| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Houston over 107.5 points scored | 48% | 14¢ | 55¢ | — | $186 | Trade → |
| Houston over 104.5 points scored | 57% | 21¢ | 65¢ | — | $166 | Trade → |
| San Antonio over 114.5 points scored | 52% | 47¢ | 51¢ | — | $127 | Trade → |
| Houston over 98.5 points scored | 84% | 48¢ | 83¢ | — | $102 | Trade → |
| San Antonio over 120.5 points scored | 33% | 2¢ | 55¢ | — | $72 | Trade → |
| Houston over 110.5 points scored | 39% | 14¢ | 45¢ | — | $40 | Trade → |
| San Antonio over 111.5 points scored | 61% | 29¢ | 62¢ | — | $35 | Trade → |
| San Antonio over 102.5 points scored | 97% | 49¢ | 100¢ | — | $26 | Trade → |
| San Antonio over 108.5 points scored | 72% | 24¢ | 72¢ | — | $12 | Trade → |
| San Antonio over 105.5 points scored | 81% | 39¢ | 91¢ | — | $3 | Trade → |
| Houston over 101.5 points scored | 0% | 27¢ | 95¢ | — | $0 | Trade → |
| Houston over 113.5 points scored | 0% | 4¢ | 67¢ | — | $0 | Trade → |
| Houston over 119.5 points scored | 0% | 0¢ | 50¢ | — | $0 | Trade → |
| San Antonio over 117.5 points scored | 0% | 4¢ | 48¢ | — | $0 | Trade → |
| Houston over 116.5 points scored | 0% | 6¢ | 52¢ | — | $0 | Trade → |
| Houston over 122.5 points scored | 0% | 0¢ | 48¢ | — | $0 | Trade → |
| San Antonio over 123.5 points scored | 0% | 2¢ | 24¢ | — | $0 | Trade → |
| San Antonio over 126.5 points scored | 0% | 0¢ | 50¢ | — | $0 | Trade → |
This market lets traders take positions on the number of points each team (Houston and San Antonio) will score in their matchup, focusing on team-specific scoring totals rather than the game winner. It matters to bettors and analysts who want to express views on offensive output, pace, and matchup-driven scoring outcomes.
Houston and San Antonio are regional rivals whose games often reflect contrasting styles, roster changes, and coaching strategies; those dynamics drive interest in team-total markets. Team totals separate each club’s scoring profile, which can diverge from game-wide totals when one side plays faster, rests key players, or deploys different rotations. Because rosters, injuries, and schedules change through a season, team-total lines are continuously sensitive to new information.
Prediction market prices reflect the collective market view about each team’s likely scoring outcome and update as new information arrives; they should be read as a market-implied expectation, not a guarantee. Liquidity, timing of news (injuries, rotations), and the number of discrete outcomes (here 18) affect how precisely the market summarizes that expectation.
The 18 outcomes correspond to discrete scoring thresholds or buckets offered across the team-total contracts for this matchup. Each outcome maps to a specific range or line for one team’s total; check the market page for the exact thresholds assigned to each outcome.
Closes: TBD means the market’s official settlement/closing time has not been fixed on the platform yet. Closing time is typically set before the game starts and can depend on league schedule confirmation, final lineup deadlines, or platform administration; the market will state the final close once that information is confirmed.
Total Volume Traded: $0 indicates there has been no recorded trading activity on this market so far. Low or zero volume can mean wider spreads, less reliable price discovery, and greater sensitivity to single trades or new information.
Late injuries or lineup changes can materially shift expectations for a team’s scoring total because they alter playing time, usage shares, and matchup dynamics. Markets typically react quickly to credible reports; traders should monitor official injury reports, coach comments, and pregame warmups for the most impactful signals.
Useful factors include recent head-to-head scoring trends, each team’s season pace and offensive efficiency, home/away splits, how each team defends the opponent’s primary scorers, and any roster or coaching changes since prior meetings. Emphasize situational splits (home vs. away, back-to-back status) and sample size—single past games are less informative than sustained trends.