Published: April 18, 2021
Updated: October 31, 2026 at 09:18PM
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
The early season National Basketball Association data reveal a small group of teams separating themselves from the rest of the league. The Memphis Grizzlies stand alone as the only undefeated franchise with five wins and zero losses. Close behind them are the Detroit Pistons, Houston Rockets, and Philadelphia 76ers, who have each accumulated five wins and one loss. The Memphis roster has paired offensive production with defensive resistance, scoring a median of 123 points while allowing a median of 105 points. This performance translates to a median point differential of 11 points per contest. The data suggest that their balanced approach may reflect a sustainable formula for early regular season success.
The Detroit Pistons and Houston Rockets present contrasting but effective pathways to their matching 83 percent win rates. The Pistons rely heavily on suppressing their opponents’ scoring opportunities, allowing one of the league’s lowest medians at 102.5 points per game. Conversely, the Rockets utilize a high-scoring offensive strategy, achieving a median of 120.5 points scored across their first six games. Houston also maintains a positive median point differential of 8.5 points, compared to Detroit’s 10.5 points. These statistical variations could indicate that teams can find early success through either defensive stabilization or offensive maximization. Both franchises have demonstrated a substantial ability to separate themselves from the league average in their respective specialized categories.
At the opposite end of the standings, the Brooklyn Nets and Sacramento Kings have struggled to secure victories. Both teams have recorded zero wins and five losses, which constitutes a zero percent win rate for the opening stretch. The data show that defensive vulnerabilities represent a primary challenge for these franchises. Sacramento has allowed a median of 128 points per game, while Brooklyn has conceded a median of 125 points. These high rates of points allowed yield negative median point differentials of 12 points for Sacramento and 7 points for Brooklyn. Such numbers suggest that poor defensive execution could indicate a primary factor in their winless records.
Individual statistical performances often offer insight into broader team trends, particularly regarding rebounding and rim protection. For the undefeated Grizzlies, forward Cameron Boozer averages 10.8 total rebounds per game, including 9.8 defensive rebounds. The Oklahoma City Thunder, who currently hold a four-win and one-loss record, have benefited from center Chet Holmgren’s 3.0 blocked shots and 4.7 offensive rebounds per game. However, the Thunder’s future defensive stability may face a substantial test very soon. According to news reports, Holmgren will miss eight to ten weeks, an absence that may reflect a knee injury. His extended absence could indicate an upcoming shift in Oklahoma City’s ability to contest shots and secure rebounds.
The Los Angeles Lakers and Golden State Warriors offer another illustration of how individual scoring impacts overall team dynamics. The Lakers have started the season with four wins and two losses, supported by guard Luka Dončić, who leads the dataset with 36.2 points per game. Meanwhile, the Warriors maintain an even record of three wins and three losses, with Stephen Curry averaging 29.2 points and 4.4 made three-point shots per contest. These offensive focal points recently converged in a head-to-head matchup that impacted both teams’ current standings. According to sports media, Curry scored 31 points to lead Golden State in a 25-point comeback victory against the Lakers. This result suggests that high-volume individual shooting performances can occasionally overcome substantial team-wide point deficits.
