| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Idaho St. wins by over 4.5 Points | 53% | 51¢ | 53¢ | — | $2K | Trade → |
| Northern Arizona wins by over 20.5 Points | 6% | 1¢ | 4¢ | — | $222 | Trade → |
| Idaho St. wins by over 1.5 Points | 65% | 59¢ | 65¢ | — | $170 | Trade → |
| Idaho St. wins by over 10.5 Points | 31% | 25¢ | 31¢ | — | $150 | Trade → |
| Northern Arizona wins by over 8.5 Points | 0% | 11¢ | 17¢ | — | $0 | Trade → |
| Northern Arizona wins by over 14.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
| Northern Arizona wins by over 17.5 Points | 0% | 3¢ | 8¢ | — | $0 | Trade → |
| Northern Arizona wins by over 5.5 Points | 0% | 16¢ | 24¢ | — | $0 | Trade → |
| Northern Arizona wins by over 11.5 Points | 0% | 5¢ | 13¢ | — | $0 | Trade → |
| Northern Arizona wins by over 2.5 Points | 0% | 27¢ | 33¢ | — | $0 | Trade → |
| Idaho St. wins by over 7.5 Points | 0% | 39¢ | 42¢ | — | $0 | Trade → |
This market asks which margin range (the spread) the Northern Arizona at Idaho St. game will fall into; it matters because spread markets capture collective expectations about how competitive the game will be.
Northern Arizona and Idaho State are conference opponents whose matchups are shaped by roster turnover, coaching plans, and conference standings. Factors like travel, altitude at Idaho State's venue, recent form, and key injuries typically drive how these games play out and how traders position themselves.
Each outcome corresponds to a band of final-game margins; market prices reflect the consensus expectation for which margin band is most likely and will move as new information (injuries, weather, starting lineups) arrives.
The market settles after the game’s official final score is posted and certified according to the platform’s settlement rules; if the game is postponed or cancelled, the platform’s contingency rules determine resolution—check the event page for those details.
They represent discrete margin ranges (spread buckets) that cover possible final-score differentials; traders buy the contract that corresponds to the bucket matching the actual margin of victory.
Late injury reports typically cause rapid price movement as traders reassess expected offensive/defensive performance; the magnitude of movement depends on the player’s role and the quality of the replacement.
Home-field matters: travel fatigue, crowd influence, and altitude can impact visiting-team performance, but its effect varies by matchup and should be considered alongside injuries, matchup analytics, and recent form.
Head-to-head history can reveal tendencies, but small-sample and year-to-year roster changes limit its predictive power; prioritize current-season metrics, matchup-based stats, and up-to-date roster information.