| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Gonzaga wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Texas wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Texas wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gonzaga wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gonzaga wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gonzaga wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Texas wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gonzaga wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gonzaga wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Texas wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gonzaga wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express expectations about the point-spread outcome when Texas plays at Gonzaga — effectively which margin band the final score will fall into. It matters because spread markets aggregate information about team health, matchups, and game conditions that influence final margins.
Gonzaga typically plays at home in Spokane and has a history of strong offensive efficiency and frontcourt production; Texas often brings athleticism, length, and transition scoring. Past meetings, roster turnover, and where the game sits in each program's season schedule (nonconference neutral, tournament, or regular-season road game) all shape expectations for the matchup.
In this context, market prices reflect the crowd's view of which margin bands are most likely; moving prices indicate how new information (injuries, lineups, travel) is being incorporated. Treat prices as real-time summaries of consensus, not guarantees.
Close time is set by the platform; many spread markets close at or just before the scheduled tip-off to prevent trading on live game events. Check the market page for the official close time for this specific event.
Each spread outcome corresponds to a range of final-score margins (for example, Gonzaga wins by X–Y points or Texas wins by Z–W points). Buying an outcome bets that the final margin will fall within that specified band.
Announcements that remove or limit minutes for primary scorers, a leading rebounder/shot‑blocker, or the starting point guard typically have the largest impact; coaching lineup changes and late scratches are also highly influential.
Use past matchups as context for styles and coaching tendencies, but adjust heavily for roster turnover, injuries, season timing, and whether past games were at a different venue or in a different year—older results are less predictive.
Close games can generate rapid price swings as traders react to late scores; low liquidity can amplify those moves and create wide spreads between bids and offers, while higher liquidity generally produces smoother price discovery.