Basketball Season Tracking Analysis

By Isaac H. Michaels, DrPH

February 10, 2026
Basketball Sports Data Visualization


Published: April 18, 2021
Updated: February 10, 2026 at 06:23PM


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

As of February 10, 2026, cumulative box score data from the current NBA season point to a clear hierarchy forming across the league. Analysis of team performance and player statistics reveals two particularly notable patterns: the consistent, high-margin dominance of the Oklahoma City Thunder and the emergence of the Detroit Pistons as an elite team with a contrasting statistical profile. While these two teams have separated themselves at the top of the standings, a tight cluster of contenders follows, and individual leaderboards highlight both star players carrying heavy loads and the importance of contextualizing statistical rates.

The Oklahoma City Thunder have established the league’s best record at 41 wins and 13 losses, equivalent to a 76% winning percentage. Their success is supported by a substantial point differential, with a median margin of victory of 12 points per game. This figure is the highest in the league and suggests a pattern of decisive wins. The data show the Thunder’s offense scores a median of 121 points, while their defense holds opponents to a median of 107.5 points. This effective two-way performance is mirrored in the play of their leading scorer, Shai Gilgeous-Alexander, who ranks 9th in the NBA with 31.8 points per game.

In a near tie for the league’s best record, the Detroit Pistons have compiled 39 wins against 13 losses for a 75% win percentage. However, their path to success appears different from the Thunder’s. The Pistons’ median point differential is a more modest +6, which could indicate they are winning closer contests. Their offensive and defensive medians are more balanced, at 114.5 points scored and 112 points allowed per game. This profile may reflect a team that executes effectively in crucial late-game situations. Point guard Cade Cunningham appears to be a central figure, ranking among the league leaders in both assists (9.6) and two-point field goals attempted (13.6).

Below the top two, a competitive tier of teams has emerged, with the San Antonio Spurs (36 wins), New York Knicks (35 wins), Boston Celtics (34 wins), and Denver Nuggets (34 wins) all positioned as strong postseason contenders. These teams have achieved their records through varied approaches; for instance, the Nuggets feature a league-leading median of 122 points scored, while the Celtics rely on a defense that allows a median of just 108 points. At the other end of the spectrum, several teams are struggling, with the Sacramento Kings (12 wins), Indiana Pacers (13 wins), and Washington Wizards (14 wins) holding the league’s lowest win totals.

An examination of individual player statistics offers insight but also requires careful interpretation. Stars like Denver’s Nikola Jokić (ranking in the top 10 for points, rebounds, and assists) and the Lakers’ Luka Dončić (top 10 for points and assists) demonstrate well-rounded excellence. However, some leaderboards can be misleading without proper context. For example, several players are listed with perfect shooting percentages in categories like three-point percentage (3P%) and effective field goal percentage (eFG%). This often reflects an extremely small sample size—perhaps only a few attempts over the season—and does not indicate shooting ability comparable to that of high-volume players.

Furthermore, it is important to note potential artifacts within the data. The presence of players listed with multiple teams or alongside an “NA” designation (e.g., James Harden) typically indicates a mid-season trade, with the statistics representing their cumulative totals across the season. These data points provide a comprehensive seasonal overview but do not isolate a player’s performance with their current team. Such limitations are essential to consider when drawing conclusions from raw statistical leaderboards, ensuring that outliers are understood in the context of playing time and volume.


Cumulative Wins

This figure presents cumulative wins by National Basketball Association (NBA) team during the current season. Each panel corresponds to a single team, with the x-axis representing the progression of the season by date and the y-axis showing the total number of wins accumulated to date. This display helps illustrate how quickly teams have been winning games relative to one another and provides a clear view of momentum, slumps, or sustained success over time. Because the plot updates automatically as new data become available, it reflects each team’s current position in the season at the time of the most recent refresh.

Line chart showing cumulative wins by NBA team during the current season. Each panel represents a team, with dates on the horizontal axis and total wins on the vertical axis. Lines rise as teams win games, illustrating each team’s progress, momentum, and overall trajectory over time.

Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com



Points Scored vs. Points Allowed

This figure plots points scored against points allowed for each National Basketball Association (NBA) team during the current season. Each panel corresponds to a single team, with individual points representing games. Points above the diagonal dashed line indicate games in which the team scored more points than it allowed (wins), while points below the line indicate losses. Points are colored according to game outcome to distinguish between wins and losses. Teams with a larger number of points above the line tend to outscore their opponents more consistently, reflecting stronger overall offensive and defensive performance. The figure provides a visual summary of each team’s scoring efficiency and defensive strength across all games to date.

