| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| New Mexico wins by over 8.5 Points | 49% | 49¢ | 50¢ | — | $8K | Trade → |
| Colorado St. wins by over 4.5 Points | 16% | 9¢ | 15¢ | — | $111 | Trade → |
| New Mexico wins by over 5.5 Points | 63% | 58¢ | 62¢ | — | $84 | Trade → |
| New Mexico wins by over 11.5 Points | 37% | 34¢ | 40¢ | — | $37 | Trade → |
| New Mexico wins by over 2.5 Points | 74% | 70¢ | 73¢ | — | $10 | Trade → |
| Colorado St. wins by over 7.5 Points | 13% | 4¢ | 12¢ | — | $4 | Trade → |
| Colorado St. wins by over 1.5 Points | 0% | 17¢ | 22¢ | — | $0 | Trade → |
| New Mexico wins by over 14.5 Points | 0% | 24¢ | 30¢ | — | $0 | Trade → |
| New Mexico wins by over 23.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
| New Mexico wins by over 20.5 Points | 0% | 10¢ | 15¢ | — | $0 | Trade → |
| New Mexico wins by over 17.5 Points | 0% | 16¢ | 22¢ | — | $0 | Trade → |
This market lets traders buy and sell outcomes tied to the point spread for the Colorado St. at New Mexico college football game, aggregating expectations about the likely margin of victory. It matters because the spread captures game-day information (injuries, weather, lineups) and provides a real-time consensus forecast of how competitive the game will be.
Colorado State and New Mexico are regional opponents whose matchups are shaped by recent team form, coaching matchups, and roster availability; season context such as conference standing and key injuries will influence how bettors view the spread. Historical results and familiarity between programs can make this rivalry-style game less predictable, and local conditions like travel and preparation often play a larger role than typical non-conference games.
Market prices on this spread market represent the collective view of traders about which spread interval or point-differential outcome is most likely at the time of trading. Interpret prices as a dynamic signal that updates with new information rather than as a fixed prediction.
The market breaks the possible final point-differential into multiple discrete spread intervals or brackets so traders can express views on ranges of margins rather than a single point value; each outcome corresponds to one of those intervals for settlement.
The market closure time is listed as TBD; typically spread markets close at or shortly before the official game kickoff, but you should monitor the market page for the exact closing time and any last-minute updates from the platform.
Settlement will be based on the official final score and how that final margin falls into the discrete spread interval defined by the contract; check KALSHI’s settlement rules for handling exact margins, pushes, or any postgame scoring adjustments.
Treat confirmed injury reports and official starting lineup announcements as high-impact information: they often lead to rapid price movement because they change expectations for scoring and matchups; use verified sources and be prepared for volatility around those announcements.
Home-field factors including travel, crowd, and local conditions (such as altitude) can influence performance; the net effect depends on how acclimated each team is and how travel schedules, preparation, and game-day conditions interact, all of which are factored into market prices as information is revealed.