| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 150.5 points scored | 0% | 4¢ | 55¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 18¢ | 68¢ | — | $0 | Trade → |
| Over 126.5 points scored | 0% | 3¢ | 98¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 2¢ | 97¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 49¢ | 52¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 40¢ | 91¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 33¢ | 83¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 10¢ | 61¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 47¢ | 97¢ | — | $0 | Trade → |
This market asks how many total points will be scored when Holy Cross visits Lafayette, with participants trading outcomes that reflect different total-point ranges. It matters because totals markets aggregate expectations about pace, scoring efficiency, and the availability of key players into tradable prices.
Holy Cross and Lafayette are conference rivals whose meetings can produce widely varying scorelines depending on coaching philosophy and roster health. Scoring trends for each program can shift from season to season, so current injuries, lineup changes, and recent offensive/defensive form are important context for this matchup.
Market prices here represent the collective expectation for the game’s combined score and will move as new information arrives—injury reports, announced starters, weather (if relevant), and late lineup changes. Treat prices as dynamic signals that reflect real-time information rather than static forecasts.
Closure is listed as TBD; typically such markets close at or shortly before the official game start time or earlier if the exchange sets a specific cutoff—check the platform for the exact closure rules.
The outcomes correspond to distinct total-point thresholds or brackets for the combined score of Holy Cross and Lafayette, allowing traders to express views across a range of possible totals.
A late injury to a primary scorer or a key defender can materially change expected scoring and possession dynamics; markets typically react quickly, so factor the player’s role and replacements into your view.
Home advantage can influence shooting comfort, crowd effects, and fatigue, which in turn affect scoring; account for venue-specific trends for both teams when assessing expected totals.
Head-to-head history provides context and can reveal stylistic patterns, but recent form, current rosters, and season trends are generally more predictive than older results.