| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Marist wins the 1H by over 6.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Merrimack wins the 1H by over 15.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Merrimack wins the 1H by over 12.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marist wins the 1H by over 12.5 points | 0% | 0¢ | 53¢ | — | $0 | Trade → |
| Marist wins the 1H by over 9.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Merrimack wins the 1H by over 9.5 points | 0% | 8¢ | 27¢ | — | $0 | Trade → |
| Marist wins the 1H by over 3.5 points | 0% | 13¢ | 33¢ | — | $0 | Trade → |
| Merrimack wins the 1H by over 6.5 points | 0% | 16¢ | 39¢ | — | $0 | Trade → |
| Merrimack wins the 1H by over 3.5 points | 0% | 32¢ | 53¢ | — | $0 | Trade → |
| Merrimack wins the 1H by over 18.5 points | 0% | 0¢ | 53¢ | — | $0 | Trade → |
This market prices the first-half point-spread outcome for the college basketball game between Marist and Merrimack; it matters because the first half isolates early-game performance and strategic matchups that can differ from full-game expectations.
Marist and Merrimack are mid-major Division I programs with different rosters, styles, and coaching approaches; matchups between them can hinge on tempo, interior play, and guard scoring. First-half markets focus on the opening 20 minutes, so preseason form, recent first-half performance, and short-term roster news often drive expectations more than full-game trends.
Market prices reflect collective expectations about which side will cover the first-half spread; price movement signals how traders update those expectations as new information arrives (injuries, lineups, tip-off status, or late odds shifts).
The official close time is listed on the trading platform; many first-half spread markets lock at tip-off or when the league posts official starting lineups, so check the platform for the current 'Closes' timestamp (this market is currently listed as TBD).
Each outcome typically maps to a specific spread interval or discrete point-differential bucket for the first 20 minutes (for example, a range where Marist covers by X points or Merrimack covers by Y points); consult the market description on the platform to see the exact mapping of outcomes to point ranges.
Late scratches or confirmed starting lineup changes can move expectations sharply: the absence of a primary ball-handler or leading scorer usually has outsized impact on a half, so markets often adjust quickly once credible reports surface.
Head-to-head history can provide context—particularly recent first-half margins—but its predictive value is best when recent games feature similar rosters, coaching, and game locations; prioritize recent first-half trends and current roster availability.
Key drivers are shooting efficiency (especially from three and at the rim), early turnover differential, rebound control on missed shots, foul trouble to primary scorers, and bench contribution; a sudden scoring run or early foul-induced lineup change can decide the half.