| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 65.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 59.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 74.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 80.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 83.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 62.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 77.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 68.5 1H points scored | 0% | 54¢ | 60¢ | — | $0 | Trade → |
| Over 71.5 1H points scored | 0% | 42¢ | 48¢ | — | $0 | Trade → |
This market asks which point-range the combined first-half score of Monmouth vs Northeastern will fall into; it matters for traders and fans who want to express expectations about the game's early tempo and scoring. First-half totals isolate the opening 20 minutes, highlighting starting lineups and initial strategies.
Monmouth and Northeastern are collegiate programs with distinct styles that shape early-game scoring: pace of play, shooting profile, and defensive schemes often determine whether a first half is high- or low-scoring. Recent form, injuries, venue (home/away), and how each coach uses starters and rotations are key contextual elements that persist across matchups between these teams.
Market prices indicate the consensus view of which first-half total range is expected to occur and will move as new information arrives; in a multi-outcome market, each listed outcome corresponds to a mutually exclusive point-range for the halftime total. Traders should read prices as market sentiment, not fixed predictions — they update with news, injury reports, and betting flow.
Settlement is based on the official halftime score recorded by the game’s authoritative scorer; the combined points of both teams at the official halftime whistle determine which outcome wins.
This market is divided into multiple distinct outcomes that each represent a specific range of possible first-half combined points; only the outcome whose range contains the official halftime total will settle as the winner.
A late absence of a primary scorer or primary ball-handler can materially change first-half scoring expectations because it affects offensive roles and matchup dynamics; traders typically adjust exposure when lineups change, so prices often move to reflect that information.
In-game events that occur before halftime will influence the actual halftime score and therefore could change which outcome wins; whether trading continues live depends on the platform’s trading cutoff rules, but settlement always follows the official halftime numbers.
Focus on first-half or opponent-adjusted metrics: team pace, first-half points per possession, opponent first-half defense, three-point attempt rates early in games, and recent first-half scoring trends — these give a more direct read on likely halftime totals than season aggregates alone.