| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 148.5 points scored | 56% | 56¢ | 62¢ | — | $10 | Trade → |
| Over 154.5 points scored | 44% | 44¢ | 47¢ | — | $8 | Trade → |
| Over 142.5 points scored | 0% | 69¢ | 75¢ | — | $0 | Trade → |
| Over 157.5 points scored | 0% | 35¢ | 41¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 52¢ | 55¢ | — | $0 | Trade → |
| Over 169.5 points scored | 0% | 11¢ | 20¢ | — | $0 | Trade → |
| Over 166.5 points scored | 0% | 16¢ | 24¢ | — | $0 | Trade → |
| Over 160.5 points scored | 0% | 29¢ | 35¢ | — | $0 | Trade → |
| Over 163.5 points scored | 0% | 22¢ | 30¢ | — | $0 | Trade → |
| Over 145.5 points scored | 0% | 63¢ | 70¢ | — | $0 | Trade → |
| Over 139.5 points scored | 0% | 74¢ | 81¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Stanford at North Carolina St. game by placing trades on discrete point-range outcomes. It matters because total-points markets let traders express views about game tempo, scoring, and game-script risk without picking a winner.
Stanford and North Carolina State come from different conferences and football/basketball traditions, and matchups between them can produce widely different scoring outcomes depending on coaching style and roster composition. Historical scores offer context but rosters, injuries, and game locations can change scoring profiles from year to year, so treat past meetings as only one input.
Prices across the available outcomes represent the market’s aggregated view of plausible total-point ranges for this specific game; higher-priced outcomes indicate stronger market support for that range. Use prices as a relative signal of expectations and risk rather than a fixed prediction.
Total points means the combined points scored by both teams as defined in the contract text on the event page; always read the settlement rules there to confirm exact definitions (e.g., whether fouls, technicals, or other scoring events are included).
Whether overtime counts is specified in the market’s settlement rules on the event page; if the page does not explicitly state the treatment of overtime, contact the platform’s support for clarification before trading.
The close time for this specific market is listed as TBD; markets like this commonly close at or just before kickoff/start of play, so check the event page for the official close time once it’s posted.
Late news that affects primary scorers or a starting quarterback/center typically has a large impact on total-point expectations; because this market currently has low traded volume ($18), expect greater price sensitivity to late-breaking lineup and injury information.
Look at recent head-to-head totals, each team’s season-to-date points scored and allowed, opponent-adjusted offensive/defensive efficiency, and pace; use multi-season trends cautiously because coaching changes, transfers, and injuries can quickly change a team’s scoring profile.