| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Miami (OH) wins by over 8.5 Points | 50% | 48¢ | 49¢ | — | $10K | Trade → |
| Miami (OH) wins by over 5.5 Points | 62% | 61¢ | 62¢ | — | $2K | Trade → |
| Miami (OH) wins by over 2.5 Points | 73% | 73¢ | 76¢ | — | $376 | Trade → |
| Miami (OH) wins by over 11.5 Points | 41% | 37¢ | 40¢ | — | $152 | Trade → |
| Miami (OH) wins by over 14.5 Points | 31% | 24¢ | 30¢ | — | $40 | Trade → |
| Toledo wins by over 1.5 Points | 15% | 15¢ | 20¢ | — | $12 | Trade → |
| Miami (OH) wins by over 20.5 Points | 0% | 10¢ | 16¢ | — | $0 | Trade → |
| Toledo wins by over 4.5 Points | 0% | 9¢ | 15¢ | — | $0 | Trade → |
| Miami (OH) wins by over 23.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
| Toledo wins by over 7.5 Points | 0% | 4¢ | 9¢ | — | $0 | Trade → |
| Miami (OH) wins by over 17.5 Points | 0% | 15¢ | 22¢ | — | $0 | Trade → |
This market asks which spread outcome will occur for the college football game between Toledo and Miami (OH); it matters because the spread captures expectations about the margin of victory and is used by traders to express views on game competitiveness.
Toledo and Miami (OH) are Mid-American Conference programs, and their matchups typically hinge on comparative strengths in offense, defense, and special teams. Conference context, recent coaching changes, and season-to-date performance shape pregame expectations and betting interest.
Market prices aggregate the views of participants about which spread outcome is most likely; movements in price reflect new information (injuries, weather, lineup changes, or large trades) that alters collective expectations.
The market close is listed as TBD; platforms commonly set a final close at or shortly before kickoff, but you should check the KALSHI platform for the definitive close time for this specific market.
Each outcome corresponds to a particular spread bucket or margin-of-victory range tied to which side covers; the single winning outcome will be the one that matches the actual final margin relative to the spread defined by the market.
Injury and lineup news can materially change expectations, especially for impact positions; monitor official team reports and trusted beat reporters, as traders typically adjust prices quickly when material availability updates appear.
Head-to-head and ATS history provide context but can be noisy — prioritize recent performance, roster continuity, matchup specifics, and situational stats (red-zone efficiency, turnover rate) over distant results.
Late-breaking items such as confirmed injuries, weather advisories, travel disruptions, sudden coaching announcements, and large order flow or liquidity imbalances can cause significant price movement for this matchup.