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 3 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 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | G |
|---|---|---|---|---|
| 1 | Giannis Antetokounmpo | Miami Heat | PF | 6 |
| 2 | Tyrese Maxey | Philadelphia 76ers | PG | 6 |
| 3 | Jalen Brunson | New York Knicks | PG | 6 |
| 4 | Brandon Miller | Charlotte Hornets | SF | 6 |
| 5 | Austin Reaves | Los Angeles Lakers | SG | 6 |
| 6 | Kevin Durant | Houston Rockets | PF | 6 |
| 7 | Anthony Davis | Washington Wizards | PF | 6 |
| 8 | Cade Cunningham | Detroit Pistons | PG | 6 |
| 9 | Pascal Siakam | Indiana Pacers | PF | 6 |
| 10 | Karl-Anthony Towns | New York Knicks | C | 6 |
| 11 | Caleb Wilson | Chicago Bulls | PF | 6 |
| 12 | Norman Powell | Chicago Bulls | SG | 6 |
| 13 | Trae Young | Washington Wizards | PG | 6 |
| 14 | Nickeil Alexander-Walker | Atlanta Hawks | SG | 6 |
| 15 | Yaxel Lendeborg | Golden State Warriors | SF | 6 |
| 16 | Jalen Johnson | Atlanta Hawks | SF | 6 |
| 17 | Amen Thompson | Houston Rockets | SF | 6 |
| 18 | Jabari Smith Jr. | Houston Rockets | PF | 6 |
| 19 | Jaden McDaniels | Minnesota Timberwolves | PF | 6 |
| 20 | Duncan Robinson | Detroit Pistons | SF | 6 |
| 21 | Bam Adebayo | Miami Heat | C | 6 |
| 22 | OG Anunoby | New York Knicks | PF | 6 |
| 23 | Davion Mitchell | Miami Heat | PG | 6 |
| 24 | Naz Reid | Charlotte Hornets | C | 6 |
| 25 | Aaron Wiggins | Atlanta Hawks | SG | 6 |
| 26 | LaMelo Ball | Minnesota Timberwolves | PG | 6 |
| 27 | Kyshawn George | Washington Wizards | SG | 6 |
| 28 | Matas Buzelis | Chicago Bulls | SF | 6 |
| 29 | CJ McCollum | Atlanta Hawks | PG | 6 |
| 30 | Walker Kessler | Los Angeles Lakers | C | 6 |
| 31 | Paul Reed | Detroit Pistons | C | 6 |
| 32 | P.J. Washington | Dallas Mavericks | PF | 6 |
| 33 | Terrence Shannon Jr. | Minnesota Timberwolves | SG | 6 |
| 34 | Grayson Allen | Charlotte Hornets | SG | 6 |
| 35 | Ayo Dosunmu | Minnesota Timberwolves | SG | 6 |
| 36 | Dennis Schröder | Charlotte Hornets | PG | 6 |
| 37 | Onyeka Okongwu | Atlanta Hawks | C | 6 |
| 38 | Jalen Smith | Chicago Bulls | C | 6 |
| 39 | Jonathan Kuminga | Minnesota Timberwolves | PF | 6 |
| 40 | Pelle Larsson | Miami Heat | SG | 6 |
| 41 | Daniss Jenkins | Detroit Pistons | PG | 6 |
| 42 | Tre Jones | Chicago Bulls | PG | 6 |
| 43 | Anfernee Simons | Philadelphia 76ers | SG | 6 |
| 44 | Andrew Wiggins | Miami Heat | SF | 6 |
| 45 | Dyson Daniels | Atlanta Hawks | SG | 6 |
| 46 | Klay Thompson | Miami Heat | SF | 6 |
| 47 | Brandon Williams | Golden State Warriors | PG | 6 |
| 48 | Tari Eason | Houston Rockets | PF | 6 |
| 49 | De'Anthony Melton | Golden State Warriors | PG | 6 |
| 50 | Bobby Portis | Miami Heat | PF | 6 |
| 51 | Zaccharie Risacher | Dallas Mavericks | SF | 6 |
| 52 | Matisse Thybulle | Los Angeles Lakers | SG | 6 |
| 53 | Moussa Diabaté | Charlotte Hornets | C | 6 |
| 54 | Alex Sarr | Washington Wizards | C | 6 |
| 55 | John Collins | Detroit Pistons | PF | 6 |
| 56 | Sandro Mamukelashvili | Los Angeles Lakers | PF | 6 |
| 57 | Kelly Oubre Jr. | Indiana Pacers | SF | 6 |
