| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 146.5 points scored | 45% | 42¢ | 44¢ | — | $3K | Trade → |
| Over 143.5 points scored | 52% | 49¢ | 51¢ | — | $483 | Trade → |
| Over 137.5 points scored | 69% | 65¢ | 67¢ | — | $69 | Trade → |
| Over 152.5 points scored | 0% | 28¢ | 32¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 16¢ | 20¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 11¢ | 17¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 56¢ | 58¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 69¢ | 74¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 75¢ | 80¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 21¢ | 26¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 34¢ | 36¢ | — | $0 | Trade → |
This market lets traders buy and sell outcomes tied to the combined final score (total points) of the Florida St. at Pittsburgh college football game across 11 discrete point-range outcomes. It matters because prices aggregate information about expected scoring and can help bettors and analysts gauge market sentiment about the game’s scoring environment.
Florida State and Pittsburgh have distinct offensive and defensive histories and styles; understanding each program’s typical pace, red-zone success, and turnover tendencies provides useful background. Season-to-season roster and coaching changes can materially alter scoring trajectories, so combine historical context with current roster and scheme information when evaluating this market.
Treat market prices as the collective expectation for which point-range outcome is most likely, not as a guarantee; they are a real-time signal that should be combined with injury, weather, and matchup analysis. Also consider liquidity and volume on the market when interpreting how much weight to place on price moves.
The market is divided into 11 discrete outcomes, each corresponding to a specific range of combined final points; an outcome pays out if the official final combined score falls inside that range. Consult the event page to see the exact point brackets and individual outcome labels.
The event page currently lists the close time as TBD—check the KALSHI market page for the updated trading cutoff. Settlement will be based on the official final combined score as determined by the market’s designated data source; confirm on-platform whether overtime is included in settlement rules for this specific market.
Confirmed absences of key players—especially starting quarterbacks, lead running backs, or top defensive playmakers—can shift expectations for scoring and quickly move prices across the 11 outcomes. Monitor official pregame injury reports, depth-chart updates, and team announcements, as markets react rapidly to confirmed news.
Head-to-head history can provide context but is often less predictive than matchup-specific factors like current offensive scheme, tempo, and recent opponent quality. Focus on recent games and comparable matchups (e.g., opponents with similar defensive profiles) rather than long-ago results that predate major coaching or roster changes.
Sharp sportsbook line moves, late-breaking injury or suspension news, announced starting quarterback changes, major weather updates, and official coaching decisions (e.g., game-plan shifts) commonly trigger notable price movement. Also watch trade volume—sudden increases in volume often accompany news-driven repricing.