Are Stats Compared To Houston Rockets Stats? At COMPARE.EDU.VN, we provide an in-depth analysis of basketball team statistics, helping you understand player performance and team dynamics. This article explores various statistical categories, player comparisons, and team performance metrics to evaluate how individual stats stack up against the Houston Rockets’ overall stats. For basketball fans looking for detailed statistical comparisons and insights, our comprehensive analyses at COMPARE.EDU.VN offer the information needed to make informed judgments. In-depth analysis, basketball analytics, and statistical breakdowns provide a holistic view.
1. Understanding the Basics: What Statistics Are Typically Compared?
When discussing basketball statistics, there are several key metrics that analysts and fans often use to evaluate players and teams. These statistics provide insights into various aspects of the game, from scoring ability to defensive prowess. Here’s a breakdown of the most common stats used in comparisons:
- Points Per Game (PPG): This is the average number of points a player scores in a game. It’s a fundamental metric for assessing a player’s offensive contribution.
- Rebounds Per Game (RPG): This measures how many rebounds a player averages per game, indicating their ability to secure the ball after a missed shot.
- Assists Per Game (APG): This stat reflects the average number of assists a player makes per game, highlighting their playmaking skills and ability to set up teammates.
- Field Goal Percentage (FG%): This is the percentage of field goal attempts a player successfully makes, showcasing their shooting accuracy.
- Three-Point Percentage (3P%): This indicates the percentage of three-point shots a player makes, crucial for evaluating their long-range shooting ability.
- Free Throw Percentage (FT%): This measures the percentage of free throws a player converts, reflecting their accuracy from the free-throw line.
- Steals Per Game (SPG): This stat shows the average number of steals a player makes per game, indicating their defensive ability to disrupt the opponent’s offense.
- Blocks Per Game (BPG): This measures how many blocks a player averages per game, highlighting their defensive presence and ability to protect the rim.
- Turnovers Per Game (TPG): This indicates the average number of turnovers a player commits per game, reflecting their ball-handling skills and decision-making.
These statistics are essential for comparing individual player performance against team averages, such as those of the Houston Rockets. By analyzing these metrics, fans and analysts can gain a deeper understanding of a player’s strengths and weaknesses relative to the team’s overall performance.
2. How to Access and Interpret Basketball Statistics
Accessing and interpreting basketball statistics is now easier than ever, thanks to the abundance of resources available online. Understanding how to find and analyze these stats can significantly enhance your appreciation of the game. Here are some reliable sources for accessing basketball statistics:
- Official NBA Website: The official NBA website (NBA.com) is a primary source for up-to-date statistics, including player stats, team stats, game scores, and historical data.
- ESPN: ESPN’s NBA section (ESPN.com/nba) provides comprehensive coverage of the league, including live scores, news, and detailed statistics.
- Basketball-Reference: This website (Basketball-Reference.com) is a comprehensive archive of NBA statistics, offering detailed player and team data dating back to the early days of the league.
- StatMuse: StatMuse (StatMuse.com) allows users to ask statistical questions in natural language, providing quick and easy access to specific data points.
Once you have access to these statistics, understanding how to interpret them is crucial. For instance, when comparing Jayson Tatum’s stats to the Houston Rockets’ team stats, consider the following:
- Points Per Game (PPG): If Tatum scores significantly higher than the Rockets’ average PPG, it indicates his importance as a primary scorer.
- Rebounds Per Game (RPG): Comparing Tatum’s RPG to the team’s average can highlight his contribution to rebounding efforts.
- Assists Per Game (APG): If Tatum’s APG is high, it suggests he is a key playmaker for his team.
- Shooting Percentages (FG%, 3P%, FT%): These percentages help assess Tatum’s efficiency as a scorer compared to the Rockets’ overall shooting efficiency.
By using these resources and understanding how to interpret the data, you can make informed comparisons and gain a deeper appreciation for individual players and team dynamics.
Jayson Tatum
3. Detailed Player Statistics: Jayson Tatum vs. Key Houston Rockets Players
To provide a comprehensive comparison, let’s delve into the detailed statistics of Jayson Tatum and contrast them with those of key players from the Houston Rockets. This comparison will highlight the strengths and areas of improvement for each player.
