| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 244.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 223.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 226.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 229.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 232.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 253.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 247.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 250.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 238.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 241.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 235.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Atlanta at Dallas game; it matters because totals markets concentrate information about expected game tempo, scoring efficiency, and game-script risks. Traders use it to express views on offense/defense matchups and to hedge exposure tied to game scoring.
Context includes both teams' recent offensive and defensive performance, roster availability, and venue characteristics that influence scoring (surface, roof/open-air). Historical head-to-head scoring and league-wide scoring trends provide baseline expectations, while game-to-game variability (injuries, weather, coaching strategy) drives deviations. The market has multiple discrete outcomes, so prices reflect demand for different scoring ranges rather than a single over/under line.
Market prices for each outcome indicate how the crowd is allocating capital across scoring ranges and will move as new information arrives; they are not fixed forecasts but real-time reflections of participant beliefs. In multi-outcome totals, a shift in one bin usually redistributes probability-like pricing across neighboring bins.
Each outcome represents a defined scoring range (a specific total points bin). Prices on those outcomes show how participants are distributing their views across possible total-score intervals rather than a single over/under number.
A late QB injury typically shifts demand toward lower-scoring outcomes if it weakens the offense or toward higher-scoring outcomes if it removes a conservative play‑caller; the exact impact depends on the backup’s style and the team’s ability to adjust, and these shifts normally occur quickly as news is digested.
Whether overtime counts depends on the market’s settlement rules; refer to the event contract description on the trading platform or exchange rules to confirm whether scoring after regulation is included.
Settlement in cases of postponement or cancellation is governed by the platform’s event terms—common outcomes include voiding the market, settling based on league rulings, or waiting until a rescheduled game is played; check the exchange’s published settlement policy for this event.
Scoring plays (touchdowns, field goals), defensive touchdowns or turnovers, ejections or sudden injuries to key scorers, and major coaching decisions (going for it on fourth down) typically move prices most, because they change near-term scoring expectations and game script.