| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Gonzaga wins by over 6.5 Points | 54% | 54¢ | 56¢ | — | $21K | Trade → |
| Gonzaga wins by over 3.5 Points | 67% | 65¢ | 67¢ | — | $2K | Trade → |
| Gonzaga wins by over 9.5 Points | 44% | 42¢ | 44¢ | — | $2K | Trade → |
| Gonzaga wins by over 12.5 Points | 30% | 31¢ | 35¢ | — | $410 | Trade → |
| Gonzaga wins by over 18.5 Points | 18% | 15¢ | 18¢ | — | $136 | Trade → |
| Gonzaga wins by over 15.5 Points | 24% | 22¢ | 24¢ | — | $119 | Trade → |
| Santa Clara wins by over 3.5 Points | 19% | 16¢ | 19¢ | — | $112 | Trade → |
| Gonzaga wins by over 21.5 Points | 0% | 9¢ | 13¢ | — | $0 | Trade → |
| Santa Clara wins by over 9.5 Points | 0% | 4¢ | 9¢ | — | $0 | Trade → |
| Gonzaga wins by over 24.5 Points | 0% | 4¢ | 18¢ | — | $0 | Trade → |
| Santa Clara wins by over 6.5 Points | 0% | 8¢ | 13¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur for the college basketball game Santa Clara at Gonzaga. It matters because the spread captures market consensus about the expected margin and lets traders express views on relative team strength and game circumstances.
Gonzaga is traditionally a strong home program in the West Coast Conference, while Santa Clara is a conference rival that can produce competitive games; past meetings and conference context influence expectations. In-season factors such as injuries, recent form, and travel schedule often shift how markets price the spread for a matchup like this.
Market prices for spread outcomes reflect the collective judgments of traders about the likely final margin; movements in those prices incorporate new information such as injury reports, starting lineups, and late-breaking news. Treat the market as a continuously updated signal about expectations rather than a fixed prediction.
The event page lists the close as TBD; typically the market will close shortly before the scheduled tipoff and will resolve based on the official final margin recorded by the game’s governing body. Check the KALSHI event page for the official close time and final resolution details.
The 11 outcomes divide possible final margins into discrete spread buckets; when the game ends the bucket that contains the official margin is the winning outcome. The event description on KALSHI will specify the exact margins covered by each outcome.
Resolution in those situations follows KALSHI’s marketplace rules: if the game is not played or completed within the timeframe specified by the platform, markets may be voided or resolved according to official guidelines. Consult KALSHI’s event rules for the precise policy that will apply.
Key contributors such as each team’s leading scorers, primary playmaker, and starting bigs typically move the spread; foul trouble, ejections, or a sudden bench emergence can also shift expected margins during pregame and in-play periods.
Track official injury reports, starting lineups, coaching comments, travel and rest status, late scratches, and betting-line moves from sportsbooks; any credible last-minute news can materially change which spread outcome is most likely.