Jayson Tatum’s Stats
As of the latest data, Jayson Tatum’s key stats include:
- Points Per Game (PPG): 27.1
- Rebounds Per Game (RPG): 9.0
- Assists Per Game (APG): 5.4
- Field Goal Percentage (FG%): 46.0%
- Three-Point Percentage (3P%): 35.4%
- Free Throw Percentage (FT%): 85.0%
- Steals Per Game (SPG): 1.1
- Blocks Per Game (BPG): 0.8
- Turnovers Per Game (TPG): 2.6
Key Houston Rockets Players
Let’s compare Tatum’s stats with those of Jalen Green and Alperen Sengun, two prominent players from the Houston Rockets:
Jalen Green’s Stats
- Points Per Game (PPG): 21.4
- Rebounds Per Game (RPG): 4.3
- Assists Per Game (APG): 2.8
- Field Goal Percentage (FG%): 42.6%
- Three-Point Percentage (3P%): 43.0%
- Free Throw Percentage (FT%): 80.0%
- Steals Per Game (SPG): 0.7
- Blocks Per Game (BPG): 0.3
- Turnovers Per Game (TPG): 1.9
Alperen Sengun’s Stats
- Points Per Game (PPG): 19.3
- Rebounds Per Game (RPG): 10.4
- Assists Per Game (APG): 5.0
- Field Goal Percentage (FG%): 54.0%
- Three-Point Percentage (3P%): 23.4%
- Free Throw Percentage (FT%): 75.0%
- Steals Per Game (SPG): 0.9
- Blocks Per Game (BPG): 0.9
- Turnovers Per Game (TPG): 2.5
Comparative Analysis
- Scoring: Jayson Tatum leads in scoring with 27.1 PPG, compared to Jalen Green’s 21.4 PPG and Alperen Sengun’s 19.3 PPG. This highlights Tatum’s role as a primary offensive option for his team.
- Rebounding: Alperen Sengun excels in rebounding with 10.4 RPG, surpassing Tatum’s 9.0 RPG and Green’s 4.3 RPG. This showcases Sengun’s dominance in the paint.
- Assists: Tatum and Sengun are nearly equal in assists, with 5.4 APG and 5.0 APG, respectively, indicating their playmaking abilities. Jalen Green lags behind with 2.8 APG.
- Shooting Efficiency: Sengun has the highest field goal percentage at 54.0%, demonstrating his efficiency around the basket. Green leads in three-point percentage with 43.0%, while Tatum shoots 35.4% from beyond the arc.
- Defense: Tatum and Sengun have similar defensive stats, with Tatum recording 1.1 SPG and 0.8 BPG, and Sengun recording 0.9 SPG and 0.9 BPG. Green has lower defensive stats, with 0.7 SPG and 0.3 BPG.
- Turnovers: All three players have relatively low turnover rates, with Tatum at 2.6 TPG, Sengun at 2.5 TPG, and Green at 1.9 TPG.
This detailed comparison provides valuable insights into each player’s strengths and contributions to their respective teams.
4. Understanding Advanced Basketball Statistics
Beyond the basic stats, advanced basketball statistics offer a deeper understanding of player performance and team dynamics. These metrics often adjust for factors like pace, efficiency, and usage, providing a more nuanced view of a player’s impact. Here are some key advanced stats:
- Player Efficiency Rating (PER): PER is a single number that encapsulates a player’s overall statistical contribution. It takes into account positive accomplishments, such as points, assists, and rebounds, and subtracts negative ones, like missed shots and turnovers. The league average PER is 15.00.
- True Shooting Percentage (TS%): TS% measures a player’s shooting efficiency by taking into account field goals, three-point field goals, and free throws. It is a more accurate reflection of shooting efficiency than traditional field goal percentage.
- Usage Rate (USG%): USG% estimates the percentage of team plays used by a player while they are on the floor. A high usage rate indicates that a player is heavily involved in the team’s offense.
- Win Shares (WS): Win Shares is an estimate of the number of wins a player produces for their team. It combines individual statistics into a single number that reflects a player’s overall contribution.
- Box Plus/Minus (BPM): BPM is a box score-based metric that estimates a player’s contribution to the team per 100 possessions. It adjusts for pace and is scaled so that 0.0 is league average.
- Value Over Replacement Player (VORP): VORP estimates a player’s overall contribution to the team compared to a replacement-level player. It is based on BPM and is expressed as an estimate of points per 100 possessions.
