| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Saint Louis wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saint Louis wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saint Louis wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saint Louis wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saint Louis wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saint Louis wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Saint Louis wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which point-spread outcome will occur when Dayton visits Saint Louis; it matters for bettors and analysts who want a market-based view of the likely margin of victory between these two college basketball teams.
Dayton and Saint Louis are programs that frequently meet within the same conference framework and their matchups often hinge on stylistic contrasts and roster continuity. Historical meetings, recent season form, and venue (Saint Louis home game) provide context, while late roster news or coaching adjustments can shift expectations quickly.
Market prices on each spread outcome reflect traders’ collective expectations about the final margin; higher-priced outcomes indicate the market views them as less likely while lower-priced outcomes indicate greater market confidence, and prices update as new information arrives.
The market breaks the possible final-margin range into multiple spread outcomes so traders can express beliefs about different margin intervals rather than a single win/loss outcome.
Resolution depends on the platform’s official rules: the market typically requires an official final score to determine which spread interval is correct; overtime scores are usually included in the final margin, and postponements or cancellations are resolved according to the exchange’s stated resolution policy—check the market page for specifics.
The closing time for this specific market is listed as TBD on the event page; once the platform posts a firm close time the market will stop accepting trades, and payouts are made after the official game result is verified and the market is resolved.
Late information such as starting lineup changes, injury reports, availability of primary ball-handlers or shot creators, and announced suspensions typically have the largest immediate impact on spread pricing.
Head-to-head history is useful for context but can be misleading if rosters, coaching staffs, or season circumstances have changed; focus on recent performance, current rosters, and situational factors (home/away, rest, injuries) in addition to historical results.