Published: April 18, 2021
Updated: November 04, 2026 at 06:34PM
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
The latest National Basketball Association box score data reveal a highly stratified league as the 2026-27 season approaches its third week. The Houston Rockets and Philadelphia 76ers currently lead the standings, with both teams securing seven wins and one loss for an 88 percent win rate. However, the most notable statistical pattern emerges from the offensive production of the Los Angeles Lakers and the Memphis Grizzlies. The Lakers boast a league-leading median of 128 points scored over eight games, accompanying their 75 percent win rate. Similarly, the Grizzlies maintain an 86 percent win rate while posting a median of 123 points across seven contests. These figures suggest that prioritizing early-season offensive tempo could indicate a structural advantage for these specific rosters. Ultimately, the data point toward high-scoring strategies paying substantial early dividends.
The elevated team scoring metrics for both franchises align closely with distinct individual performance outliers. For the Lakers, Luka Dončić leads all players with 38.3 points per game and ranks eighth in field goal attempts at 23.6 per contest. His exceptional output coincides with media narratives praising his two-way impact, which, according to news reports, may reflect his early candidacy for the Most Valuable Player award. Meanwhile, the Grizzlies’ success features a surprising contribution from Ty Jerome, who averages 28.2 points and 9.5 made field goals per game. His high scoring volume correlates with Memphis capturing six victories in their first seven games. Observers suggest this unexpected production could indicate a sustainable role expansion, as media updates indicate he is currently on a highly efficient run. These individual scoring spikes present one possible explanation for their teams’ overall offensive advantages.
A second major statistical trend highlights the effectiveness of robust defensive structures, exemplified by the Detroit Pistons and the Houston Rockets. The Pistons hold a 6-1 record and have restricted opponents to a league-low median of 94 points allowed per game. Their tight defensive execution corresponds to a median point differential of 13, emphasizing their ability to control the pace of play. The Rockets demonstrate a similarly balanced approach, combining a median of 119.5 points scored with a median of 110 points allowed. This dual proficiency is associated with a median point differential of 13 across eight games. Such consistent margins suggest these rosters might possess a more sustainable formula for long-term success than teams relying solely on scoring. Data limitations at this early stage mean these defensive metrics could regress, but they currently offer a clear roadmap to the top of the standings.
Conversely, several franchises are experiencing substantial difficulties generating competitive point differentials during this initial stretch. The Chicago Bulls, Los Angeles Clippers, Milwaukee Bucks, and Phoenix Suns have each managed only a single victory thus far. The Bulls currently record a median point differential of -14, while allowing opponents a median of 126 points per game. The Suns display an even more challenging metric, carrying a minimum point differential of -41 and an overall win percentage of just 20 percent. These negative margins could indicate defensive communication breakdowns or early-season conditioning issues. Alternative explanations might include rigorous early scheduling or temporary shooting slumps that depress overall offensive output. Regardless of the underlying causes, the box scores demonstrate a stark contrast between the league’s top and bottom tiers.
The Golden State Warriors occupy a middle ground in the standings, compiling a 5-3 record that underscores the nuanced nature of team development. They maintain a solid median of 117.5 points scored against 113.5 points allowed, reflecting a competitive but imperfect balance. Their current roster construction relies heavily on younger talent, which may reflect the absence of veteran center Kristaps Porziņģis. According to news reports, the franchise is presently withholding his salary while his time away from the team continues. Missing a frontcourt veteran could indicate why their defensive metrics remain slightly elevated compared to top-tier defensive teams like Detroit. As the season progresses, these early sample sizes will expand, offering clearer insights into which statistical trends represent permanent shifts. Until then, sabermetricians must treat these preliminary box scores as useful hypotheses rather than definitive conclusions.
Cumulative Wins
This figure presents cumulative wins by 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
Head-to-Head Records
This figure presents a cross-tabulated heat map detailing the head-to-head performance of each NBA team during the current season. Each row corresponds to a specific team, while the columns represent their respective opponents. The intersecting cells contain text displaying the exact win-loss record for that specific matchup. Additionally, the background of each cell is colored according to the head-to-head differential using a diverging color scale, where positive values—indicating a favorable margin—and negative values—indicating an unfavorable margin—are visually distinguished. Teams whose rows feature a higher concentration of blues demonstrate broader dominance across the league. In contrast, rows saturated with reds highlight teams struggling against a variety of opponents. This visualization offers a comprehensive, at-a-glance snapshot of individual matchup advantages, intra-league parity, and overall team competitiveness to date.
