| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 62.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 80.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 71.5 1H points scored | 0% | 46¢ | 52¢ | — | $0 | Trade → |
| Over 59.5 1H points scored | 0% | 47¢ | 100¢ | — | $0 | Trade → |
| Over 74.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 83.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 68.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 77.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 65.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
This market asks how many combined points (or total score) will be registered in the first half of the Kansas vs Arizona St. game. First-half totals are useful for traders who want exposure to early-game scoring dynamics rather than full-game outcomes.
This is a matchup between two collegiate programs with different offensive and defensive approaches; first-half scoring can diverge from full-game scoring because coaches often use different starters, rotations, and game plans early on. Factors such as recent form, schedule density, travel, and matchup-specific tactics (pressure defense, transition offense) shape first-half output even when season-long numbers exist.
Market prices for each outcome reflect the collective expectations of traders about the first-half total; comparing prices across outcome buckets gives a sense of the market-implied distribution of likely first-half scores. Use prices as an information signal about market views rather than as fixed predictions.
It is the combined number of points scored by both teams during the official first half of the game; any points scored after halftime or in overtime are excluded for settlement purposes.
Multiple outcomes break the range of possible first-half totals into discrete intervals so traders can express beliefs about different scoring bands; each outcome represents a different total-range scenario and its relative market price shows how traders allocate probability across those bands.
Monitor official starting lineup announcements, injury and availability reports, late scratches at shootaround, and any coach comments about rotation or tempo—these items have immediate and measurable effects on first-half scoring expectations.
Head-to-head history can offer context, but its predictive power is limited by roster turnover, coaching changes, and situational differences; more useful signals often come from recent first-half trends for each team and performances against similar defensive or tempo profiles.
Closure and settlement are handled by the platform; markets like this commonly close before the game or at the official start of the first half, and settlement uses the official scorekeeper’s first-half score as the authoritative result—check the platform’s market rules page for exact timing and tie-break procedures.