| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Seton Hall wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| St. John's wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| St. John's wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Seton Hall wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| St. John's wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| St. John's wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| St. John's wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| St. John's wins by over 22.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| St. John's wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| St. John's wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Seton Hall wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks which point-spread outcome will occur in the college basketball game between Seton Hall and St. John's; it matters because spread markets aggregate public and expert expectations about the likely margin of victory.
Seton Hall and St. John's are Big East conference opponents with a history of competitive games; matchup outcomes often hinge on tempo, rebounding and guard-versus-post matchups. Venue, injuries, and recent form can shift expected margins rapidly in the days and hours before tipoff.
Market prices in a spread market reflect how traders collectively view the likely margin bands for the game and will move as new information (lineups, injuries, rest, weather for travel, etc.) becomes available; they are not guarantees but indicators of consensus expectations.
The 11 outcomes correspond to discrete margin bands that cover everything from a sizable St. John's win through a sizable Seton Hall win; the market settles to the single outcome whose margin band contains the official final score differential (including overtime) per the game's box score.
The market's close time is listed as TBD; typically these markets close shortly before the scheduled tipoff and settlement occurs after the official game result is recorded, so check the platform for the announced closing timestamp.
Monitor official team injury reports, pregame releases, verified beat reports from both programs, and the listed starting lineups; those updates are the most likely to move market prices in the final hours before the game.
A late injury typically changes game dynamics and often moves market prices quickly; the eventual spread outcome will reflect the on-court performance without the injured player, and markets prior to settlement will incorporate that new information.
Head-to-head history provides context about matchup tendencies, but recent roster changes, current season performance, venue and health status are usually more predictive for a single game; use head-to-head trends alongside current-season metrics rather than as the sole basis for a view.