| 58 | Quentin Grimes | Los Angeles Lakers | SG | 6 |
| 59 | Josh Hart | New York Knicks | SG | 6 |
| 60 | Daniel Gafford | Dallas Mavericks | C | 6 |
| 61 | Josh Giddey | Chicago Bulls | PG | 6 |
| 62 | Leonard Miller | Chicago Bulls | SF | 6 |
| 63 | Max Christie | Dallas Mavericks | SG | 6 |
| 64 | Bilal Coulibaly | Washington Wizards | SF | 6 |
| 65 | Luguentz Dort | Atlanta Hawks | SF | 6 |
| 66 | Quenton Jackson | Indiana Pacers | PG | 6 |
| 67 | Bogdan Bogdanović | Houston Rockets | SG | 6 |
| 68 | Landry Shamet | New York Knicks | SG | 6 |
| 69 | Marcus Sasser | Dallas Mavericks | PG | 6 |
| 70 | Jock Landale | Atlanta Hawks | C | 6 |
| 71 | Rudy Gobert | Minnesota Timberwolves | C | 6 |
| 72 | Javonte Green | Detroit Pistons | SG | 6 |
| 73 | Miles McBride | New York Knicks | PG | 6 |
| 74 | Georges Niang | Golden State Warriors | PF | 6 |
| 75 | Jarace Walker | Indiana Pacers | PF | 6 |
| 76 | Kentavious Caldwell-Pope | Philadelphia 76ers | SG | 6 |
| 77 | Bones Hyland | Minnesota Timberwolves | PG | 6 |
| 78 | Bub Carrington | Washington Wizards | PG | 6 |
| 79 | Joan Beringer | Minnesota Timberwolves | PF | 6 |
| 80 | Kingston Flemings | Atlanta Hawks | PG | 6 |
| 81 | Morez Johnson Jr. | Dallas Mavericks | PF | 6 |
| 82 | Mikal Bridges | New York Knicks | SF | 6 |
| 83 | Tim Hardaway Jr. | Miami Heat | SG | 6 |
| 84 | Andre Drummond | New York Knicks | C | 6 |
| 85 | Kevin Huerter | Detroit Pistons | SG | 6 |
| 86 | Deandre Ayton | Washington Wizards | C | 6 |
| 87 | Trey Lyles | Minnesota Timberwolves | PF | 6 |
| 88 | Buddy Hield | Chicago Bulls | SG | 6 |
| 89 | Ron Holland | Detroit Pistons | SF | 6 |
| 90 | Royce O'Neale | Charlotte Hornets | SF | 6 |
| 91 | Isaac Okoro | Chicago Bulls | SG | 6 |
| 92 | Gary Payton II | Golden State Warriors | SG | 6 |
| 93 | Will Richard | Golden State Warriors | SG | 6 |
| 94 | Ryan Kalkbrenner | Charlotte Hornets | C | 6 |
| 95 | Sion James | Charlotte Hornets | SG | 6 |
| 96 | Larry Nance Jr. | Indiana Pacers | PF | 6 |
| 97 | Christian Anderson Jr. | Charlotte Hornets | PG | 6 |
| 98 | Adem Bona | Philadelphia 76ers | C | 6 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | MP |
|---|---|---|---|---|
| 1 | Jamal Murray | Denver Nuggets | PG | 38.2 |
| 2 | Tyrese Maxey | Philadelphia 76ers | PG | 37.5 |
| 3 | Nikola Jokić | Denver Nuggets | C | 37.2 |
| 4 | Domantas Sabonis | Sacramento Kings | C | 36.8 |
| 5 | Zach LaVine | Sacramento Kings | SG | 36.6 |
| 6 | Darius Acuff Jr. | Sacramento Kings | PG | 36.4 |
| 7 | Jaylen Brown | Philadelphia 76ers | SF | 36.4 |
| 8 | Trae Young | Washington Wizards | PG | 36.3 |
| 9 | Christian Braun | Denver Nuggets | SG | 36.2 |
| 10 | Luka Dončić | Los Angeles Lakers | PG | 35.8 |
| 11 | Jayson Tatum | Boston Celtics | PF | 35.8 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | PTS |
|---|---|---|---|---|
| 1 | Luka Dončić | Los Angeles Lakers | PG | 36.2 |
| 2 | Anthony Edwards | Minnesota Timberwolves | SG | 33.3 |
| 3 | Stephen Curry | Golden State Warriors | PG | 29.2 |
