| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 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 235.5 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 244.5 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 253.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the combined total points scored by both the Utah Jazz and the Oklahoma City Thunder during their scheduled NBA game. It serves as a sentiment gauge for market participants regarding the offensive efficiency and defensive intensity of both teams.
The Oklahoma City Thunder typically play at a high pace with a heavy emphasis on perimeter shooting and transition opportunities. In contrast, the Utah Jazz's offensive output often depends on their backcourt play and interior rotation, making the interplay between these two styles a primary driver of the final score.
The market prices reflect the collective anticipation of how many total points will be scored, with higher prices indicating an expectation of an offensive-heavy, high-scoring game.
Injuries to key offensive contributors can significantly lower the expected total points, impacting the market consensus.
Yes, unless otherwise specified, all points scored during regulation and any necessary overtime periods are included in the final total.
Playing at home can influence shooting percentages and rhythm, which historically plays a role in the total scoring output of OKC games.
Official scoring statistics are sourced from the NBA’s final box score post-game.
The market utilizes multiple buckets to allow participants to trade on specific scoring ranges rather than a single fixed number.