| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 158.5 points scored | 47% | 44¢ | 47¢ | — | $8 | Trade → |
| Over 164.5 points scored | 0% | 30¢ | 37¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 80¢ | 87¢ | — | $0 | Trade → |
| Over 172.5 points scored | 0% | 14¢ | 23¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 57¢ | 64¢ | — | $0 | Trade → |
| Over 170.5 points scored | 0% | 19¢ | 25¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 75¢ | 82¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 53¢ | 56¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 36¢ | 43¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 64¢ | 71¢ | — | $0 | Trade → |
| Over 167.5 points scored | 0% | 24¢ | 31¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 70¢ | 77¢ | — | $0 | Trade → |
This market asks which total combined points range the New Mexico at Utah State game will finish in; it matters because total-points markets capture collective expectations about game scoring and react to news that affects offense and defense.
New Mexico (Lobos) and Utah State (Aggies) bring different offensive styles and season trajectories that drive scoring expectations; Utah State plays at home, which can introduce venue-specific influences. Historical head-to-head trends, recent form, and coaching game plans all contribute to how traders assess likely scoring outcomes.
Market prices for each outcome reflect the market’s relative support for different total-point ranges and update as new information arrives; they function as a consensus signal rather than a certainty.
The event page lists the close time as TBD; KALSHI sports markets often close at or just before kickoff, so watch the official market page for the announced closing time and any updates.
The 12 outcomes partition possible combined game scores into mutually exclusive totals or score ranges; view the market’s outcome list to see the exact point brackets used for this event.
Prioritize confirmed starter absences (especially quarterbacks, primary rushers, or key defensive playmakers) and monitor official practice participation reports and game-day injury icons, since late news on those items can materially shift expected scoring.
Home-field factors such as local weather, wind, and elevation can influence conditioning, kicking performance, and play-calling; check the forecast and stadium conditions because cold or windy weather can suppress passing and scoring, while mild conditions typically allow more offense.
Low volume indicates limited liquidity, so individual trades can move prices more dramatically than in liquid markets; interpret sharp moves with caution, corroborate with news, and review the outcome list before trading.