| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Manhattan | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Columbia | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which team will win the listed head-to-head matchup between Manhattan and Columbia on the KALSHI platform. It matters to bettors and fans because the market aggregates real-time information about each team’s chances and reflects changing expectations as new information arrives.
Manhattan College (often competing in the MAAC) and Columbia University (an Ivy League program) are New York City-area schools that can meet in nonconference play or multi-team events; their meetings are shaped by differences in conference schedules, roster turnover, and program resources. Outcomes in any given year depend heavily on current rosters, injuries, coaching matchups, and whether the game is part of a larger tournament or simply a standalone contest.
Market prices represent the crowd’s assessment of which team is more likely to win given available information and will move as news (injuries, lineups, venue) arrives. Use prices as a snapshot of collective expectations, not a guarantee of the result.
This market offers two mutually exclusive outcomes corresponding to which team wins the listed matchup: Manhattan wins or Columbia wins. The market will settle to the officially recorded winner of the game under the sport’s governing rules (including overtime).
The market’s official close time is listed as TBD; KALSHI will announce a final close or it will close shortly before the scheduled start of play. Check the market page and KALSHI announcements for the definitive close and settlement timing.
Resolution follows KALSHI’s event contingency rules: if a game is postponed, the market may remain open until the new start time or be paused; if the contest is canceled without a completed result, the platform typically voids or refunds the market. Consult KALSHI’s rules for the specific handling policy.
Watch official injury reports and starting lineup announcements, recent box scores, coach press conferences, travel and rest indicators, and any late roster changes; these factors tend to drive market moves as game time approaches.
Head-to-head history provides context but can be of limited predictive value because rosters, coaching staffs, and program strengths change over time; prioritize current-season form, player availability, and matchup dynamics when assessing this single game.