Houston Rockets Team Stats 2024-25 Rockets Team Stats
1-2, 2nd in West Southwest
@ GS
2:00 am GMT, 4/29
The Houston Rockets team stats page provides a comprehensive look at how the team is performing across all major statistical categories. From scoring and pace to defensive efficiency and rebounding, this page breaks down the key numbers driving the Rockets' season. Whether you're tracking young player development, analyzing betting matchups, or managing a fantasy roster, these stats give you the edge. For daily updates on who’s starting, check out the latest Rockets lineup page.
Rockets Team Stats
| Team Ratings | Offense Stats | Defense Stats | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall | OFF RTG | DEF RTG | PPG | ORB | AST | TO | FGM | FGA | 3PA | 3-PM | FG% | 3PT% | FT% | Pace | PPG Allow | DRB | AST Allow | STL | BLK | FG% Allow | 3P% Allow | FORCE TO | ||
| 78 | 85 | 71 | 114.3 | 14.6 | 23.3 | 13 | 42.5 | 93.4 | 35.8 | 12.7 | 45.5 | 35.3 | 73.8 | 98.3 | 109.8 | 33.8 | 23.5 | 8.4 | 5 | 45.9 | 35.7 | 13.6 | ||
Rockets Team Rankings
| Team Rankings | Offense Rankings | Defense Rankings | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall | OFF RTG | DEF RTG | PPG | ORB | AST | TO | FGM | FGA | 3PA | 3-PM | FG% | 3PT% | FT% | Pace | PPG Allow | DRB | AST Allow | STL | BLK | FG% Allow | 3P% Allow | FORCE TO | ||
| 17 | 12 | 7 | 14 | 1 | 28 | 10 | 11 | 1 | 21 | 22 | 21 | 21 | 30 | 18 | 6 | 8 | 2 | 10 | 13 | 6 | 11 | 15 | ||
Rockets Team Offensive Stats
| Opponent | Vegas | Points Scored | Shooting | Rebounding | Assists | TO | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | | | | | | | | | | | | | | | | | | | |
| 12/14/24 | OKC | +5.5 | None | 0 | 96 | 0 | 0 | 0 | 0 | 96 | 35 | 46 | 11 | 23.9 | 36.5 | 30 | 19 | 49 | 17 | 16 |
| 12/11/24 | GSW | -3.5 | 0 | 0 | 91 | 0 | 0 | 0 | 0 | 83 | 38 | 27 | 6 | 22.2 | 45.8 | 29 | 7 | 36 | 23 | 16 |
Rockets Team Defensive Stats
| Opponent | Vegas | Points Allowed | Shooting (Allowed) | Rebounding (Allowed) | AST Allow | Defensive | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | | | | | | | | | | | | | | | | | | | | |
| 12/14/24 | OKC | -5.5 | 0 | 0 | 111 | 0 | 0 | 0 | 0 | 80 | 36 | 30 | 11 | 36.7 | 45 | 39 | 4 | 43 | 19 | 3 | 7 |
| 12/11/24 | GSW | +3.5 | None | 0 | 90 | 0 | 0 | 0 | 0 | 84 | 37 | 38 | 12 | 31.6 | 44 | 28 | 11 | 39 | 22 | 5 | 10 |
Rockets Team Leaders
Points Per Game
Assists Per Game
Rebounds Per Game
Steals Per Game
Blocks per Game
Rockets Player Stats
| | | | | | | | | | | | | | | | | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | 84 | 35.2 | 14.1 | 5.5 | 3.7 | 1.6 | 0.4 | 1.4 | 37.8 | 4.8 | 2.6 | 7.7 | 34.5 0 | 1.9 | 2.3 | 81 |
| | 81 | 32.9 | 21 | 3.4 | 4.6 | 0.9 | 0.3 | 2.5 | 42.3 | 7.4 | 2.9 | 8.1 | 35.4 0 | 3.3 | 4.1 | 81.2 |
| | 67 | 32.2 | 14.1 | 3.8 | 8.2 | 1.4 | 1.3 | 2 | 55.7 | 5.6 | 0.4 | 1.3 | 27.5 0 | 2.4 | 3.6 | 68.4 |
| | 81 | 31.8 | 14 | 1.7 | 3.7 | 0.8 | 0.2 | 1 | 42.9 | 5.1 | 2.5 | 6.3 | 39.7 0 | 1.3 | 1.6 | 81.8 |
