| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Baylor wins by over 2.5 Points | 53% | 54¢ | 56¢ | — | $2K | Trade → |
| Baylor wins by over 4.5 Points | 49% | 42¢ | 48¢ | — | $800 | Trade → |
| Baylor wins by over 1.5 Points | 60% | 54¢ | 59¢ | — | $138 | Trade → |
| Baylor wins by over 5.5 Points | 39% | 39¢ | 44¢ | — | $125 | Trade → |
| Baylor wins by over 7.5 Points | 32% | 31¢ | 35¢ | — | $83 | Trade → |
| Baylor wins by over 8.5 Points | 28% | 28¢ | 33¢ | — | $15 | Trade → |
| Arizona St. wins by over 2.5 Points | 36% | 30¢ | 36¢ | — | $9 | Trade → |
| Arizona St. wins by over 4.5 Points | 27% | 23¢ | 30¢ | — | $5 | Trade → |
| Arizona St. wins by over 7.5 Points | 15% | 14¢ | 22¢ | — | $2 | Trade → |
| Arizona St. wins by over 8.5 Points | 13% | 12¢ | 19¢ | — | $1 | Trade → |
| Baylor wins by over 19.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
| Arizona St. wins by over 14.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
| Arizona St. wins by over 1.5 Points | 0% | 34¢ | 40¢ | — | $0 | Trade → |
| Baylor wins by over 14.5 Points | 0% | 11¢ | 20¢ | — | $0 | Trade → |
| Baylor wins by over 13.5 Points | 0% | 13¢ | 21¢ | — | $0 | Trade → |
| Baylor wins by over 16.5 Points | 0% | 7¢ | 14¢ | — | $0 | Trade → |
| Arizona St. wins by over 10.5 Points | 0% | 7¢ | 14¢ | — | $0 | Trade → |
| Arizona St. wins by over 11.5 Points | 0% | 6¢ | 13¢ | — | $0 | Trade → |
| Arizona St. wins by over 13.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
| Baylor wins by over 10.5 Points | 0% | 21¢ | 29¢ | — | $0 | Trade → |
| Baylor wins by over 17.5 Points | 0% | 5¢ | 12¢ | — | $0 | Trade → |
| Baylor wins by over 11.5 Points | 0% | 18¢ | 26¢ | — | $0 | Trade → |
| Arizona St. wins by over 5.5 Points | 0% | 19¢ | 26¢ | — | $0 | Trade → |
This market lets traders buy and sell outcomes tied to the point spread for the Baylor at Arizona St. college football game. It matters because spread markets aggregate public and expert views about the expected margin of victory and respond quickly to new information.
Baylor and Arizona State are FBS programs with differing styles, rosters, and home-field environments that influence expected matchups. Historical head-to-head results are one input but current-season form, injuries, and matchup-specific strengths (offense vs. defense, tempo, special teams) usually drive market movement. The listed outcomes give traders ways to express views on how large the margin will be rather than just who wins.
In a spread market, prices reflect the collective expectation for final-margin outcomes and update as new information arrives; they are a snapshot of market sentiment, not guarantees. Use them alongside injury reports, lineups, and matchup analysis to form a view.
The event listing shows the close as TBD; platforms commonly close spread markets at or shortly before kickoff, but exact timing varies — check the KALSHI market page for the definitive close time. If the market closes before kickoff, very late-breaking news may not be reflected.
Those outcomes correspond to specific point-margin buckets or individual spread values traders can buy or sell. After the game, the platform settles to the single outcome that matches the official final margin as reported by the governing scoreboard.
Monitor the official injury report, announced starting lineups, quarterback status, key offensive or defensive starters, and any in-season suspensions; changes to kickers or returners can also shift expected scoring and field-position dynamics.
Home-field advantages include crowd noise, travel fatigue for the visitor, and local climate familiarity — in Tempe heat or late-afternoon conditions that can favor the team accustomed to them. Those factors tend to adjust expectations for points scored and turnover likelihood, and are priced into the spread by traders.
Settlement is based on the official final score reported by the sport’s official scoring authority; the outcome matching the final margin is declared the winner. If the game is postponed, canceled, or otherwise not completed, the platform’s rulebook will specify refund or alternate settlement procedures.