| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Montana | 6% | 4¢ | 5¢ | — | $5K | Trade → |
| Montana St. | 97% | 95¢ | 97¢ | — | $909 | Trade → |
This market asks which team will win the Montana at Montana St. college football game; it matters because this is one of the state’s premier rivalry matchups and outcomes affect conference standings, playoff positioning, and local bragging rights.
Montana and Montana State meet annually in a long-running rivalry often referred to as the state’s marquee college football game; it frequently occurs late in the season and can carry significant implications for conference titles and FCS playoff berths. Both programs have strong traditions, passionate fanbases, and the location (Missoula or Bozeman) typically affects atmosphere and travel dynamics for the visiting team.
Market prices reflect the collective expectations of traders and will move as new information becomes available (injuries, starting lineups, weather, etc.). Treat prices as real-time indicators of market sentiment rather than guarantees of the final result.
Each outcome corresponds to one team winning the game outright; college football games use overtime to produce a winner, so the market resolves to the official final winner as recorded by the game authorities.
Closing time is listed as TBD for this specific market; typically, such markets close before the game begins and can remain tradable up until the market’s stated close, so check the market page for the definitive closing time.
Settlement follows the market’s official rules: if the game is played later, the market may wait for the official result; if the game is cancelled without a result, many markets void or refund but you should consult the market’s stated resolution policy for this event.
Late-breaking news such as a starting quarterback or other key starter being ruled out, major injuries, announced weather impacts, or official roster changes typically produce the largest and fastest market moves.
Rivalry history can indicate psychological and situational patterns (home/away splits, late-season intensity), but roster turnover, coaching changes, and current-season form usually matter more; use history as context, not as a determinative predictor.