| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many combined points will be scored when Prairie View A&M visits Lehigh; it matters to traders who want to express views on the likely scoring environment for this specific matchup.
Prairie View A&M and Lehigh are programs from different conferences and may present contrasting styles of play and travel considerations when they meet. The market currently lists 11 possible outcomes, has $0 volume traded, and the close time is listed as TBD on the platform—check the event page for live updates.
Market prices aggregate trader expectations about the game’s total points; movement in those prices typically reflects new information (injuries, lineup changes, weather, or pace indicators) or shifts in trader sentiment rather than an objective prediction that never changes.
The listed close time is TBD; on many platforms totals markets close at official game start but confirm the exact cutoff on the KALSHI event page before trading.
They represent the discrete total-point bins or exact totals the market uses; each outcome pays if the game’s combined score falls into that specific range—see the market description for exact boundaries.
Overtime is included only if the market rule does not restrict scoring to regulation; verify the market rules on KALSHI to know whether overtime points are counted.
Factor in home/away splits for both teams—home teams often have better offensive efficiency and fewer travel-related fatigue effects—so compare each team’s scoring tendencies at home versus on the road.
Use official team athletic sites, NCAA box scores, sports-reference and similar databases for past game scores; if head-to-head history is limited, examine each team’s recent season scoring trends and results versus comparable opponents.