| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 204.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 207.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 210.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 213.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 216.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 219.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 222.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 225.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 228.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 231.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 234.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the point spread outcome for Game 2 of the NBA matchup between the Portland Trail Blazers and the San Antonio Spurs. Traders are predicting whether the final point margin will favor Portland or San Antonio relative to the set spread.
The point spread is a key betting mechanic designed to level the playing field between two teams of varying perceived strength. In Game 2, analysts look at how the teams adjusted from their first meeting, taking into account player fatigue, home-court advantage, and tactical shifts made by the coaching staffs. Historical data between these two franchises often reflects contrasting playstyles, which heavily influences how the spread is set for each individual contest.
The odds reflect the collective market consensus on how much one team will outperform the other, effectively predicting if a team will 'cover' the spread.
Covering the spread means a team wins by more points than the handicap if they are the favorite, or loses by fewer points than the handicap if they are the underdog.
Game 1 provides baseline data on how the teams match up strategically, which informs how oddsmakers and the market adjust the expectations for the subsequent game.
No, this market specifically concerns the point differential between the two teams, not the combined total score of the game.
Sudden injury news often causes significant volatility in the market as traders reassess the impact of that specific player on the team's ability to cover the spread.
In the NBA, the final score including all overtime periods is used to determine whether the spread was covered.