| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Orlando wins by over 16.5 Points | 47% | 46¢ | 47¢ | — | $13K | Trade → |
| Orlando wins by over 14.5 Points | 54% | 54¢ | 55¢ | — | $2K | Trade → |
| Orlando wins by over 13.5 Points | 59% | 58¢ | 59¢ | — | $1K | Trade → |
| Orlando wins by over 31.5 Points | 14% | 10¢ | 15¢ | — | $541 | Trade → |
| Orlando wins by over 19.5 Points | 32% | 36¢ | 40¢ | — | $171 | Trade → |
| Orlando wins by over 20.5 Points | 32% | 34¢ | 38¢ | — | $147 | Trade → |
| Orlando wins by over 22.5 Points | 31% | 29¢ | 30¢ | — | $143 | Trade → |
| Orlando wins by over 17.5 Points | 42% | 43¢ | 44¢ | — | $131 | Trade → |
| Orlando wins by over 2.5 Points | 89% | 81¢ | 88¢ | — | $112 | Trade → |
| Orlando wins by over 26.5 Points | 49% | 22¢ | 27¢ | — | $74 | Trade → |
| Orlando wins by over 25.5 Points | 23% | 21¢ | 26¢ | — | $40 | Trade → |
| Orlando wins by over 8.5 Points | 72% | 68¢ | 73¢ | — | $9 | Trade → |
| Orlando wins by over 1.5 Points | 88% | 86¢ | 89¢ | — | $2 | Trade → |
| Orlando wins by over 7.5 Points | 80% | 71¢ | 76¢ | — | $2 | Trade → |
| Orlando wins by over 10.5 Points | 72% | 62¢ | 66¢ | — | $1 | Trade → |
| Orlando wins by over 23.5 Points | 0% | 27¢ | 31¢ | — | $0 | Trade → |
| Orlando wins by over 32.5 Points | 0% | 11¢ | 15¢ | — | $0 | Trade → |
| Orlando wins by over 11.5 Points | 0% | 59¢ | 63¢ | — | $0 | Trade → |
| Orlando wins by over 29.5 Points | 0% | 15¢ | 20¢ | — | $0 | Trade → |
| Orlando wins by over 4.5 Points | 0% | 79¢ | 84¢ | — | $0 | Trade → |
| Orlando wins by over 5.5 Points | 0% | 75¢ | 81¢ | — | $0 | Trade → |
| Orlando wins by over 28.5 Points | 0% | 16¢ | 18¢ | — | $0 | Trade → |
This market lets traders buy and sell discrete spread outcomes for the Washington at Orlando game; it aggregates participant views about which side will cover the point spread and by how much. It matters because the spread market provides a real‑time, tradable expression of collective expectations ahead of kickoff.
Washington (visitors) and Orlando (home) matchups are shaped by roster composition, schedule, and coaching strategy; markets like this break the range of possible margins into multiple outcomes so traders can express granular views. The market shows 22 distinct outcomes and has seen $17,162 in volume, indicating some liquidity while the close time is currently listed as TBD. Typical drivers include injuries, rest, matchup mismatches, pace of play, and last‑minute lineup decisions.
Prices in this spread market reflect the aggregated beliefs of participants about which team will cover a particular margin; higher prices mean the market assigns more value to that outcome, but they are not guarantees. Treat market prices as continuously updating signals that respond to news and information up to the market close.
The market close is listed as TBD on the event page; typically spread markets close before game start according to the platform’s schedule. Final settlement is determined after the official game final score is posted and outcomes are resolved against the specific margins defined by the market—check the market rules for exact settlement timing and tie handling.
The 22 outcomes partition the range of possible final margins into discrete spread points or ranges (for example, specific cover margins). Each outcome corresponds to a particular margin relative to the posted spread; purchasing an outcome is a bet that the game’s final margin will fall into that outcome’s defined range.
Monitor official injury reports and team announcements, because a confirmed absence of a primary starter or key bench player often shifts expectations materially. If you trade, consider reducing size, widening stop parameters, or waiting for the market to reprice—price movement after such news is how the market incorporates the new information.
Head‑to‑head history can offer context about matchup tendencies, but recent form, current rosters, and situational factors (rest, injuries, home/road splits) are usually more predictive for a single game. Use head‑to‑head trends as one input among many rather than a decisive factor.
Traded volume gives a rough sense of market activity and potential liquidity, but fills depend on order size, available depth at desired prices, and distribution across the 22 outcomes. To improve execution, use limit orders, check order book depth, and be mindful that some outcomes may be much thinnerly traded than others.