Published: April 18, 2021
Updated: April 17, 2026 at 05:48PM
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
To: Basketball Analytics Department From: Lead Sabermetrician Date: 2026-04-17 Subject: Briefing on End-of-Season Box Score Analysis
An analysis of the complete 2025-26 NBA regular season data reveals distinct tiers of team performance and several noteworthy individual achievements. The data highlight a clear separation between the league’s top contenders and its struggling franchises. The Oklahoma City Thunder concluded the season with a league-best 64-18 record, translating to a 78% win percentage. Following closely were the San Antonio Spurs (62 wins) and Detroit Pistons (60 wins), forming a distinct top tier. Conversely, the Washington Wizards finished with the league’s fewest wins at 17, underscoring a substantial performance gap across the association.
The first notable pattern in the team data is the dominance of the Oklahoma City Thunder, which is supported by their point differential. The Thunder achieved a median point differential of +11, meaning in a typical game, they outscored their opponent by 11 points. This figure was the highest in the league, followed by the Spurs at +10. This consistent ability to secure comfortable victories may reflect a balanced team construction, as they ranked highly in both points scored (median of 119.5) and points allowed (median of 108). Their performance suggests a high level of efficiency on both ends of the court throughout the season.
A second notable pattern is the different strategic blueprints employed by other successful teams. The data suggest that teams can achieve elite status through either offensive firepower or defensive prowess. For example, the Denver Nuggets (54 wins) finished with the highest median points scored in the league at 123 per game, but also allowed a relatively high 115.5 points. In contrast, the Boston Celtics (56 wins) built their success on defense, allowing a league-low 106.5 points per game while maintaining a more moderate median offensive output of 113.5 points. These differing profiles indicate that multiple tactical approaches can lead to a high number of wins.
Individually, several players posted exceptional seasons across statistical categories. Luka Dončić of the Los Angeles Lakers led all players in scoring with an average of 33.5 points per game. Nikola Jokić of the Denver Nuggets continued to demonstrate remarkable versatility, finishing third in scoring (27.7), tenth in rebounds (12.9), and first in assists (10.7), an outlier for the center position. On the defensive side, Victor Wembanyama of the San Antonio Spurs established himself as the premier shot-blocker, averaging 3.1 blocks per game. This figure is substantially higher than the next-ranked player, Alex Sarr, who averaged 2.0 blocks.
It is important to provide context for certain rate-based statistics. While several players are listed with perfect or near-perfect scores in categories like field goal percentage (FG%) and three-point percentage (3P%), these data points often reflect a very small sample size of attempts. For instance, a player with a 100% FG% may have only taken a handful of shots over the entire season. Therefore, cumulative statistics (total points, rebounds) and volume-based averages (points per game on a high number of attempts) generally offer a more reliable measure of a player’s consistent contribution and overall impact than efficiency rates viewed in isolation.
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 10 games during the current season. It provides a comprehensive overview of offensive and defensive contributions across multiple dimensions of play. Core indicators such as games played (G), games started (GS), and minutes per game (MP) establish each player’s level of participation and role within their team. Scoring efficiency is reflected through field goal (FG%), three-point (3P%), two-point (2P%), and free throw (FT%) percentages, along with related per-game averages for made and attempted shots.
Rebounding and playmaking statistics—offensive rebounds (ORB), defensive rebounds (DRB), total rebounds (TRB), and assists (AST)—capture control of possession and ball distribution, while defensive metrics such as steals (STL) and blocks (BLK) reflect individual defensive impact. Turnovers (TOV) and personal fouls (PF) provide additional context on possession management and defensive discipline. Points per game (PTS) serve as a key summary measure of scoring productivity.
Together, these statistics offer a balanced portrait of player performance across offensive efficiency, defensive activity, and overall on-court effectiveness. Awards and recognitions are included where applicable, highlighting standout achievements during the season.
Note: Table displays rows only for players who played in at least 10 games.
Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
G – Games
GS – Games Started
MP – Minutes Played Per Game
PTS – Points Per Game
FG – Field Goals Per Game
FGA – Field Goal Attempts Per Game
FG% – Field Goal Percentage
3P – 3-Point Field Goals Per Game
3PA – 3-Point Field Goal Attempts Per Game
3P% – 3-Point Field Goal Percentage
2P – 2-Point Field Goals Per Game
2PA – 2-Point Field Goal Attempts Per Game
2P% – 2-Point Field Goal Percentage
eFG% – Effective Field Goal Percentage
FT – Free Throws Per Game
FTA – Free Throw Attempts Per Game
FT% – Free Throw Percentage
ORB – Offensive Rebounds Per Game
DRB – Defensive Rebounds Per Game
TRB – Total Rebounds Per Game
AST – Assists Per Game
STL – Steals Per Game
BLK – Blocks Per Game
TOV – Turnovers Per Game
PF – Personal Fouls Per Game
Distributions and Leaders in Selected Statistics
Games
This figure shows the distribution of games played among all eligible NBA players during the current season. Each bar represents the number of players who have appeared in a given range of total games. The accompanying table lists the ten players who have appeared in the most games to date. Together, these displays highlight variation in player availability and durability across the league, providing insight into who has remained consistently active throughout the season. The outputs update automatically as new games are played.
| League-wide Leaders: Games | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
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| Rank | Player | Team | Position | G |
|---|---|---|---|---|
| 1 | Desmond Bane | Orlando Magic | SG | 82 |
| 2 | Mikal Bridges | New York Knicks | SF | 82 |
| 3 | Jeremiah Fears | New Orleans Pelicans | PG | 82 |
| 4 | Brandin Podziemski | Golden State Warriors | SG | 82 |
| 5 | Reed Sheppard | Houston Rockets | SG | 82 |
| 6 | Toumani Camara | Portland Trail Blazers | PF | 82 |
| 7 | Keldon Johnson | San Antonio Spurs | SF | 82 |
| 8 | Donte DiVincenzo | Minnesota Timberwolves | SG | 82 |
| 9 | Julian Champagnie | San Antonio Spurs | SF | 82 |
| 10 | Bub Carrington | Washington Wizards | PG | 82 |
| 11 | Jay Huff | Indiana Pacers | C | 82 |
| 12 | Jake LaRavia | Los Angeles Lakers | PF | 82 |
| 13 | Bruce Brown | Denver Nuggets | SG | 82 |
| 14 | Kris Dunn | Los Angeles Clippers | PG | 82 |
| 15 | Javonte Green | Detroit Pistons | SG | 82 |
| 16 | Jamal Shead | Toronto Raptors | PG | 82 |
| 17 | Oso Ighodaro | Phoenix Suns | PF | 82 |
| 18 | Sion James | Charlotte Hornets | SG | 82 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Minutes Played Per Game
This figure displays the distribution of average minutes played per game among all eligible NBA players during the current season. Each bar corresponds to the number of players whose average playing time falls within a specific range. The accompanying table lists the ten players averaging the most minutes per game. These outputs provide perspective on workload and rotation patterns across the league—players with higher values typically serve as core contributors who spend the most time on the court. The visual updates automatically as new game data become available.
| League-wide Leaders: Minutes Played Per Game | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
||||
| Rank | Player | Team | Position | MP |
|---|---|---|---|---|
| 1 | Tyrese Maxey | Philadelphia 76ers | PG | 38.0 |
| 2 | Amen Thompson | Houston Rockets | PG | 37.4 |
| 3 | Kevin Durant | Houston Rockets | SF | 36.4 |
| 4 | Luka Dončić | Los Angeles Lakers | PG | 35.8 |
| 5 | Trey Murphy III | New Orleans Pelicans | SF | 35.5 |
| 6 | Jamal Murray | Denver Nuggets | PG | 35.4 |
| 7 | James Harden | Los Angeles Clippers | PG | 35.4 |
| 8 | Jalen Johnson | Atlanta Hawks | SF | 35.2 |
| 9 | Jabari Smith Jr. | Houston Rockets | PF | 35.1 |
| 10 | Anthony Edwards | Minnesota Timberwolves | SG | 35.0 |
| 11 | Jalen Brunson | New York Knicks | PG | 35.0 |
| 12 | VJ Edgecombe | Philadelphia 76ers | SG | 35.0 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Points Per Game
This figure presents the distribution of points per game among all eligible NBA players during the current season. Each bar represents the number of players averaging a given scoring range. The accompanying table lists the ten players with the highest scoring averages. Together, these visuals illustrate league-wide scoring dynamics and distinguish the season’s most prolific scorers from players with more moderate offensive output. The figure and table refresh automatically as new games are played.
