| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Hofstra wins by over 4.5 Points | 50% | 47¢ | 50¢ | — | $58K | Trade → |
| Hofstra wins by over 2.5 Points | 57% | 56¢ | 57¢ | — | $22K | Trade → |
| Hofstra wins by over 5.5 Points | 43% | 44¢ | 45¢ | — | $8K | Trade → |
| Hofstra wins by over 7.5 Points | 38% | 35¢ | 38¢ | — | $998 | Trade → |
| Hofstra wins by over 8.5 Points | 32% | 32¢ | 35¢ | — | $445 | Trade → |
| Hofstra wins by over 16.5 Points | 13% | 10¢ | 14¢ | — | $422 | Trade → |
| Hofstra wins by over 1.5 Points | 61% | 58¢ | 61¢ | — | $298 | Trade → |
| Towson wins by over 19.5 Points | 1% | 1¢ | 2¢ | — | $260 | Trade → |
| Towson wins by over 7.5 Points | 14% | 15¢ | 19¢ | — | $116 | Trade → |
| Hofstra wins by over 11.5 Points | 27% | 21¢ | 26¢ | — | $97 | Trade → |
| Towson wins by over 4.5 Points | 23% | 22¢ | 23¢ | — | $84 | Trade → |
| Hofstra wins by over 13.5 Points | 21% | 16¢ | 20¢ | — | $64 | Trade → |
| Towson wins by over 1.5 Points | 32% | 33¢ | 35¢ | — | $17 | Trade → |
| Towson wins by over 2.5 Points | 29% | 28¢ | 33¢ | — | $15 | Trade → |
| Hofstra wins by over 19.5 Points | 11% | 5¢ | 7¢ | — | $7 | Trade → |
| Hofstra wins by over 10.5 Points | 28% | 24¢ | 29¢ | — | $6 | Trade → |
| Towson wins by over 10.5 Points | 0% | 8¢ | 10¢ | — | $0 | Trade → |
| Hofstra wins by over 14.5 Points | 0% | 14¢ | 18¢ | — | $0 | Trade → |
| Hofstra wins by over 17.5 Points | 0% | 8¢ | 13¢ | — | $0 | Trade → |
| Towson wins by over 16.5 Points | 0% | 3¢ | 4¢ | — | $0 | Trade → |
| Towson wins by over 13.5 Points | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Hofstra wins by over 20.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
| Towson wins by over 11.5 Points | 0% | 7¢ | 8¢ | — | $0 | Trade → |
| Towson wins by over 5.5 Points | 0% | 19¢ | 24¢ | — | $0 | Trade → |
| Towson wins by over 8.5 Points | 0% | 12¢ | 17¢ | — | $0 | Trade → |
This prediction market offers trading on the point-spread outcome for the Towson at Hofstra game; it matters because spread prices aggregate participant expectations about which team will cover the posted margin.
Towson and Hofstra are NCAA Division I programs whose matchup outcome depends on season form, roster changes, and coaching strategies; Hofstra will be the home side for this fixture, which typically influences game dynamics. Historical results between the programs, recent injuries, and conference scheduling can shift expectations rapidly, so markets update as new information appears.
Market prices convey the collective view of traders about whether Towson or Hofstra will cover the spread; they are signals of expectation and liquidity, not guarantees of the final result.
The platform sets the official close time, commonly locking the market shortly before game tip-off; because this event lists 'Closes: TBD', check the market page for the final lock time as the game approaches.
Those outcomes represent a range of discrete spread options or intervals that let traders take positions on different possible margins of victory or loss rather than a single binary result.
Absences of a team’s primary scorer, starting point guard (who controls offense), or a dominant rebounder/defensive anchor typically have the largest impact on the spread because they affect scoring, possession control, and defensive matchups.
Home-court usually confers advantages—familiarity with the arena, crowd support, and reduced travel fatigue—so markets commonly price some edge for the home team; the size of that effect varies with travel distance, rest days, and recent home/away performance.
Higher trading volume generally means more liquidity and that prices reflect a wider set of information and opinions; lower-volume markets can be more volatile and sensitive to single large trades or late news, so treat low-liquidity prices as potentially less stable.