| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 58.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 73.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 52.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 55.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 67.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 70.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 76.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 64.5 1H points scored | 0% | 41¢ | 47¢ | — | $0 | Trade → |
| Over 61.5 1H points scored | 0% | 53¢ | 59¢ | — | $0 | Trade → |
This market lets traders take positions on the combined number of points scored in the first half of the Monmouth vs Hofstra basketball game. It matters because first-half scoring reflects tempo, early-game matchups, and coaching decisions that differ from full-game outcomes.
Both Monmouth and Hofstra are NCAA Division I programs with distinct offensive tendencies and roster compositions; mid-major matchups like this often feature variable pacing and lineup experimentation. Historical head-to-head results can offer context but are less predictive than current-season tempo, shooting form, and announced lineups.
Market prices reflect the collective expectation about which first-half scoring range is most likely and update as new information arrives. Use those prices alongside box-score metrics, injury reports, and announced starters to form a view.
The event page shows the close time as TBD; typically such markets close at or just before the first-half tip-off, but the official close time is posted on the market page and can vary with platform rules or late game scheduling changes.
Each outcome represents a distinct first-half scoring range or threshold for the combined Monmouth and Hofstra points; the specific resolution terms (range boundaries or exact thresholds) are listed in the market description and determine which contract pays out based on the official first-half box score.
Pregame injury updates and the official starting lineups materially affect first-half expectations—loss of a primary scorer or a key defender changes projected pace and scoring distribution—so monitor official team reports and late scratches up to tip-off.
Head-to-head first-half history can highlight matchup tendencies, but small sample sizes, roster turnover, and coaching changes limit its predictive power; prioritize recent season-level first-half metrics and matchup-specific player availability.
Primary ball-handlers and leading scorers set the early pace and three-point volume, interior rebounders create second-chance points, and players prone to early fouls can shorten minutes for scorers—combine these role-based considerations with team tempo and shooting trends when assessing the market.