| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Buffalo wins by over 22.5 Points | 3% | 1¢ | 5¢ | — | $50 | Trade → |
| Buffalo wins by over 19.5 Points | 3% | 1¢ | 5¢ | — | $50 | Trade → |
| Buffalo wins by over 4.5 Points | 0% | 14¢ | 22¢ | — | $0 | Trade → |
| Toledo wins by over 5.5 Points | 0% | 57¢ | 59¢ | — | $0 | Trade → |
| Buffalo wins by over 7.5 Points | 0% | 7¢ | 15¢ | — | $0 | Trade → |
| Buffalo wins by over 16.5 Points | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Buffalo wins by over 13.5 Points | 0% | 3¢ | 7¢ | — | $0 | Trade → |
| Buffalo wins by over 10.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
| Buffalo wins by over 1.5 Points | 0% | 24¢ | 29¢ | — | $0 | Trade → |
| Toledo wins by over 2.5 Points | 0% | 64¢ | 69¢ | — | $0 | Trade → |
| Toledo wins by over 8.5 Points | 0% | 46¢ | 48¢ | — | $0 | Trade → |
This market asks which point-spread bucket will apply to the Buffalo at Toledo game; it matters because the spread summarizes collective expectations about the margin of victory and is used by traders, bettors, and fans to express views or hedge exposure.
Buffalo and Toledo are regular Mid-American Conference opponents, so meetings between them are shaped by conference implications, coaching familiarity, and historical matchups. Recent season form, injuries, and any roster or scheme changes carry more weight than distant past results when forecasting this specific game.
Odds in a spread market reflect aggregated sentiment about likely margins: outcomes with more market support imply the crowd expects the game to fall in those spread ranges. Pay attention to price movement as new information (injuries, weather, starting lineups) often moves the market as much as the current quoted odds.
The page currently lists the close time as TBD; typically these markets close shortly before game kickoff but you should check the market page for the official close time and any platform notices.
The 11 outcomes partition possible point differentials into discrete spread buckets, spanning scenarios where Buffalo wins by various margins through scenarios where Toledo wins by various margins; the market page defines the exact ranges for each outcome.
Head-to-head history can highlight coaching tendencies and matchup patterns, but it should be combined with current-season indicators—recent performance, injuries, and personnel changes are generally more predictive for the upcoming game.
Late injury reports and lineup news often move the market quickly; because this market has limited traded volume so far, liquidity may be thin and even small trades or a few news items can cause outsized price swings—monitor official reports and trusted beat reporters.
Settlement follows the platform’s rules: most spread markets settle to the official final score (often at the end of regulation) or are handled according to specified contingency rules; if the game is postponed or canceled, consult KALSHI’s market rules for voiding or resettlement procedures.