| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Colorado wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Colorado wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market allows participants to predict the final point spread between the Houston Cougars and the Colorado Buffaloes. It serves as a decentralized mechanism for forecasting the margin of victory in this specific college football matchup.
The matchup pits two programs with distinct playing styles and roster compositions within the collegiate landscape. Factors such as conference standing, team health, and home-field advantage at Folsom Field are central to evaluating how these teams perform relative to the expected point spread.
The market prices reflect the collective anticipation of how many points will separate the two teams at the final whistle, relative to the set spread threshold.
The spread represents the forecasted margin of victory, accounting for a handicap that levels the playing field between the two teams.
The outcome is determined by the final score of the game and whether the margin of victory falls within the specific ranges defined by the market outcomes.
Yes, all points scored during overtime periods are included in the final score used to calculate the spread outcome.
Standard market rules typically dictate that if a game is not completed by a specific date, the market may be voided or resolved based on exchange-specific policies.
Home-field advantage is a significant factor in college football, often influencing the spread by several points due to crowd noise and the physical toll of travel on the visiting team.