How Advanced Stats Enhance Player Evaluation
Advanced stats can significantly enhance player evaluation by providing context and depth beyond basic statistics. For example, while Jayson Tatum’s PPG might be higher than Jalen Green’s, looking at their TS% can reveal who is the more efficient scorer. Similarly, comparing their USG% can indicate who is more involved in their team’s offense.
Example: Applying Advanced Stats to Tatum and Rockets Players
Let’s consider the advanced stats for Jayson Tatum, Jalen Green, and Alperen Sengun:
- Jayson Tatum:
- PER: 22.5
- TS%: 56.0%
- USG%: 31.0%
- WS: 7.0
- BPM: 4.5
- VORP: 3.0
- Jalen Green:
- PER: 16.5
- TS%: 54.0%
- USG%: 25.0%
- WS: 3.5
- BPM: -1.0
- VORP: 0.5
- Alperen Sengun:
- PER: 20.0
- TS%: 60.0%
- USG%: 28.0%
- WS: 5.0
- BPM: 2.0
- VORP: 2.0
Analysis
- Efficiency: Alperen Sengun has the highest TS% at 60.0%, indicating he is the most efficient scorer among the three. Tatum’s TS% is also strong at 56.0%.
- Usage: Tatum has the highest USG% at 31.0%, meaning he is more involved in his team’s offense compared to Green (25.0%) and Sengun (28.0%).
- Overall Impact: Tatum leads in Win Shares (7.0), BPM (4.5), and VORP (3.0), suggesting he has the most significant overall impact on his team’s success.
By incorporating advanced statistics into the analysis, a more complete picture of each player’s value and contribution is obtained.
5. Team Performance Metrics: How Do the Celtics and Rockets Compare?
When comparing teams, it’s essential to look beyond individual player statistics and analyze overall team performance metrics. These metrics provide insights into how well a team functions as a unit, both offensively and defensively. Here are some key team performance metrics:
- Offensive Rating: This measures how many points a team scores per 100 possessions. It’s a key indicator of a team’s offensive efficiency.
- Defensive Rating: This measures how many points a team allows per 100 possessions. It reflects a team’s defensive effectiveness.
- Net Rating: This is the difference between a team’s offensive and defensive ratings. A positive net rating indicates that a team is outscoring its opponents, while a negative rating suggests the opposite.
- Effective Field Goal Percentage (eFG%): This adjusts field goal percentage to account for the fact that three-pointers are worth more than two-pointers. It provides a more accurate measure of shooting efficiency.
- True Shooting Percentage (TS%): As mentioned earlier, this measures a team’s overall shooting efficiency, taking into account field goals, three-pointers, and free throws.
- Rebounding Percentage: This measures the percentage of available rebounds a team secures. It indicates a team’s ability to control the boards.
- Turnover Percentage: This measures the percentage of possessions a team turns over. It reflects a team’s ball-handling and decision-making.
Comparing the Celtics and Rockets
Let’s compare these metrics for the Boston Celtics and the Houston Rockets to understand how they stack up against each other:
| Metric | Boston Celtics | Houston Rockets |
|---|---|---|
| Offensive Rating | 118.0 | 112.0 |
| Defensive Rating | 109.0 | 110.0 |
| Net Rating | 9.0 | 2.0 |
| Effective Field Goal % | 56.0% | 53.0% |
| True Shooting % | 59.0% | 56.0% |
| Rebounding % | 51.0% | 50.0% |
| Turnover % | 12.0% | 13.0% |
Analysis
- Offensive Efficiency: The Celtics have a higher offensive rating (118.0) compared to the Rockets (112.0), indicating that they are more efficient in scoring points per possession.
- Defensive Performance: The Celtics and Rockets have similar defensive ratings, with the Celtics allowing 109.0 points per 100 possessions and the Rockets allowing 110.0.
- Overall Performance: The Celtics have a significantly higher net rating (9.0) compared to the Rockets (2.0), suggesting that they are outperforming their opponents by a wider margin.
- Shooting Efficiency: The Celtics have higher eFG% (56.0%) and TS% (59.0%) compared to the Rockets (53.0% and 56.0%, respectively), indicating that they are more efficient shooters.
- Rebounding: The Celtics have a slightly better rebounding percentage (51.0%) compared to the Rockets (50.0%), suggesting that they are slightly better at controlling the boards.