| 4 | Giannis Antetokounmpo | Miami Heat | PF | 28.2 |
| 5 | Tyrese Maxey | Philadelphia 76ers | PG | 28.2 |
| 6 | Jayson Tatum | Boston Celtics | PF | 27.6 |
| 7 | Cooper Flagg | Dallas Mavericks | SF | 26.8 |
| 8 | Shai Gilgeous-Alexander | Oklahoma City Thunder | PG | 26.0 |
| 9 | Zach LaVine | Sacramento Kings | SG | 26.0 |
| 10 | Ty Jerome | Memphis Grizzlies | SG | 25.8 |
| 11 | Jamal Murray | Denver Nuggets | PG | 25.8 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | FG% |
|---|---|---|---|---|
| 1 | Nick Richards | Miami Heat | C | 1.000 |
| 2 | Mitchell Robinson | Boston Celtics | C | 0.824 |
| 3 | Jalen Slawson | Indiana Pacers | SF | 0.800 |
| 4 | Moussa Cissé | Dallas Mavericks | C | 0.800 |
| 5 | Baba Miller | Los Angeles Clippers | SF | 0.800 |
| 6 | Ryan Kalkbrenner | Charlotte Hornets | C | 0.786 |
| 7 | Robert Williams | Portland Trail Blazers | C | 0.765 |
| 8 | Tobe Awaka | Chicago Bulls | PF | 0.750 |
| 9 | Jabari Walker | Philadelphia 76ers | SF | 0.750 |
| 10 | Tarris Reed Jr. | San Antonio Spurs | C | 0.750 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | 3P |
|---|---|---|---|---|
| 1 | Luka Dončić | Los Angeles Lakers | PG | 5.4 |
| 2 | Jamal Murray | Denver Nuggets | PG | 4.6 |
| 3 | Anthony Edwards | Minnesota Timberwolves | SG | 4.5 |
| 4 | Stephen Curry | Golden State Warriors | PG | 4.4 |
| 5 | Toumani Camara | Portland Trail Blazers | PF | 4.0 |
| 6 | Nickeil Alexander-Walker | Atlanta Hawks | SG | 3.7 |
| 7 | Duncan Robinson | Detroit Pistons | SF | 3.7 |
| 8 | Tyler Herro | Milwaukee Bucks | SG | 3.4 |
| 9 | Michael Porter Jr. | Brooklyn Nets | SF | 3.4 |
| 10 | Julian Champagnie | San Antonio Spurs | SF | 3.4 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | 3P% |
|---|---|---|---|---|
| 1 | Domantas Sabonis | Sacramento Kings | C | 1.000 |
| 2 | Jarrett Allen | Cleveland Cavaliers | C | 1.000 |
| 3 | Neemias Queta | Boston Celtics | C | 1.000 |
| 4 | Daniel Gafford | Dallas Mavericks | C | 1.000 |
| 5 | Graham Ike | Golden State Warriors | C | 1.000 |
| 6 | Zach Edey | Memphis Grizzlies | C | 1.000 |
| 7 | Dru Smith | Miami Heat | SG | 1.000 |
| 8 | Nick Richards | Miami Heat | C | 1.000 |
| 9 | Craig Porter Jr. | Cleveland Cavaliers | PG | 1.000 |
| 10 | Paul Reed | Detroit Pistons | C | 0.714 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | FT% |
|---|---|---|---|---|
| 1 | Stephen Curry | Golden State Warriors | PG | 1 |
| 2 | Kyrie Irving | Dallas Mavericks | SG | 1 |
| 3 | Toumani Camara | Portland Trail Blazers | PF | 1 |
| 4 | Devin Vassell | San Antonio Spurs | SG | 1 |
| 5 | Chet Holmgren | Oklahoma City Thunder | C | 1 |
| 6 | Derrick White | Boston Celtics | SG | 1 |
| 7 | Julian Champagnie | San Antonio Spurs | SF | 1 |
| 8 | Klay Thompson | Miami Heat | SF | 1 |
| 9 | Reed Sheppard | Houston Rockets | PG | 1 |
| 10 | Tre Johnson | Washington Wizards | SG | 1 |
| 11 | De'Anthony Melton | Golden State Warriors | PG | 1 |
| 12 | Isaiah Stewart | Memphis Grizzlies | C | 1 |
| 13 | Luke Kennard | Phoenix Suns | SG | 1 |
| 14 | Isaiah Hartenstein | Oklahoma City Thunder | C | 1 |
