| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 142.5 points scored | 53% | 52¢ | 53¢ | — | $23K | Trade → |
| Over 145.5 points scored | 44% | 43¢ | 44¢ | — | $6K | Trade → |
| Over 139.5 points scored | 59% | 58¢ | 59¢ | — | $137 | Trade → |
| Over 133.5 points scored | 76% | 71¢ | 77¢ | — | $10 | Trade → |
| Over 136.5 points scored | 69% | 65¢ | 69¢ | — | $8 | Trade → |
| Over 157.5 points scored | 22% | 17¢ | 20¢ | — | $1 | Trade → |
| Over 154.5 points scored | 0% | 22¢ | 29¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 35¢ | 40¢ | — | $0 | Trade → |
| Over 127.5 points scored | 0% | 83¢ | 86¢ | — | $0 | Trade → |
| Over 130.5 points scored | 0% | 78¢ | 83¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 29¢ | 35¢ | — | $0 | Trade → |
This market asks traders to predict the total points scored in the Montana St. at Northern Arizona game; it matters because total-points markets synthesize public expectations about pace, shooting and game flow into a single, tradable metric.
Montana State and Northern Arizona are conference opponents in the Big Sky and their matchups are often decided by tempo and three-point shooting. Historical context—recent head-to-head scoring, season-long offensive and defensive profiles, and location—will all influence how the game is expected to flow. The market aggregates that information and real-money sentiment into discrete outcome options.
Market prices reflect the consensus view of traders about where the final combined score will land and how confident the market is; higher traded volume typically signals stronger interest or information in the market.
The market page shows 'Closes: TBD'—KALSHI typically closes total-points markets before the scheduled game start or at a specified pregame time; check the market page for the final official close time.
The 11 outcomes are the discrete total-point options available for trading (they can be individual point totals or point-range buckets); view the market interface to see the exact labels and payoff rules for each outcome.
If Montana State favors an up-tempo offense and forces fewer turnovers, that tends to increase expected total points; conversely, if they slow the pace or struggle with outside shooting, it can push the market toward lower totals.
Yes—home-court familiarity, crowd environment, travel for the visitor, and Flagstaff’s altitude can affect stamina and substitution patterns, which may lower or alter second-half scoring dynamics compared with neutral-site games.
The traded volume indicates how much money has changed hands across outcomes so far; higher volume can signal greater market engagement and potentially more information incorporated into current prices, but it does not guarantee accuracy.