| League-wide Leaders: Points Per Game | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
||||
| Rank | Player | Team | Position | PTS |
|---|---|---|---|---|
| 1 | Luka Dončić | Los Angeles Lakers | PG | 33.5 |
| 2 | Shai Gilgeous-Alexander | Oklahoma City Thunder | PG | 31.1 |
| 3 | Anthony Edwards | Minnesota Timberwolves | SG | 28.8 |
| 4 | Jaylen Brown | Boston Celtics | SF | 28.7 |
| 5 | Tyrese Maxey | Philadelphia 76ers | PG | 28.3 |
| 6 | Kawhi Leonard | Los Angeles Clippers | SF | 27.9 |
| 7 | Donovan Mitchell | Cleveland Cavaliers | SG | 27.9 |
| 8 | Nikola Jokić | Denver Nuggets | C | 27.7 |
| 9 | Giannis Antetokounmpo | Milwaukee Bucks | PF | 27.6 |
| 10 | Joel Embiid | Philadelphia 76ers | C | 26.9 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Field Goal Percentage
This figure shows the distribution of field goal percentage among all eligible NBA players during the current season. Each bar represents the number of players whose shooting accuracy falls within a given percentage range. The accompanying table lists the ten players with the highest field goal percentages. Together, these outputs offer a league-wide view of shooting efficiency, helping to identify players who convert scoring opportunities at the most consistent rates. The displays update automatically as new game data are incorporated.
| League-wide Leaders: Field Goal Percentage | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
||||
| Rank | Player | Team | Position | FG% |
|---|---|---|---|---|
| 1 | Mason Plumlee | NA | C | 0.786 |
| 2 | Jericho Sims | Milwaukee Bucks | C | 0.784 |
| 3 | Isaiah Jackson | Los Angeles Clippers | C | 0.764 |
| 4 | Jaxson Hayes | Los Angeles Lakers | C | 0.756 |
| 5 | Ryan Kalkbrenner | Charlotte Hornets | C | 0.753 |
| 6 | Mason Plumlee | Charlotte Hornets | C | 0.750 |
| 7 | Mitchell Robinson | New York Knicks | C | 0.723 |
| 8 | Robert Williams | Portland Trail Blazers | C | 0.708 |
| 9 | Jakob Poeltl | Toronto Raptors | C | 0.700 |
| 10 | Rudy Gobert | Minnesota Timberwolves | C | 0.682 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
3-Point Field Goals Per Game
This figure presents the distribution of average three-point field goals made per game among all eligible NBA players during the current season. Each bar corresponds to the number of players averaging a given range of made three-pointers per game. The accompanying table lists the ten players who make the most three-point shots on average. These displays highlight league-wide variation in long-range scoring output and identify players who contribute most heavily from beyond the arc. The figure and table refresh automatically as new data become available.
| League-wide Leaders: 3-Point Field Goals Per Game | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
||||
| Rank | Player | Team | Position | 3P |
|---|---|---|---|---|
| 1 | Stephen Curry | Golden State Warriors | PG | 4.4 |
| 2 | Luka Dončić | Los Angeles Lakers | PG | 4.0 |
| 3 | LaMelo Ball | Charlotte Hornets | PG | 3.8 |
| 4 | Anthony Edwards | Minnesota Timberwolves | SG | 3.4 |
| 5 | Michael Porter Jr. | Brooklyn Nets | SF | 3.4 |
| 6 | Kon Knueppel | Charlotte Hornets | SF | 3.4 |
| 7 | Jamal Murray | Denver Nuggets | PG | 3.3 |
| 8 | Darius Garland | Los Angeles Clippers | PG | 3.3 |
| 9 | Donovan Mitchell | Cleveland Cavaliers | SG | 3.2 |
| 10 | Trey Murphy III | New Orleans Pelicans | SF | 3.2 |
| 11 | Nickeil Alexander-Walker | Atlanta Hawks | SG | 3.2 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
3-Point Field Goal Percentage
This figure displays the distribution of three-point field goal percentage among all eligible NBA players during the current season. Each bar represents the number of players whose accuracy from beyond the arc falls within the corresponding percentage range. The accompanying table lists the ten players with the highest three-point shooting percentages. Together, these visuals capture the range of long-distance shooting efficiency across the league and spotlight the most accurate perimeter shooters. The outputs update automatically as new games are played.
