| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 147.5 points scored | 52% | 48¢ | 52¢ | — | $5K | Trade → |
| Over 144.5 points scored | 54% | 53¢ | 57¢ | — | $4K | Trade → |
| Over 150.5 points scored | 40% | 40¢ | 45¢ | — | $2K | Trade → |
| Over 141.5 points scored | 61% | 61¢ | 65¢ | — | $838 | Trade → |
| Over 135.5 points scored | 80% | 74¢ | 79¢ | — | $626 | Trade → |
| Over 153.5 points scored | 38% | 32¢ | 38¢ | — | $448 | Trade → |
| Over 138.5 points scored | 70% | 68¢ | 72¢ | — | $91 | Trade → |
| Over 129.5 points scored | 89% | 81¢ | 89¢ | — | $67 | Trade → |
| Over 159.5 points scored | 27% | 19¢ | 27¢ | — | $24 | Trade → |
| Over 132.5 points scored | 81% | 77¢ | 84¢ | — | $24 | Trade → |
| Over 156.5 points scored | 27% | 26¢ | 31¢ | — | $7 | Trade → |
This market lets traders take positions on the total combined points scored in the college football game North Dakota at North Dakota St., across 11 distinct outcome buckets. Totals markets matter because they synthesize expectations about tempo, offensive strength, defenses and game conditions into a single tradeable asset.
North Dakota State and the University of North Dakota meet in matchups where team styles, coaching tendencies, and roster availability shape scoring profiles; historical meeting patterns and each program's season-long offense/defense performance feed into expectations. The market aggregates public information and real-time updates (injuries, lineup changes, weather or venue notes) so traders can express views on whether this game will be relatively high- or low-scoring.
Market prices for each outcome reflect the collective view of traders about where the game’s total points will land; movements update as new information arrives. Use prices as a summary signal rather than a definitive forecast, and cross-check with matchup-level analysis and late-breaking news.
Each outcome corresponds to a specific total-points bucket or line provided by the market (for exact bucket definitions, see the market interface). An outcome resolves as winning if the game’s final combined score falls inside that bucket.
The market’s close time is listed as TBD on the event page; on most platforms totals markets close at or shortly before kickoff to prevent resolution ambiguity. Check the market page for the definitive close time and any last-minute updates.
The traded volume indicates current market interest and liquidity: higher volume generally makes it easier to enter or exit positions and suggests more information has been incorporated, but volume alone does not guarantee prediction accuracy.
Key items include changes to starting quarterbacks or other primary offensive weapons, announced defensive absences, coaching staff changes that affect game plan, or official injury reports impacting rotation patterns—each can materially change scoring expectations.
Head-to-head and recent season scoring trends provide context (typical pace, home/away splits, and scoring variance), but markets also price in current-season form, roster changes, and situational factors; use history as one input among matchup data and live news.