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 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 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 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 NBA players who have appeared in at least 4 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 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | G |
|---|---|---|---|---|
| 1 | Tyrese Maxey | Philadelphia 76ers | PG | 8 |
| 2 | Austin Reaves | Los Angeles Lakers | SG | 8 |
| 3 | Brandon Miller | Charlotte Hornets | SF | 8 |
| 4 | Yaxel Lendeborg | Golden State Warriors | SF | 8 |
| 5 | Nickeil Alexander-Walker | Atlanta Hawks | SG | 8 |
| 6 | Kevin Durant | Houston Rockets | PF | 8 |
| 7 | Jabari Smith Jr. | Houston Rockets | PF | 8 |
| 8 | LaMelo Ball | Minnesota Timberwolves | PG | 8 |
| 9 | Jaden McDaniels | Minnesota Timberwolves | PF | 8 |
| 10 | Amen Thompson | Houston Rockets | SF | 8 |
| 11 | Ayo Dosunmu | Minnesota Timberwolves | SG | 8 |
| 12 | Naz Reid | Charlotte Hornets | C | 8 |
| 13 | Grayson Allen | Charlotte Hornets | SG | 8 |
| 14 | Walker Kessler | Los Angeles Lakers | C | 8 |
| 15 | CJ McCollum | Atlanta Hawks | PG | 8 |
| 16 | Aaron Wiggins | Atlanta Hawks | SG | 8 |
| 17 | Jonathan Kuminga | Minnesota Timberwolves | SF | 8 |
| 18 | Onyeka Okongwu | Atlanta Hawks | C | 8 |
| 19 | Anfernee Simons | Philadelphia 76ers | SG | 8 |
| 20 | Dennis Schröder | Charlotte Hornets | PG | 8 |
| 21 | De'Anthony Melton | Golden State Warriors | SG | 8 |
| 22 | Tari Eason | Houston Rockets | PF | 8 |
| 23 | Quenton Jackson | Indiana Pacers | PG | 8 |
| 24 | Sandro Mamukelashvili | Los Angeles Lakers | C | 8 |
| 25 | Dyson Daniels | Atlanta Hawks | SF | 8 |
| 26 | Luguentz Dort | Atlanta Hawks | PF | 8 |
| 27 | Moussa Diabaté | Charlotte Hornets | C | 8 |
| 28 | Matisse Thybulle | Los Angeles Lakers | SF | 8 |
| 29 | Quentin Grimes | Los Angeles Lakers | SG | 8 |
| 30 | Jarace Walker | Indiana Pacers | PF | 8 |
| 31 | Georges Niang | Golden State Warriors | PF | 8 |
| 32 | Bones Hyland | Minnesota Timberwolves | PG | 8 |
| 33 | Joan Beringer | Minnesota Timberwolves | C | 8 |
| 34 | Trey Lyles | Minnesota Timberwolves | PF | 8 |
| 35 | Bogdan Bogdanović | Houston Rockets | SG | 8 |
| 36 | Kentavious Caldwell-Pope | Philadelphia 76ers | SF | 8 |
| 37 | Royce O'Neale | Charlotte Hornets | SF | 8 |
| 38 | Sion James | Charlotte Hornets | SG | 8 |
| 39 | Gary Payton II | Golden State Warriors | SG | 8 |
| 40 | Will Richard | Golden State Warriors | SG | 8 |
| 41 | Ryan Kalkbrenner | Charlotte Hornets | C | 8 |
| 42 | Christian Anderson Jr. | Charlotte Hornets | PG | 8 |
| 43 | Adem Bona | Philadelphia 76ers | C | 8 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | MP |
|---|---|---|---|---|
| 1 | Jamal Murray | Denver Nuggets | PG | 38.3 |
| 2 | Tyrese Maxey | Philadelphia 76ers | PG | 37.4 |
| 3 | Nikola Jokić | Denver Nuggets | C | 37.0 |
| 4 | Darius Acuff Jr. | Sacramento Kings | PG | 36.6 |
| 5 | Christian Braun | Denver Nuggets | SG | 36.3 |
| 6 | Domantas Sabonis | Sacramento Kings | C | 36.1 |
