| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Wichita St. wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 15.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 9.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 6.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 3.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 18.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins by over 12.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market offers outcomes tied to the point spread for the college basketball game Wichita St. at South Florida, aggregating trader expectations about the final margin. Spread markets matter because they signal market consensus about which team will cover and by how many points.
This is a college basketball matchup where short-term factors—injuries, starting lineups, coaching decisions, and roster turnover—can shift expectations quickly. Historical meetings can provide context, but college rosters change frequently, so recent team form and matchup styles are often more predictive than distant history.
Market prices represent the collective view of traders about which spread outcome is most likely and will move as new information arrives. Use price movement together with external information (injury reports, lineups, game-time conditions) to interpret shifts in market consensus.
The market's official close time and settlement rules are shown on the market page; typically spread markets close at the game's official start and are settled after the game's final official score according to the platform's rules—always check the market page for exact close and settlement details.
The outcomes correspond to distinct spread brackets or margin ranges; each outcome pays if the final game's margin falls within that bracket—consult the market description for the exact mapping of outcomes to point spreads.
Late injury and lineup news are high-impact signals; markets typically react quickly to official reports, so verify the source of the news and consider its expected effect on minutes, scoring, and matchup dynamics before trading.
Home-court advantage often contributes to a measurable edge—factors include crowd, familiarity with venue, and travel fatigue for the visitor—its importance should be weighed alongside roster quality and rest.
Head-to-head history can highlight matchup tendencies, but because college rosters change frequently, recent meetings and current-season matchup data (styles, injuries, form) are generally more informative than older results.