| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Harvard | 34% | 34¢ | 67¢ | — | $24 | Trade → |
| Columbia | 65% | 32¢ | 65¢ | — | $4 | Trade → |
This market asks which team will win when Harvard visits Columbia; it matters because market prices aggregate real-time expectations about the matchup and react to news that can shift likely game-day outcomes.
Harvard and Columbia are Ivy League programs that meet in regularly scheduled league play (the exact sport and date appear on the event page). Ivy League contests can hinge on coaching matchups, academic schedules and roster availability; historical head-to-head trends and recent season form provide useful context but do not determine any single game's result.
Market prices represent the collective judgments of traders and update as new information (injuries, starting lineups, weather, travel) becomes available; interpret them as a dynamic consensus signal rather than a definitive prediction.
The market's two outcomes correspond to which team wins the matchup (typically labeled for Harvard and Columbia on the event page); consult the market listing for the precise outcome names and settlement definitions.
The listed close time is TBD; typically such markets lock at the official game start or at a platform-defined lock time—watch the KALSHI event page for the confirmed lock/close timestamp and any updates.
Settlement follows the official final result as recognized by the sport’s governing authority and KALSHI’s market rules; unless the market explicitly states otherwise, the final outcome including overtime/extra periods determines the winner.
The market will follow KALSHI’s contingency and cancellation policy: outcomes can include delayed settlement pending a rescheduled contest, voiding of the market, or other platform-defined procedures—check official announcements for the event.
Key items include official starting lineups (quarterback/primary scorers), injury and suspension reports, recent offensive/defensive statistics, special teams status, and any travel or weather developments; these typically drive the largest short-term price moves.