| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 155.5 points scored | 48% | 48¢ | 51¢ | — | $206 | Trade → |
| Over 143.5 points scored | 0% | 72¢ | 78¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 66¢ | 73¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 26¢ | 33¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 33¢ | 39¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 40¢ | 46¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 60¢ | 65¢ | — | $0 | Trade → |
| Over 167.5 points scored | 0% | 20¢ | 26¢ | — | $0 | Trade → |
| Over 170.5 points scored | 0% | 15¢ | 22¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 77¢ | 84¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 53¢ | 59¢ | — | $0 | Trade → |
This prediction market asks traders to forecast the total combined points scored in the Creighton at Butler basketball game across a set of 11 possible outcomes. It matters because market prices synthesize public information about team form, injuries, pace, and game conditions into a single, continuously updating signal.
Creighton and Butler are collegiate basketball programs whose matchups draw attention for contrasting styles; Creighton has recently been associated with higher offensive output while Butler is often noted for defensive preparation and tempo control. Game-specific factors — venue, recent results, roster availability, and coaching strategy — shape expected scoring on game day. The market currently shows modest trading activity (total volume $206) and remains open with a close time to be determined by the platform.
Prices in this market reflect the collective expectations of traders about the distribution of possible total point outcomes and will move as new information arrives (injuries, starting lineups, late scratches, or in-game developments). Compare relative prices across the 11 listed outcomes to see which score ranges the market currently favors, and check the platform for official resolution rules.
It refers to the combined points scored by Creighton and Butler in the game as specified by the market; check Kalshi’s event description and rulebook on the platform to confirm whether overtime points are included in the resolution.
A TBD close means the platform has not yet set a firm market close time; trading typically continues until the platform announces a close or until the market is suspended near game start—watch the event page for updates and any platform notices.
The 11 outcomes are the discrete totals or point-range buckets that traders can buy or sell; only one outcome will resolve as correct according to the market’s resolution criteria, so review the labels on the event page to understand each outcome’s meaning.
Home-court effects can influence shooting comfort and crowd-driven momentum while travel and short rest can increase fatigue-related turnovers or lower shooting efficiency, all of which tend to push totals lower or make scoring less consistent—use recent home/away splits and rest days as context.
Lower liquidity often leads to wider spreads and greater price sensitivity to individual trades or news; with many outcome buckets, thin order books can produce volatile moves, so consider order book depth and recent trade activity when interpreting prices.