Published: April 18, 2021
Updated: February 22, 2026 at 05:18PM
Welcome
Welcome to my basketball season data analysis. This page presents interactive visualizations and detailed data tables capturing team and player performance throughout the National Basketball Association (NBA) season. You can explore cumulative wins, point differentials, scoring trends, and advanced player metrics such as effective field goal percentage, player efficiency, and assist-to-turnover ratios. The charts and tables highlight team momentum, offensive and defensive balance, and individual contributions, providing a clear picture of which teams and players are excelling across the season.
All data are sourced from Basketball Reference and updated daily during the regular season, allowing you to monitor performance as the year progresses. Whether you’re a fan, analyst, or fantasy basketball player, these visualizations offer an accessible, data-driven perspective on NBA competition. I hope you find these visualizations and data tables helpful in understanding the current NBA season. Thank you for visiting the page.
Executive Summary1
NBA Season Analysis: Briefing for February 22, 2026
As the NBA season advances into its later stages, team performance data reveal distinct tiers emerging across the league. At the top, the Oklahoma City Thunder (43 wins), Detroit Pistons (42 wins), and San Antonio Spurs (40 wins) have established a clear separation from the rest of the field. These teams have consistently accumulated victories throughout the season, a trend that began as early as November. The middle of the league standings remains densely packed, with 19 teams holding between 24 and 37 wins. At the bottom, a group of teams have struggled to maintain pace; the Sacramento Kings (12 wins), Brooklyn Nets (15 wins), and Indiana Pacers (15 wins) have each secured 15 or fewer victories to date.
One of the most notable patterns is the dominant and well-rounded performance of the Oklahoma City Thunder. Their league-leading 43 wins (a 75% win percentage) are supported by an exceptional point differential. The Thunder have a median point differential of +12, which is substantially higher than the next-closest contenders, the Pistons and Spurs, who both sit at +7. This suggests that Oklahoma City’s victories have been consistently decisive. Their success appears to be built on proficiency at both ends of the court, as they pair a high-powered offense that scores a median of 121 points with a defense that allows a median of just 108 points, one of the best marks in the league.
In stark contrast, a second notable trend is the recent and prolonged downturn for the Dallas Mavericks and Sacramento Kings. An analysis of cumulative wins shows that neither franchise has recorded a victory since February 3, a span of nearly three weeks. The Mavericks have remained at 19 wins, while the Kings have been stalled at 12. This period of stagnation is particularly striking when compared to the trajectory of teams like the New York Knicks, who added six wins between January 23 and February 3 alone. This pattern may indicate underlying performance issues for Dallas and Sacramento that have become more pronounced in recent weeks.
Beyond the win column, team statistics reveal different strategic compositions. For example, the Boston Celtics have achieved their 36 wins primarily through defensive strength, holding opponents to a median of 108 points, tied for the best in the league. Conversely, the Denver Nuggets rely on a potent offense that scores a league-high median of 122 points, though their defense is more average, allowing 115 points. The data also highlight how imbalance can be detrimental; the Utah Jazz score a high median of 119 points but have won only 32% of their games, a record that may reflect their league-worst defense, which concedes a median of 126 points per contest.
At the individual level, a mix of established stars and emerging talent populate the statistical leaderboards. Luka Dončić of the Los Angeles Lakers leads all scorers with 33.0 points per game, while the Oklahoma City Thunder’s Shai Gilgeous-Alexander is close behind at 31.8 points. Nikola Jokić of the Denver Nuggets continues to display all-around excellence, leading the league in assists (10.5 per game) while ranking in the top ten for both points (28.6) and total rebounds (12.3). On defense, San Antonio’s Victor Wembanyama is the premier shot-blocker with 2.7 blocks per game. It is important to note that some rate-based leaderboards, like field goal percentage, can be skewed by players with low shot volumes, requiring further context for a complete picture of efficiency.
