| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 150.5 points scored | 48% | 2¢ | 48¢ | — | $1 | Trade → |
| Over 147.5 points scored | 0% | 2¢ | 26¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 61¢ | 67¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 48¢ | 51¢ | — | $0 | Trade → |
| Over 120.5 points scored | 0% | 51¢ | 98¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 33¢ | 39¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 39¢ | 44¢ | — | $0 | Trade → |
| Over 123.5 points scored | 0% | 50¢ | 82¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 4¢ | 32¢ | — | $0 | Trade → |
| Over 126.5 points scored | 0% | 47¢ | 75¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 54¢ | 60¢ | — | $0 | Trade → |
This market asks which combined total points range the Bryant at New Hampshire game will finish in; Total Points markets matter because they let traders express views specifically on overall scoring rather than who wins.
Bryant and New Hampshire are collegiate programs meeting at New Hampshire (the listed home team), and this market reflects expectations for total scoring in that matchup. Team styles, recent form, roster changes, and the timing of the game in the season (nonconference vs. conference, early vs. late season) all shape scoring outcomes and are useful context for this market.
Market prices reflect traders' collective expectations for which scoring range will contain the final combined score and update as new information arrives. Watch price movements and liquidity to gauge how strongly the market is reacting to news such as injuries, starting lineups, or tempo shifts.
Each of the 11 outcomes corresponds to a specific total-point range listed on the KALSHI market page; the outcome whose range contains the official combined final score is the winning contract. Consult the event contract on KALSHI for the exact numeric boundaries of each bucket.
Settlement happens after the game ends using the official final combined score as recorded by the event's designated official source; KALSHI publishes the settlement timing and the authoritative score provider on the event page. If the game is postponed, canceled, or declared a no-contest, settlement follows KALSHI’s stated contract rules for such situations.
Home-court can affect scoring through travel fatigue for the visitor, crowd influence on shooting and referee dynamics, and venue familiarity for the home team. Compare each team’s home/away scoring splits and any venue-specific tendencies when assessing likely total ranges.
Key stats include pace (possessions per game), offensive and defensive efficiency (points per 100 possessions), turnover rates (which reduce possessions), free throw rates (affect scoring without using possessions), and three-point attempt/success rates (which change scoring distribution).
Low volume indicates limited liquidity and that prices may reflect only a few trades rather than broad consensus, so expect wider bid/ask spreads and potentially greater volatility from new information. Use external data (injury reports, lineups, tempo metrics) to supplement low-liquidity price signals and be cautious about market impact when placing orders.