Scatter plot showing points scored versus points allowed for each NBA team during the current season. Each panel represents a team, with points above the diagonal dashed line indicating wins and points below the line indicating losses. Points are colored by game result, illustrating each team’s offensive and defensive outcomes over time.

Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com



Point Differentials


Histograms

This figure displays histograms of game-level point differentials for each National Basketball Association (NBA) team during the current season. Each bar represents the number of games with a given scoring margin, using a bin width of five points. Positive differentials correspond to wins, while negative values correspond to losses. Bars are colored according to game outcome, distinguishing victories from defeats. Teams whose histograms are skewed to the right tend to win by larger margins or more frequently, reflecting stronger performance and offensive dominance. In contrast, teams with distributions clustered near zero or skewed to the left tend to play in closer or less favorable contests. This visualization provides a clear snapshot of each team’s competitiveness, consistency, and margin of victory throughout the season.

Histogram panels for all NBA teams showing the distribution of point differentials in games during the current season. Bars are grouped in five-point increments, with wins and losses distinguished by color. Teams with right-skewed histograms tend to win by larger margins; those with left-skewed or centered histograms tend to play closer or losing games.

Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com


Player Statistics


Per-Game Stats

This table summarizes individual performance statistics for all National Basketball Association (NBA) players who have appeared in at least 10 games during the current season. It provides a comprehensive overview of offensive and defensive contributions across multiple dimensions of play. Core indicators such as games played (G), games started (GS), and minutes per game (MP) establish each player’s level of participation and role within their team. Scoring efficiency is reflected through field goal (FG%), three-point (3P%), two-point (2P%), and free throw (FT%) percentages, along with related per-game averages for made and attempted shots.

Rebounding and playmaking statistics—offensive rebounds (ORB), defensive rebounds (DRB), total rebounds (TRB), and assists (AST)—capture control of possession and ball distribution, while defensive metrics such as steals (STL) and blocks (BLK) reflect individual defensive impact. Turnovers (TOV) and personal fouls (PF) provide additional context on possession management and defensive discipline. Points per game (PTS) serve as a key summary measure of scoring productivity.

Together, these statistics offer a balanced portrait of player performance across offensive efficiency, defensive activity, and overall on-court effectiveness. Awards and recognitions are included where applicable, highlighting standout achievements during the season.

Note: Table displays rows only for players who played in at least 10 games.
Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com


G – Games
GS – Games Started
MP – Minutes Played Per Game
PTS – Points Per Game
FG – Field Goals Per Game
FGA – Field Goal Attempts Per Game
FG% – Field Goal Percentage
3P – 3-Point Field Goals Per Game
3PA – 3-Point Field Goal Attempts Per Game
3P% – 3-Point Field Goal Percentage
2P – 2-Point Field Goals Per Game
2PA – 2-Point Field Goal Attempts Per Game
2P% – 2-Point Field Goal Percentage
eFG% – Effective Field Goal Percentage
FT – Free Throws Per Game
FTA – Free Throw Attempts Per Game
FT% – Free Throw Percentage
ORB – Offensive Rebounds Per Game
DRB – Defensive Rebounds Per Game
TRB – Total Rebounds Per Game
AST – Assists Per Game
STL – Steals Per Game
BLK – Blocks Per Game
TOV – Turnovers Per Game
PF – Personal Fouls Per Game


Distributions and Leaders in Selected Statistics


Games

This figure shows the distribution of games played among all eligible NBA players during the current season. Each bar represents the number of players who have appeared in a given range of total games. The accompanying table lists the ten players who have appeared in the most games to date. Together, these displays highlight variation in player availability and durability across the league, providing insight into who has remained consistently active throughout the season. The outputs update automatically as new games are played.

Histogram showing the distribution of games played among all qualified NBA players. The x-axis represents total games played, and the y-axis represents the number of players. The figure illustrates how often players appear in games across the league.

League-wide Leaders: Games
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position G
1 Julius Randle Minnesota Timberwolves PF 55
2 DeMar DeRozan Sacramento Kings PF 55
3 Naz Reid Minnesota Timberwolves C 55
4 Jeremiah Fears New Orleans Pelicans PG 55
5 Donte DiVincenzo Minnesota Timberwolves SG 55
6 Matas Buzelis Chicago Bulls PF 54
7 Toumani Camara Portland Trail Blazers PF 54
8 Derik Queen New Orleans Pelicans C 54
9 Brandin Podziemski Golden State Warriors SG 54
10 Quinten Post Golden State Warriors PF 54
11 Bruce Brown Denver Nuggets SG 54
12 Jamal Shead Toronto Raptors PG 54
13 Gradey Dick Toronto Raptors SG 54
14 Dru Smith Miami Heat SG 54
15 Sion James Charlotte Hornets SG 54
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


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.

