| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 142.5 points scored | 51% | 49¢ | 51¢ | — | $3K | Trade → |
| Over 145.5 points scored | 39% | 40¢ | 44¢ | — | $368 | Trade → |
| Over 133.5 points scored | 71% | 69¢ | 74¢ | — | $275 | Trade → |
| Over 139.5 points scored | 55% | 57¢ | 58¢ | — | $6 | Trade → |
| Over 157.5 points scored | 0% | 13¢ | 21¢ | — | $0 | Trade → |
| Over 136.5 points scored | 0% | 62¢ | 67¢ | — | $0 | Trade → |
| Over 125.5 points scored | 0% | 82¢ | 88¢ | — | $0 | Trade → |
| Over 130.5 points scored | 0% | 73¢ | 80¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 26¢ | 31¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 33¢ | 37¢ | — | $0 | Trade → |
| Over 127.5 points scored | 0% | 78¢ | 84¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 19¢ | 26¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Omaha at North Dakota St.: Total Points matchup. It matters because total-points markets focus on game tempo, offensive/defensive matchups, and game conditions rather than which team wins.
Omaha and North Dakota State meet as conference peers in a regularly scheduled matchup; historical meetings and recent seasons establish typical styles of play for each program. Changes in rosters, coaching emphasis on pace, and seasonal form can shift scoring profiles from year to year, so context around the current teams matters more than distant history.
Prediction market prices reflect the aggregated view of traders about the likely combined score for this specific game and will move as new information arrives. Use the market as a real-time signal of consensus expectations, while combining it with matchup-specific data (injuries, tempo, officiating tendencies) for your own assessment.
Closing time is set by the market operator and is commonly before the scheduled start of the game; check the event page for the current close time, as operators may update it or close trading at or shortly before tip-off/kickoff.
Key drivers include the expected pace of play, each team’s recent offensive and defensive efficiency, availability of primary scorers, matchup-specific strategies (e.g., pressure defense or three-point reliance), and any venue or environmental conditions that could affect scoring.
Different markets use different resolution rules, so first verify whether overtime points count on this specific contract; if overtime is included, expect higher totals and more sensitivity to close games; if excluded, the market reflects regulation-time scoring only.
Historical head-to-head results provide context on matchup tendencies but are not definitive—roster turnover, coaching changes, and recent form matter more for the next meeting, so prioritize current-season metrics while using history as a supplementary guide.
Late roster news can move the market quickly because it changes expected usage, scoring distribution, and defensive matchups; the magnitude of impact depends on which players are affected and how their absence alters tempo and efficiency, so monitor team injury reports and official announcements.