| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 153.5 points scored | 46% | 46¢ | 51¢ | — | $55 | Trade → |
| Over 150.5 points scored | 54% | 53¢ | 57¢ | — | $6 | Trade → |
| Over 168.5 points scored | 22% | 13¢ | 21¢ | — | $2 | Trade → |
| Over 138.5 points scored | 75% | 75¢ | 83¢ | — | $1 | Trade → |
| Over 147.5 points scored | 0% | 60¢ | 65¢ | — | $0 | Trade → |
| Over 165.5 points scored | 0% | 19¢ | 26¢ | — | $0 | Trade → |
| Over 162.5 points scored | 0% | 26¢ | 31¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 66¢ | 72¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 32¢ | 37¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 71¢ | 77¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 39¢ | 44¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the California at Florida St. game; it matters because the total points outcome summarizes expectations about pace, offense, and defense for this specific matchup. Traders use the market to express views on whether the game will be higher- or lower-scoring than others involving these teams.
California (Cal) and Florida State come from different conferences and often bring contrasting styles — one program may favor quicker tempo or passing, while the other emphasizes physical fronts and defensive schemes. Coaching philosophies, recent roster turnover, and the teams' current-season form can all change typical scoring patterns from year to year. Head-to-head history can provide context, but current personnel and situational factors are usually more predictive for a single game's total.
Odds or prices in this market represent the market's current consensus about how many points will be scored and will move as new information arrives. Use price movement as a signal of shifting expectations driven by injuries, weather, lineup announcements, or large trades rather than a fixed prediction.
The event page currently lists the close time as TBD; typically these markets close at or shortly before kickoff, but check KALSHI directly for the official final close time for this specific market.
The 11 outcomes correspond to discrete point ranges or thresholds defined by the contract; each outcome maps to a specific total-points interval or exact total as described on the market page, so review the contract details to know which outcome matches which scoring range.
A late QB injury typically causes traders to reassess scoring expectations — a backup could reduce or, in some cases, increase projected scoring depending on playing style and experience — and you should expect notable price movement as that news is incorporated.
Monitor official injury reports, travel and practice-day updates, announced starters and depth-chart changes, pregame press conferences, and weather forecasts for the venue, since any of these can materially change scoring expectations.
Head-to-head history can offer narrative context but is less reliable than current-season offensive/defensive metrics, roster composition, and matchup specifics; prioritize recent performance, personnel matchups, and situational factors when forming a view for this market.