| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 145.5 points scored | 61% | 57¢ | 61¢ | — | $1K | Trade → |
| Over 148.5 points scored | 54% | 52¢ | 54¢ | — | $558 | Trade → |
| Over 151.5 points scored | 44% | 44¢ | 46¢ | — | $165 | Trade → |
| Over 157.5 points scored | 28% | 28¢ | 33¢ | — | $10 | Trade → |
| Over 136.5 points scored | 79% | 76¢ | 80¢ | — | $1 | Trade → |
| Over 133.5 points scored | 79% | 80¢ | 85¢ | — | $1 | Trade → |
| Over 142.5 points scored | 69% | 64¢ | 68¢ | — | $1 | Trade → |
| Over 139.5 points scored | 74% | 70¢ | 74¢ | — | $1 | Trade → |
| Over 163.5 points scored | 0% | 17¢ | 23¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 35¢ | 40¢ | — | $0 | Trade → |
| Over 160.5 points scored | 0% | 23¢ | 27¢ | — | $0 | Trade → |
This market lets traders express views on the combined final score (total points) of the college basketball game Long Beach State at Hawai'i. It matters because total-points markets capture expectations about pace, shooting, and game flow rather than which team wins.
Both teams are conference opponents with differing offensive and defensive profiles that can produce either high- or low-scoring affairs depending on matchups and game plan. Historical meetings, roster composition, and coaching tendencies shape how this specific pairing typically plays out during the season.
Odds in this market reflect the collective assessment of which total-point range is most likely to occur; they move as new information (injuries, lineups, or late scratches) and trader sentiment arrive. Treat prices as real-time indicators of market consensus about final combined scoring, not fixed predictions.
Markets typically close shortly before game tip-off to prevent trading on in-game events; a TBD close means the platform will set a final cutoff closer to the scheduled game time, and traders should watch announcements for the exact deadline.
Each outcome represents a distinct total-point range or exact bucket that will be resolved according to the combined final score; review the market's outcome labels to know which bucket corresponds to which final-score interval before trading.
Key stats include each team’s recent possessions-per-game (pace), effective field goal percentage, turnover rate, and free-throw attempts — these determine how many scoring opportunities and how efficiently those opportunities are converted.
Late availability news can materially shift expectations because losing a primary scorer or defender changes both scoring volume and tempo; markets often react quickly to credible reports, so confirm official team announcements before assuming a position.
Home-court factors like crowd influence, travel fatigue for the visitor, and time-zone adjustments can affect shooting and energy, which may suppress or elevate scoring; the specific impact depends on how each team handles travel and venue conditions.