| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 158.5 points scored | 45% | 45¢ | 46¢ | — | $21K | Trade → |
| Over 155.5 points scored | 54% | 53¢ | 54¢ | — | $20K | Trade → |
| Over 152.5 points scored | 62% | 60¢ | 62¢ | — | $9K | Trade → |
| Over 161.5 points scored | 39% | 38¢ | 39¢ | — | $7K | Trade → |
| Over 141.5 points scored | 83% | 81¢ | 84¢ | — | $935 | Trade → |
| Over 149.5 points scored | 70% | 66¢ | 70¢ | — | $483 | Trade → |
| Over 146.5 points scored | 72% | 73¢ | 76¢ | — | $426 | Trade → |
| Over 143.5 points scored | 82% | 79¢ | 82¢ | — | $282 | Trade → |
| Over 173.5 points scored | 15% | 14¢ | 17¢ | — | $162 | Trade → |
| Over 167.5 points scored | 25% | 25¢ | 28¢ | — | $66 | Trade → |
| Over 164.5 points scored | 39% | 31¢ | 34¢ | — | $44 | Trade → |
| Over 170.5 points scored | 19% | 19¢ | 22¢ | — | $9 | Trade → |
This market asks how many total points will be scored in the college basketball game between Northern Kentucky and Wright State. It matters because total-points markets aggregate trader expectations about pace, offense and defense into a single, tradable prediction.
Northern Kentucky and Wright State are mid-major programs that frequently meet in Horizon League play; their matchup dynamics often reflect coaching styles, tempo and roster continuity. Season-to-season changes in personnel, injuries, and conference standing can shift scoring expectations, while venue (home vs. away) and recent form provide immediate context for this specific game.
Market prices represent the collective view of which total-points outcome is most likely and move as new information arrives (injuries, lineups, travel, etc.). Treat prices as a real-time signal of market sentiment about scoring rather than a static forecast.
It refers to the combined points scored by both teams in the game; whether overtime is included depends on this market's specific rules, so check the event description for that detail.
The 11 outcomes split the range of possible combined scores into discrete buckets or exact totals so traders can take positions on different scoring intervals across the full distribution of possibilities.
Markets typically adjust rapidly once credible information is public; impactful lineup news (starters out, key minutes changes) usually moves expectations for total points within minutes as traders update positions.
Head-to-head trends can be informative, especially for matchups with stable rosters and coaching, but treat them alongside current-season form, venue and roster changes because scoring patterns evolve over time.
Closure timing is set by the platform and often occurs shortly before tip-off or when the official starting lineup is confirmed; monitor the event page for the announced close time and any last-minute updates.