| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Hofstra wins the 1H by over 1.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Hofstra wins the 1H by over 10.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Hofstra wins the 1H by over 16.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Drexel wins the 1H by over 11.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Drexel wins the 1H by over 8.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Drexel wins the 1H by over 2.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Hofstra wins the 1H by over 7.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Hofstra wins the 1H by over 4.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Hofstra wins the 1H by over 19.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Hofstra wins the 1H by over 13.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Drexel wins the 1H by over 5.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
This market lets traders take positions on the first-half point spread in the Drexel vs Hofstra game, focusing only on scoring through the first two quarters. First-half markets matter because early-game dynamics, starting lineups, and coaching strategy can produce outcomes different from full-game spreads.
Drexel and Hofstra are conference opponents with recent meetings that often feature contrasting styles of play; both teams' opening lineups and early-game strategies tend to drive first-half scoring patterns. Because the market closes before or at the start of play, pregame information—injuries, announced starters, and travel—has outsized influence on prices.
Prices in this prediction market reflect collective market expectations about which side of the first-half spread will hold; they update as new information arrives and are most informative when trading volume is substantive and recent news is incorporated.
The official close time is determined by the platform and currently listed as TBD; typically the market closes before kickoff or at the scheduled start of the game so that only pregame and in-play first-half outcomes are settled. Check the event page on KALSHI for the exact close time once it is posted.
Those outcomes represent discrete spread bins or point-differential ranges for the first half (different possible margins or lines traders can buy or sell). Each outcome corresponds to a specific first-half spread result as defined on the event page.
Starting lineup changes and late scratches materially affect first-half expectations because they directly change which players will handle early minutes and possessions; markets typically react quickly to confirmed lineup news, especially if it involves primary ball-handlers or scorers.
Head-to-head first-half history can reveal tendencies (which team typically leads at halftime, pace mismatches, early defensive strengths), but small-sample quirks and roster turnover mean that historical data should be combined with current-season form, injury reports, and lineup information.
A reported $0 traded volume means no trades have executed yet on this market; that implies low liquidity and potentially larger pricing spreads or volatile moves when trading begins, so traders should be cautious, watch for initial orders, and consider limit orders or waiting for clearer activity.