| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 150.5 points scored | 44% | 43¢ | 44¢ | — | $7K | Trade → |
| Over 147.5 points scored | 52% | 52¢ | 53¢ | — | $2K | Trade → |
| Over 144.5 points scored | 58% | 58¢ | 59¢ | — | $1K | Trade → |
| Over 138.5 points scored | 71% | 69¢ | 73¢ | — | $82 | Trade → |
| Over 141.5 points scored | 65% | 64¢ | 67¢ | — | $8 | Trade → |
| Over 162.5 points scored | 0% | 15¢ | 21¢ | — | $0 | Trade → |
| Over 165.5 points scored | 0% | 10¢ | 16¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 20¢ | 27¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 80¢ | 87¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 28¢ | 33¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 34¢ | 39¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 74¢ | 79¢ | — | $0 | Trade → |
| Over 133.5 points scored | 0% | 77¢ | 83¢ | — | $0 | Trade → |
This market trades the total combined points scored by Colorado and Utah in their matchup; it matters to bettors and analysts who want to express a view on game tempo and scoring rather than the winner.
Colorado and Utah have a history of competitive matchups that reflect differing roster construction, coaching philosophies, and situational factors that influence scoring. Past meetings, offseason roster moves, and season-long trends (offensive pace, turnover rates, and defensive strengths) provide context for expectations heading into this game.
Market prices here represent the collective expectation for the final combined score; movements typically reflect new information (injuries, weather, lineup announcements, betting flow) and changing trader sentiment rather than static predictions.
The close time is set by the market operator and can vary; consult the KALSHI market page for this listing’s official close time and any last-minute updates before kickoff.
Each outcome corresponds to a specific total-points bracket or line offered by the exchange; the market page lists the exact labels and payoffs for every outcome so you can see which range you’re trading.
Unexpected starting lineup news (especially at quarterback), late injury updates, weather changes, and sizable bets from informed participants tend to produce the largest price shifts before the market closes.
Home-field factors—crowd noise, travel fatigue, and venue characteristics including altitude and surface—can alter conditioning and game management, which in turn influence scoring patterns, though the direction and magnitude depend on matchup specifics.
Monitor official injury reports, confirmation of starting quarterbacks, late-weather forecasts, and any coach comments about game plan (e.g., conservative vs. aggressive approach); these items tend to be the most informative for total-points expectations.