Sarr: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bilal Coulibaly: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shai Gilgeous-Alexander: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express views on the points outcome for the Oklahoma City at Washington game by selecting from one of 16 point-related outcomes. It matters because market prices aggregate real-time information about team status, expected pace, and scoring that bettors and observers can use to gauge consensus views.
Oklahoma City (the visiting team) and Washington (the home team) bring distinct game plans, recent form, and roster configurations that shape scoring expectations; venue, rest, and matchup specifics will influence whether the game is expected to be higher- or lower-scoring. Markets framed as multiple discrete outcomes are common for totals/points, allowing traders to target narrow ranges rather than a single over/under line.
In this context, market odds represent the crowd’s assessment of which point bucket is most likely given available information; prices change as new information (injuries, lineup changes, news) arrives, so movement reflects updated consensus rather than fixed truth.
The listed close time is TBD; typical practice is that such markets close at the game’s scheduled start or at the specific close time posted on the platform—check the market page for the authoritative close timestamp.
Each outcome corresponds to a specific point range or discrete total as labeled on the market; the outcome that matches the game’s final scoring (per the platform’s official rules) is the winning outcome—review outcome labels and settlement rules on the market page.
A late injury report typically causes the market to reprice: losing a primary scorer or playmaker tends to lower expected points, while a bench player’s absence may have smaller effect; the market’s reaction depends on the injured player’s role, likely replacement, and timing of the announcement.
That depends on the market’s trading rules: some points markets permit in-play trading and will move with in-game events, while others close before tip and do not update during the game—confirm whether this specific market allows live trading on the platform.
Head-to-head history provides context (typical scoring patterns at this matchup or venue) but should be adjusted for current-season roster changes, tempo differences, recent form, and situational factors like rest or injuries; weight recent and directly relevant data more heavily.