| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| UConn wins by over 48.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 27.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 45.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 24.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 21.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 33.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 36.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 39.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 30.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 51.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 42.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express expectations about the point spread for the Syracuse at UConn game. It matters because spread markets aggregate information about team strength, injuries, and other game-day factors into tradable outcomes.
Syracuse and UConn are two college basketball programs with distinct styles and fanbases; games between them draw attention for tactical matchup questions and regional interest. College rosters change year to year, so recent form, transfers, and injuries typically matter more than long-term history when assessing a single-game spread.
Market prices on this platform represent the consensus view of which spread outcomes are most likely given available information, and price movement reflects new information as it arrives (lineups, injuries, travel, etc.). Treat prices as a real-time summary, not a fixed prediction, and consult the market page for live updates.
Each of the 11 outcomes corresponds to a specific spread interval or line available for this game; traders pick the outcome that matches the final margin relative to that spread. Check the market page to see the exact mapping from outcomes to point margins.
Closing time is set by the platform and typically occurs shortly before the scheduled game tipoff or when trading is suspended for official lineups; monitor the market page for an announced close time or automatic updates from the platform.
Late injuries or lineup updates can rapidly shift which outcomes traders favor, causing market prices to move and occasionally prompting new orders to appear; settlement still depends on the official game result as reported by the designated data provider.
Head-to-head history provides context about matchups and coaching tendencies, but markets typically weight current-season form, roster composition, and immediate news more heavily when pricing a single-game spread.
Settlement is based on the official final score and the margin of victory relative to the spread outcome definitions; consult the market rules for specifics on ties, pushes, and the authoritative source used for the final score.