- Turnovers: The Celtics have a lower turnover percentage (12.0%) compared to the Rockets (13.0%), indicating that they are better at maintaining possession of the ball.
Overall, the Boston Celtics appear to be a more efficient and well-rounded team compared to the Houston Rockets based on these team performance metrics.
6. Head-to-Head Matchups: Celtics vs. Rockets
Analyzing head-to-head matchups between the Boston Celtics and the Houston Rockets can provide valuable insights into how these teams perform against each other. These matchups often highlight specific strengths and weaknesses, and can influence future game strategies.
Historical Performance
Reviewing the historical performance of the Celtics and Rockets reveals trends and patterns in their matchups. Consider the following:
- Overall Record: What is the Celtics’ overall record against the Rockets?
- Recent Games: How have the teams performed in their most recent encounters?
- Home vs. Away: Do the Celtics perform better against the Rockets at home or on the road?
As noted in the original article, Boston last faced off with Houston on Jan. 3, 2025, in a winning effort. Historical data can be found on websites like Basketball-Reference and ESPN, which offer detailed game logs and head-to-head statistics.
Key Player Matchups
Identifying key player matchups is crucial in understanding the dynamics of Celtics vs. Rockets games. For example:
- Jayson Tatum vs. Jalen Green: How does Tatum’s scoring and playmaking match up against Green’s offensive capabilities?
- Kristaps Porzingis vs. Alperen Sengun: How does Porzingis’s inside-outside game compare to Sengun’s interior scoring and rebounding?
Analyzing these matchups can reveal who has the upper hand and how coaches might adjust their strategies to exploit weaknesses or neutralize strengths.
Impact of Matchups on Season Performance
Head-to-head matchups can significantly impact a team’s season performance. Wins against strong opponents like the Rockets can boost a team’s confidence and improve their standing in the conference. Conversely, losses can highlight areas that need improvement.
Example: Analyzing a Recent Game
Let’s analyze a hypothetical recent game between the Celtics and Rockets:
- Date: January 3, 2025
- Score: Celtics 120, Rockets 115
- Key Performances:
- Jayson Tatum: 35 points, 10 rebounds, 7 assists
- Jalen Green: 28 points, 5 rebounds, 4 assists
- Alperen Sengun: 22 points, 12 rebounds, 6 assists
In this game, Jayson Tatum’s outstanding performance led the Celtics to victory. However, Jalen Green and Alperen Sengun also had strong performances, keeping the game competitive. The Celtics’ overall team efficiency and defensive stops proved to be the deciding factors.
By analyzing head-to-head matchups, fans and analysts can gain a deeper understanding of team dynamics and predict future game outcomes.
7. Impact of Coaching Strategies on Team Statistics
Coaching strategies play a pivotal role in shaping team statistics. A coach’s approach to offense, defense, player rotations, and game management can significantly influence a team’s performance metrics.
Offensive Strategies
A coach’s offensive philosophy can determine a team’s scoring output, shooting efficiency, and assist numbers. For example:
- Pace and Space: Coaches who implement a “pace and space” offense emphasize fast breaks, three-point shooting, and ball movement. This can lead to higher PPG, 3P%, and APG.
- Isolation Plays: Coaches who rely on isolation plays often feature a star player who can create their own shot. This can result in high PPG for that player but may decrease overall team assists.
- Motion Offense: A motion offense involves constant player movement, screens, and cuts, which can lead to balanced scoring and high assist numbers.
Defensive Strategies
Defensive strategies are equally important in shaping a team’s defensive rating, rebounding percentage, and steal/block numbers. Examples include:
- Aggressive Defense: Coaches who employ aggressive defensive schemes may prioritize steals and blocks, leading to higher SPG and BPG but potentially increasing fouls.
- Pack the Paint: This strategy focuses on preventing opponents from scoring in the paint, leading to a lower opponent FG% but potentially allowing more open three-point shots.
- Switching Defense: A switching defense involves players switching assignments on screens, which can disrupt the opponent’s offensive flow but requires high levels of communication and coordination.
Player Rotations and Usage
Coaches also influence team statistics through player rotations and usage. How a coach distributes playing time among players can affect individual stats and overall team performance.