| 7 | Jaylen Brown | Philadelphia 76ers | SF | 36.0 |
| 8 | Trae Young | Washington Wizards | PG | 36.0 |
| 9 | Franz Wagner | Orlando Magic | SF | 35.9 |
| 10 | Austin Reaves | Los Angeles Lakers | SG | 35.8 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | PTS |
|---|---|---|---|---|
| 1 | Luka Dončić | Los Angeles Lakers | PG | 38.3 |
| 2 | Anthony Edwards | Minnesota Timberwolves | SG | 33.3 |
| 3 | Stephen Curry | Golden State Warriors | PG | 30.0 |
| 4 | Tyrese Maxey | Philadelphia 76ers | PG | 29.1 |
| 5 | Giannis Antetokounmpo | Miami Heat | PF | 28.4 |
| 6 | Shai Gilgeous-Alexander | Oklahoma City Thunder | PG | 28.4 |
| 7 | Ty Jerome | Memphis Grizzlies | PG | 28.2 |
| 8 | Jamal Murray | Denver Nuggets | PG | 27.3 |
| 9 | Jayson Tatum | Boston Celtics | SF | 27.0 |
| 10 | Darius Acuff Jr. | Sacramento Kings | PG | 26.1 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | FG% |
|---|---|---|---|---|
| 1 | Nick Richards | Miami Heat | C | 1.000 |
| 2 | Oscar Tshiebwe | Houston Rockets | C | 0.857 |
| 3 | Mitchell Robinson | Boston Celtics | C | 0.842 |
| 4 | Tarris Reed Jr. | San Antonio Spurs | C | 0.800 |
| 5 | Moussa Cissé | Dallas Mavericks | C | 0.800 |
| 6 | Mo Bamba | Utah Jazz | C | 0.762 |
| 7 | Daniel Gafford | Dallas Mavericks | C | 0.750 |
| 8 | Ryan Kalkbrenner | Charlotte Hornets | C | 0.750 |
| 9 | Tobe Awaka | Chicago Bulls | PF | 0.750 |
| 10 | Jarred Vanderbilt | Los Angeles Lakers | PF | 0.750 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | 3P |
|---|---|---|---|---|
| 1 | Luka Dončić | Los Angeles Lakers | PG | 5.9 |
| 2 | Anthony Edwards | Minnesota Timberwolves | SG | 4.5 |
| 3 | Stephen Curry | Golden State Warriors | PG | 4.5 |
| 4 | Jamal Murray | Denver Nuggets | PG | 4.5 |
| 5 | Duncan Robinson | Detroit Pistons | SF | 4.0 |
| 6 | Nickeil Alexander-Walker | Atlanta Hawks | SG | 3.9 |
| 7 | Toumani Camara | Portland Trail Blazers | PF | 3.8 |
| 8 | Tyler Herro | Milwaukee Bucks | SG | 3.6 |
| 9 | Desmond Bane | Orlando Magic | SG | 3.6 |
| 10 | Michael Porter Jr. | Brooklyn Nets | SF | 3.4 |
| 11 | Grayson Allen | Charlotte Hornets | SG | 3.4 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | 3P% |
|---|---|---|---|---|
| 1 | Daniel Gafford | Dallas Mavericks | C | 1.000 |
| 2 | Isaiah Jackson | Los Angeles Clippers | C | 1.000 |
| 3 | Zach Edey | Memphis Grizzlies | C | 1.000 |
| 4 | Graham Ike | Golden State Warriors | C | 1.000 |
| 5 | Nick Richards | Miami Heat | C | 1.000 |
| 6 | Paul Reed | Detroit Pistons | C | 0.714 |
| 7 | Jarrett Allen | Cleveland Cavaliers | C | 0.667 |
| 8 | Neemias Queta | Boston Celtics | C | 0.667 |
| 9 | Nick Martinelli | Los Angeles Clippers | SF | 0.667 |
| 10 | Corey Kispert | Atlanta Hawks | SF | 0.615 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | FT% |
|---|---|---|---|---|
| 1 | Kyrie Irving | Dallas Mavericks | PG | 1 |
| 2 | Toumani Camara | Portland Trail Blazers | PF | 1 |
| 3 | Meleek Thomas | Cleveland Cavaliers | SG | 1 |
| 4 | Isaiah Stewart | Memphis Grizzlies | C | 1 |