| League-wide Leaders: Three Point Percentage | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
||||
| Rank | Player | Team | Position | 3P% |
|---|---|---|---|---|
| 1 | Mark Williams | Phoenix Suns | C | 1.000 |
| 2 | Jaxson Hayes | Los Angeles Lakers | C | 1.000 |
| 3 | PJ Hall | Charlotte Hornets | C | 1.000 |
| 4 | Trayce Jackson-Davis | NA | C | 1.000 |
| 5 | Trayce Jackson-Davis | Golden State Warriors | C | 1.000 |
| 6 | Kyle Anderson | Utah Jazz | SF | 0.600 |
| 7 | PJ Hall | NA | C | 0.600 |
| 8 | David Jones García | San Antonio Spurs | SF | 0.600 |
| 9 | Antonio Reeves | Charlotte Hornets | SG | 0.538 |
| 10 | Caleb Houstan | Atlanta Hawks | SF | 0.524 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Free Throw Percentage
This figure shows the distribution of free throw percentage among all eligible NBA players during the current season. Each bar represents the number of players whose free throw accuracy falls within a given percentage range. The accompanying table lists the ten players with the highest free throw percentages. These outputs provide a league-wide view of efficiency at the foul line—an important indicator of scoring reliability in high-pressure situations. The figure and table refresh automatically as new data become available.
| League-wide Leaders: Free Throw Percentage | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
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| Rank | Player | Team | Position | FT% |
|---|---|---|---|---|
| 1 | Taurean Prince | Milwaukee Bucks | SF | 1 |
| 2 | Malachi Smith | Brooklyn Nets | SG | 1 |
| 3 | Ousmane Dieng | Oklahoma City Thunder | C | 1 |
| 4 | Jevon Carter | Chicago Bulls | PG | 1 |
| 5 | Koby Brea | Phoenix Suns | SG | 1 |
| 6 | Miles Kelly | Dallas Mavericks | PG | 1 |
| 7 | Tyus Jones | Orlando Magic | PG | 1 |
| 8 | Caleb Houstan | Atlanta Hawks | SF | 1 |
| 9 | Luke Travers | Cleveland Cavaliers | SG | 1 |
| 10 | Jeff Green | Houston Rockets | PF | 1 |
| 11 | Jahmir Young | Miami Heat | PG | 1 |
| 12 | Joe Ingles | Minnesota Timberwolves | SF | 1 |
| 13 | Javonte Cooke | Portland Trail Blazers | SG | 1 |
| 14 | Trey Jemison | New York Knicks | C | 1 |
| 15 | Max Shulga | Boston Celtics | SG | 1 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Total Rebounds Per Game
This figure displays the distribution of total rebounds per game among all eligible NBA players during the current season. Each bar represents the number of players whose average total rebounds fall within the corresponding range. The accompanying table lists the ten players with the highest rebounding averages. Together, these visuals highlight the variation in rebounding ability across the league and identify players who consistently secure possession on missed shots. The outputs refresh automatically as new data are added.