| | 78 | 31.5 | 19.1 | 4.9 | 10.3 | 1.1 | 0.8 | 2.6 | 49.6 | 7.5 | 0.3 | 1.2 | 23.3 0 | 3.9 | 5.6 | 69.2 |
| | 77 | 30.1 | 12.2 | 1.1 | 7 | 0.4 | 0.7 | 1.1 | 43.8 | 4.4 | 1.7 | 4.9 | 35.4 0 | 1.8 | 2.2 | 82.5 |
| | 71 | 24.9 | 12 | 1.5 | 6.4 | 1.7 | 0.9 | 1.1 | 48.7 | 4.8 | 1.1 | 3.2 | 34.2 0 | 1.4 | 1.8 | 76 |
| | 67 | 16.2 | 9.4 | 1 | 3 | 0.6 | 0.3 | 0.9 | 44.4 | 3.5 | 1.3 | 3.6 | 35.5 0 | 1.1 | 1.4 | 75 |
| | 81 | 13.9 | 3.9 | 1.2 | 5.7 | 0.4 | 0.5 | 0.9 | 54.5 | 1.6 | 0 | 0 | 0 0 | 0.8 | 1.6 | 46.2 |
| | 74 | 12.8 | 5.5 | 1.3 | 1.3 | 0.3 | 0.2 | 0.6 | 43.7 | 1.9 | 1.2 | 2.9 | 39.8 0 | 0.5 | 0.7 | 82.9 |
| | 67 | 12.6 | 4.4 | 1.4 | 1.5 | 0.7 | 0.3 | 0.7 | 35.1 | 1.6 | 0.9 | 2.7 | 33.8 0 | 0.2 | 0.3 | 81.2 |
| | 67 | 12.5 | 6 | 0.5 | 5.2 | 0.2 | 1.2 | 0.5 | 76.9 | 2.5 | 0 | 0 | 0 0 | 1 | 1.2 | 80 |
| | 75 | 12.4 | 5.4 | 0.6 | 1.8 | 0.2 | 0.1 | 0.3 | 50.4 | 1.9 | 0.9 | 2.5 | 36.7 0 | 0.7 | 0.8 | 80.8 |
| | 71 | 12.4 | 4.6 | 1.1 | 2.5 | 0.4 | 0.3 | 0.7 | 45.6 | 1.7 | 0.6 | 1.8 | 31.1 0 | 0.6 | 0.8 | 76.9 |
| | 69 | 11.9 | 4.8 | 0.9 | 3.3 | 0.3 | 0.2 | 0.5 | 53.3 | 1.9 | 0.3 | 0.6 | 42.3 0 | 0.6 | 1 | 67.5 |
| | 78 | 11.3 | 3.6 | 0.9 | 2.2 | 0.5 | 0.1 | 0.4 | 47.3 | 1.3 | 0.3 | 0.9 | 34.8 0 | 0.6 | 0.9 | 68.1 |
| | 67 | 7.3 | 3.2 | 0.5 | 0.7 | 0.4 | 0.2 | 0.7 | 43.5 | 1.4 | 0.3 | 1.3 | 23.1 0 | 0.2 | 0.4 | 62.5 |
| | 67 | 4.8 | 1.6 | 0.1 | 0.6 | 0 | 0.2 | 0.2 | 29.4 | 0.6 | 0.4 | 1.4 | 30.8 0 | 0 | 0 | 0 |
| | 77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 0 | 0 | 0 | 0 |
Contents
- Houston Rockets Team Stats 2024-25
- Rockets Team Stats
- Rockets Team Rankings
- Rockets Team Offensive Stats
- Rockets Team Defensive Stats
- Rockets Team Leaders
- Rockets Player Stats
- Houston Rockets Stats: A Data-Driven Analysis
- Pre-Game Lineup and Statistical Projections
- Load Management and Minute Allocation Metrics
- Injury Impact and Real-Time Data Adjustments
- Matchup Analysis and Defensive Efficiency Metrics
- Rotation Depth and Bench Contribution Metrics
- Data-Backed Betting Strategies for Rockets Games
- Player Performance and Positional Splits
- Trend Analysis: Scoring, Efficiency, and Game Flow
- Leveraging Advanced Analytics for Outcome Prediction
- Identifying Value in Bench and Role Player Contributions
- Best Sportsbook Promotions for Rockets Betting
- Late Lineup Changes and Their Statistical Impact
- Data-Driven Adjustments to Moneylines and Spreads
- Impact on Game Totals and Player Prop Projections
- Capitalizing on Market Overreactions with Advanced Analytics
- DFS Success with a Focus on Advanced Data
- Prioritize Players with High Usage and Efficiency Metrics
- Matchup Analysis Grounded in Quantitative Data
- Optimizing DFS with Contextual and Situational Metrics
- Houston Rockets Rotations and Season-Long Fantasy Insights
- Assessing Rotational Stability Through Consistent Metrics
- Evaluating Roster Depth with Advanced Bench Metrics
- Proactive Roster Management with Real-Time Data