Histogram showing the distribution of average minutes played per game among all qualified NBA players. The x-axis represents average minutes per game, and the y-axis represents the number of players. The figure shows how playing time is distributed across the league.

League-wide Leaders: Minutes Played Per Game
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position MP
1 Tyrese Maxey Philadelphia 76ers PG 38.7
2 Amen Thompson Houston Rockets PG 37.2
3 Kevin Durant Houston Rockets SF 36.7
4 Keegan Murray Sacramento Kings PF 35.9
5 Trey Murphy III New Orleans Pelicans SF 35.8
6 Jamal Murray Denver Nuggets PG 35.7
7 Jalen Johnson Atlanta Hawks SF 35.7
8 Luka Dončić Los Angeles Lakers PG 35.5
9 Anthony Edwards Minnesota Timberwolves SG 35.5
10 James Harden NA PG 35.4
11 James Harden Los Angeles Clippers PG 35.4
12 VJ Edgecombe Philadelphia 76ers SG 35.4
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


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.

Histogram showing the distribution of points per game among all qualified NBA players. The x-axis represents average points per game, and the y-axis represents the number of players. The figure shows how scoring output varies across the league.

League-wide Leaders: Points Per Game
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position PTS
1 Luka Dončić Los Angeles Lakers PG 32.8
2 Shai Gilgeous-Alexander Oklahoma City Thunder PG 31.8
3 Anthony Edwards Minnesota Timberwolves SG 29.6
4 Jaylen Brown Boston Celtics SF 29.4
5 Donovan Mitchell Cleveland Cavaliers SG 29.0
6 Nikola Jokić Denver Nuggets C 28.8
7 Tyrese Maxey Philadelphia 76ers PG 28.8
8 Giannis Antetokounmpo Milwaukee Bucks PF 28.0
9 Kawhi Leonard Los Angeles Clippers SF 28.0
10 Stephen Curry Golden State Warriors PG 27.2
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


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.

Histogram showing the distribution of field goal percentage among all qualified NBA players. The x-axis represents field goal percentage, and the y-axis represents the number of players. The figure shows how shooting accuracy varies across the league.

League-wide Leaders: Field Goal Percentage
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position FG%
1 Jericho Sims Milwaukee Bucks C 0.806
2 Jaxson Hayes Los Angeles Lakers C 0.767
3 Ryan Kalkbrenner Charlotte Hornets C 0.755
4 Robert Williams Portland Trail Blazers C 0.754
5 Mason Plumlee Charlotte Hornets C 0.750
6 Rudy Gobert Minnesota Timberwolves C 0.702
7 Yanic Konan Niederhäuser Los Angeles Clippers C 0.701
8 Jakob Poeltl Toronto Raptors C 0.693
9 Mitchell Robinson New York Knicks C 0.690
10 Goga Bitadze Orlando Magic C 0.687
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.

Histogram showing the distribution of average three-point field goals made per game among all qualified NBA players. The x-axis represents made three-pointers per game, and the y-axis represents the number of players. The figure shows how long-range shooting output is distributed across the league.

League-wide Leaders: 3-Point Field Goals Per Game
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position 3P
1 Stephen Curry Golden State Warriors PG 4.5
2 Donovan Mitchell Cleveland Cavaliers SG 3.7
3 Michael Porter Jr. Brooklyn Nets SF 3.7
4 Luka Dončić Los Angeles Lakers PG 3.5
5 Anthony Edwards Minnesota Timberwolves SG 3.4
6 Tyrese Maxey Philadelphia 76ers PG 3.4
7 LaMelo Ball Charlotte Hornets PG 3.4
8 Kon Knueppel Charlotte Hornets SF 3.4
9 Trey Murphy III New Orleans Pelicans SF 3.3
10 Grayson Allen Phoenix Suns SG 3.3
11 Sam Merrill Cleveland Cavaliers SG 3.3
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.

Histogram showing the distribution of three-point field goal percentage among all qualified NBA players. The x-axis represents three-point shooting percentage, and the y-axis represents the number of players. The figure shows how shooting accuracy from beyond the arc varies across the league.