| League-wide Leaders: Total Rebounds Per Game | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
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| Rank | Player | Team | Position | TRB |
|---|---|---|---|---|
| 1 | Nikola Jokić | Denver Nuggets | C | 12.9 |
| 2 | Karl-Anthony Towns | New York Knicks | C | 11.9 |
| 3 | Donovan Clingan | Portland Trail Blazers | C | 11.6 |
| 4 | Victor Wembanyama | San Antonio Spurs | C | 11.5 |
| 5 | Rudy Gobert | Minnesota Timberwolves | C | 11.5 |
| 6 | Domantas Sabonis | Sacramento Kings | C | 11.4 |
| 7 | Anthony Davis | Dallas Mavericks | PF | 11.1 |
| 8 | Zach Edey | Memphis Grizzlies | C | 11.1 |
| 9 | Ivica Zubac | Los Angeles Clippers | C | 11.0 |
| 10 | Ivica Zubac | NA | C | 10.6 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Assists Per Game
This figure presents the distribution of assists per game among all eligible NBA players during the current season. Each bar corresponds to the number of players averaging a given range of assists per game. The accompanying table lists the ten players who record the most assists on average. These outputs illustrate league-wide playmaking tendencies and highlight players who most effectively facilitate scoring opportunities for teammates. The figure and table update automatically as new games are recorded.
| League-wide Leaders: Assists Per Game | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
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| Rank | Player | Team | Position | AST |
|---|---|---|---|---|
| 1 | Nikola Jokić | Denver Nuggets | C | 10.7 |
| 2 | Cade Cunningham | Detroit Pistons | PG | 9.9 |
| 3 | Josh Giddey | Chicago Bulls | PG | 9.1 |
| 4 | Trae Young | Atlanta Hawks | PG | 8.9 |
| 5 | Luka Dončić | Los Angeles Lakers | PG | 8.3 |
| 6 | James Harden | Los Angeles Clippers | PG | 8.1 |
| 7 | Ja Morant | Memphis Grizzlies | PG | 8.1 |
| 8 | James Harden | NA | PG | 8.0 |
| 9 | Trae Young | NA | PG | 8.0 |
| 10 | Jalen Johnson | Atlanta Hawks | SF | 7.9 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Steals Per Game
This figure shows the distribution of steals per game among all eligible NBA players during the current season. Each bar indicates how many players average a given number of steals per game. The accompanying table lists the ten players with the highest steal averages. Together, these outputs provide a snapshot of defensive activity across the league and spotlight players who most frequently disrupt opponents’ possessions. The displays refresh automatically as new game data become available.
| League-wide Leaders: Steals Per Game | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
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| Rank | Player | Team | Position | STL |
|---|---|---|---|---|
| 1 | Bez Mbeng | Utah Jazz | SG | 2.3 |
| 2 | Kevin Porter Jr. | Milwaukee Bucks | PG | 2.2 |
| 3 | Dyson Daniels | Atlanta Hawks | SG | 2.0 |
| 4 | Ausar Thompson | Detroit Pistons | SF | 2.0 |
| 5 | Matisse Thybulle | Portland Trail Blazers | SG | 2.0 |
| 6 | John Konchar | Utah Jazz | SG | 2.0 |
| 7 | Tyrese Maxey | Philadelphia 76ers | PG | 1.9 |
| 8 | Kawhi Leonard | Los Angeles Clippers | SF | 1.9 |
| 9 | Scotty Pippen Jr. | Memphis Grizzlies | PG | 1.9 |
| 10 | Cason Wallace | Oklahoma City Thunder | SG | 1.9 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Blocks Per Game
This figure displays the distribution of blocks per game among all eligible NBA players during the current season. Each bar represents the number of players whose average shot-blocking totals fall within the corresponding range. The accompanying table lists the ten players with the highest block averages. Together, these visuals show league-wide patterns in rim protection and highlight players who most effectively deter opponents’ shots near the basket. The figure and table update automatically as new data are incorporated.
