| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Tulsa wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the point-spread outcome for the college basketball game between Wichita State and Tulsa. Spread markets matter because they reflect collective expectations about the margin of victory and are used by bettors and analysts to gauge market sentiment.
Wichita State and Tulsa are collegiate programs whose matchups have implications for conference standings and postseason positioning; program strengths and styles have varied year to year. Historical results, coaching philosophy, and roster turnover all shape expectations going into a given meeting, while game-to-game context (rest, injuries, travel) often drives short-term market movement.
Prices in a spread market represent the market-implied expectation about which side will cover the posted margin; price movements signal how traders update that expectation as new information arrives. Use the market as a real-time aggregator of information rather than a fixed forecast.
The market will close at a time set by the platform—typically before tip-off to prevent trading on live-game events; check the market page for the official close time or announcements if the close is listed as TBD.
This market offers multiple discrete spread outcomes representing different margin bins (e.g., ranges in which Wichita State or Tulsa wins by X points); the winning outcome depends on the final margin falling into one of those bins.
The favored team is indicated by the side of the spread with the negative or smaller number on the market listing; consult the current market labels to see which team is presented as the favorite or underdog.
Track official injury reports, coach press conferences, and late scratches; significant absences for primary scorers or defenders typically move spread prices quickly as traders incorporate the new information.
Head-to-head history can reveal matchup tendencies (e.g., one team consistently exploits the other's weaknesses) but should be adjusted for roster turnover, coaching changes, and current-season performance; prioritize recent form and current rosters.