| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 160.5 points scored | 49% | 49¢ | 50¢ | — | $3K | Trade → |
| Over 157.5 points scored | 61% | 55¢ | 60¢ | — | $70 | Trade → |
| Over 175.5 points scored | 15% | 16¢ | 22¢ | — | $43 | Trade → |
| Over 145.5 points scored | 83% | 77¢ | 83¢ | — | $19 | Trade → |
| Over 169.5 points scored | 0% | 27¢ | 34¢ | — | $0 | Trade → |
| Over 172.5 points scored | 0% | 21¢ | 28¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 72¢ | 78¢ | — | $0 | Trade → |
| Over 166.5 points scored | 0% | 34¢ | 39¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 66¢ | 72¢ | — | $0 | Trade → |
| Over 163.5 points scored | 0% | 42¢ | 44¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 61¢ | 67¢ | — | $0 | Trade → |
This prediction market asks how many total points will be scored in the college football game between Miami (FL) and SMU. It matters because total-points markets synthesize public information about pace, offensive efficiency, defenses, and situational factors into a single tradable outcome.
Miami (FL) and SMU represent teams from different conferences with distinct styles of play; Miami typically faces Power Five competition while SMU often plays against Group of Five opponents, and the matchup can reveal contrasts in tempo and scoring tendencies. Because these teams do not meet every season, head-to-head history is limited and recent team composition, schedule context, and venue are often more informative than distant prior meetings.
In a total-points market, each outcome reflects market expectations for the sum of both teams' final scores; prices change as new information (injuries, weather, starting lineups) arrives. Interpreting the market means viewing prices as the collective forecast and as a signal for where smart money expects the game’s scoring to land.
Total Points refers to the sum of both teams' final scores as determined by the official game result; consult the KALSHI contract text for whether the market includes overtime or counts only regulation.
An 11-outcome structure typically breaks the possible total into discrete buckets or exact ranges so traders can buy specific scoring bands; check the market's listed outcome labels to see the exact point ranges or thresholds each outcome covers.
Home-field can influence factors such as crowd noise (affecting communication), travel fatigue for the visiting team, and familiarity with local conditions; whether that raises or lowers the expected total depends on both teams’ home/away scoring splits and matchup-specific tendencies.
Key movers include starting quarterback announcements, injuries to primary offensive or defensive playmakers, late roster changes, weather forecasts for the game locale, and significant lineup or game-plan reports from either team.
Settlement rules depend on the KALSHI contract. Many sports contracts specify that the official final score from the league or game officials determines settlement and may require a completed game for finalization; always read the contract settlement terms for this event.