| League-wide Leaders: Blocks Per Game | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
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| Rank | Player | Team | Position | BLK |
|---|---|---|---|---|
| 1 | Victor Wembanyama | San Antonio Spurs | C | 3.1 |
| 2 | Alex Sarr | Washington Wizards | C | 2.0 |
| 3 | Chet Holmgren | Oklahoma City Thunder | PF | 1.9 |
| 4 | Zach Edey | Memphis Grizzlies | C | 1.9 |
| 5 | Jay Huff | Indiana Pacers | C | 1.9 |
| 6 | Anthony Davis | Dallas Mavericks | PF | 1.7 |
| 7 | Evan Mobley | Cleveland Cavaliers | PF | 1.7 |
| 8 | Donovan Clingan | Portland Trail Blazers | C | 1.7 |
| 9 | Keegan Murray | Sacramento Kings | PF | 1.6 |
| 10 | Myles Turner | Milwaukee Bucks | C | 1.6 |
| 11 | Rudy Gobert | Minnesota Timberwolves | C | 1.6 |
| 12 | Isaiah Stewart | Detroit Pistons | C | 1.6 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
||||
| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Turnovers Per Game
This figure presents the distribution of turnovers per game among all eligible NBA players during the current season. Each bar represents the number of players who commit turnovers within a given per-game range. The accompanying table lists the ten players with the highest turnover averages. These outputs provide a league-wide view of ball security, highlighting how frequently players lose possession and how turnover tendencies vary by role or playing style. The displays refresh automatically as new games are played.
| League-wide Leaders: Turnovers Per Game | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
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| Rank | Player | Team | Position | TOV |
|---|---|---|---|---|
| 1 | Luka Dončić | Los Angeles Lakers | PG | 4.0 |
| 2 | Deni Avdija | Portland Trail Blazers | SF | 3.8 |
| 3 | Nikola Jokić | Denver Nuggets | C | 3.7 |
| 4 | Cade Cunningham | Detroit Pistons | PG | 3.7 |
| 5 | James Harden | Los Angeles Clippers | PG | 3.7 |
| 6 | Jaylen Brown | Boston Celtics | SF | 3.6 |
| 7 | Ja Morant | Memphis Grizzlies | PG | 3.6 |
| 8 | Josh Giddey | Chicago Bulls | PG | 3.6 |
| 9 | James Harden | NA | PG | 3.5 |
| 10 | Jalen Johnson | Atlanta Hawks | SF | 3.4 |
| 11 | Dejounte Murray | New Orleans Pelicans | PG | 3.4 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
Personal Fouls Per Game
This figure shows the distribution of personal fouls per game among all eligible NBA players during the current season. Each bar indicates the number of players whose average foul rate falls within the corresponding range. The accompanying table lists the ten players with the highest averages of personal fouls per game. Together, these visuals depict how frequently players commit fouls across the league and provide insight into defensive aggressiveness and discipline. The outputs update automatically as new data are recorded.
| League-wide Leaders: Personal Fouls Per Game | ||||
| 2025-2026 Season Data as of April 17, 2026 at 05:48 PM |
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| Rank | Player | Team | Position | PF |
|---|---|---|---|---|
| 1 | Rayan Rupert | Memphis Grizzlies | SG | 4.0 |
| 2 | Jaren Jackson Jr. | Memphis Grizzlies | C | 3.8 |
| 3 | Jaren Jackson Jr. | NA | C | 3.7 |
| 4 | Dylan Cardwell | Sacramento Kings | C | 3.7 |
| 5 | Domantas Sabonis | Sacramento Kings | C | 3.5 |
| 6 | Kyshawn George | Washington Wizards | SF | 3.5 |
| 7 | Karl-Anthony Towns | New York Knicks | C | 3.4 |
| 8 | Zach Edey | Memphis Grizzlies | C | 3.4 |
| 9 | Wendell Carter Jr. | Orlando Magic | C | 3.4 |
| 10 | Alperen Şengün | Houston Rockets | C | 3.3 |
| 11 | Dillon Brooks | Phoenix Suns | SF | 3.3 |
| 12 | Stephon Castle | San Antonio Spurs | PG | 3.3 |
| 13 | Onyeka Okongwu | Atlanta Hawks | C | 3.3 |
| 14 | Jaden McDaniels | Minnesota Timberwolves | PF | 3.3 |
| 15 | Jusuf Nurkić | Utah Jazz | C | 3.3 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.basketball-reference.com |
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| Note: Data exclude players with fewer than 10 game appearances. | ||||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
This executive summary was generated by an AI summarizer agent and reviewed by an editor agent. I review any summaries flagged for revision.↩︎
