| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 157.5 points scored | 48% | 47¢ | 49¢ | — | $9K | Trade → |
| Over 160.5 points scored | 40% | 40¢ | 41¢ | — | $6K | Trade → |
| Over 163.5 points scored | 33% | 33¢ | 37¢ | — | $943 | Trade → |
| Over 154.5 points scored | 56% | 54¢ | 56¢ | — | $253 | Trade → |
| Over 166.5 points scored | 32% | 27¢ | 31¢ | — | $161 | Trade → |
| Over 169.5 points scored | 25% | 21¢ | 25¢ | — | $12 | Trade → |
| Over 151.5 points scored | 0% | 61¢ | 65¢ | — | $0 | Trade → |
| Over 175.5 points scored | 0% | 12¢ | 16¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 75¢ | 79¢ | — | $0 | Trade → |
| Over 178.5 points scored | 0% | 9¢ | 13¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 67¢ | 71¢ | — | $0 | Trade → |
| Over 142.5 points scored | 0% | 77¢ | 83¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 71¢ | 75¢ | — | $0 | Trade → |
| Over 172.5 points scored | 0% | 17¢ | 21¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the college basketball game Santa Clara at Gonzaga; it matters because total-points contracts let traders express views about pace, shooting, and game flow rather than the winner.
Gonzaga is traditionally the home team with a history of high-tempo, high-scoring offensive performances, while Santa Clara’s style and defensive matchups can push the total up or down. Historical head-to-heads, recent offensive and defensive form, and late roster changes all shape expectations for the combined score.
Prediction-market prices on this market reflect the aggregate market view about whether the game’s combined points will fall into each listed outcome; interpret prices as real-time consensus signals that can move with new information like injuries or lineup announcements.
The market currently shows a close time of TBD; typically such markets close at or shortly before tip-off, but check the market page for the official closing timestamp and any updates from the exchange.
The 14 outcomes correspond to different discrete total-point thresholds or ranges offered by the market (e.g., specific over/under lines or buckets); each contract pays out if the final combined score falls into that contract’s defined range—consult the contract descriptions for exact boundaries.
Home-court can influence pace and shooting efficiency—crowd, shooting comfort, and travel fatigue for the visitor can nudge scoring—but its magnitude varies by team and game day, so combine home/away splits with current-season form and injury news.
Late injuries to primary scorers or starters typically have an outsized effect on expected totals because they alter usage and defensive matchups; traders often reprice quickly after official injury reports, so monitor team announcements and warm-up reports.
Whether overtime is included depends on the specific contract rules on the market page—some total-points contracts cover regulation only, others include overtime—check the contract terms before trading.