| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Montana St. wins by over 5.5 Points | 51% | 51¢ | 53¢ | — | $6K | Trade → |
| Montana St. wins by over 8.5 Points | 39% | 38¢ | 43¢ | — | $852 | Trade → |
| Montana St. wins by over 2.5 Points | 66% | 63¢ | 66¢ | — | $699 | Trade → |
| Northern Arizona wins by over 1.5 Points | 21% | 22¢ | 28¢ | — | $208 | Trade → |
| Montana St. wins by over 11.5 Points | 31% | 28¢ | 33¢ | — | $151 | Trade → |
| Montana St. wins by over 17.5 Points | 15% | 13¢ | 17¢ | — | $18 | Trade → |
| Northern Arizona wins by over 4.5 Points | 0% | 15¢ | 19¢ | — | $0 | Trade → |
| Northern Arizona wins by over 7.5 Points | 0% | 9¢ | 11¢ | — | $0 | Trade → |
| Montana St. wins by over 20.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
| Northern Arizona wins by over 10.5 Points | 0% | 4¢ | 6¢ | — | $0 | Trade → |
| Montana St. wins by over 14.5 Points | 0% | 20¢ | 24¢ | — | $0 | Trade → |
This market lets traders wager on the point-spread outcome of the college football game between Montana State and Northern Arizona. It matters because the spread encodes market expectations about the margin of victory and is sensitive to game-day information.
Montana State and Northern Arizona are conference opponents whose matchups are shaped by seasonal form, roster availability, and coaching strategies. Historical results and recent trends between the two programs provide context but can shift quickly with injuries, lineup changes, or weather. The market aggregates participant views on those factors into tradable outcomes.
Prediction market odds for a spread reflect the collective market view about the likely margin of victory; they are useful signals but not certainties. Traders should interpret movements as changing information — check liquidity and recent volume to gauge how much weight to give price moves.
The event page lists the close time as TBD; platforms commonly close spread markets at or shortly before kickoff or a platform-defined time. Check the market page or platform notifications for the official close time.
The 11 discrete outcomes correspond to different spread-margin buckets or lines that cover possible final-margin scenarios. Consult the market description on the platform for the exact mapping of outcomes to margin ranges.
Late injuries typically prompt rapid repricing: the market will move to reflect the perceived impact on scoring, defensive matchups, and depth. Assess the injured player’s role, replacement quality, and whether the news is corroborated by multiple sources before acting.
Home crowd, travel fatigue, and elevation can influence conditioning and play style; teams unaccustomed to a high-altitude venue or long travel may slow offensively or make more mistakes. Evaluate both teams’ typical environments and recent travel schedules when considering these effects.
Settlement rules depend on the platform’s policies: markets are typically settled using the official final score or per the platform’s cancellation/voiding policy. Review the platform’s settlement and dispute procedures for specifics and monitor official game announcements.