Cumulative Wins
This figure presents cumulative wins by National Basketball Association (NBA) team during the current season. Each panel corresponds to a single team, with the x-axis representing the progression of the season by date and the y-axis showing the total number of wins accumulated to date. This display helps illustrate how quickly teams have been winning games relative to one another and provides a clear view of momentum, slumps, or sustained success over time. Because the plot updates automatically as new data become available, it reflects each team’s current position in the season at the time of the most recent refresh.
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Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Points Scored vs. Points Allowed
This figure plots points scored against points allowed for each National Basketball Association (NBA) team during the current season. Each panel corresponds to a single team, with individual points representing games. Points above the diagonal dashed line indicate games in which the team scored more points than it allowed (wins), while points below the line indicate losses. Points are colored according to game outcome to distinguish between wins and losses. Teams with a larger number of points above the line tend to outscore their opponents more consistently, reflecting stronger overall offensive and defensive performance. The figure provides a visual summary of each team’s scoring efficiency and defensive strength across all games to date.
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Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Point Differentials
Histograms
This figure displays histograms of game-level point differentials for each National Basketball Association (NBA) team during the current season. Each bar represents the number of games with a given scoring margin, using a bin width of five points. Positive differentials correspond to wins, while negative values correspond to losses. Bars are colored according to game outcome, distinguishing victories from defeats. Teams whose histograms are skewed to the right tend to win by larger margins or more frequently, reflecting stronger performance and offensive dominance. In contrast, teams with distributions clustered near zero or skewed to the left tend to play in closer or less favorable contests. This visualization provides a clear snapshot of each team’s competitiveness, consistency, and margin of victory throughout the season.
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Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Trends
This figure presents game-by-game point differentials for each National Basketball Association (NBA) team throughout the current season. Each vertical bar represents a single game, with its height showing the margin of victory or defeat — positive values for wins and negative values for losses. Bars are colored green for wins and red for losses. The plot provides a visual timeline of each team’s season, highlighting streaks of dominance, close contests, and periods of inconsistency. Teams with consistently tall positive bars tend to win decisively or maintain strong offensive and defensive balance, while those with frequent negative or alternating bars exhibit more erratic outcomes. By visualizing game results in sequence, the chart offers a clear picture of momentum shifts, performance stability, and overall competitiveness over time.
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Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Player Statistics
Per-Game Stats
This table summarizes individual performance statistics for all National Basketball Association (NBA) players who have appeared in at least 10 games during the current season. It provides a comprehensive overview of offensive and defensive contributions across multiple dimensions of play. Core indicators such as games played (G), games started (GS), and minutes per game (MP) establish each player’s level of participation and role within their team. Scoring efficiency is reflected through field goal (FG%), three-point (3P%), two-point (2P%), and free throw (FT%) percentages, along with related per-game averages for made and attempted shots.
Rebounding and playmaking statistics—offensive rebounds (ORB), defensive rebounds (DRB), total rebounds (TRB), and assists (AST)—capture control of possession and ball distribution, while defensive metrics such as steals (STL) and blocks (BLK) reflect individual defensive impact. Turnovers (TOV) and personal fouls (PF) provide additional context on possession management and defensive discipline. Points per game (PTS) serve as a key summary measure of scoring productivity.
Together, these statistics offer a balanced portrait of player performance across offensive efficiency, defensive activity, and overall on-court effectiveness. Awards and recognitions are included where applicable, highlighting standout achievements during the season.
Note: Table displays rows only for players who played in at least 10 games.
Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
G – Games
GS – Games Started
MP – Minutes Played Per Game
PTS – Points Per Game
FG – Field Goals Per Game
FGA – Field Goal Attempts Per Game
FG% – Field Goal Percentage
3P – 3-Point Field Goals Per Game
3PA – 3-Point Field Goal Attempts Per Game
3P% – 3-Point Field Goal Percentage
2P – 2-Point Field Goals Per Game
2PA – 2-Point Field Goal Attempts Per Game
2P% – 2-Point Field Goal Percentage
eFG% – Effective Field Goal Percentage
FT – Free Throws Per Game
FTA – Free Throw Attempts Per Game
FT% – Free Throw Percentage
ORB – Offensive Rebounds Per Game
DRB – Defensive Rebounds Per Game
TRB – Total Rebounds Per Game
AST – Assists Per Game
STL – Steals Per Game
BLK – Blocks Per Game
TOV – Turnovers Per Game
PF – Personal Fouls Per Game
Distributions and Leaders in Selected Statistics
Games
This figure shows the distribution of games played among all eligible NBA players during the current season. Each bar represents the number of players who have appeared in a given range of total games. The accompanying table lists the ten players who have appeared in the most games to date. Together, these displays highlight variation in player availability and durability across the league, providing insight into who has remained consistently active throughout the season. The outputs update automatically as new games are played.
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| League-wide Leaders: Games | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:18 PM |
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| Rank | Player | Team | Position | G |
|---|---|---|---|---|
| 1 | DeMar DeRozan | Sacramento Kings | PF | 58 |
| 2 | Jeremiah Fears | New Orleans Pelicans | PG | 58 |
| 3 | Julius Randle | Minnesota Timberwolves | PF | 57 |
| 4 | Mikal Bridges | New York Knicks | SF | 57 |
| 5 | Matas Buzelis | Chicago Bulls | PF | 57 |
| 6 | Naz Reid | Minnesota Timberwolves | C | 57 |
| 7 | Toumani Camara | Portland Trail Blazers | PF | 57 |
| 8 | Donte DiVincenzo | Minnesota Timberwolves | SG | 57 |
| 9 | Derik Queen | New Orleans Pelicans | C | 57 |
| 10 | Royce O'Neale | Phoenix Suns | SF | 57 |
| 11 | Jay Huff | Indiana Pacers | C | 57 |
| 12 | Bruce Brown | Denver Nuggets | SG | 57 |
| 13 | Dru Smith | Miami Heat | SG | 57 |
| 14 | Oso Ighodaro | Phoenix Suns | PF | 57 |
| 15 | Sion James | Charlotte Hornets | SG | 57 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Minutes Played Per Game
This figure displays the distribution of average minutes played per game among all eligible NBA players during the current season. Each bar corresponds to the number of players whose average playing time falls within a specific range. The accompanying table lists the ten players averaging the most minutes per game. These outputs provide perspective on workload and rotation patterns across the league—players with higher values typically serve as core contributors who spend the most time on the court. The visual updates automatically as new game data become available.
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| League-wide Leaders: Minutes Played Per Game | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | MP |
|---|---|---|---|---|
| 1 | Tyrese Maxey | Philadelphia 76ers | PG | 38.6 |
| 2 | Amen Thompson | Houston Rockets | PG | 37.3 |
| 3 | Kevin Durant | Houston Rockets | SF | 36.7 |
| 4 | Jalen Johnson | Atlanta Hawks | SF | 35.7 |
| 5 | Keegan Murray | Sacramento Kings | PF | 35.7 |
| 6 | Luka Dončić | Los Angeles Lakers | PG | 35.6 |
| 7 | Trey Murphy III | New Orleans Pelicans | SF | 35.6 |
| 8 | Anthony Edwards | Minnesota Timberwolves | SG | 35.5 |
| 9 | Jamal Murray | Denver Nuggets | PG | 35.4 |
| 10 | James Harden | Los Angeles Clippers | PG | 35.4 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Points Per Game
This figure presents the distribution of points per game among all eligible NBA players during the current season. Each bar represents the number of players averaging a given scoring range. The accompanying table lists the ten players with the highest scoring averages. Together, these visuals illustrate league-wide scoring dynamics and distinguish the season’s most prolific scorers from players with more moderate offensive output. The figure and table refresh automatically as new games are played.
