| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Troy wins by over 6.5 Points | 43% | 43¢ | 46¢ | — | $94K | Trade → |
| Troy wins by over 3.5 Points | 59% | 58¢ | 59¢ | — | $8K | Trade → |
| Troy wins by over 9.5 Points | 34% | 34¢ | 35¢ | — | $2K | Trade → |
| Troy wins by over 15.5 Points | 15% | 15¢ | 17¢ | — | $606 | Trade → |
| Georgia Southern wins by over 6.5 Points | 17% | 13¢ | 16¢ | — | $267 | Trade → |
| Georgia Southern wins by over 9.5 Points | 13% | 7¢ | 11¢ | — | $200 | Trade → |
| Georgia Southern wins by over 3.5 Points | 24% | 19¢ | 23¢ | — | $50 | Trade → |
| Troy wins by over 21.5 Points | 7% | 5¢ | 8¢ | — | $35 | Trade → |
| Troy wins by over 12.5 Points | 25% | 21¢ | 26¢ | — | $16 | Trade → |
| Troy wins by over 18.5 Points | 7% | 8¢ | 12¢ | — | $1 | Trade → |
This market lets traders bet on which spread band the Georgia Southern at Troy college football game will fall into; it matters because spread markets aggregate public and expert expectations about the likely margin of victory ahead of kickoff.
Georgia Southern and Troy are Sun Belt Conference opponents with a regional rivalry; venue (Troy hosts) and recent seasons' roster turnover, coaching changes, and recruiting cycles all shape pregame expectations. The market's multi-outcome structure (10 outcomes) captures a range of possible victory margins, so it reacts to evolving information like injuries, starting lineups, and weather.
Prices represent the market's aggregated view of which spread band is most likely and will move as new information arrives; interpret them as a snapshot of sentiment and information flow, not a guarantee of the final score.
The market closes at the platform's announced cutoff (typically prior to kickoff); outcomes are settled according to the official final score and the platform's settlement rules, so check the event page for the exact closing time and settlement policy.
Each outcome corresponds to a specific point-differential band or range for the final margin (for example, varying bands for one team winning by small, moderate, or large margins); the event page lists the exact labels and ranges used for settlement.
Factor home-field influences (travel, crowd, venue familiarity) together with recent offensive and defensive production, injury reports, and matchup dynamics; consider situational stats like third-down efficiency and red-zone performance to see which team matchup matters most.
Late injuries and lineup announcements can move prices quickly because they materially change expected scoring margins; monitor official team reports, pregame updates, and credible local beat coverage for real-time information that traders will react to.
Overtime scoring is included in the official final margin used to settle the spread outcomes; if a game is postponed or cancelled, settlement follows the platform's contingency rules—consult KALSHI's event settlement policy for this market's specific handling.