| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 130.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 133.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 136.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 139.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 142.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 145.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 157.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which total-points range the Louisville at Michigan game will finish in; it matters because total points reflect game tempo, team strengths, and situational factors that bettors and analysts track.
The event pits Louisville and Michigan, two college football programs with different styles and histories, in a head-to-head game whose combined scoring outcome is the focus. Historical tendencies (team tempo, defensive rankings, and coaching philosophies) and current-season form drive expectations for the game’s scoring profile.
Market prices aggregate trader views about which total-points bucket is most likely; price moves reflect new information (injuries, weather, lineup changes) and should be used alongside statistical analysis, not as a sole predictor.
The event metadata shows the close time as TBD; platforms commonly close total-points markets at the scheduled game start or at a platform-specified cutoff—check the KALSHI event page for the official close time.
Total Points refers to the combined final score of both teams as officially recorded; whether overtime is included depends on the market’s rule text, so confirm the event rules on the platform before trading.
The 11 outcomes partition the range of possible combined scores into mutually exclusive buckets or thresholds; the event page lists the specific ranges and an outcome wins if the game’s final combined score falls into that range.
Quarterbacks and primary offensive playmakers set scoring potential, while defensive leaders and pass-rush/coverage matchups determine suppression of points; special teams (kickers, returners) and red-zone units also have outsized influence.
Focus on recent points-per-game trends, opponent-adjusted offensive/defensive efficiency, pace (possessions per game), turnover rates, and late-breaking news (injuries, weather, travel); combine these metrics with the market’s current pricing as one input into your view.