| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Florida Atlantic wins by over 1.5 Points | 50% | 50¢ | 53¢ | — | $1K | Trade → |
| Florida Atlantic wins by over 2.5 Points | 46% | 46¢ | 49¢ | — | $688 | Trade → |
| Temple wins by over 2.5 Points | 43% | 36¢ | 41¢ | — | $1 | Trade → |
| Temple wins by over 11.5 Points | 0% | 8¢ | 14¢ | — | $0 | Trade → |
| Temple wins by over 5.5 Points | 0% | 25¢ | 30¢ | — | $0 | Trade → |
| Florida Atlantic wins by over 16.5 Points | 0% | 4¢ | 12¢ | — | $0 | Trade → |
| Temple wins by over 1.5 Points | 0% | 40¢ | 43¢ | — | $0 | Trade → |
| Temple wins by over 4.5 Points | 0% | 29¢ | 35¢ | — | $0 | Trade → |
| Temple wins by over 14.5 Points | 0% | 3¢ | 11¢ | — | $0 | Trade → |
| Florida Atlantic wins by over 4.5 Points | 0% | 38¢ | 42¢ | — | $0 | Trade → |
| Florida Atlantic wins by over 17.5 Points | 0% | 3¢ | 11¢ | — | $0 | Trade → |
| Florida Atlantic wins by over 5.5 Points | 0% | 34¢ | 40¢ | — | $0 | Trade → |
| Florida Atlantic wins by over 10.5 Points | 0% | 17¢ | 25¢ | — | $0 | Trade → |
| Florida Atlantic wins by over 8.5 Points | 0% | 24¢ | 30¢ | — | $0 | Trade → |
| Temple wins by over 13.5 Points | 0% | 4¢ | 12¢ | — | $0 | Trade → |
| Temple wins by over 8.5 Points | 0% | 15¢ | 24¢ | — | $0 | Trade → |
| Temple wins by over 10.5 Points | 0% | 10¢ | 19¢ | — | $0 | Trade → |
| Florida Atlantic wins by over 11.5 Points | 0% | 14¢ | 23¢ | — | $0 | Trade → |
| Florida Atlantic wins by over 13.5 Points | 0% | 9¢ | 16¢ | — | $0 | Trade → |
| Temple wins by over 7.5 Points | 0% | 18¢ | 25¢ | — | $0 | Trade → |
| Florida Atlantic wins by over 14.5 Points | 0% | 7¢ | 15¢ | — | $0 | Trade → |
| Florida Atlantic wins by over 7.5 Points | 0% | 27¢ | 32¢ | — | $0 | Trade → |
This market asks which point-spread outcome will obtain in the Temple at Florida Atlantic game, letting traders express expectations about the game's margin. It matters because spread outcomes summarize how market participants collectively view how competitive or lopsided the matchup is likely to be.
Temple and Florida Atlantic are FBS programs whose meetings are shaped by differences in roster construction, coaching philosophies, and seasonal context; Temple frequently emphasizes physical defense and ball control while FAU has often deployed high-tempo offensive schemes. Year-to-year factors such as coaching changes, roster turnover, and recruitment can materially alter either team's profile going into the matchup.
In a spread market, prices correspond to which margin ranges traders think are most likely; movement reflects new information being incorporated into market consensus. Monitor volume and recent trades to see how news (injuries, depth chart updates, weather) is shifting expectations before the market closes.
Close time is set by the platform and typically aligns with official kickoff; check the market page for the specific listed close time. Markets can also close earlier than scheduled for operational reasons or per platform rules.
The 22 outcomes correspond to discrete spread brackets or margin ranges covering possible final-score differentials; each outcome pays out if the final margin falls into that bracket. Consult the outcome labels on the market page for the exact bracket definitions.
Material updates such as starting-quarterback status, major injuries, official injury-report changes, coaching announcements, and late weather forecasts typically move the spread the most. Market responses to these items reflect traders pricing in their expected impact on the final margin.
Resolution depends on the platform's settlement policy; many platforms void or cancel markets if the game is not played or if there is no official final score within a defined period. Check KALSHI’s resolution rules on the market page for the governing procedure.
Sustained line moves accompanied by rising traded volume indicate updated consensus views driven by new information; isolated or low-volume moves may reflect limited liquidity. Use the timing of moves and independent verification of news (injuries, depth charts, weather) to assess whether a change is informative for the final-margin expectation.