Published: April 18, 2021
Updated: November 26, 2025 at 06:54PM
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
Data from the initial month of the 2025-26 NBA season reveals distinct tiers of team performance and individual production. Approximately 15 to 19 games into the schedule for most teams, the standings show a wide distribution of success. Two patterns are particularly notable at this early stage: the statistical dominance of the Oklahoma City Thunder, who have separated themselves from the rest of the league, and the exceptionally high-usage role of Luka Dončić for the Los Angeles Lakers, reflected across multiple statistical categories. These early trends provide a quantitative snapshot of team efficiency and player contributions that will continue to develop as the season progresses.
The Oklahoma City Thunder have established a commanding position, holding the league’s best record at 17 wins and 1 loss (a 94% win percentage). Their performance is supported by a median point differential of +17, the highest in the league. This differential is the product of both an efficient offense and a restrictive defense; the Thunder are scoring a median of 123.5 points per game while allowing only 101.5 points. This balance suggests a consistent ability to control games on both ends of the floor. For context, the team with the second-best record, the Detroit Pistons (15-2), has a median point differential of +8, a substantial gap that underscores the Thunder’s early-season control.
At the individual level, Luka Dončić of the Los Angeles Lakers is demonstrating a high-usage, multi-faceted role. He currently ranks near the top of the league in points (35.2), assists (9.2), and steals (1.9). This statistical output, coupled with his high volume of field goal attempts (23.1 per game, 10th in the NBA) and free throw attempts (12.4, 10th), may reflect his central function in the Lakers’ offense. His production extends to rebounding, where he is fifth in defensive rebounds per game (7.9). However, this high level of involvement is also associated with a high turnover rate (4.2 per game), which is among the ten highest in the league.
Beyond the league leaders, several teams exhibit noteworthy statistical profiles. The Chicago Bulls (9-8 record) and Golden State Warriors (10-9 record) both possess a median point differential of just +1, suggesting their games have been consistently close regardless of the outcome. This contrasts sharply with teams at the bottom of the standings. The Washington Wizards (2-15 record) have a median point differential of -17, which could indicate they have been uncompetitive in a majority of their contests. Such disparities in point differential often provide a more predictive measure of a team’s underlying strength than their win-loss record alone, especially early in the season.
Analysis of individual player leaderboards requires careful consideration of sample size, particularly in efficiency metrics. Many players listed with perfect or near-perfect shooting percentages (e.g., 1.000 in 2P% or 3P%) have typically taken a very small number of shots, making their rates statistically unreliable and not indicative of their true shooting ability. For example, a player with a 1.000 3P% may have only attempted one or two three-point shots all season. This context is crucial for interpreting leaderboards, which, at this stage, can be skewed by players with limited playing time. More stable trends will likely emerge as players accumulate a larger volume of attempts.
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.
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.
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.
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.
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 9 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 9 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.