| 5 | Klay Thompson | Miami Heat | SF | 1 |
| 6 | Derrick White | Boston Celtics | PG | 1 |
| 7 | Kobe Sanders | Los Angeles Clippers | SG | 1 |
| 8 | Reed Sheppard | Houston Rockets | PG | 1 |
| 9 | Cam Spencer | Memphis Grizzlies | SG | 1 |
| 10 | Tre Johnson | Washington Wizards | SG | 1 |
| 11 | Brice Sensabaugh | Utah Jazz | SF | 1 |
| 12 | Luke Kennard | Phoenix Suns | SG | 1 |
| 13 | Egor Dëmin | Brooklyn Nets | PG | 1 |
| 14 | A.J. Green | Milwaukee Bucks | SG | 1 |
| 15 | Leonard Miller | Chicago Bulls | SF | 1 |
| 16 | Justin Champagnie | Washington Wizards | SF | 1 |
| 17 | Max Christie | Dallas Mavericks | SG | 1 |
| 18 | Bones Hyland | Minnesota Timberwolves | PG | 1 |
| 19 | Marcus Sasser | Dallas Mavericks | PG | 1 |
| 20 | Javonte Green | Detroit Pistons | SG | 1 |
| 21 | Bogdan Bogdanović | Houston Rockets | SG | 1 |
| 22 | Mikal Bridges | New York Knicks | SF | 1 |
| 23 | Bub Carrington | Washington Wizards | PG | 1 |
| 24 | Jamal Cain | Orlando Magic | SF | 1 |
| 25 | Kenrich Williams | Oklahoma City Thunder | PF | 1 |
| 26 | Kentavious Caldwell-Pope | Philadelphia 76ers | SF | 1 |
| 27 | Tyrese Proctor | Cleveland Cavaliers | PG | 1 |
| 28 | Buddy Hield | Chicago Bulls | SG | 1 |
| 29 | Emanuel Sharp | Sacramento Kings | SG | 1 |
| 30 | Jordan Walsh | Boston Celtics | PF | 1 |
| 31 | Josh Minott | Brooklyn Nets | SF | 1 |
| 32 | Bryce Hopkins | Denver Nuggets | SF | 1 |
| 33 | Nick Martinelli | Los Angeles Clippers | SF | 1 |
| 34 | Jonathan Mogbo | Sacramento Kings | PF | 1 |
| 35 | Trayce Jackson-Davis | Toronto Raptors | C | 1 |
| 36 | Tyler Kolek | New York Knicks | PG | 1 |
| 37 | Jaylin Williams | Oklahoma City Thunder | C | 1 |
| 38 | Josh Okogie | Utah Jazz | SG | 1 |
| 39 | Christian Anderson Jr. | Charlotte Hornets | PG | 1 |
| 40 | Tarris Reed Jr. | San Antonio Spurs | C | 1 |
| 41 | Tyus Jones | Denver Nuggets | PG | 1 |
| 42 | Josh Green | Utah Jazz | SG | 1 |
| 43 | Kevon Looney | Los Angeles Lakers | C | 1 |
| 44 | Jaden Bradley | Toronto Raptors | PG | 1 |
| 45 | Cam Christie | Los Angeles Clippers | SG | 1 |
| 46 | Liam McNeeley | Charlotte Hornets | SF | 1 |
| 47 | Ebuka Okorie | Detroit Pistons | PG | 1 |
| 48 | Myron Gardner | Miami Heat | SF | 1 |
| 49 | Will Riley | Washington Wizards | SF | 1 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | TRB |
|---|---|---|---|---|
| 1 | Domantas Sabonis | Sacramento Kings | C | 14.6 |
| 2 | Karl-Anthony Towns | New York Knicks | C | 13.9 |
| 3 | Giannis Antetokounmpo | Miami Heat | PF | 12.3 |
| 4 | Rudy Gobert | Minnesota Timberwolves | C | 12.0 |
| 5 | Victor Wembanyama | San Antonio Spurs | C | 10.7 |
| 6 | Walker Kessler | Los Angeles Lakers | C | 10.5 |
| 7 | Cameron Boozer | Memphis Grizzlies | PF | 10.3 |
| 8 | Donovan Clingan | Portland Trail Blazers | C | 10.3 |
| 9 | Isaiah Hartenstein | Oklahoma City Thunder | C | 9.9 |
| 10 | Nikola Jokić | Denver Nuggets | C | 9.7 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | AST |
|---|---|---|---|---|
| 1 | Trae Young | Washington Wizards | PG | 10.0 |
| 2 | Tyrese Haliburton | Indiana Pacers | PG | 9.5 |
