| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| San Diego wins by over 3.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| San Diego wins by over 2.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| San Diego wins by over 1.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 1.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 2.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 3.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market covers the point spread for the matchup labeled "Detroit vs San Diego: Spread." It matters because spread markets focus on the margin of victory, letting traders express views about how closely contested the game will be rather than just who wins.
Spread markets translate expectations about team strength, injuries, coaching and situational factors into a set of tradable outcomes. For this Detroit vs San Diego market, historical form, recent roster changes, travel and venue all shape the likely spread; the market aggregates participant views and updates as new information arrives.
Prediction market prices for spread outcomes represent the aggregated market belief about which margin buckets are most likely to occur. Use those prices as a real-time signal of collective sentiment, but combine them with game-day information (lineups, injuries, weather) before drawing conclusions.
Each outcome corresponds to a specific range or bucket of the margin of victory (which team covers the spread by a certain number of points). The market page lists the six available spread-range outcomes and the conditions that define them.
The event page lists the close time as TBD; typically spread markets close at or just before the official game start, but the platform may set an earlier cutoff to account for lineups and last-minute information.
Late injury or lineup confirmations can materially shift which side is likely to cover the spread. Monitor official team reports and public confirmations; markets often move quickly on that information, so act early if you want to reflect it in your position.
Head-to-head history can provide context but its relevance depends on roster and coaching continuity and the sport's turnover rate; recent matchups and current rosters typically carry more weight than decades-old results.
Whether in-play trading is available depends on the platform and how this specific market is configured; check the market page for live trading indicators and any rules about trading after game start.