| League-wide Leaders: Games | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
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| Rank | Player | Team | Position | G |
|---|---|---|---|---|
| 1 | Franz Wagner | Orlando Magic | SF | 19 |
| 2 | Desmond Bane | Orlando Magic | SG | 19 |
| 3 | Anthony Black | Orlando Magic | PG | 19 |
| 4 | Max Christie | Dallas Mavericks | SG | 19 |
| 5 | Brandin Podziemski | Golden State Warriors | SG | 19 |
| 6 | Naji Marshall | Dallas Mavericks | SF | 19 |
| 7 | Tristan Da Silva | Orlando Magic | SF | 19 |
| 8 | Dyson Daniels | Atlanta Hawks | SG | 19 |
| 9 | Buddy Hield | Golden State Warriors | SG | 19 |
| 10 | Quinten Post | Golden State Warriors | PF | 19 |
| 11 | Mouhamed Gueye | Atlanta Hawks | PF | 19 |
| 12 | Tyus Jones | Orlando Magic | PG | 19 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Minutes Played Per Game | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
||||
| Rank | Player | Team | Position | MP |
|---|---|---|---|---|
| 1 | Tyrese Maxey | Philadelphia 76ers | PG | 39.9 |
| 2 | VJ Edgecombe | Philadelphia 76ers | SG | 37.3 |
| 3 | Luka Dončić | Los Angeles Lakers | PG | 37.2 |
| 4 | Alperen Şengün | Houston Rockets | C | 36.7 |
| 5 | Amen Thompson | Houston Rockets | SF | 36.5 |
| 6 | Cade Cunningham | Detroit Pistons | PG | 36.4 |
| 7 | Austin Reaves | Los Angeles Lakers | SG | 36.3 |
| 8 | Kevin Durant | Houston Rockets | SF | 36.1 |
| 9 | Lauri Markkanen | Utah Jazz | PF | 35.6 |
| 10 | James Harden | Los Angeles Clippers | PG | 35.6 |
| 11 | Devin Booker | Phoenix Suns | SG | 35.6 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Points Per Game | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
||||
| Rank | Player | Team | Position | PTS |
|---|---|---|---|---|
| 1 | Luka Dončić | Los Angeles Lakers | PG | 35.2 |
| 2 | Shai Gilgeous-Alexander | Oklahoma City Thunder | PG | 32.2 |
| 3 | Tyrese Maxey | Philadelphia 76ers | PG | 32.2 |
| 4 | Giannis Antetokounmpo | Milwaukee Bucks | PF | 31.2 |
| 5 | Donovan Mitchell | Cleveland Cavaliers | SG | 29.9 |
| 6 | Nikola Jokić | Denver Nuggets | C | 29.6 |
| 7 | Stephen Curry | Golden State Warriors | PG | 28.8 |
| 8 | Lauri Markkanen | Utah Jazz | PF | 28.5 |
| 9 | Jalen Brunson | New York Knicks | PG | 28.3 |
| 10 | Jaylen Brown | Boston Celtics | SF | 27.9 |
| 11 | James Harden | Los Angeles Clippers | PG | 27.9 |
| 12 | Austin Reaves | Los Angeles Lakers | SG | 27.9 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Field Goal Percentage | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
||||
| Rank | Player | Team | Position | FG% |
|---|---|---|---|---|
| 1 | Ryan Kalkbrenner | Charlotte Hornets | C | 0.803 |
| 2 | Luke Kornet | San Antonio Spurs | C | 0.769 |
| 3 | Jericho Sims | Milwaukee Bucks | C | 0.750 |
| 4 | Jakob Poeltl | Toronto Raptors | C | 0.738 |
| 5 | Rudy Gobert | Minnesota Timberwolves | C | 0.733 |
| 6 | Jaxson Hayes | Los Angeles Lakers | C | 0.727 |
| 7 | Joan Beringer | Minnesota Timberwolves | PF | 0.727 |
| 8 | Yanic Konan Niederhauser | Los Angeles Clippers | C | 0.714 |
| 9 | Goga Bitadze | Orlando Magic | C | 0.710 |
| 10 | Karlo Matković | New Orleans Pelicans | PF | 0.703 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: 3-Point Field Goals Per Game | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
||||
| Rank | Player | Team | Position | 3P |
|---|---|---|---|---|
| 1 | Stephen Curry | Golden State Warriors | PG | 4.9 |
| 2 | Tyrese Maxey | Philadelphia 76ers | PG | 3.9 |
| 3 | Donovan Mitchell | Cleveland Cavaliers | SG | 3.9 |
| 4 | Grayson Allen | Phoenix Suns | SG | 3.9 |
| 5 | James Harden | Los Angeles Clippers | PG | 3.8 |
| 6 | Luka Dončić | Los Angeles Lakers | PG | 3.7 |
| 7 | Kon Knueppel | Charlotte Hornets | SF | 3.7 |
| 8 | Sam Merrill | Cleveland Cavaliers | SG | 3.7 |
| 9 | Lauri Markkanen | Utah Jazz | PF | 3.4 |
| 10 | Anthony Edwards | Minnesota Timberwolves | SG | 3.2 |
| 11 | Norman Powell | Miami Heat | SG | 3.2 |
| 12 | Isaiah Joe | Oklahoma City Thunder | SG | 3.2 |
