| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Dayton wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bradley wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bradley wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bradley wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bradley wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bradley wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market offers a set of spread-based outcomes for the Dayton at Bradley game, letting traders take positions on which point-margin bracket the final score will fall into. It matters because spread markets aggregate public expectations about the likely margin of victory and can be used for hedging or comparing to sportsbook lines.
Dayton and Bradley are distinct college programs that typically meet infrequently outside scheduled conference play, so matchup context (nonconference scheduling, timing in the season) can matter. Both teams bring program-level identities — coaching styles, tempo and roster construction — that shape how a spread is set and how the game might unfold.
Market odds on a spread market represent the collective view of traders about likely scoring margins and change as participants react to information; they should be read as a consensus signal, not a guaranteed forecast. Movement in the odds often reflects new information (injuries, lineup changes, travel or late-breaking news) rather than a sudden change in underlying team quality.
The event page lists the close time as TBD; typically these markets close at the official scheduled game start on the platform and resolve based on the official final score (including overtime) from the governing box score source. Check the market page for any platform-specific close-time updates.
Each outcome corresponds to a discrete point-margin bracket for the final game margin (covering ranges in favor of either team). The outcome that contains the actual final margin determines which traders are paid out when the market resolves.
Past head-to-head games provide context on matchup tendencies and coaching adjustments, but markets typically weigh recent roster changes, current form and injuries more heavily. Use historical results as background rather than as a sole predictor.
Announcements affecting primary scorers, the starting point guard, a rim protector or a leading rebounder can swing the market; matchup-specific issues (e.g., a team that relies on outside shooting losing a shooter) are also influential. Late scratches and rotation changes are particularly market-moving.
Zero or very low reported volume indicates limited liquidity and few active traders, so quoted odds may be more volatile and less robust. In thin markets, small orders can move prices significantly and market consensus may not be well established.