| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| UT Rio Grande Valley wins by over 9.5 Points | 48% | 47¢ | 50¢ | — | $8K | Trade → |
| UT Rio Grande Valley wins by over 6.5 Points | 61% | 59¢ | 64¢ | — | $492 | Trade → |
| Northwestern St. wins by over 6.5 Points | 4% | 4¢ | 7¢ | — | $420 | Trade → |
| UT Rio Grande Valley wins by over 3.5 Points | 73% | 70¢ | 75¢ | — | $338 | Trade → |
| UT Rio Grande Valley wins by over 12.5 Points | 40% | 35¢ | 40¢ | — | $95 | Trade → |
| Northwestern St. wins by over 3.5 Points | 8% | 9¢ | 16¢ | — | $5 | Trade → |
| UT Rio Grande Valley wins by over 15.5 Points | 19% | 26¢ | 30¢ | — | $3 | Trade → |
| UT Rio Grande Valley wins by over 18.5 Points | 0% | 20¢ | 23¢ | — | $0 | Trade → |
| UT Rio Grande Valley wins by over 24.5 Points | 0% | 4¢ | 9¢ | — | $0 | Trade → |
| UT Rio Grande Valley wins by over 21.5 Points | 0% | 9¢ | 15¢ | — | $0 | Trade → |
This market asks how the point spread will fall for the college basketball game between Northwestern State and UT Rio Grande Valley; it matters because the spread encapsulates market expectations about the margin of victory and is used by traders and bettors to express views on relative team strength.
This is a regular-season Division I matchup between two mid-major programs; outcomes often hinge on matchup mismatches, travel and roster availability rather than national trends. Because these teams are not perennial national powers, single-game variables—injuries, shooting variance, and matchup specifics—tend to swing spreads more than long-term form.
In a spread market, prices reflect the market’s consensus about likely margins rather than exact predictions; use them to gauge where traders collectively expect the game to land and how much uncertainty there is around that expectation.
It represents betting/trading outcomes tied to the margin of victory in the game — whether one team covers a certain point differential. The market’s multiple outcomes correspond to different spread ranges or exact margins, letting traders express beliefs about how close or lopsided the game will be.
TBD means the platform has not locked in a final close time; expect the market to remain tradable up until a closure announced by the platform or until shortly before game tipoff. Check platform notifications and be prepared for a final close near game start.
Total volume is a proxy for liquidity—$9,267 indicates a moderate level of activity for a single-game spread market. With only 10 discrete outcomes, market granularity is limited, so relatively small trades can move prices and individual outcomes may shift on new information.
Monitor late injury reports and starting lineups, minutes for key scorers, recent three-point and free-throw shooting trends, rebound/turnover matchup data, and any travel or rest irregularities; these items are the most likely to change the expected margin in the hours before tipoff.
Head-to-head history can help if there is a recent and sizable sample, but for mid-majors it’s often limited or outdated; prioritize recent season performance, comparable opponent results, and matchup-relevant statistics over distant past meetings.