| 15 | Brice Sensabaugh | Utah Jazz | SF | 1 |
| 16 | Sam Merrill | Cleveland Cavaliers | SG | 1 |
| 17 | Cam Spencer | Memphis Grizzlies | SG | 1 |
| 18 | Leonard Miller | Chicago Bulls | SF | 1 |
| 19 | Max Christie | Dallas Mavericks | SG | 1 |
| 20 | Egor Dëmin | Brooklyn Nets | PG | 1 |
| 21 | Bogdan Bogdanović | Houston Rockets | SG | 1 |
| 22 | Scoot Henderson | Portland Trail Blazers | PG | 1 |
| 23 | Marcus Sasser | Dallas Mavericks | PG | 1 |
| 24 | Justin Champagnie | Washington Wizards | SF | 1 |
| 25 | Jay Huff | Indiana Pacers | C | 1 |
| 26 | Javonte Green | Detroit Pistons | SG | 1 |
| 27 | Chaney Johnson | Brooklyn Nets | SF | 1 |
| 28 | Georges Niang | Golden State Warriors | PF | 1 |
| 29 | Kobe Sanders | Los Angeles Clippers | SG | 1 |
| 30 | Kentavious Caldwell-Pope | Philadelphia 76ers | SG | 1 |
| 31 | Bones Hyland | Minnesota Timberwolves | PG | 1 |
| 32 | Bub Carrington | Washington Wizards | PG | 1 |
| 33 | Myles Turner | Milwaukee Bucks | C | 1 |
| 34 | Jamal Cain | Orlando Magic | SF | 1 |
| 35 | Josh Minott | Brooklyn Nets | SF | 1 |
| 36 | Jordan Walsh | Boston Celtics | PF | 1 |
| 37 | Emanuel Sharp | Sacramento Kings | SG | 1 |
| 38 | Bryce Hopkins | Denver Nuggets | SF | 1 |
| 39 | Kenrich Williams | Oklahoma City Thunder | PF | 1 |
| 40 | Trayce Jackson-Davis | Toronto Raptors | C | 1 |
| 41 | Tyler Kolek | New York Knicks | PG | 1 |
| 42 | Duop Reath | Phoenix Suns | C | 1 |
| 43 | Larry Nance Jr. | Indiana Pacers | PF | 1 |
| 44 | Jaylin Williams | Oklahoma City Thunder | PF | 1 |
| 45 | Josh Green | Utah Jazz | SG | 1 |
| 46 | Tyus Jones | Denver Nuggets | PG | 1 |
| 47 | Kevon Looney | Los Angeles Lakers | C | 1 |
| 48 | Jaden Hardy | Los Angeles Lakers | SG | 1 |
| 49 | Nick Martinelli | Los Angeles Clippers | SF | 1 |
| 50 | Jaden Bradley | Toronto Raptors | PG | 1 |
| 51 | Cam Christie | Los Angeles Clippers | SG | 1 |
| 52 | Myron Gardner | Miami Heat | SF | 1 |
| 53 | Liam McNeeley | Charlotte Hornets | SF | 1 |
| 54 | Kyle Filipowski | Utah Jazz | C | 1 |
| 55 | Will Riley | Washington Wizards | SF | 1 |
| 56 | Ebuka Okorie | Detroit Pistons | PG | 1 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | TRB |
|---|---|---|---|---|
| 1 | Domantas Sabonis | Sacramento Kings | C | 16.2 |
| 2 | Karl-Anthony Towns | New York Knicks | C | 13.5 |
| 3 | Giannis Antetokounmpo | Miami Heat | PF | 12.3 |
| 4 | Rudy Gobert | Minnesota Timberwolves | C | 12.3 |
| 5 | Victor Wembanyama | San Antonio Spurs | C | 11.4 |
| 6 | Cameron Boozer | Memphis Grizzlies | PF | 10.8 |
| 7 | Nikola Jokić | Denver Nuggets | C | 9.8 |
| 8 | Moussa Diabaté | Charlotte Hornets | C | 9.8 |
| 9 | Isaiah Hartenstein | Oklahoma City Thunder | C | 9.6 |
| 10 | Joel Embiid | Philadelphia 76ers | C | 9.4 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | AST |
|---|---|---|---|---|
| 1 | Trae Young | Washington Wizards | PG | 10.2 |
| 2 | Tyrese Haliburton | Indiana Pacers | PG | 9.5 |
| 3 | Nikola Jokić | Denver Nuggets | C | 9.2 |
| 4 | Jalen Johnson | Atlanta Hawks | SF | 8.7 |
| 5 | Davion Mitchell | Miami Heat | PG | 8.2 |