Houston Rockets Stats: A Data-Driven Analysis
The Houston Rockets are increasingly embracing advanced analytics to drive their rebuilding process and refine on-court strategies. Every aspect of their performance—from shooting percentages and pace to defensive metrics and turnover rates—is meticulously tracked to offer deep insights. Fans, bettors, DFS players, and fantasy managers gain a clear picture of how the Rockets operate, turning complex data into actionable strategies.
Pre-Game Lineup and Statistical Projections
Typically announced about 30 minutes before tip-off, the Rockets’ starting lineup provides early projections in key areas such as points, rebounds, and efficiency ratings. With emerging talents and seasoned contributors setting the tone, even minor lineup changes can significantly impact expected outputs. Real-time updates combined with historical performance data give an essential edge for informed betting and DFS decisions.
Load Management and Minute Allocation Metrics
Effective minute management is critical for the Rockets as they navigate a long, challenging season. Advanced metrics such as usage rate, player efficiency rating (PER), and average minutes per game reveal how the coaching staff strategically allocates playing time to balance rest and performance. These insights help predict which players may benefit from increased minutes in crucial matchups, guiding smarter wagering and DFS lineup adjustments.
Injury Impact and Real-Time Data Adjustments
When injuries or last-minute lineup changes occur, the Rockets’ statistical models update key metrics like effective field goal percentage (eFG%) and defensive efficiency almost instantaneously. The depth of the roster allows for quality substitutes to step in, and real-time injury reports ensure that projections remain accurate. Bettors and fantasy managers can leverage these updates to identify hidden value and adapt their strategies accordingly.
Matchup Analysis and Defensive Efficiency Metrics
Houston’s defensive performance is measured through advanced stats such as opponent shooting percentages and overall defensive ratings. Detailed matchup analyses—for example, how well the Rockets contest pick-and-roll situations or close out on shooters—offer granular insights into their defensive impact. This data-driven perspective provides a clearer understanding of game flow and individual contributions than traditional box scores.
Rotation Depth and Bench Contribution Metrics
The Rockets’ rotation depth is evaluated using key statistics such as bench scoring averages, per-minute production, and second-unit plus-minus ratings. Coach strategies regarding bench utilization are reflected in these numbers, revealing how role players contribute to overall team momentum. Thorough analysis of these bench metrics is essential for live betting and DFS strategies, as it uncovers opportunities that might be overlooked by conventional statistics.
