| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Edmonton wins by over 1.5 goals | 33% | 32¢ | 33¢ | — | $2K | Trade → |
| Edmonton wins by over 2.5 goals | 20% | 21¢ | 22¢ | — | $375 | Trade → |
| Ottawa wins by over 1.5 goals | 28% | 29¢ | 32¢ | — | $53 | Trade → |
| Ottawa wins by over 2.5 goals | 14% | 19¢ | 20¢ | — | $3 | Trade → |
This market lets traders bet on which spread band the final margin of the Ottawa at Edmonton game will fall into. It matters because spread markets aggregate real-time expectations about margin of victory and react quickly to news that affects game competitiveness.
Ottawa and Edmonton are meeting in a regular-season matchup where coaching game plans, quarterback play, and roster availability drive expectations for scoring margin. Travel, short weeks, recent form, and special-teams performance have shaped past meetings and remain relevant going into this game. The market remains open until the operator sets a close time (currently TBD) and will update as lineup and weather news emerge.
Market prices represent the consensus view of which spread band is most likely to describe the final margin; they move as traders incorporate new information. Use prices as a dynamic signal of how the market values team news, injuries, and other game-day developments.
The market close is listed as TBD on the page; organizers usually close spread markets shortly before kickoff or at a time they specify. Settlement is based on the official final score as recorded by the league and the market operator’s rules (typically including overtime if the league counts it); only the spread band that matches the final margin will pay out.
The four outcomes correspond to mutually exclusive spread bands that partition possible final margins (for example, ranges favoring Ottawa or Edmonton by different margins). The market description shows the exact band definitions; only the band containing the actual final margin is the winning outcome.
Significant injuries—especially to quarterbacks, lead rushers, or key defenders—typically move the market because they alter scoring expectations and matchup advantages. Markets react quickly to official injury reports, practice-day designations, and confirmed scratches, so expect price shifts as credible information arrives.
Adverse weather or a poor field can reduce scoring and favor the lower-margin spread bands; conversely, clear conditions favor higher-scoring outcomes. Late scratches to offensive playmakers or kickers also change expected margin; traders often reassess if multiple late changes occur.
Head-to-head history provides context about matchup tendencies and coaching familiarity but is less predictive than current-season form, injuries, and roster changes. Use historical results as one input among many—especially when rosters or coaches have changed since past meetings.