| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Miami (OH) wins by over 7.5 Points | 50% | 50¢ | 51¢ | — | $1K | Trade → |
| Miami (OH) wins by over 2.5 Points | 73% | 66¢ | 73¢ | — | $299 | Trade → |
| Miami (OH) wins by over 8.5 Points | 44% | 45¢ | 47¢ | — | $273 | Trade → |
| Miami (OH) wins by over 10.5 Points | 36% | 38¢ | 40¢ | — | $152 | Trade → |
| Miami (OH) wins by over 4.5 Points | 64% | 59¢ | 65¢ | — | $127 | Trade → |
| Miami (OH) wins by over 5.5 Points | 58% | 56¢ | 58¢ | — | $100 | Trade → |
| UMass wins by over 4.5 Points | 11% | 12¢ | 20¢ | — | $15 | Trade → |
| Miami (OH) wins by over 14.5 Points | 22% | 22¢ | 29¢ | — | $4 | Trade → |
| Miami (OH) wins by over 11.5 Points | 32% | 32¢ | 38¢ | — | $4 | Trade → |
| Miami (OH) wins by over 1.5 Points | 76% | 69¢ | 76¢ | — | $1 | Trade → |
| Miami (OH) wins by over 19.5 Points | 0% | 10¢ | 16¢ | — | $0 | Trade → |
| Miami (OH) wins by over 20.5 Points | 0% | 8¢ | 15¢ | — | $0 | Trade → |
| UMass wins by over 1.5 Points | 0% | 20¢ | 26¢ | — | $0 | Trade → |
| UMass wins by over 7.5 Points | 0% | 6¢ | 11¢ | — | $0 | Trade → |
| Miami (OH) wins by over 13.5 Points | 0% | 25¢ | 30¢ | — | $0 | Trade → |
| Miami (OH) wins by over 22.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
| UMass wins by over 5.5 Points | 0% | 10¢ | 17¢ | — | $0 | Trade → |
| Miami (OH) wins by over 23.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
| UMass wins by over 2.5 Points | 0% | 17¢ | 25¢ | — | $0 | Trade → |
| UMass wins by over 8.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
| Miami (OH) wins by over 16.5 Points | 0% | 16¢ | 24¢ | — | $0 | Trade → |
| Miami (OH) wins by over 17.5 Points | 0% | 14¢ | 21¢ | — | $0 | Trade → |
This market lets traders take positions on the point spread for the UMass at Miami (OH) football game, offering a way to express expectations about the margin of victory. It matters because the spread aggregates public information about team strength, injuries, and situational factors into a tradable outcome.
UMass competes as an FBS program without a conference affiliation while Miami (OH) is a Mid-American Conference (MAC) program; those institutional differences can affect scheduling, travel patterns, and styles of opponent. Markets for a non-conference or cross‑conference matchup like this typically incorporate recent form, matchup-specific strengths (tempo, run/pass balance), and readily available team news such as injury reports and depth-chart changes.
Prices in a spread market reflect the market consensus about which side and margin are more likely, and they update as new information arrives (injuries, weather, lineup changes). Interpret shifts in price as the market reacting to news or new information about the game rather than a static prediction.
Closure timing is determined by the platform and typically aligns with the scheduled kickoff or shortly before; because this market currently lists the close as TBD, check the platform’s official schedule or the market page for the finalized cutoff time prior to the game.
Spread markets generally list multiple discrete spread outcomes (e.g., outcomes tied to margin bands or specific point differentials) that pay based on the final margin relative to each outcome; consult the market’s outcome list and settlement rules on the platform to see the exact point bands available for this event.
Treat late injury news as high‑impact information—adjust positions or use limit orders to control execution if clarity is pending; monitor official team reports and reputable beat reporters, since late lineup announcements can materially move expectations for margin outcomes.
Home‑field is a common factor sportsbooks and markets account for—crowd noise, travel fatigue for the road team, and familiarity with the venue can all compress or widen expected margins—so consider travel distance, rest days, and local conditions when assessing the market.
Key matchups to monitor include each team’s starting quarterback vs. opposing pass rush, offensive line performance vs. the opponent’s front seven, run-game effectiveness and how it controls tempo, plus the kicking and return game for late‑game margin swings; these elements tend to drive final point differentials in spread outcomes.