| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Portland St. wins by over 6.5 Points | 47% | 45¢ | 47¢ | — | $10K | Trade → |
| Portland St. wins by over 3.5 Points | 59% | 57¢ | 59¢ | — | $3K | Trade → |
| Portland St. wins by over 9.5 Points | 37% | 35¢ | 37¢ | — | $434 | Trade → |
| Idaho St. wins by over 9.5 Points | 7% | 7¢ | 8¢ | — | $185 | Trade → |
| Idaho St. wins by over 21.5 Points | 3% | 1¢ | 2¢ | — | $50 | Trade → |
| Idaho St. wins by over 18.5 Points | 3% | 1¢ | 2¢ | — | $50 | Trade → |
| Idaho St. wins by over 3.5 Points | 19% | 20¢ | 24¢ | — | $31 | Trade → |
| Idaho St. wins by over 6.5 Points | 0% | 12¢ | 17¢ | — | $0 | Trade → |
| Idaho St. wins by over 12.5 Points | 0% | 4¢ | 6¢ | — | $0 | Trade → |
| Idaho St. wins by over 15.5 Points | 0% | 3¢ | 4¢ | — | $0 | Trade → |
This market lets traders express how many points Idaho State will lose or win by against Portland State by buying and selling discrete spread outcomes. It matters because spread markets condense information about injuries, matchups, and public sentiment into tradable prices.
Idaho State (Bengals) and Portland State (Vikings) are FCS Big Sky opponents; annual matchups can be affected by roster turnover, midweek injuries, and coaching changes common at this level. Historical results and recent season form provide context, but single-game factors such as starting quarterback availability and travel can shift expectations quickly.
Market prices represent the collective expectation of which spread interval will contain the final margin of victory; treat prices as a real-time signal to compare with line moves, injury reports, and matchup analysis rather than as definitive forecasts.
The event page lists the close as TBD; final closing time will be set by the platform, typically before or at kickoff. Check the KALSHI market page for the official close time and any announcements.
Each outcome corresponds to a specific spread interval or margin range for the final point differential; the outcome that contains the actual final margin resolves as the winner. Consult the market description on KALSHI to see the exact interval boundaries.
A confirmed late injury to a starter typically causes rapid re-pricing as traders update expectations for offensive production and margin; the backup's experience, playing style, and recent practice reps are key factors traders consider.
Use it as a complementary signal: prediction markets aggregate trader beliefs and can move on new information faster, while sportsbooks set lines for liquidity and risk management. Compare both, verify settlement rules, and factor in your own analysis.
Resolution specifics vary by market and platform. Check the KALSHI market rules linked on the event page to confirm whether the spread is settled on the final score including overtime or on the end of regulation; the platform's official resolution policy governs outcomes.