| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 143.5 points scored | 49% | 48¢ | 49¢ | — | $32 | Trade → |
| Over 128.5 points scored | 0% | 3¢ | 97¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 2¢ | 97¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 2¢ | 97¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 2¢ | 97¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 2¢ | 97¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 55¢ | 57¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Iowa St. at Texas Tech game; it matters because aggregated market prices reflect collective expectations about game pace, scoring efficiency, and key status updates. Traders use it to express views on whether the game will be higher- or lower-scoring than listed ranges.
Iowa State and Texas Tech are conference opponents whose historical games can vary widely in scoring depending on coaching gameplans and quarterback play. Texas Tech has frequently been associated with high-tempo passing attacks while Iowa State outcomes often hinge on defensive performance and run-game balance; both teams’ season dynamics and matchup-specific trends drive interest in total-points markets. Market depth and available outcomes (11 in this market) affect how granularly participants can express expectations.
Market prices indicate how traders collectively weight each total-points range; a relatively expensive outcome signals stronger market support for that range while cheaper outcomes indicate less support. Because this market uses discrete outcome buckets, selecting a single outcome is a bet on the combined official game total falling into that bucket at final score.
The event listing shows the close as TBD; platform rules typically set a final cutoff before kickoff or at a announced time — check the market page or KALSHI market rules for the exact closing timestamp and any last-minute updates.
Each outcome corresponds to a specific total-points range displayed on the market page; after the game is complete the outcome whose range contains the official combined score is settled as the winner according to the market’s published settlement rules.
Settlement is based on the designated official game statistics provider cited in the market rules (typically the official box score from the governing body or a recognized statistics vendor); consult the market terms to confirm the exact source used for this event.
Resolution depends on the platform’s contingency rules: some markets are voided if the game is not played to completion within a defined window, while others may use the official score at the time of suspension if the rules allow — check KALSHI's event-contingency clauses for specifics.
Primary influences are the starting quarterbacks and key skill-position players who determine passing and red-zone efficiency, each team’s offensive line and rushing attack that affect clock management, and defensive units that generate stops or turnovers — any late injury or lineup change to those roles can materially shift expected totals.