- Star Player Usage: Coaches who heavily rely on star players may see higher usage rates and scoring averages for those players.
- Balanced Rotations: Coaches who prefer balanced rotations may distribute playing time more evenly, leading to more consistent team performance.
Example: Impact on Celtics and Rockets
Consider how coaching strategies might impact the Boston Celtics and Houston Rockets:
- Celtics: If the Celtics’ coach emphasizes a balanced offensive approach with contributions from multiple players, the team may see consistent scoring across the board and high assist numbers.
- Rockets: If the Rockets’ coach focuses on developing young players like Jalen Green and Alperen Sengun, they may prioritize playing time for these players, allowing them to improve their individual stats and contribute to the team’s overall performance.
By understanding the impact of coaching strategies on team statistics, fans and analysts can gain a deeper appreciation for the complexities of basketball and how coaches shape their teams’ identities.
8. The Role of Injuries and Player Availability
Injuries and player availability significantly influence team statistics. The absence of key players can disrupt team chemistry, alter offensive and defensive strategies, and ultimately impact overall performance metrics.
Impact on Team Performance
When a key player is sidelined due to injury, the team’s offensive and defensive capabilities can suffer. For example:
- Offensive Output: The absence of a star scorer like Jayson Tatum can reduce a team’s PPG, FG%, and 3P%.
- Defensive Effectiveness: The loss of a key defender can increase a team’s defensive rating, allowing opponents to score more easily.
- Rebounding: Injuries to key rebounders like Alperen Sengun can decrease a team’s rebounding percentage, leading to fewer second-chance opportunities.
Adjusting Strategies
Coaches must adapt their strategies when key players are injured. This may involve:
- Increased Playing Time for Bench Players: Coaches may give more playing time to bench players to fill the void left by injured starters.
- Altering Offensive Schemes: Coaches may adjust their offensive schemes to rely more on other players or emphasize different aspects of the game.
- Focusing on Defense: Coaches may prioritize defense to compensate for a lack of offensive firepower.
Examples: Celtics and Rockets
Consider how injuries might affect the Boston Celtics and Houston Rockets:
- Celtics: If Jayson Tatum were to miss several games due to injury, the Celtics might need to rely more on Kristaps Porzingis and other players to carry the scoring load.
- Rockets: If Alperen Sengun were sidelined, the Rockets might struggle to control the boards and would need other players to step up their rebounding efforts.
Long-Term vs. Short-Term Impact
The impact of injuries can vary depending on the duration of the absence. Short-term injuries may cause temporary setbacks, while long-term injuries can have more significant and lasting effects on a team’s season.
By understanding the role of injuries and player availability, fans and analysts can better appreciate the challenges teams face and how they adapt to adversity.
9. Predicting Future Performance Based on Statistical Trends
Predicting future performance in basketball involves analyzing statistical trends to identify patterns and make informed forecasts. This process combines historical data, current performance metrics, and contextual factors to estimate how teams and players will perform in upcoming games and seasons.
Identifying Key Statistical Trends
To predict future performance, it’s essential to identify key statistical trends. This involves:
- Tracking Season-Long Averages: Monitoring season-long averages for key stats like PPG, RPG, APG, FG%, and 3P% provides a baseline for comparison.
- Analyzing Recent Performance: Evaluating recent performance over the past few games or weeks can reveal whether a player or team is improving, declining, or maintaining consistency.
- Examining Head-to-Head Data: Analyzing head-to-head matchups can provide insights into how teams perform against specific opponents.
Using Advanced Analytics
Advanced analytics can enhance predictive accuracy by incorporating more sophisticated metrics and adjusting for various factors. Examples include:
- Regression Analysis: This statistical technique can be used to identify relationships between different variables and predict future outcomes based on historical data.
- Machine Learning: Machine learning algorithms can analyze large datasets to identify patterns and make predictions about player and team performance.
Considering Contextual Factors
Contextual factors play a crucial role in predicting future performance. These factors include:
- Injuries: Monitoring injuries and player availability is essential for predicting future performance, as the absence of key players can significantly impact team statistics.
- Schedule: The difficulty of a team’s upcoming schedule can influence their performance. Teams facing a challenging schedule may struggle to maintain their season averages.
- Coaching Changes: Coaching changes can lead to shifts in team strategy and player roles, which can impact performance metrics.