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| League-wide Leaders: Points Per Game | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | PTS |
|---|---|---|---|---|
| 1 | Luka Dončić | Los Angeles Lakers | PG | 33.0 |
| 2 | Shai Gilgeous-Alexander | Oklahoma City Thunder | PG | 31.8 |
| 3 | Anthony Edwards | Minnesota Timberwolves | SG | 29.5 |
| 4 | Jaylen Brown | Boston Celtics | SF | 29.2 |
| 5 | Tyrese Maxey | Philadelphia 76ers | PG | 28.9 |
| 6 | Donovan Mitchell | Cleveland Cavaliers | SG | 28.8 |
| 7 | Nikola Jokić | Denver Nuggets | C | 28.6 |
| 8 | Giannis Antetokounmpo | Milwaukee Bucks | PF | 28.0 |
| 9 | Kawhi Leonard | Los Angeles Clippers | SF | 27.8 |
| 10 | Stephen Curry | Golden State Warriors | PG | 27.2 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Field Goal Percentage
This figure shows the distribution of field goal percentage among all eligible NBA players during the current season. Each bar represents the number of players whose shooting accuracy falls within a given percentage range. The accompanying table lists the ten players with the highest field goal percentages. Together, these outputs offer a league-wide view of shooting efficiency, helping to identify players who convert scoring opportunities at the most consistent rates. The displays update automatically as new game data are incorporated.
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| League-wide Leaders: Field Goal Percentage | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | FG% |
|---|---|---|---|---|
| 1 | Jericho Sims | Milwaukee Bucks | C | 0.825 |
| 2 | Jaxson Hayes | Los Angeles Lakers | C | 0.773 |
| 3 | Ryan Kalkbrenner | Charlotte Hornets | C | 0.758 |
| 4 | Mason Plumlee | Charlotte Hornets | C | 0.750 |
| 5 | Robert Williams | Portland Trail Blazers | C | 0.748 |
| 6 | Rudy Gobert | Minnesota Timberwolves | C | 0.706 |
| 7 | Goga Bitadze | Orlando Magic | C | 0.691 |
| 8 | Jakob Poeltl | Toronto Raptors | C | 0.689 |
| 9 | Mitchell Robinson | New York Knicks | C | 0.688 |
| 10 | Yanic Konan Niederhäuser | Los Angeles Clippers | C | 0.675 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
3-Point Field Goals Per Game
This figure presents the distribution of average three-point field goals made per game among all eligible NBA players during the current season. Each bar corresponds to the number of players averaging a given range of made three-pointers per game. The accompanying table lists the ten players who make the most three-point shots on average. These displays highlight league-wide variation in long-range scoring output and identify players who contribute most heavily from beyond the arc. The figure and table refresh automatically as new data become available.
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| League-wide Leaders: 3-Point Field Goals Per Game | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | 3P |
|---|---|---|---|---|
| 1 | Stephen Curry | Golden State Warriors | PG | 4.5 |
| 2 | Luka Dončić | Los Angeles Lakers | PG | 3.7 |
| 3 | Donovan Mitchell | Cleveland Cavaliers | SG | 3.6 |
| 4 | Michael Porter Jr. | Brooklyn Nets | SF | 3.5 |
| 5 | Anthony Edwards | Minnesota Timberwolves | SG | 3.4 |
| 6 | LaMelo Ball | Charlotte Hornets | PG | 3.4 |
| 7 | Kon Knueppel | Charlotte Hornets | SF | 3.4 |
| 8 | Grayson Allen | Phoenix Suns | SG | 3.4 |
| 9 | Sam Merrill | Cleveland Cavaliers | SG | 3.4 |
| 10 | Tyrese Maxey | Philadelphia 76ers | PG | 3.3 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
3-Point Field Goal Percentage
This figure displays the distribution of three-point field goal percentage among all eligible NBA players during the current season. Each bar represents the number of players whose accuracy from beyond the arc falls within the corresponding percentage range. The accompanying table lists the ten players with the highest three-point shooting percentages. Together, these visuals capture the range of long-distance shooting efficiency across the league and spotlight the most accurate perimeter shooters. The outputs update automatically as new games are played.
