| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Dallas wins by over 23.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 20.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 17.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 14.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 11.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 8.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 5.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dallas wins by over 2.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago wins by over 1.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago wins by over 4.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chicago wins by over 7.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the point spread for the Chicago at Dallas game, serving as a barometer for public sentiment regarding the relative strength of these two teams. It allows participants to speculate on whether the favorite will win by more than the projected margin or if the underdog will keep the contest closer than anticipated.
The point spread is a central metric in professional sports betting, designed to equalize a perceived skill gap between competing teams. Historical matchups between these franchises often hinge on specific coaching schemes and defensive matchups that dictate the pace of the game. Analysts frequently adjust their outlook based on injury reports and recent team performance metrics leading up to kickoff.
The outcomes represent different brackets of the final point differential, allowing you to bet on the range in which the final margin of victory will fall.
The point spread represents the projected difference in score; the market outcomes reflect which range that final margin will land in.
Yes, standard sports prediction markets account for the final score after any necessary overtime periods.
Dallas typically receives a boost in the spread based on the historical difficulty of playing in their home environment.
Late-breaking injury news is the most significant driver of spread volatility, as the market reacts to the news in real-time.
The market settles once the game concludes and the official final score is verified by league authorities.