| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Siena | 60% | 59¢ | 60¢ | — | $6K | Trade → |
| Mount St. Mary's | 40% | 40¢ | 41¢ | — | $314 | Trade → |
This market lets traders take positions on which team will win the Mount St. Mary's at Siena college basketball game. It matters because it aggregates real-time expectations about the game outcome and responds to news, injuries, and in-play developments.
Mount St. Mary's and Siena are Division I mid-major programs from different conferences; Siena typically plays at home in Albany while Mount St. Mary's travels from its campus, making venue and travel relevant. Matchups between these teams hinge on tempo, outside shooting, and interior play, and the result can affect season momentum, non-conference résumés, and matchup perceptions.
Market odds reflect the aggregate beliefs of traders about which team will win and adjust as new information appears; they are not guarantees but a continuously updated signal. Watch how prices move in response to lineup announcements, injuries, and tip-off to understand shifting expectations.
The close time is listed on the market page and is currently TBD; the platform typically closes trading at a specified time relative to the scheduled tip-off or when the event begins, so check the KALSHI event page for the official close.
This market offers two mutually exclusive outcomes corresponding to which team wins the game (Mount St. Mary's or Siena); resolution follows the official game result as defined by the market rules.
Total volume shows how much trading activity has occurred and provides a rough sense of liquidity and market interest; lower volume can mean wider price swings from new information, while higher volume generally indicates deeper consensus.
Key stats include recent offensive and defensive efficiency, three-point and free-throw rates, turnover percentage, rebounding margin, pace, and up-to-date availability/injury reports; contextualize those with recent opponent quality and home/away splits.
Late injury or lineup news can cause rapid price movement because such changes materially alter expected on-court matchups and minutes; monitor official team announcements, verified beat reporters, and pregame warm-up reports for the most reliable signals.