| 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 → |
| Dallas wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market offers outcomes on the spread for the Detroit at Dallas game, letting traders express expectations about the margin of victory. It matters because spread markets aggregate late-breaking information like injuries, lineup changes, and public sentiment.
Detroit and Dallas meet within a seasonal context where home‑venue, travel, and schedule timing often shape outcomes; recent roster changes and coaching matchups are especially relevant. Because the market closes TBD, timing of injuries, official lineups, and weather updates can move prices rapidly. Historical context such as recent head‑to‑head results and how each team performs at home versus on the road provides useful background.
Market odds represent the collective view of which spread outcome is most likely given available information; movement in odds reflects new news or changing trader expectations. Use odds as a dynamic signal that should be combined with your own research on injuries, matchups, and game conditions.
The market close time is listed as TBD; the platform will announce the official cutoff on the market page—watch for an update tied to kickoff or an explicit settlement timestamp.
Settlement uses the sport’s official final score as recorded by the recognized league or official scorer and follows the contract’s settlement rules; check the contract details for how overtime, ties, or abandoned games are handled.
Late injury reports, official starting lineup announcements, key personnel decisions (e.g., quarterback or goalie changes), and verified reports about travel or weather are the most common triggers for price movement.
Use recent seasons and location‑specific splits rather than all‑time records; prioritize matchups from similar rosters and coaching staffs because older games may not reflect current team composition.
Monitor the availability and recent performance of each team’s primary offensive playmaker (e.g., QB or lead scorer), the opposing pass rush/defensive front, secondary scoring options, and special teams units—depth and recent injury patterns also matter.