| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 76.5 1H points scored | 28% | 7¢ | 27¢ | — | $12 | Trade → |
| Over 73.5 1H points scored | 0% | 15¢ | 35¢ | — | $0 | Trade → |
| Over 70.5 1H points scored | 0% | 24¢ | 47¢ | — | $0 | Trade → |
| Over 55.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 61.5 1H points scored | 0% | 62¢ | 86¢ | — | $0 | Trade → |
| Over 64.5 1H points scored | 0% | 49¢ | 73¢ | — | $0 | Trade → |
| Over 67.5 1H points scored | 0% | 37¢ | 58¢ | — | $0 | Trade → |
| Over 79.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 58.5 1H points scored | 0% | 71¢ | 92¢ | — | $0 | Trade → |
This market asks which first-half total outcome will occur in the New Orleans vs Texas A&M-Corpus Christi game; it matters because first-half totals capture opening-game tempo and can be traded independently of full-game results.
Both teams are NCAA Division I programs with distinct offensive and defensive profiles that drive first-half scoring dynamics; recent seasonal form, scheduled matchups, and coaching approaches to opening lineups shape expectations. Historical head-to-head data and each team’s first-half scoring and defensive numbers provide useful context, though sample sizes can be small between specific opponents.
Market prices reflect collective expectations about the combined points scored in the first half; interpret movements as the market updating on information like injuries, lineup news, or matchup insights rather than fixed forecasts.
Resolution is based on the official first-half score as recorded by the game’s governing statistics provider; the market typically resolves after the first half is completed and official numbers are posted. If the first half is not completed, platform-specific settlement rules apply.
This event offers nine mutually exclusive outcomes representing different ranges or buckets of combined points scored in the first half; each outcome settles based on whether the official first-half total falls into that outcome’s range.
Prioritize confirmed information about starters and minutes — absence of a primary scorer or point guard typically reduces expected first-half scoring, while return of an offensive focal point tends to increase it; also consider depth and replacement quality.
Head-to-head first-half data can be informative but is often limited in sample size; combine it with recent season-level first-half tendencies, pace metrics, and opponent-adjusted offensive/defensive numbers for a fuller picture.
Most platforms settle using the official box score for the first half; if the first half is not completed or official statistics are unavailable, the platform’s contingency rules determine whether the market is voided or otherwise adjusted — check KALSHI’s official resolution policy for details.