| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Detroit wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which side of the point spread will hold in the upcoming Philadelphia at Detroit matchup, letting traders express expectations about the game's final margin. Spread markets matter because they aggregate information about injuries, matchups, and other game-day variables that determine how far one team is expected to win or lose by.
Spread markets convert the game outcome into buckets of point-differential outcomes rather than simply who wins, and the specific interpretation depends on the sport and the spread intervals listed by the platform. Historical rivalry, recent form, and situational factors (home/away, rest, injuries) typically drive how the market prices each spread outcome. Because this listing closes TBD on KALSHI, prices can move as new information arrives up to the platform-defined cutoff.
Market prices reflect collective expectations about the final margin between Philadelphia and Detroit and will shift as injury news, starting lineups, and other data arrive; treat prices as a real-time signal of market belief rather than a fixed forecast. For this event, compare prices across the four outcomes to see which margin ranges the market favors, and monitor updates as game time approaches.
The event listing shows the close as TBD; on KALSHI, spread markets typically close at or shortly before game start, but you should check the market page for the platform-defined cutoff and any last-minute changes.
Each outcome corresponds to a mutually exclusive range of final point differentials (spread buckets) as defined by the market creator on KALSHI; review the outcome labels on the specific market page to see which margins each option covers.
New injury or lineup information typically moves prices quickly: the absence of a key starter can widen or flip the favored spread bucket, while confirmation that starters are healthy tends to stabilize prices; watch official gameday reports and team announcements for the biggest impacts.
Head-to-head history is informative but context-dependent: focus on recent meetings, roster continuity, and season-long trends rather than decades-old results, since personnel and coaching changes materially alter matchup relevance.
Yes — the sport determines scoring dynamics and sensitivity to factors like weather (more relevant for outdoor football), while indoor sports are less weather-dependent; confirm which league and venue this Philadelphia at Detroit game is played in to apply the right contextual considerations.