| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| LSU wins by over 39.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LSU wins by over 24.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LSU wins by over 27.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LSU wins by over 33.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LSU wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LSU wins by over 30.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LSU wins by over 36.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LSU wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LSU wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LSU wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LSU wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders buy and sell outcomes tied to the point spread for the college football game Texas Tech at LSU. It matters because market prices reflect collective expectations about the margin of victory and can move as new information arrives.
Texas Tech (Big 12) visiting LSU (SEC) pits contrasting styles—Texas Tech frequently leans on its passing attack while LSU typically emphasizes size and defensive physicality, especially at home in Tiger Stadium. Historical matchups, current-season form, coaching staffs, injuries, and travel all shape how oddsmakers and markets set and adjust the spread.
Market prices imply what traders expect about whether LSU will win by more than the posted spread or whether Texas Tech will keep the game within it; they summarize collective beliefs but are not guarantees of the final result.
The event page lists the closing time as TBD; typically spread markets close at kickoff or at a platform-specified time, so check the KALSHI market page for the official cutoff and any last-minute updates.
Resolution uses the official final score after the game (including overtime) to calculate the margin of victory; whether an outcome is a win or loss depends on how that margin compares to the listed spread or spread interval in the contract.
Significant injuries—especially to QBs, key defensive linemen, or primary playmakers—tend to move the market as traders reassess scoring expectations; monitor injury reports and official team announcements for the most impactful updates.
Relevant trends include each team’s recent offensive and defensive efficiency, how Texas Tech’s passing attack has matched up against LSU’s secondary, and home-field performance at Tiger Stadium; use those trends as context while remembering that season-to-season personnel changes matter.
Overtime scores are included in the official final score used for settlement, so the spread outcome is determined after any overtime periods; consult the contract terms for how ties or pushes are handled on the platform.