| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express expectations for the combined total points scored in the Miami (OH) at Tennessee game. It matters because total-points markets aggregate public and informed views about scoring, reacting to injuries, weather, and game-plan news.
This is an interconference college football matchup between Miami University (Ohio), a Mid-American Conference program, and the University of Tennessee, a Southeastern Conference program. Matchups between Group-of-Five and Power-Five teams often bring contrasting styles, roster depth, and tempo that influence scoring expectations. Historical head-to-head samples may be limited, so season-long offensive and defensive context for each team is commonly used to assess likely game scoring.
Market odds reflect the collective expectation for total points and shift as new information arrives (injuries, starter status, weather, late lineup changes). Interpret prices as real-time indicators of how traders update those expectations rather than fixed predictions.
Each outcome corresponds to a specific range or threshold for the combined final score of both teams (for example discrete buckets or over/under-style thresholds). Traders buy or sell those outcomes to express beliefs about how high or low the final scoring will be.
The official close time is listed on the platform and may be set to a defined time before kickoff or at the game's start; if the close is listed as TBD, monitor the market page for updates because platforms sometimes finalize close times as game details are confirmed.
Late-breaking items such as starting quarterback availability, injury reports to key skill-position players, severe weather forecasts, or announced strategic changes (e.g., backup QB using different game plan) typically produce the largest market moves.
Home-field can influence the total via crowd-driven momentum, familiarity with the venue, and travel fatigue for the visitor; whether that increases or decreases expected scoring depends on team matchups, crowd noise impact on offense, and any travel-related disruption to Miami (OH).
Use recent offensive and defensive performance as trend indicators—look at pace, points per possession, red-zone conversion rates, and defensive turnover rates—while adjusting for opponent quality and any roster or scheme changes that differentiate past games from this matchup.