| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 149.5 points scored | 29% | 2¢ | 98¢ | — | $75 | Trade → |
| Over 155.5 points scored | 42% | 2¢ | 97¢ | — | $25 | Trade → |
| Over 152.5 points scored | 43% | 2¢ | 94¢ | — | $25 | Trade → |
| Over 131.5 points scored | 0% | 2¢ | 72¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 36¢ | 45¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 30¢ | 40¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 2¢ | 85¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 56¢ | 67¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 51¢ | 59¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 44¢ | 51¢ | — | $0 | Trade → |
| Over 125.5 points scored | 0% | 8¢ | 98¢ | — | $0 | Trade → |
This market asks traders to predict the combined total points scored in the college basketball game Wagner at Central Connecticut St. It matters because aggregated market views can help bettors and analysts gauge expectations about game pace, offensive output, and defensive performance.
Wagner and Central Connecticut State are NCAA teams with season-to-date trends that influence expected scoring: pace of play, recent offensive and defensive form, and home-court dynamics all matter. Historical head-to-head results and roster continuity can provide context, but each single-game market also reacts to very recent information such as injuries, travel, and scheduling.
Market prices on this page represent the collective expectations of traders about which point-range outcome will occur and will move as new information arrives; they are a snapshot of consensus, not guarantees.
The event page shows the close time as TBD; markets like this typically close at or shortly before the official game tipoff. Check the KALSHI market page for the definitive close time, which will update as the game schedule is finalized.
The market is divided into 11 discrete total-point outcomes (each corresponding to a particular point-range or cutoff). Consult the market interface to see the exact score boundaries for each outcome and how the combined game total maps to them.
Look at both teams’ recent offensive and defensive metrics, shooting splits, turnover rates, and pace over the last several games rather than a single outlier. Also adjust for opponent quality and whether key players are present or absent for this matchup.
Materially—late injury reports or announced rotations that remove or add primary scorers and playmakers change expected scoring and possession distribution, and markets usually react quickly. Monitor official team injury reports and credible local beat reporting up to tipoff.
Resolution rules are set by the exchange: common outcomes include voiding the market, settling based on the official final score if the game is completed, or following a rescheduled game's final result. Review KALSHI’s specific settlement and force-majeure rules on the platform for the definitive policy.