| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Arizona wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Iowa St. wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Iowa St. wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Iowa St. wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Iowa St. wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Arizona wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the point-spread outcome for the Iowa St. at Arizona matchup; it matters because the spread reflects market expectations about the margin of victory and is used for hedging and speculation.
Iowa State visiting Arizona is a matchup where home advantage, matchup styles, and recent roster turnover can meaningfully affect the expected margin. Historical head-to-head results, each program's current form, and late-breaking roster or availability news all tend to drive market movement in the lead-up to the game.
Prediction market odds here represent the collective view of traders about which spread bucket will occur and update as new information arrives; interpret them as a real-time signal to complement, not replace, your own analysis.
The close time is currently listed as TBD; generally, spread markets close before the scheduled game start and the platform will update the exact cutoff — expect trading to stop at or shortly before kickoff per the platform's rules.
Resolution is based on the official final score for the game as reported by the governing body or the platform's designated source; the final margin is compared to the listed spread outcomes and the matching outcome is declared winning, with overtime typically included unless platform rules state otherwise.
Resolution in those scenarios follows the platform's contingency and cancellation policies; some platforms void and refund trades if a game isn't played within a specified window, so consult KALSHI's event resolution rules for the definitive answer.
The market breaks the possible margins into 11 discrete spread buckets, each representing a different range of final-margin outcomes; traders buy the bucket they believe will correspond to the actual final margin.
Late injury reports or player availability updates, announced starting lineups, travel or weather issues, and any sizable trades or shifts in market liquidity are the primary catalysts that typically move spread prices for this matchup.