| 13 | Royce O'Neale | Phoenix Suns | SF | 3.2 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Three Point Percentage | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
||||
| Rank | Player | Team | Position | 3P% |
|---|---|---|---|---|
| 1 | Jaxson Hayes | Los Angeles Lakers | C | 1.000 |
| 2 | Noah Penda | Orlando Magic | SF | 0.714 |
| 3 | Jamison Battle | Toronto Raptors | SF | 0.647 |
| 4 | Baylor Scheierman | Boston Celtics | SG | 0.526 |
| 5 | Duop Reath | Portland Trail Blazers | C | 0.519 |
| 6 | Tari Eason | Houston Rockets | PF | 0.509 |
| 7 | Giannis Antetokounmpo | Milwaukee Bucks | PF | 0.500 |
| 8 | Bobby Portis | Milwaukee Bucks | PF | 0.500 |
| 9 | Marvin Bagley III | Washington Wizards | PF | 0.500 |
| 10 | Collin Murray-Boyles | Toronto Raptors | PF | 0.500 |
| 11 | Paul Reed | Detroit Pistons | C | 0.500 |
| 12 | Drew Eubanks | Sacramento Kings | C | 0.500 |
| 13 | Hugo González | Boston Celtics | SF | 0.500 |
| 14 | Brooks Barnhizer | Oklahoma City Thunder | SG | 0.500 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Free Throw Percentage | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
||||
| Rank | Player | Team | Position | FT% |
|---|---|---|---|---|
| 1 | Klay Thompson | Dallas Mavericks | SF | 1 |
| 2 | Justin Edwards | Philadelphia 76ers | SF | 1 |
| 3 | Jett Howard | Orlando Magic | SF | 1 |
| 4 | Al Horford | Golden State Warriors | C | 1 |
| 5 | Walter Clayton | Utah Jazz | PG | 1 |
| 6 | Nicolas Batum | Los Angeles Clippers | PF | 1 |
| 7 | Jamison Battle | Toronto Raptors | SF | 1 |
| 8 | Chaz Lanier | Detroit Pistons | SG | 1 |
| 9 | Gary Payton II | Golden State Warriors | SG | 1 |
| 10 | Kobe Brown | Los Angeles Clippers | PF | 1 |
| 11 | Ousmane Dieng | Oklahoma City Thunder | C | 1 |
| 12 | Baylor Scheierman | Boston Celtics | SG | 1 |
| 13 | Carter Bryant | San Antonio Spurs | PF | 1 |
| 14 | Gary Harris | Milwaukee Bucks | SG | 1 |
| 15 | Julian Phillips | Chicago Bulls | SF | 1 |
| 16 | Tyus Jones | Orlando Magic | PG | 1 |
| 17 | Bronny James | Los Angeles Lakers | SG | 1 |
| 18 | Rasheer Fleming | Phoenix Suns | PF | 1 |
| 19 | Taelon Peter | Indiana Pacers | SG | 1 |
| 20 | Amir Coffey | Milwaukee Bucks | SG | 1 |
| 21 | Chris Youngblood | Oklahoma City Thunder | SG | 1 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Total Rebounds Per Game | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
||||
| Rank | Player | Team | Position | TRB |
|---|---|---|---|---|
| 1 | Victor Wembanyama | San Antonio Spurs | C | 12.9 |
| 2 | Nikola Jokić | Denver Nuggets | C | 12.8 |
| 3 | Karl-Anthony Towns | New York Knicks | C | 12.4 |
| 4 | Domantas Sabonis | Sacramento Kings | C | 12.3 |
| 5 | Jalen Duren | Detroit Pistons | C | 11.5 |
| 6 | Ivica Zubac | Los Angeles Clippers | C | 11.5 |
| 7 | Kel'el Ware | Miami Heat | C | 11.0 |
| 8 | Isaiah Hartenstein | Oklahoma City Thunder | C | 10.9 |
| 9 | Giannis Antetokounmpo | Milwaukee Bucks | PF | 10.8 |
| 10 | Andre Drummond | Philadelphia 76ers | C | 10.7 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Assists Per Game | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
||||
| Rank | Player | Team | Position | AST |
|---|---|---|---|---|
| 1 | Nikola Jokić | Denver Nuggets | C | 11.1 |
| 2 | Cade Cunningham | Detroit Pistons | PG | 9.6 |
| 3 | Josh Giddey | Chicago Bulls | PG | 9.5 |
| 4 | LaMelo Ball | Charlotte Hornets | PG | 9.3 |
| 5 | Luka Dončić | Los Angeles Lakers | PG | 9.2 |
| 6 | James Harden | Los Angeles Clippers | PG | 8.4 |
| 7 | Jrue Holiday | Portland Trail Blazers | PG | 8.3 |
| 8 | Ja Morant | Memphis Grizzlies | PG | 7.6 |
| 9 | Tyrese Maxey | Philadelphia 76ers | PG | 7.5 |
| 10 | Stephon Castle | San Antonio Spurs | PG | 7.5 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Steals Per Game | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
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| Rank | Player | Team | Position | STL |
