| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 149.5 points scored | 47% | 41¢ | 48¢ | — | $10 | Trade → |
| Over 143.5 points scored | 0% | 55¢ | 61¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 34¢ | 41¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 62¢ | 68¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 74¢ | 82¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 48¢ | 55¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 69¢ | 75¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 78¢ | 86¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 15¢ | 24¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 21¢ | 28¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 27¢ | 33¢ | — | $0 | Trade → |
This market lets traders bet on the total number of points scored in the college football game Arizona St. at Iowa St. It matters because the total reflects the combined offensive and defensive performance and is a common way to trade expectations about how the game will play out.
Context for a total-points market comes from team styles, recent scoring trends, head-to-head history, and game circumstances such as venue and weather. Historical meetings, conference play style, and coaching philosophies can all shape whether a matchup tends toward high or low scoring.
Market prices across the available outcomes represent the crowd’s view of which point ranges are most likely; each outcome corresponds to a mutually exclusive bucket of possible final-game totals. Traders use those prices to compare their own view of the game’s likely scoring to the market consensus.
The 11 outcomes split the range of possible final-game totals into discrete, mutually exclusive buckets (e.g., ranges or exact totals presented on the market page). The market pays out the outcome whose bucket contains the official final combined score.
Settlement generally occurs after the game’s official final score is recorded, including any overtime used to determine the winner; check the market’s rules page for exact settlement conventions and handling of cancellations or postponements.
Starting quarterbacks, primary running backs, lead receivers, and key defensive starters (edge rushers and top defensive backs) have the largest direct impact on scoring; late changes at those positions typically move expectations the most.
Confirm whether the game is indoors or outdoors, and monitor local forecasts for wind, temperature, and precipitation—conditions that can hinder passing and kicking typically push expected totals lower, while calm conditions favor higher scoring.
Injuries to high-leverage players (quarterbacks, lead rushers, or top defenders) can materially change scoring expectations; markets often react quickly to official injury reports, so follow team announcements and depth-chart notes for timely information.