| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| St. John's | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mercer | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market lets traders take positions on which team will win the scheduled St. John's vs Mercer game. It matters because market prices synthesize available information about rosters, injuries, and other game-day factors into a single, tradable signal.
St. John's is a Big East program and Mercer is a mid-major program; they do not play each other regularly, so matchups can hinge on current-season form and roster availability rather than a long head-to-head history. Games between teams from different conference levels often highlight differences in depth, travel logistics, and matchup styles.
Market prices reflect the aggregate expectations of traders and update as new information (injuries, lineups, tipoff time) becomes available. Treat prices as a live signal, not a guarantee — small new facts can move the market quickly, especially in thinly traded markets.
The listed close time is TBD; check the KALSHI event page for the official close time, which is typically shortly before the scheduled tipoff or as specified by the platform.
Settlement is based on the official final result as recorded by the game’s governing authority, and that normally includes overtime; consult KALSHI's resolution rules for any edge cases.
Monitor official injury reports, confirmed starting lineups, any travel or weather disruptions affecting arrival, tipoff time confirmations, and credible local reports of late scratches or coaches’ announcements.
Low volume implies low liquidity: prices can swing sharply on small trades and may not reflect broad consensus, so expect wider spreads, higher volatility, and less reliability as a signal compared with high-volume markets.
Head-to-head history can offer context but is often a small sample; prioritize current-season metrics, matchup-specific stats, and roster availability over distant past meetings when forming expectations.