| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Iowa St. wins by over 4.5 Points | 52% | 52¢ | 55¢ | — | $219 | Trade → |
| Iowa St. wins by over 7.5 Points | 45% | 41¢ | 44¢ | — | $10 | Trade → |
| Texas Tech wins by over 8.5 Points | 0% | 3¢ | 96¢ | — | $0 | Trade → |
| Iowa St. wins by over 16.5 Points | 0% | 3¢ | 97¢ | — | $0 | Trade → |
| Texas Tech wins by over 5.5 Points | 0% | 3¢ | 97¢ | — | $0 | Trade → |
| Iowa St. wins by over 1.5 Points | 0% | 4¢ | 97¢ | — | $0 | Trade → |
| Texas Tech wins by over 11.5 Points | 0% | 3¢ | 96¢ | — | $0 | Trade → |
| Iowa St. wins by over 19.5 Points | 0% | 3¢ | 96¢ | — | $0 | Trade → |
| Texas Tech wins by over 2.5 Points | 0% | 3¢ | 96¢ | — | $0 | Trade → |
| Iowa St. wins by over 13.5 Points | 0% | 3¢ | 97¢ | — | $0 | Trade → |
| Iowa St. wins by over 10.5 Points | 0% | 3¢ | 97¢ | — | $0 | Trade → |
This market lets traders take positions on the point-spread outcome for the Iowa State at Texas Tech college football game. It matters because the spread market aggregates real-time expectations about the expected margin and reacts quickly to news that changes those expectations.
This is a Big 12 matchup that typically features contrasting styles and the usual college-football variables: home-field in Lubbock, travel for the visiting team, roster availability, and recent form. Historical head-to-head results, coaching tendencies, and seasonal trends can influence the spread, but late-week developments such as injuries or weather often drive the largest moves.
Market prices for each spread outcome represent collective trader sentiment about which margin will occur and can be used as a live signal of perceived likelihoods. Interpret prices alongside external information and keep in mind that prices move as new information and orders arrive.
The event page currently lists the close time as TBD. KALSHI will post a specific close time on the market listing; platforms typically close trading before the official kickoff, so check the market page or notifications for the exact cutoff.
The 11 outcomes correspond to the discrete spread bands or point-differential outcomes defined by the market creator on KALSHI. Review the market description to see the exact spread interval or margin tied to each outcome for settlement details.
Late injury or lineup news often triggers rapid repricing, especially in a thin market. Traders update their expectations for scoring and matchups, which can move the prices for multiple spread outcomes in a short window.
Settlement follows KALSHI’s published rules: the winning outcome is determined by the official final score as recorded by the game’s governing body and the market’s outcome definitions. Check the platform’s settlement policy for specifics on overtime, ties, and any rounding rules.
Low total volume means individual trades can have outsized impact on prices, so moves are more likely to reflect liquidity quirks or single traders rather than broad consensus. Treat signals from this market as higher-noise and corroborate with external information like sportsbook line movement, injury reports, and weather forecasts.