| 6 | Andrew Nembhard | Indiana Pacers | SG | 8.0 |
| 7 | Jayson Tatum | Boston Celtics | PF | 7.8 |
| 8 | Luka Dončić | Los Angeles Lakers | PG | 7.6 |
| 9 | Josh Giddey | Chicago Bulls | PG | 7.5 |
| 10 | Cade Cunningham | Detroit Pistons | PG | 7.2 |
| 11 | Domantas Sabonis | Sacramento Kings | C | 7.2 |
| 12 | Draymond Green | Golden State Warriors | PF | 7.2 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | STL |
|---|---|---|---|---|
| 1 | Zion Williamson | New Orleans Pelicans | PF | 3.2 |
| 2 | Dyson Daniels | Atlanta Hawks | SG | 3.0 |
| 3 | Collin Gillespie | Phoenix Suns | PG | 3.0 |
| 4 | Cooper Flagg | Dallas Mavericks | SF | 2.6 |
| 5 | Paul George | Boston Celtics | PF | 2.4 |
| 6 | Christian Braun | Denver Nuggets | SG | 2.4 |
| 7 | Bam Adebayo | Miami Heat | C | 2.3 |
| 8 | Cason Wallace | Oklahoma City Thunder | SG | 2.3 |
| 9 | Scottie Barnes | Toronto Raptors | PF | 2.2 |
| 10 | Kris Dunn | Los Angeles Clippers | PG | 2.2 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | BLK |
|---|---|---|---|---|
| 1 | Victor Wembanyama | San Antonio Spurs | C | 3.8 |
| 2 | Chet Holmgren | Oklahoma City Thunder | C | 3.0 |
| 3 | Walker Kessler | Los Angeles Lakers | C | 2.8 |
| 4 | Myles Turner | Milwaukee Bucks | C | 2.6 |
| 5 | Jaxson Hayes | Utah Jazz | C | 2.3 |
| 6 | Jarrett Allen | Cleveland Cavaliers | C | 2.2 |
| 7 | Donovan Clingan | Portland Trail Blazers | C | 2.0 |
| 8 | Daniel Gafford | Dallas Mavericks | C | 2.0 |
| 9 | Peyton Watson | Cleveland Cavaliers | SF | 1.8 |
| 10 | Zaccharie Risacher | Dallas Mavericks | SF | 1.7 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | TOV |
|---|---|---|---|---|
| 1 | Darius Garland | Los Angeles Clippers | PG | 5.6 |
| 2 | Luka Dončić | Los Angeles Lakers | PG | 5.2 |
| 3 | Austin Reaves | Los Angeles Lakers | SG | 4.8 |
| 4 | Franz Wagner | Orlando Magic | SF | 4.6 |
| 5 | Keyonte George | Utah Jazz | PG | 4.2 |
| 6 | Karl-Anthony Towns | New York Knicks | C | 4.2 |
| 7 | Nikola Jokić | Denver Nuggets | C | 4.2 |
| 8 | Julius Randle | Brooklyn Nets | PF | 4.2 |
| 9 | Domantas Sabonis | Sacramento Kings | C | 4.2 |
| 10 | Alperen Şengün | Houston Rockets | C | 4.0 |
| 11 | Cade Cunningham | Detroit Pistons | PG | 4.0 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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 October 31, 2026 at 09:18 PM |
||||
| Rank | Player | Team | Position | PF |
|---|---|---|---|---|
| 1 | Cedric Coward | Memphis Grizzlies | SG | 4.8 |
| 2 | Jaren Jackson Jr. | Utah Jazz | C | 4.0 |
| 3 | LaMelo Ball | Minnesota Timberwolves | PG | 4.0 |
| 4 | Anthony Black | Orlando Magic | PG | 4.0 |
| 5 | Jakob Poeltl | Toronto Raptors | C | 4.0 |
| 6 | Emanuel Sharp | Sacramento Kings | SG | 4.0 |
| 7 | Desmond Bane | Orlando Magic | SG | 3.8 |
| 8 | OG Anunoby | New York Knicks | PF | 3.8 |
| 9 | Collin Murray-Boyles | Toronto Raptors | PF | 3.8 |
| 10 | Bilal Coulibaly | Washington Wizards | SF | 3.8 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 3 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.↩︎