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| League-wide Leaders: Three Point Percentage | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | 3P% |
|---|---|---|---|---|
| 1 | Mark Williams | Phoenix Suns | C | 1.000 |
| 2 | Jaxson Hayes | Los Angeles Lakers | C | 1.000 |
| 3 | PJ Hall | Charlotte Hornets | C | 1.000 |
| 4 | Trayce Jackson-Davis | NA | C | 1.000 |
| 5 | Trayce Jackson-Davis | Golden State Warriors | C | 1.000 |
| 6 | Kyle Anderson | NA | SF | 0.667 |
| 7 | Kyle Anderson | Utah Jazz | SF | 0.600 |
| 8 | PJ Hall | NA | C | 0.600 |
| 9 | David Jones García | San Antonio Spurs | SF | 0.600 |
| 10 | Pete Nance | Milwaukee Bucks | PF | 0.532 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Free Throw Percentage
This figure shows the distribution of free throw percentage among all eligible NBA players during the current season. Each bar represents the number of players whose free throw accuracy falls within a given percentage range. The accompanying table lists the ten players with the highest free throw percentages. These outputs provide a league-wide view of efficiency at the foul line—an important indicator of scoring reliability in high-pressure situations. The figure and table refresh automatically as new data become available.
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| League-wide Leaders: Free Throw Percentage | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | FT% |
|---|---|---|---|---|
| 1 | Jevon Carter | NA | PG | 1 |
| 2 | Jevon Carter | Chicago Bulls | PG | 1 |
| 3 | Ousmane Dieng | Oklahoma City Thunder | C | 1 |
| 4 | Doug McDermott | Sacramento Kings | SF | 1 |
| 5 | A.J. Lawson | Toronto Raptors | SG | 1 |
| 6 | Tyus Jones | NA | PG | 1 |
| 7 | Tyus Jones | Orlando Magic | PG | 1 |
| 8 | Dorian Finney-Smith | Houston Rockets | PF | 1 |
| 9 | Chaz Lanier | Detroit Pistons | SG | 1 |
| 10 | Jeff Green | Houston Rockets | PF | 1 |
| 11 | Caleb Houstan | Atlanta Hawks | SF | 1 |
| 12 | Luke Travers | Cleveland Cavaliers | SG | 1 |
| 13 | Lindy Waters III | San Antonio Spurs | SG | 1 |
| 14 | Javonte Cooke | Portland Trail Blazers | SG | 1 |
| 15 | Trey Jemison | New York Knicks | C | 1 |
| 16 | Pacome Dadiet | New York Knicks | SG | 1 |
| 17 | Joe Ingles | Minnesota Timberwolves | SF | 1 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Total Rebounds Per Game
This figure displays the distribution of total rebounds per game among all eligible NBA players during the current season. Each bar represents the number of players whose average total rebounds fall within the corresponding range. The accompanying table lists the ten players with the highest rebounding averages. Together, these visuals highlight the variation in rebounding ability across the league and identify players who consistently secure possession on missed shots. The outputs refresh automatically as new data are added.
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| League-wide Leaders: Total Rebounds Per Game | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | TRB |
|---|---|---|---|---|
| 1 | Nikola Jokić | Denver Nuggets | C | 12.3 |
| 2 | Karl-Anthony Towns | New York Knicks | C | 11.8 |
| 3 | Domantas Sabonis | Sacramento Kings | C | 11.4 |
| 4 | Donovan Clingan | Portland Trail Blazers | C | 11.4 |
| 5 | Rudy Gobert | Minnesota Timberwolves | C | 11.3 |
| 6 | Victor Wembanyama | San Antonio Spurs | C | 11.2 |
| 7 | Anthony Davis | Dallas Mavericks | PF | 11.1 |
| 8 | Zach Edey | Memphis Grizzlies | C | 11.1 |
| 9 | Ivica Zubac | Los Angeles Clippers | C | 11.0 |
| 10 | Jalen Johnson | Atlanta Hawks | SF | 10.7 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Assists Per Game
This figure presents the distribution of assists per game among all eligible NBA players during the current season. Each bar corresponds to the number of players averaging a given range of assists per game. The accompanying table lists the ten players who record the most assists on average. These outputs illustrate league-wide playmaking tendencies and highlight players who most effectively facilitate scoring opportunities for teammates. The figure and table update automatically as new games are recorded.
