| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 71.5 1H points scored | 32% | 32¢ | 46¢ | — | $78 | Trade → |
| Over 68.5 1H points scored | 54% | 54¢ | 60¢ | — | $60 | Trade → |
| Over 80.5 1H points scored | 26% | 5¢ | 24¢ | — | $19 | Trade → |
| Over 59.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 77.5 1H points scored | 0% | 13¢ | 33¢ | — | $0 | Trade → |
| Over 65.5 1H points scored | 0% | 57¢ | 81¢ | — | $0 | Trade → |
| Over 83.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 62.5 1H points scored | 0% | 69¢ | 89¢ | — | $0 | Trade → |
| Over 74.5 1H points scored | 0% | 20¢ | 44¢ | — | $0 | Trade → |
This market lets traders express views on the combined points scored in the first half of the UNC Greensboro vs Furman basketball game. It matters because first-half totals isolate early-game pace and scoring, which can differ from full-game patterns and create trading opportunities.
UNC Greensboro (Spartans) and Furman (Paladins) are conference opponents whose game-level strategies, roster changes, and recent form shape first-half scoring. Historical matchups, coaching tendencies and tempo differences between the two programs provide useful background when evaluating expected first-half scoring.
Market odds reflect the crowd’s aggregated expectation for which first-half total range will occur; interpret movements as shifts in collective information (injuries, starting lineups, announced strategies) rather than exact forecasts.
The market is based on the combined number of points scored by both teams during the official first half (as recorded in the game’s official box score). Settlement follows the exchange’s stated procedures — check KALSHI’s settlement rules for the precise data source used.
The event’s listed close is TBD. In practice, first-half total markets typically close at or shortly before the game’s opening tip; consult KALSHI for the exact platform close time for this market.
The nine outcomes partition possible first-half combined point totals into discrete ranges (e.g., low through high scoring buckets). Review the market page on KALSHI to see the exact point-range labels for each outcome.
Head-to-head first-half scores are informative but should be weighted alongside roster changes, coaching adjustments, and current-season pace metrics; use recent first-half H2H games as one input rather than a sole predictor.
Settlement in those scenarios follows KALSHI’s event rules. Commonly, markets are voided if the relevant portion of play does not occur, but exact handling (void, delayed settlement, or using partial data) is determined by the exchange — check the platform’s contingency policies.