| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 135.5 points scored | 49% | 49¢ | 52¢ | — | $1K | Trade → |
| Over 141.5 points scored | 33% | 33¢ | 36¢ | — | $36 | Trade → |
| Over 129.5 points scored | 67% | 64¢ | 67¢ | — | $30 | Trade → |
| Over 126.5 points scored | 0% | 70¢ | 75¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 26¢ | 30¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 57¢ | 59¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 42¢ | 45¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 15¢ | 22¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 19¢ | 26¢ | — | $0 | Trade → |
| Over 120.5 points scored | 0% | 79¢ | 85¢ | — | $0 | Trade → |
| Over 123.5 points scored | 0% | 74¢ | 81¢ | — | $0 | Trade → |
This market asks how many combined points will be scored in the college basketball game Villanova at DePaul; it matters because total-points markets let traders express views on pace, defense, and scoring volatility without picking a winner.
Villanova and DePaul have distinct styles historically—Villanova often emphasizes efficient offense and halfcourt sets, while DePaul’s identity has varied with coaching changes; meetings between Big East opponents can be influenced by travel, venue, and matchup history. Because this listing is for an away Villanova game at DePaul, arena factors (home crowd, court familiarity) and recent roster availability typically shape scoring dynamics more than long-term trends alone.
Market prices reflect the collective expectation for which total-points bracket the game will fall into; movements track new information such as injury reports, starting lineups, or late-breaking coaching decisions that change projected pace or scoring.
Closing time is set by the market operator and typically occurs at or just before the official game tipoff; check the market page for the exact listed close since it is marked TBD here.
Each outcome corresponds to a defined range or threshold for the combined final score of both teams; an outcome resolves as true if the official game combined points fall within that outcome’s specified range according to the official box score (including overtime if the market rules specify).
Key starters known for high usage or playmaking (primary scorers, ball-handlers, or shot-creation wings) and any late availability updates for those players will have the largest impact, as will news about frontline defenders or shot-blockers who alter opponent efficiency.
Head-to-head history can provide context on matchup tendencies, but prioritize recent season-level metrics (current offensive/defensive efficiency, recent pace) and current rosters; historical meetings are useful only insofar as personnel and coaching styles have been consistent.
Whether overtime counts depends on the market’s explicit rules; most total-points markets use the official final score including overtime, but confirm the market resolution rules on the event page before trading.