| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| UC San Diego wins by over 5.5 Points | 49% | 49¢ | 51¢ | — | $962 | Trade → |
| UC San Diego wins by over 2.5 Points | 64% | 59¢ | 64¢ | — | $300 | Trade → |
| UC San Diego wins by over 7.5 Points | 41% | 41¢ | 44¢ | — | $60 | Trade → |
| Cal Poly wins by over 5.5 Points | 14% | 14¢ | 21¢ | — | $15 | Trade → |
| UC San Diego wins by over 4.5 Points | 56% | 52¢ | 56¢ | — | $6 | Trade → |
| UC San Diego wins by over 1.5 Points | 67% | 62¢ | 68¢ | — | $1 | Trade → |
| UC San Diego wins by over 19.5 Points | 0% | 4¢ | 11¢ | — | $0 | Trade → |
| UC San Diego wins by over 10.5 Points | 0% | 29¢ | 35¢ | — | $0 | Trade → |
| Cal Poly wins by over 10.5 Points | 0% | 5¢ | 12¢ | — | $0 | Trade → |
| Cal Poly wins by over 1.5 Points | 0% | 26¢ | 31¢ | — | $0 | Trade → |
| Cal Poly wins by over 8.5 Points | 0% | 9¢ | 15¢ | — | $0 | Trade → |
| Cal Poly wins by over 7.5 Points | 0% | 10¢ | 17¢ | — | $0 | Trade → |
| UC San Diego wins by over 17.5 Points | 0% | 8¢ | 15¢ | — | $0 | Trade → |
| UC San Diego wins by over 11.5 Points | 0% | 25¢ | 31¢ | — | $0 | Trade → |
| UC San Diego wins by over 13.5 Points | 0% | 19¢ | 25¢ | — | $0 | Trade → |
| Cal Poly wins by over 2.5 Points | 0% | 23¢ | 30¢ | — | $0 | Trade → |
| Cal Poly wins by over 4.5 Points | 0% | 16¢ | 23¢ | — | $0 | Trade → |
| UC San Diego wins by over 20.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
| UC San Diego wins by over 8.5 Points | 0% | 37¢ | 42¢ | — | $0 | Trade → |
| UC San Diego wins by over 16.5 Points | 0% | 11¢ | 17¢ | — | $0 | Trade → |
| Cal Poly wins by over 11.5 Points | 0% | 4¢ | 12¢ | — | $0 | Trade → |
| UC San Diego wins by over 14.5 Points | 0% | 15¢ | 22¢ | — | $0 | Trade → |
This market asks which spread outcome will occur in the Cal Poly at UC San Diego game; it matters to traders who want to express views on the margin of victory rather than just the winner. Spread markets help capture market expectations about how competitive the game will be.
Cal Poly and UC San Diego are college basketball programs with differing histories, conference affiliations, and roster compositions; those differences drive pregame expectations and how the spread is set. Recent form, injuries, matchup styles, and scheduling (home/away, travel) typically shape public and sharp interest in this matchup. The market lists multiple spread outcomes to let traders allocate belief across a range of possible margins.
Market prices reflect the consensus of traders about which spread outcome is most likely and will move as new information arrives. Treat prices as a real-time aggregation of beliefs, not guarantees of final results.
The event page lists the close time as TBD; the market will typically close according to the platform's rules, often shortly before official tipoff or when the official spread is locked. Check the market page for live updates and the exchange's closure policy.
Each outcome corresponds to a specific spread bracket or exact margin range for the game; together they cover a spectrum of possible victory margins so traders can back narrow or wide outcomes. The market page shows the mapping between each outcome label and the point-differential it represents.
Settlement is based on the official final score reported by the designated data source specified by the platform; the outcome whose spread bracket contains the final margin will be declared the winner. Check the market's settlement rules for tie/push handling and the authoritative source used for scores.
Look at recent head-to-head meetings (if any), both teams' performance against similar opponents, lineup matchups that affect tempo or inside scoring, and any coach-identified strategies. Use that context to judge whether the listed spreads reflect likely on-court advantages or undersell certain matchup edges.
The total volume indicates how much trading activity has occurred so far; a relatively low figure like $101 implies limited liquidity, meaning prices can move more sharply on new information or individual trades. Traders should be aware additional volume or late news can materially affect prices in low-liquidity markets.