| 3 | Nikola Jokić | Denver Nuggets | C | 9.0 |
| 4 | Luka Dončić | Los Angeles Lakers | PG | 8.1 |
| 5 | Jalen Johnson | Atlanta Hawks | PF | 8.0 |
| 6 | Davion Mitchell | Miami Heat | PG | 8.0 |
| 7 | Jayson Tatum | Boston Celtics | SF | 7.9 |
| 8 | Josh Giddey | Chicago Bulls | PG | 7.9 |
| 9 | Alperen Şengün | Houston Rockets | C | 7.8 |
| 10 | Franz Wagner | Orlando Magic | SF | 7.6 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | STL |
|---|---|---|---|---|
| 1 | Dyson Daniels | Atlanta Hawks | SF | 3.0 |
| 2 | Kris Dunn | Los Angeles Clippers | SG | 2.9 |
| 3 | Collin Gillespie | Phoenix Suns | PG | 2.8 |
| 4 | Zion Williamson | New Orleans Pelicans | PF | 2.7 |
| 5 | Cooper Flagg | Dallas Mavericks | SF | 2.5 |
| 6 | Paul George | Boston Celtics | PF | 2.3 |
| 7 | Bam Adebayo | Miami Heat | C | 2.3 |
| 8 | Christian Braun | Denver Nuggets | SG | 2.3 |
| 9 | Scottie Barnes | Toronto Raptors | PF | 2.1 |
| 10 | Josh Hart | New York Knicks | SF | 2.1 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | BLK |
|---|---|---|---|---|
| 1 | Victor Wembanyama | San Antonio Spurs | C | 4.0 |
| 2 | Myles Turner | Milwaukee Bucks | C | 2.9 |
| 3 | Walker Kessler | Los Angeles Lakers | C | 2.5 |
| 4 | Donovan Clingan | Portland Trail Blazers | C | 2.2 |
| 5 | Jaxson Hayes | Utah Jazz | C | 2.0 |
| 6 | Daniel Gafford | Dallas Mavericks | C | 1.9 |
| 7 | Peyton Watson | Cleveland Cavaliers | SF | 1.8 |
| 8 | Mo Bamba | Utah Jazz | C | 1.8 |
| 9 | Jarrett Allen | Cleveland Cavaliers | C | 1.7 |
| 10 | Aday Mara | Oklahoma City Thunder | C | 1.7 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | TOV |
|---|---|---|---|---|
| 1 | Darius Garland | Los Angeles Clippers | PG | 5.4 |
| 2 | Luka Dončić | Los Angeles Lakers | PG | 5.0 |
| 3 | Austin Reaves | Los Angeles Lakers | SG | 4.6 |
| 4 | Julius Randle | Brooklyn Nets | PF | 4.1 |
| 5 | Karl-Anthony Towns | New York Knicks | C | 4.1 |
| 6 | Franz Wagner | Orlando Magic | SF | 4.1 |
| 7 | Cade Cunningham | Detroit Pistons | PG | 3.9 |
| 8 | Keyonte George | Utah Jazz | PG | 3.9 |
| 9 | Domantas Sabonis | Sacramento Kings | C | 3.9 |
| 10 | Nikola Jokić | Denver Nuggets | C | 3.8 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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 | ||||
| 2026-2027 Season Data as of November 04, 2026 at 06:34 PM |
||||
| Rank | Player | Team | Position | PF |
|---|---|---|---|---|
| 1 | LaMelo Ball | Minnesota Timberwolves | PG | 4.3 |
| 2 | OG Anunoby | New York Knicks | PF | 4.0 |
| 3 | Jaren Jackson Jr. | Utah Jazz | C | 4.0 |
| 4 | Cedric Coward | Memphis Grizzlies | SG | 4.0 |
| 5 | Jakob Poeltl | Toronto Raptors | C | 4.0 |
| 6 | Desmond Bane | Orlando Magic | SG | 3.9 |
| 7 | Domantas Sabonis | Sacramento Kings | C | 3.7 |
| 8 | Bilal Coulibaly | Washington Wizards | SF | 3.7 |
| 9 | Zach Edey | Memphis Grizzlies | C | 3.7 |
| 10 | Emanuel Sharp | Sacramento Kings | SG | 3.7 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 4 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.↩︎
