| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Butler wins by over 3.5 Points | 47% | 43¢ | 47¢ | — | $223 | Trade → |
| Butler wins by over 9.5 Points | 22% | 22¢ | 28¢ | — | $1 | Trade → |
| Creighton wins by over 6.5 Points | 0% | 17¢ | 23¢ | — | $0 | Trade → |
| Creighton wins by over 3.5 Points | 0% | 28¢ | 34¢ | — | $0 | Trade → |
| Butler wins by over 6.5 Points | 0% | 31¢ | 37¢ | — | $0 | Trade → |
| Butler wins by over 18.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
| Creighton wins by over 9.5 Points | 0% | 11¢ | 17¢ | — | $0 | Trade → |
| Butler wins by over 12.5 Points | 0% | 14¢ | 21¢ | — | $0 | Trade → |
| Butler wins by over 15.5 Points | 0% | 8¢ | 15¢ | — | $0 | Trade → |
| Creighton wins by over 1.5 Points | 0% | 35¢ | 41¢ | — | $0 | Trade → |
| Creighton wins by over 12.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
This market lets traders take positions on the point-spread outcome for the Creighton at Butler basketball game, allowing users to express expectations about the margin of victory. It matters because spread markets aggregate information about team strength, injuries, and matchup dynamics into tradable outcomes that move as new information arrives.
Creighton and Butler are programs with recent histories in the same conference and a pattern of competitive games; roster turnover, coaching changes, and scheduling differences can make individual matchups unpredictable. Both teams often emphasize different styles—Creighton historically leaning on perimeter scoring and Butler on disciplined defense and tempo management—so matchup specifics matter more than simple win-loss records. Venue and timing (home court for Butler, travel, and rest) also shape how a given matchup typically plays out.
Prediction market prices for spread outcomes represent the market’s collective view of which margin ranges are most likely, and they update as bettors incorporate new information. Treat these prices as a real-time signal that reflects injuries, lineup news, betting flow, and other public and private information rather than fixed forecasts.
The market offers a set of mutually exclusive spread outcomes that cover different margin ranges for the game; a position pays out if the final point differential falls into the chosen range. With 11 outcomes listed, traders can take fine-grained positions on how wide the margin will be rather than just picking a winner.
Home-court tends to favor the host through crowd impact, routine and travel advantage, and officiating variance; markets typically account for this by assigning a home-edge to Butler, but the size of that edge will adjust as game-specific information (injuries, rest) comes in.
Late injury or lineup news usually causes rapid repricing: outcomes favoring the team missing the player will see reduced demand while the opponent-favoring outcomes gain. Traders who monitor official injury reports and coach confirmations can act on this information quickly, and exchanges may pause trading briefly to allow assimilating major news.
Resolution follows the exchange’s rules using the official final score from the game box score; once the game is completed and any official reviews are settled, the outcome is mapped to the spread range that determines payouts. The event page lists 'Closes: TBD'—typical practice is to close trading shortly before game start and settle after the official final score is available.
Head-to-head history can highlight persistent matchup advantages (for example, how one team defends the other’s primary scorer), but its relevance depends on roster continuity and recent form. Use recent meetings and current-season matchup data as more reliable inputs than distant historical results.