|---|---|---|---|---|
| 1 | Cason Wallace | Oklahoma City Thunder | SG | 2.4 |
| 2 | Dyson Daniels | Atlanta Hawks | SG | 2.2 |
| 3 | Mikal Bridges | New York Knicks | SF | 2.1 |
| 4 | Luka Dončić | Los Angeles Lakers | PG | 1.9 |
| 5 | Dillon Brooks | Phoenix Suns | SF | 1.9 |
| 6 | OG Anunoby | New York Knicks | PF | 1.9 |
| 7 | Ajay Mitchell | Oklahoma City Thunder | SG | 1.8 |
| 8 | Marcus Smart | Los Angeles Lakers | SG | 1.8 |
| 9 | Ron Holland | Detroit Pistons | SF | 1.8 |
| 10 | Trey Murphy III | New Orleans Pelicans | SF | 1.7 |
| 11 | Jimmy Butler | Golden State Warriors | SF | 1.7 |
| 12 | Stephon Castle | San Antonio Spurs | PG | 1.7 |
| 13 | Derrick White | Boston Celtics | SG | 1.7 |
| 14 | Reed Sheppard | Houston Rockets | PG | 1.7 |
| 15 | Ausar Thompson | Detroit Pistons | SF | 1.7 |
| 16 | Tre Jones | Chicago Bulls | PG | 1.7 |
| 17 | Alex Caruso | Oklahoma City Thunder | SG | 1.7 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Blocks Per Game | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
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| Rank | Player | Team | Position | BLK |
|---|---|---|---|---|
| 1 | Victor Wembanyama | San Antonio Spurs | C | 3.6 |
| 2 | Alex Sarr | Washington Wizards | C | 2.0 |
| 3 | Isaiah Stewart | Detroit Pistons | C | 2.0 |
| 4 | Jay Huff | Indiana Pacers | C | 2.0 |
| 5 | Ryan Kalkbrenner | Charlotte Hornets | C | 1.9 |
| 6 | Myles Turner | Milwaukee Bucks | C | 1.8 |
| 7 | Scottie Barnes | Toronto Raptors | PF | 1.7 |
| 8 | Rudy Gobert | Minnesota Timberwolves | C | 1.7 |
| 9 | Adem Bona | Philadelphia 76ers | C | 1.7 |
| 10 | Evan Mobley | Cleveland Cavaliers | PF | 1.6 |
| 11 | Kristaps Porziņģis | Atlanta Hawks | C | 1.6 |
| 12 | Donovan Clingan | Portland Trail Blazers | C | 1.6 |
| 13 | Daniel Gafford | Dallas Mavericks | C | 1.6 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Turnovers Per Game | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
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| Rank | Player | Team | Position | TOV |
|---|---|---|---|---|
| 1 | Luka Dončić | Los Angeles Lakers | PG | 4.2 |
| 2 | Devin Booker | Phoenix Suns | SG | 4.1 |
| 3 | Stephon Castle | San Antonio Spurs | PG | 4.0 |
| 4 | James Harden | Los Angeles Clippers | PG | 3.8 |
| 5 | Ja Morant | Memphis Grizzlies | PG | 3.8 |
| 6 | Cade Cunningham | Detroit Pistons | PG | 3.6 |
| 7 | Victor Wembanyama | San Antonio Spurs | C | 3.6 |
| 8 | LaMelo Ball | Charlotte Hornets | PG | 3.6 |
| 9 | Josh Giddey | Chicago Bulls | PG | 3.6 |
| 10 | Giannis Antetokounmpo | Milwaukee Bucks | PF | 3.5 |
| 11 | Nikola Jokić | Denver Nuggets | C | 3.5 |
| 12 | Deni Avdija | Portland Trail Blazers | SF | 3.5 |
| 13 | Alperen Şengün | Houston Rockets | C | 3.5 |
| 14 | Kyshawn George | Washington Wizards | SF | 3.5 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 9 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.
| League-wide Leaders: Personal Fouls Per Game | ||||
| 2025-2026 Season Data as of November 26, 2025 at 06:55 PM |
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| Rank | Player | Team | Position | PF |
|---|---|---|---|---|
| 1 | Kyshawn George | Washington Wizards | SF | 4.4 |
| 2 | Jaren Jackson Jr. | Memphis Grizzlies | C | 4.1 |
| 3 | Domantas Sabonis | Sacramento Kings | C | 4.0 |
| 4 | Wendell Carter Jr. | Orlando Magic | C | 3.9 |
| 5 | Karl-Anthony Towns | New York Knicks | C | 3.8 |
| 6 | Draymond Green | Golden State Warriors | PF | 3.8 |
| 7 | Cade Cunningham | Detroit Pistons | PG | 3.7 |
| 8 | Victor Wembanyama | San Antonio Spurs | C | 3.7 |
| 9 | Dillon Brooks | Phoenix Suns | SF | 3.7 |
| 10 | Stephon Castle | San Antonio Spurs | PG | 3.6 |
| 11 | Jaden McDaniels | Minnesota Timberwolves | PF | 3.6 |
| 12 | Jaylon Tyson | Cleveland Cavaliers | SG | 3.6 |
| 13 | Herbert Jones | New Orleans Pelicans | SF | 3.6 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 9 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.↩︎
