| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 66.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 72.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 57.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 69.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 60.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 63.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 81.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 75.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 78.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
This market predicts which range the combined points scored in the first half of the Dayton vs Richmond game will fall into. First-half totals matter to traders who want to express views about opening-quarter tempo and early-game scoring trends rather than full-game outcomes.
Dayton and Richmond are college basketball programs with distinct styles that can change from season to season; first-half scoring often reflects each team’s starting lineup, pace, and early-game matchups. Historical head-to-head results and recent season trends can provide context, but starting rotations, coaching strategy for the opening half, and day-of availability tend to drive the most immediate impact.
Market prices on this market represent the crowd’s consensus expectation for which first-half scoring range is most likely and update as new information (injuries, starting lineups, tip time) arrives. Interpret movement as the market incorporating new game-specific news rather than a fixed forecast.
Resolution is based on the official game score at the end of the first half (the official halftime score in the league’s box score). Check KALSHI’s market rules for tie-breaking, cancelled-game, or postponed-game provisions specific to this listing.
The nine outcomes partition the range of possible first-half combined point totals into mutually exclusive buckets or exact totals; the market page lists the exact numerical ranges for each outcome, so consult the event interface to see the precise bins.
Players to watch are each team’s primary ball-handlers and top early-minute scorers, plus the starting bigs who shape paint scoring and rebounding; any bench players known for fast starts or hot shooting can also materially affect the first-half total.
Home-court typically affects crowd energy, familiarity with the facility, and minor officiating and comfort advantages, which can increase or decrease pace and scoring. Neutral sites tend to dampen home advantage, while travel and schedule fatigue for the road team can lower early-game offensive output.
Late injuries or lineup changes can meaningfully change expected first-half scoring by altering usage distribution and minutes; monitor official injury reports, warmup status, and announced starters, since the market will often react quickly to that information.