| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 150.5 points scored | 47% | 46¢ | 47¢ | — | $18K | Trade → |
| Over 147.5 points scored | 55% | 55¢ | 56¢ | — | $8K | Trade → |
| Over 141.5 points scored | 71% | 69¢ | 72¢ | — | $7K | Trade → |
| Over 144.5 points scored | 63% | 62¢ | 64¢ | — | $5K | Trade → |
| Over 153.5 points scored | 42% | 40¢ | 42¢ | — | $2K | Trade → |
| Over 138.5 points scored | 76% | 75¢ | 77¢ | — | $2K | Trade → |
| Over 164.5 points scored | 23% | 17¢ | 20¢ | — | $84 | Trade → |
| Over 135.5 points scored | 82% | 80¢ | 82¢ | — | $61 | Trade → |
| Over 159.5 points scored | 26% | 26¢ | 30¢ | — | $54 | Trade → |
| Over 162.5 points scored | 23% | 20¢ | 24¢ | — | $43 | Trade → |
| Over 156.5 points scored | 30% | 33¢ | 35¢ | — | $23 | Trade → |
| Over 132.5 points scored | 87% | 86¢ | 87¢ | — | $6 | Trade → |
This market asks traders to predict the combined final score (total points) for the Santa Clara at Saint Mary's game across multiple outcome bands. Totals markets matter because they isolate scoring expectations separate from which team wins, letting participants express views on tempo and offensive/defensive performance.
Santa Clara and Saint Mary's are conference rivals in the West Coast Conference, and their matchups are shaped by contrasting styles, roster turnover, and coaching approaches common in college basketball. Historical head-to-head results and season-long offensive and defensive metrics provide context, but college rosters change annually and short-term factors (injuries, rest, travel) frequently shift scoring dynamics.
Market prices represent the crowd's consensus about which total-points range is most likely and update as new information arrives; they are best interpreted as the market-implied expectation for scoring rather than a guarantee of outcome.
The market's close time is set by the platform and currently listed as TBD on the event page; check the market page for an updated close time—markets for game totals typically close before or at tip-off, but confirm the platform's posted schedule.
Whether overtime is included depends on the market's resolution rules; consult the event's resolution terms on the platform to see if the final total includes overtime or is based on regulation only.
Head-to-head totals show historical tendencies but have limited predictive power on their own because of roster turnover, coaching changes, and small sample sizes—use them alongside season metrics (pace, offensive/defensive efficiency) and current roster information.
Key items are the availability and recent form of each team's primary scorers, main ball-handlers (which affect possessions and shot creation), leading three-point shooters, and interior defenders/rebounders—late lineup news for any of these players can materially shift the expected total.
Prices typically update rapidly as traders incorporate new information; the speed and magnitude of movement depend on liquidity and recent volume (this market shows total volume traded of $41,839 across 12 outcomes), so large or surprising news can drive quick and sizable price adjustments.