| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Tulsa wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tulsa wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how the point spread will resolve in the Tulsa at Wichita St. game — essentially which team covers and by what margin. Spread markets matter because they focus on relative performance, not just who wins, and are central to game-level trading and hedging.
Tulsa and Wichita State are regional college basketball programs that have met periodically; outcomes depend on season-to-season roster changes and coaching matchups. Recent form, travel and where the game is played typically shape expectations; historical head-to-head results are informative but must be weighed against current-team differences.
Market prices summarize traders' collective views about the expected margin of victory relative to a posted line; price movement reflects new public and private information. Treat market quotes as live signals that can change up to game start as injuries, lineups, and betting flow arrive.
The close time is listed as TBD for this market; typically the spread market closes at or shortly before scheduled tip-off. Check the KALSHI listing for the final close time once the game schedule is confirmed.
The multiple outcomes partition possible margin ranges by which one team covers the spread (for example, ranges covering a Wichita State win by many points down to a Tulsa cover). Each outcome corresponds to a different interval of final scoring margin relative to the spread.
Confirmed injuries or late scratches, announced starting lineups, changes to travel or rest status, major lineup rotations, and shifts in bookmaker lines or heavy betting activity are the biggest drivers of last-minute price movement.
Head-to-head history can reveal matchup tendencies, but give more weight to recent games within the current season and roster context. Use past meetings as context, not as determinative evidence, because college rosters turn over frequently.
Zero reported volume means there have been no trades yet and liquidity is low; the market can still open and move, but low liquidity increases execution risk and potential price volatility. Consider waiting for clearer activity or use smaller position sizes until volume grows.