Example: Predicting Celtics and Rockets Performance
Let’s consider how statistical trends and contextual factors might be used to predict the future performance of the Boston Celtics and Houston Rockets:
- Celtics: If the Celtics have been consistently scoring above their season average in recent games and have a favorable upcoming schedule, it might be reasonable to predict that they will continue to perform well.
- Rockets: If the Rockets have been struggling defensively and have key players injured, it might be predicted that they will continue to struggle, particularly against strong offensive teams.
By combining statistical trends, advanced analytics, and contextual factors, fans and analysts can make more accurate predictions about future performance in basketball.
10. Conclusion: Leveraging Statistics for a Deeper Understanding of Basketball
Leveraging statistics provides a deeper understanding of basketball, enabling fans, analysts, and coaches to gain valuable insights into player performance, team dynamics, and game strategies. By analyzing key metrics, advanced analytics, and contextual factors, individuals can make more informed judgments and predictions about the sport.
Key Benefits of Using Statistics
- Objective Evaluation: Statistics offer an objective way to evaluate player and team performance, reducing reliance on subjective opinions.
- Identifying Strengths and Weaknesses: Analyzing statistical trends can reveal the strengths and weaknesses of individual players and teams, helping coaches develop effective strategies.
- Predicting Future Performance: Statistical analysis can be used to predict future performance, enabling fans to make informed forecasts and coaches to plan accordingly.
Resources for Further Exploration
To further explore the world of basketball statistics, consider the following resources:
- COMPARE.EDU.VN: For comprehensive comparisons and insights into various aspects of basketball, visit COMPARE.EDU.VN.
- NBA.com: The official NBA website offers up-to-date statistics, game scores, and news.
- ESPN.com: ESPN provides comprehensive coverage of the NBA, including live scores, news, and detailed statistics.
- Basketball-Reference.com: This website is a comprehensive archive of NBA statistics, offering detailed player and team data.
- StatMuse.com: StatMuse allows users to ask statistical questions in natural language, providing quick and easy access to specific data points.
Final Thoughts
By leveraging statistics, fans, analysts, and coaches can gain a deeper appreciation for the complexities of basketball and make more informed decisions about the sport. Whether you’re comparing Jayson Tatum’s stats to those of the Houston Rockets or analyzing team performance metrics, statistics provide valuable insights that can enhance your understanding and enjoyment of the game.
Remember, for detailed and objective comparisons, visit COMPARE.EDU.VN.
FAQ: Frequently Asked Questions About Comparing Basketball Stats
-
What are the most important stats to consider when comparing basketball players?
The most important stats include Points Per Game (PPG), Rebounds Per Game (RPG), Assists Per Game (APG), Field Goal Percentage (FG%), and Three-Point Percentage (3P%). -
How can advanced stats help in evaluating a player’s performance?
Advanced stats like PER, TS%, USG%, and Win Shares provide a more comprehensive view of a player’s efficiency and overall contribution to the team. -
Where can I find reliable NBA statistics?
Reliable sources include NBA.com, ESPN.com, Basketball-Reference.com, and StatMuse.com. -
What is the significance of offensive and defensive ratings?
Offensive rating measures a team’s points scored per 100 possessions, while defensive rating measures points allowed per 100 possessions. These metrics indicate a team’s efficiency on both ends of the court. -
How do coaching strategies impact team statistics?
Coaching strategies influence offensive and defensive schemes, player rotations, and overall team performance, which directly affect team statistics. -
What role do injuries play in team performance?
Injuries can disrupt team chemistry and alter strategies, impacting offensive output, defensive effectiveness, and overall performance metrics. -
How can I use statistical trends to predict future performance?
By tracking season-long averages, analyzing recent performance, and examining head-to-head data, you can identify trends and make informed predictions about future performance. -
What is a good Player Efficiency Rating (PER)?
The league average PER is 15.00. A PER above 20.0 is generally considered excellent, while a PER above 25.0 is considered elite. -
How does True Shooting Percentage (TS%) differ from Field Goal Percentage (FG%)?
TS% accounts for the value of three-pointers and free throws, providing a more accurate measure of shooting efficiency compared to FG%. -
Why is it important to consider contextual factors when analyzing basketball stats?
Contextual factors like injuries, schedule, and coaching changes can significantly influence player and team performance, so considering these factors provides a more complete analysis.
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