| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Louisville wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Louisville wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Louisville wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Louisville wins by over 23.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alabama wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Louisville wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Louisville wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alabama wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alabama wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Louisville wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Louisville wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express views on the point-spread outcome for the college football game Alabama at Louisville. Spread markets matter because they summarize market expectations about the likely margin of victory and provide a way to trade on game competitiveness.
Alabama and Louisville come from different competitive contexts — Alabama is historically a national contender while Louisville is typically an underdog at home — so matchups, coaching philosophies, and roster differences shape expectations. Home-field advantage, travel, and recent team form commonly influence how a spread is set and how participants trade it.
Market prices in a spread market reflect collective expectations about which side of each offered spread will be covered; higher-priced outcomes indicate stronger market demand for that margin. Track prices and liquidity over time to see how new information (injuries, weather, lineup changes) shifts market consensus.
They typically correspond to a set of discrete point-spread outcomes or margin buckets offered by the market (different possible margins by which one team covers or fails to cover the spread); consult the market description for the exact mapping of each outcome to a spread range.
Close time is listed as TBD on the event page; the platform will announce a specific closing time prior to the game, and it may close before kickoff to allow for settlement and to limit exposure to last-second information.
Settlement generally follows the official final game result from the sanctioning body, with overtime included in the final margin; for postponements or cancellations, the platform’s stated settlement rules determine whether the market is voided, rescheduled, or otherwise resolved—check KALSHI’s event rules for details.
Watch official injury reports, starting lineups, late roster moves, weather updates for the venue, kickoff time confirmations, and major odds moves at sportsbooks—any of these can materially shift expectations for the spread.
Trades are generally final once executed; while a late injury can change the underlying game dynamics and thus the ultimate settlement, platform rules typically do not allow retroactive reversal of completed trades—review KALSHI’s trading and settlement policies for specifics.