| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Buffalo | 64% | 62¢ | 64¢ | — | $4K | Trade → |
| Eastern Michigan | 37% | 36¢ | 37¢ | — | $455 | Trade → |
This prediction market asks which team will win the Eastern Michigan at Buffalo game and aggregates trader expectations about that outcome. It matters because market prices provide a real-time summary of how new information—injuries, lineups, weather, coaching decisions—affects perceived likelihoods for each side.
Eastern Michigan and Buffalo are conference peers whose matchups hinge on contrasting styles, coaching matchups, and situational advantages like travel and home crowd. Historical head-to-head context, season-long form, and roster continuity all shape how the two programs approach this particular game.
Market prices represent the collective, constantly updating view of traders about which outcome will occur and will move in response to material news; use prices as a dynamic signal that reflects current information rather than a fixed prediction.
The market close is listed as TBD; check the KALSHI market page for the official close time. Closure often occurs before kickoff or at a time set by the market creator, and may be updated as the event date approaches.
This market has two outcomes corresponding to which team wins: Eastern Michigan wins or Buffalo wins. Settlement follows the official game result and any contest-specific rules published on the market page.
Watch the starting quarterback(s), primary running backs or leading scorers, key defensive playmakers, and special teams contributors; coaching decisions and starting-lineup announcements released on game day are also high-impact.
Late roster news typically moves the market quickly because it changes the matchup’s balance; monitor official team reports, injury reports, and credible local beat reporters for immediate updates that traders react to.
Total volume traded is the dollar amount exchanged so far and signals market liquidity and interest: higher volume generally means prices reflect broader participation and information, while lower volume can make prices more sensitive to individual trades.