| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 153.5 points scored | 44% | 45¢ | 49¢ | — | $144 | Trade → |
| Over 150.5 points scored | 55% | 53¢ | 55¢ | — | $43 | Trade → |
| Over 147.5 points scored | 63% | 58¢ | 63¢ | — | $30 | Trade → |
| Over 167.5 points scored | 0% | 1¢ | 97¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 70¢ | 76¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 37¢ | 42¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 30¢ | 36¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 64¢ | 69¢ | — | $0 | Trade → |
| Over 162.5 points scored | 0% | 24¢ | 30¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 75¢ | 82¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 79¢ | 87¢ | — | $0 | Trade → |
| Over 165.5 points scored | 0% | 18¢ | 25¢ | — | $0 | Trade → |
This market asks which total combined points bracket the college football game between Memphis and Tulane will finish in; it matters because total points reflect game tempo, offensive balance, and situational factors bettors and analysts care about.
Memphis and Tulane are FBS programs that meet within similar conference contexts, and their matchups can vary widely in scoring depending on roster changes and coaching styles. Historical scoring between the teams and their current-season offensive and defensive trends provide useful context, but game-to-game variability (injuries, weather, turnovers) often drives the final total.
Market prices aggregate participants’ beliefs about which scoring range is most likely and update as new information arrives; movements typically reflect news such as injuries, weather reports, or lineup changes rather than fixed predictions.
Close time is listed on the market page and may be set to the scheduled kickoff or updated by the platform; check the market’s info panel for the official close because it can change if the kickoff time is adjusted.
Whether overtime points count depends on the market’s settlement rules; most sports markets specify this in the event description—review the market rules on the KALSHI page to confirm if overtime is included.
A late injury to a key offensive or defensive player typically causes traders to reassess expected scoring—quarterback injuries often lower expected scoring while injuries to defensive playmakers can push expectations higher; the market will react as information becomes public.
The 12 outcomes correspond to discrete total-point ranges that together cover all possible combined scores; the market interface shows the exact numeric range for each outcome and only the bracket that contains the final official score will resolve as the winner.
Head-to-head history offers context but is limited by small sample size and roster turnover; prioritize current-season offensive/defensive metrics, recent form, and matchup-specific factors (pace, injuries, weather) over long-ago games.