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| League-wide Leaders: Assists Per Game | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | AST |
|---|---|---|---|---|
| 1 | Nikola Jokić | Denver Nuggets | C | 10.5 |
| 2 | Cade Cunningham | Detroit Pistons | PG | 9.8 |
| 3 | Trae Young | Atlanta Hawks | PG | 8.9 |
| 4 | Luka Dončić | Los Angeles Lakers | PG | 8.6 |
| 5 | Josh Giddey | Chicago Bulls | PG | 8.5 |
| 6 | James Harden | NA | PG | 8.2 |
| 7 | Jalen Johnson | Atlanta Hawks | SF | 8.2 |
| 8 | James Harden | Los Angeles Clippers | PG | 8.1 |
| 9 | Ja Morant | Memphis Grizzlies | PG | 8.1 |
| 10 | Jamal Murray | Denver Nuggets | PG | 7.6 |
| 11 | Kevin Porter Jr. | Milwaukee Bucks | PG | 7.6 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Steals Per Game
This figure shows the distribution of steals per game among all eligible NBA players during the current season. Each bar indicates how many players average a given number of steals per game. The accompanying table lists the ten players with the highest steal averages. Together, these outputs provide a snapshot of defensive activity across the league and spotlight players who most frequently disrupt opponents’ possessions. The displays refresh automatically as new game data become available.
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| League-wide Leaders: Steals Per Game | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | STL |
|---|---|---|---|---|
| 1 | Kevin Porter Jr. | Milwaukee Bucks | PG | 2.2 |
| 2 | Cason Wallace | Oklahoma City Thunder | SG | 2.1 |
| 3 | Tyrese Maxey | Philadelphia 76ers | PG | 2.0 |
| 4 | Kawhi Leonard | Los Angeles Clippers | SF | 2.0 |
| 5 | Jalen Suggs | Orlando Magic | PG | 1.9 |
| 6 | Ausar Thompson | Detroit Pistons | SF | 1.9 |
| 7 | Dyson Daniels | Atlanta Hawks | SG | 1.8 |
| 8 | OG Anunoby | New York Knicks | PF | 1.7 |
| 9 | De'Anthony Melton | Golden State Warriors | PG | 1.6 |
| 10 | Luka Dončić | Los Angeles Lakers | PG | 1.5 |
| 11 | Donovan Mitchell | Cleveland Cavaliers | SG | 1.5 |
| 12 | Trey Murphy III | New Orleans Pelicans | SF | 1.5 |
| 13 | Amen Thompson | Houston Rockets | PG | 1.5 |
| 14 | Ryan Rollins | Milwaukee Bucks | PG | 1.5 |
| 15 | Paul George | Philadelphia 76ers | PF | 1.5 |
| 16 | Bilal Coulibaly | Washington Wizards | SG | 1.5 |
| 17 | Herbert Jones | New Orleans Pelicans | SF | 1.5 |
| 18 | Jordan Goodwin | Phoenix Suns | PG | 1.5 |
| 19 | Kris Dunn | Los Angeles Clippers | PG | 1.5 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Blocks Per Game
This figure displays the distribution of blocks per game among all eligible NBA players during the current season. Each bar represents the number of players whose average shot-blocking totals fall within the corresponding range. The accompanying table lists the ten players with the highest block averages. Together, these visuals show league-wide patterns in rim protection and highlight players who most effectively deter opponents’ shots near the basket. The figure and table update automatically as new data are incorporated.