Data-Backed Betting Strategies for Rockets Games
Leveraging detailed statistical trends from the Rockets’ gameplay offers a robust framework for smart betting decisions. Metrics including pace of play, turnover ratios, and shooting efficiencies play a crucial role in projecting point spreads and identifying value in player prop bets. Comparing current performance data with historical trends helps uncover discrepancies that signal favorable wagering opportunities, translating raw numbers into strategic insights.
Player Performance and Positional Splits
Detailed evaluations using metrics like true shooting percentage (TS%), PER, and usage rate shed light on the contributions of key Rockets players in various matchups. Analyzing performance trends of emerging stars and veterans provides an objective basis for refining prop bets and overall wagering strategies. These quantitative measures create a solid framework for making more informed, data-backed betting decisions.
Trend Analysis: Scoring, Efficiency, and Game Flow
Long-term trends in scoring averages, shooting percentages, and on/off splits form a strong predictive foundation for future Rockets performances. By merging historical data with current metrics, patterns of consistency or change can be identified before betting lines adjust. This detailed trend analysis serves as a reliable benchmark for anticipating game flow and spotting emerging betting value.
Leveraging Advanced Analytics for Outcome Prediction
Incorporating sophisticated metrics such as Player Impact Estimate (PIE), plus-minus ratings, and pace-adjusted statistics deepens the understanding of the Rockets’ overall performance dynamics. These continuously updated models are invaluable for both live betting and DFS decisions, converting complex data into clear, actionable insights. Advanced analytics provide the measurable edge needed to accurately forecast both individual contributions and team outcomes.
Identifying Value in Bench and Role Player Contributions
While headline players often capture most of the attention, the statistical contributions of the Rockets’ bench are equally important for a complete analysis. Secondary metrics, including bench scoring averages and efficiency ratings, reveal the impact of role players in shifting game momentum. Recognizing these contributions through detailed data analysis can uncover opportunities for live betting and DFS strategies that traditional statistics might overlook.
Best Sportsbook Promotions for Rockets Betting
To further enhance your data-driven betting strategy for Rockets games, take advantage of sportsbook promotions that offer risk-free bets and odds boosts. These offers are tailored to work in tandem with real-time performance metrics and roster updates, providing extra value for your wagers. Monitoring these dynamic promotions can optimize your betting returns by capitalizing on updated analytics.
- DraftKings Promo Code: Odds boosts, risk-free bets, and NBA-specific promos like same-game parlays.
- BetMGM Bonus Code: Risk-free bets, parlay insurance, and NBA-specific deposit match bonuses.
- Fanatics Sportsbook Promo: Enhanced NBA odds, player performance boosts, and exclusive bet offers.
- bet365 Bonus Code: NBA bet insurance, profit boosts, and tailored NBA betting promotions.
- Caesars Sportsbook Promo Code: First-bet insurance, NBA parlay bonuses, and boosted odds on featured matchups.
- BetRivers Bonus Code: Deposit match offers, profit boosts, and risk-free bets targeted to NBA betting.
- FanDuel Promo Code: No-sweat first bets, ongoing NBA promotions, and special odds boosts.
Late Lineup Changes and Their Statistical Impact
Last-minute adjustments and unexpected load management decisions can significantly alter the Rockets’ projected statistics. Advanced models rapidly update key metrics—such as offensive efficiency and points per possession—when lineup changes occur. Bettors and fantasy managers can use these real-time updates to fine-tune their strategies on the fly. Swift, data-driven responses to late-breaking news are critical for capturing emerging betting opportunities.
Data-Driven Adjustments to Moneylines and Spreads
When a pivotal player is unexpectedly sidelined, sportsbooks recalibrate moneylines and point spreads based on the latest statistical data. These adjustments capture shifts in team efficiency and overall production, opening up new wagering opportunities. Continuous, real-time monitoring ensures you catch these updates as soon as they occur, allowing for precise betting decisions.
