| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| LSU | 62% | 63¢ | 70¢ | — | $650 | Trade → |
| Creighton | 32% | 36¢ | 43¢ | — | $142 | Trade → |
This market asks which team will win the Creighton vs LSU matchup and is useful for traders who want to express expectations about the game's outcome. It matters because game-specific news and public information can move prices and create trading opportunities.
Creighton and LSU are NCAA Division I programs with different historical profiles and playing styles; matchups between them are shaped by roster composition, coaching, and recent form. Year-to-year roster turnover in college sports means context should focus on current-season indicators—injury reports, recent results, and lineups—rather than distant history.
Market prices summarize the crowd’s current expectations and will move as new information (injuries, lineup announcements, venue changes) becomes available. Treat prices as a real-time signal of sentiment and update your view when substantive news breaks.
The market offers two mutually exclusive outcomes: a Creighton victory or an LSU victory. Settlement will follow the official game result as determined by the event organizer and the platform’s settlement rules.
The market close time is listed as TBD on the event page; the platform will update the market's close and any scheduling changes. Monitor the event page and official team/league outlets for timing and lineup news.
Settlement procedures depend on the platform’s rules: a postponed game may be settled after rescheduling, voided if not played within the platform’s cutoff, or decided per official directives. Check KALSHI’s market rules for the specific settlement policy.
Late injury reports or scratches to key rotation players, announced starting lineups, coaching changes, or unexpected travel/availability issues are the fastest-moving news for the market.
Head-to-head history provides context but is often less predictive than current-season data in college sports due to roster turnover; prioritize current injuries, recent performance trends, and matchup analytics over distant historical results.