| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Houston wins by over 37.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 28.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 31.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 25.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 34.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 22.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur in the Idaho at Houston game; it matters because spread markets aggregate real-time expectations about the margin of victory and can inform bettors and analysts about perceived matchup edges.
Idaho and Houston meet as visiting and home teams, respectively, with each program's recent form, roster changes, and travel logistics shaping pregame expectations. Historical matchups, conference context, and the season phase (nonconference, conference, postseason) all affect how each side is viewed, so check the latest team news and official lineups for context.
Prices on each listed spread outcome reflect traders' collective views about likely margins; movements show how new information (injuries, lineup changes, weather) shifts expectations. Treat market prices as a dynamic signal rather than a guarantee of a final score.
The listing shows a close time of TBD; on many platforms spread markets close at the official start of the game, but check the KALSHI event page for the specific settlement cutoff once it is posted.
The market offers multiple discrete spread outcomes so traders can express belief in different margin ranges or specific point spreads; each outcome corresponds to a particular margin condition the platform will use for settlement.
Settlement will rely on the official final score reported by the league or event provider; the outcome whose defined spread condition matches the game’s final margin will be settled as the winner according to KALSHI’s rules.
Late-breaking items such as starting-lineup changes, confirmed injuries, weather updates (if relevant), or major pregame announcements typically produce the largest and fastest price moves.
Use market prices as one input alongside film study, injury reports, matchup analytics, and situational factors like rest and travel; consider position sizing and that markets reflect collective judgment which can change rapidly as new information arrives.