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| League-wide Leaders: Blocks Per Game | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | BLK |
|---|---|---|---|---|
| 1 | Victor Wembanyama | San Antonio Spurs | C | 2.7 |
| 2 | Alex Sarr | Washington Wizards | C | 2.0 |
| 3 | Evan Mobley | Cleveland Cavaliers | PF | 1.9 |
| 4 | Chet Holmgren | Oklahoma City Thunder | PF | 1.9 |
| 5 | Zach Edey | Memphis Grizzlies | C | 1.9 |
| 6 | Jay Huff | Indiana Pacers | C | 1.9 |
| 7 | Anthony Davis | Dallas Mavericks | PF | 1.7 |
| 8 | Myles Turner | Milwaukee Bucks | C | 1.7 |
| 9 | Isaiah Stewart | Detroit Pistons | C | 1.7 |
| 10 | Scottie Barnes | Toronto Raptors | PF | 1.6 |
| 11 | Rudy Gobert | Minnesota Timberwolves | C | 1.6 |
| 12 | Dylan Cardwell | Sacramento Kings | C | 1.6 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Turnovers Per Game
This figure presents the distribution of turnovers per game among all eligible NBA players during the current season. Each bar represents the number of players who commit turnovers within a given per-game range. The accompanying table lists the ten players with the highest turnover averages. These outputs provide a league-wide view of ball security, highlighting how frequently players lose possession and how turnover tendencies vary by role or playing style. The displays refresh automatically as new games are played.
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| League-wide Leaders: Turnovers Per Game | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | TOV |
|---|---|---|---|---|
| 1 | Luka Dončić | Los Angeles Lakers | PG | 4.2 |
| 2 | Deni Avdija | Portland Trail Blazers | SF | 3.9 |
| 3 | Nikola Jokić | Denver Nuggets | C | 3.7 |
| 4 | Cade Cunningham | Detroit Pistons | PG | 3.7 |
| 5 | James Harden | Los Angeles Clippers | PG | 3.7 |
| 6 | Jaylen Brown | Boston Celtics | SF | 3.6 |
| 7 | James Harden | NA | PG | 3.6 |
| 8 | Ja Morant | Memphis Grizzlies | PG | 3.6 |
| 9 | Josh Giddey | Chicago Bulls | PG | 3.6 |
| 10 | Jalen Johnson | Atlanta Hawks | SF | 3.4 |
| 11 | Russell Westbrook | Sacramento Kings | SF | 3.4 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Personal Fouls Per Game
This figure shows the distribution of personal fouls per game among all eligible NBA players during the current season. Each bar indicates the number of players whose average foul rate falls within the corresponding range. The accompanying table lists the ten players with the highest averages of personal fouls per game. Together, these visuals depict how frequently players commit fouls across the league and provide insight into defensive aggressiveness and discipline. The outputs update automatically as new data are recorded.
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| League-wide Leaders: Personal Fouls Per Game | ||||
| 2025-2026 Season Data as of February 22, 2026 at 05:19 PM |
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| Rank | Player | Team | Position | PF |
|---|---|---|---|---|
| 1 | Jaren Jackson Jr. | Memphis Grizzlies | C | 3.8 |
| 2 | Jaren Jackson Jr. | NA | C | 3.7 |
| 3 | Kyshawn George | Washington Wizards | SF | 3.7 |
| 4 | Dylan Cardwell | Sacramento Kings | C | 3.7 |
| 5 | Wendell Carter Jr. | Orlando Magic | C | 3.6 |
| 6 | Karl-Anthony Towns | New York Knicks | C | 3.5 |
| 7 | Onyeka Okongwu | Atlanta Hawks | C | 3.5 |
| 8 | Domantas Sabonis | Sacramento Kings | C | 3.5 |
| 9 | Stephon Castle | San Antonio Spurs | PG | 3.4 |
| 10 | Zach Edey | Memphis Grizzlies | C | 3.4 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
This executive summary was generated by an AI summarizer agent and reviewed by an editor agent. I review any summaries flagged for revision.↩︎