| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Miami (OH) | 70% | 68¢ | 69¢ | — | $90K | Trade → |
| Ohio | 31% | 30¢ | 31¢ | — | $3K | Trade → |
This prediction market tracks the outcome of the college matchup 'Miami (OH) at Ohio' and aggregates trader expectations about which team will win. It matters because market prices summarize diverse information — injuries, starting lineups, weather, and betting flows — into an easily observable signal about how observers view the game's likely result.
Miami University (Miami (OH)) and Ohio University are in-state Mid-American Conference programs that meet regularly; their games are often competitive and influenced by conference standings, coaching continuity, and program momentum. Home-field, travel between campus sites, and recent season trends typically shape expectations heading into their meetings, while short-term news (injuries, depth chart changes) can swing perceptions quickly.
Market prices represent the crowd’s consensus expectation for which team will win and will move as new information arrives; they are best interpreted as a real-time aggregate view, not a fixed prediction. For final resolution details and tie/overtime handling consult the market rules on the platform hosting the event.
The market currently lists 'Closes: TBD'; typically closure is at the scheduled game start or when the platform (KALSHI) specifies, so check the event page for the official closing time and any updates.
This market has two outcomes corresponding to which team wins the game: a Miami (OH) win or an Ohio win. Resolution will follow the platform’s official rules regarding final score, overtime, and any tie-handling.
Yes — resolution is based on the official result from the game as recognized by the event host and the market operator; consult KALSHI’s rules for which authorities they use to determine the final outcome.
Monitor official injury reports, coach press conferences, and starter announcements in the 24–48 hours before kickoff; changes to a team’s starting QB, top rusher/receiver, or key defenders can materially shift expectations and thus market prices.
If the game is postponed or canceled, resolution procedures depend on KALSHI’s rules — common outcomes include delaying settlement until a rescheduled game is played or voiding the market and returning funds; check the platform’s event policies for specifics.