| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Manhattan | 0% | 5¢ | 94¢ | — | $0 | Trade → |
| Marist | 0% | 6¢ | 94¢ | — | $0 | Trade → |
This market asks which team will win the Marist at Manhattan game; it matters because it lets traders express views on a specific college basketball matchup and track how sentiment evolves before tip-off.
Marist and Manhattan are regional opponents that meet in regular-season college basketball play; matchups between them can influence conference positioning and have local interest given geographic proximity. College rosters change frequently from year to year through graduation and transfers, so recent form and current-season context usually matter more than long-ago results.
Market odds are a real-time summary of trader expectations and will move as new information (injuries, starting lineups, travel updates) arrives. Use changes in the market as signals about how the crowd is reacting to news, not as immutable forecasts.
Closure typically occurs at the official scheduled tip-off time or at a platform-specified time before the game; because this event's close is listed as TBD, check the event listing for the confirmed close time and expect trading to stop shortly before the game begins.
A $0 total indicates no trades have executed yet on this market; volume often starts low for newly listed events and increases as the game approaches or as new information motivates traders.
A two-outcome market for this matchup will offer each team to win (Marist vs. Manhattan); settlement generally follows the official game result as recorded by the governing body—confirm whether the platform counts overtime in its resolution rules on the event page.
Watch official injury reports, starting lineup releases, coach pregame comments, team travel or illness reports, and updates from beat reporters and reliable social channels for late-breaking information that can alter expected outcomes.
Head-to-head history provides context about how teams have matched up, but its predictive value is limited when rosters or coaching staffs have changed; weigh recent meetings and current-season indicators (form, personnel, matchup styles) more heavily.