| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 158.5 points scored | 51% | 53¢ | 54¢ | — | $117 | Trade → |
| Over 173.5 points scored | 0% | 17¢ | 23¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 77¢ | 84¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 44¢ | 45¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 63¢ | 67¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 36¢ | 40¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 73¢ | 79¢ | — | $0 | Trade → |
| Over 167.5 points scored | 0% | 29¢ | 32¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 68¢ | 73¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 56¢ | 59¢ | — | $0 | Trade → |
| Over 170.5 points scored | 0% | 22¢ | 29¢ | — | $0 | Trade → |
This prediction market asks how many combined points will be scored in the Northern Kentucky at Oakland basketball game, broken into discrete outcome ranges. It matters because market prices summarize collective expectations about how high- or low-scoring this specific matchup will be.
Northern Kentucky and Oakland are conference opponents with recent familiarity that can affect tempo and game planning; both teams' offensive and defensive identities across the season provide context for scoring expectations. Venue, recent form, and roster availability around the date of the game will shape how this matchup plays out offensively and defensively.
Market prices on each outcome indicate how traders collectively rate the plausibility of different total-point ranges for this game; movement in prices reflects new information such as injuries, lineup changes, or late-breaking team news. Interpreting these prices alongside independent game-level research helps form a view on likely scoring ranges.
The official close time is listed as TBD on the market; typically such markets close at or shortly before the game tip-off, but check the market page for any posted final close time or updates.
The 11 outcomes partition the possible ranges of combined points scored into discrete buckets (e.g., intervals or exact totals depending on market design), allowing traders to express beliefs about which scoring range the game will fall into.
Northern Kentucky’s and Oakland’s recent pace, three-point volume and accuracy, and how each defends transition and late-clock possessions are the primary tendencies that push the expected total toward lower or higher ranges.
Late injuries or lineup changes can materially alter scoring expectations—losing a primary scorer or a key defender typically reduces or redistributes expected points—so incorporate official injury reports and coach announcements as they appear.
Yes: recent head-to-head games reveal how the matchup unfolds tactically (tempo, defensive matchups, margin of victory) and can be informative, but weigh that history against current-season form and roster differences.