| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 126.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express views on the combined points scored by Houston and Arizona in their matchup; it matters because market prices aggregate real-time information about scoring expectations and game context.
This is a college basketball matchup between two programs with differing styles: one team often emphasizes defense and controlled pace while the other frequently generates higher possession totals and scoring opportunities. Game-level factors such as current rosters, coaching strategies, and recent form determine whether this particular meeting is high- or low-scoring.
Market prices reflect the collective expectations of participants about which total-point outcome is most likely; use price movement as a signal of new information but always relate it back to on-court factors.
Closing time is set by the platform and may be at the announced game tip or when the official start time is posted; check the KALSHI event page for the exact close time because trades placed after closure are not accepted.
The 11 outcomes represent discrete total-point buckets or labeled totals used by the market; the published outcome labels indicate the range or exact total that must be met by the final combined score for that outcome to win.
Unless the event rules specify otherwise, totals for basketball games typically include points scored in overtime; confirm the market's specific rules on the KALSHI event page before trading.
Late injuries or minute reductions for key scorers or primary ball-handlers can shift expected points and pace significantly; monitor official injury reports and adjust expectations closer to tip-off because markets tend to incorporate confirmed updates quickly.
Head-to-head scores and season scoring/defensive metrics provide helpful context, but they must be adjusted for current rosters, coaching changes, and schedule factors; treat historical data as one input alongside recent efficiency, pace, and lineup information.