Impact on Game Totals and Player Prop Projections
Changes in the starting lineup often necessitate a re-evaluation of expected scoring outputs, influencing both overall game totals and individual player prop bets. Updated advanced statistics illustrate how substitutions affect the game’s pace and offensive output. Meticulous tracking of these fluctuations enables precise adjustments to your betting strategy on totals and props, revealing value even in dynamic market conditions.
Capitalizing on Market Overreactions with Advanced Analytics
Occasionally, the betting market overreacts to sudden lineup changes, resulting in temporary mispricing of key statistical contributions. Advanced analytics help identify these discrepancies by comparing current data with historical benchmarks. Quick, data-driven responses to these market inefficiencies can yield significant profit opportunities. Detailed trend analysis enables you to pinpoint undervalued bets before the market corrects itself.
DFS Success with a Focus on Advanced Data
Constructing winning DFS lineups for the Rockets begins with a comprehensive analysis of advanced statistics, such as usage rates, effective field goal percentage, and per-minute production. A successful DFS strategy blends star power with role players who consistently deliver high value based on key metrics. Continuous evaluation of both individual and team data is essential for building a competitive roster. Leveraging comprehensive analytics provides your DFS lineup with a measurable edge.
Prioritize Players with High Usage and Efficiency Metrics
Core players like [Insert Key Player Name] are evaluated not only on their scoring outputs but also on efficiency metrics such as TS% and PER, which highlight their overall impact on the game. Building your DFS roster on proven, data-backed performers creates a stable foundation with minimal risk. Their consistent production and predictable minute allocations form a robust core for your lineup. An analytical approach to these performance indicators is critical for DFS success.
Matchup Analysis Grounded in Quantitative Data
Evaluating opponent defensive ratings, historical head-to-head data, and additional advanced metrics helps identify the most favorable matchups for DFS success. Using quantitative comparisons to determine which teams struggle defensively against the Rockets guides smarter player selections. Detailed, numbers-driven analysis uncovers opportunities that traditional evaluations might overlook, ensuring your DFS picks are both strategic and well-supported.
Optimizing DFS with Contextual and Situational Metrics
Contextual factors such as home-court advantage, back-to-back game scenarios, and travel fatigue are quantifiable and significantly influence player performance. Adjusting your DFS roster based on these situational statistics helps optimize overall lineup efficiency. Incorporating these variables ensures that your selections align with real-time game conditions. A data-centric approach to situational analysis offers clear insights into potential performance shifts.
Houston Rockets Rotations and Season-Long Fantasy Insights
In season-long fantasy basketball, maintaining consistent rotations and stable minute distributions is vital for building a competitive roster. Detailed evaluations of individual performance and long-term trends guide drafting and roster management decisions. By monitoring minute averages alongside key efficiency metrics, fantasy managers can anticipate fluctuations and adjust their teams proactively. Data-driven insights empower smarter, long-term fantasy strategies.
Assessing Rotational Stability Through Consistent Metrics
The Rockets’ core rotation is reflected in steady usage rates and consistent efficiency statistics from key players. Continuous tracking of performance metrics provides a reliable baseline for long-term fantasy success, highlighting predictable contributions throughout the season. This ongoing monitoring supports strategic planning and accurate forecasting of rotational trends.
Evaluating Roster Depth with Advanced Bench Metrics
Beyond the starting lineup, detailed bench statistics—such as scoring averages and plus-minus ratings—shed light on the overall depth of the Rockets’ roster. These metrics help identify undervalued role players who can contribute significantly when given additional minutes, especially during injuries or lineup rotations. Comprehensive data analysis of roster depth provides a competitive edge in season-long fantasy play.
Proactive Roster Management with Real-Time Data
Maintaining a competitive fantasy roster requires constant monitoring of real-time statistics, including minute fluctuations and efficiency updates. Adjusting your lineup based on the most up-to-date data enables you to capitalize on emerging opportunities before they become widely recognized. A proactive, data-driven approach ensures that your team remains optimized throughout the season, with regular updates and prompt adjustments based on current metrics.