League-wide Leaders: Three Point Percentage
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position 3P%
1 Mark Williams Phoenix Suns C 1.000
2 Jaxson Hayes Los Angeles Lakers C 1.000
3 Trayce Jackson-Davis NA C 1.000
4 Trayce Jackson-Davis Golden State Warriors C 1.000
5 Kyle Anderson NA SF 0.600
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 Pete Nance Milwaukee Bucks PF 0.526
10 Moussa Diabaté Charlotte Hornets C 0.500
11 Tony Bradley Indiana Pacers C 0.500
12 Nick Richards NA C 0.500
13 Caleb Houstan Atlanta Hawks SF 0.500
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


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.

Histogram showing the distribution of free throw percentage among all qualified NBA players. The x-axis represents free throw percentage, and the y-axis represents the number of players. The figure shows how accuracy at the foul line is distributed across the league.

League-wide Leaders: Free Throw Percentage
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position FT%
1 Jevon Carter NA PG 1
2 Jevon Carter Chicago Bulls PG 1
3 A.J. Lawson Toronto Raptors SG 1
4 Ousmane Dieng NA C 1
5 Ousmane Dieng Oklahoma City Thunder C 1
6 Chaz Lanier Detroit Pistons SG 1
7 Tyus Jones NA PG 1
8 Tyus Jones Orlando Magic PG 1
9 Dorian Finney-Smith Houston Rockets PF 1
10 Jeff Green Houston Rockets PF 1
11 Caleb Houstan Atlanta Hawks SF 1
12 Luke Travers Cleveland Cavaliers SG 1
13 Lindy Waters III San Antonio Spurs SG 1
14 Javonte Cooke Portland Trail Blazers SG 1
15 Trey Jemison New York Knicks C 1
16 Pacome Dadiet New York Knicks SG 1
17 Joe Ingles Minnesota Timberwolves SF 1
Table Prepared by: Isaac H. Michaels, DrPH
Data Source: www.basketball-reference.com
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.

Histogram showing the distribution of total rebounds per game among all qualified NBA players. The x-axis represents rebounds per game, and the y-axis represents the number of players. The figure shows how rebounding performance is distributed across the league.

League-wide Leaders: Total Rebounds Per Game
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position TRB
1 Nikola Jokić Denver Nuggets C 12.2
2 Karl-Anthony Towns New York Knicks C 11.9
3 Domantas Sabonis Sacramento Kings C 11.4
4 Donovan Clingan Portland Trail Blazers C 11.4
5 Rudy Gobert Minnesota Timberwolves C 11.2
6 Victor Wembanyama San Antonio Spurs C 11.1
7 Anthony Davis Dallas Mavericks PF 11.1
8 Zach Edey Memphis Grizzlies C 11.1
9 Ivica Zubac Los Angeles Clippers C 11.0
10 Jalen Johnson Atlanta Hawks SF 10.6
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.

Histogram showing the distribution of assists per game among all qualified NBA players. The x-axis represents assists per game, and the y-axis represents the number of players. The figure shows how passing and playmaking output varies across the league.

League-wide Leaders: Assists Per Game
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position AST
1 Nikola Jokić Denver Nuggets C 10.7
2 Cade Cunningham Detroit Pistons PG 9.6
3 Trae Young Atlanta Hawks PG 8.9
4 Josh Giddey Chicago Bulls PG 8.8
5 Luka Dončić Los Angeles Lakers PG 8.6
6 Jalen Johnson Atlanta Hawks SF 8.2
7 James Harden NA PG 8.1
8 James Harden Los Angeles Clippers PG 8.1
9 Ja Morant Memphis Grizzlies PG 8.1
10 Jamal Murray Denver Nuggets PG 7.6
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.

Histogram showing the distribution of steals per game among all qualified NBA players. The x-axis represents steals per game, and the y-axis represents the number of players. The figure shows how defensive takeaway performance is distributed across the league.

League-wide Leaders: Steals Per Game
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position STL
1 Kevin Porter Jr. Milwaukee Bucks PG 2.2
2 Kawhi Leonard Los Angeles Clippers SF 2.1
3 Cason Wallace Oklahoma City Thunder SG 2.1
4 Tyrese Maxey Philadelphia 76ers PG 2.0
5 Jalen Suggs Orlando Magic PG 1.9
6 Dyson Daniels Atlanta Hawks SG 1.9
7 Ausar Thompson Detroit Pistons SF 1.9
8 OG Anunoby New York Knicks PF 1.7
9 De'Anthony Melton Golden State Warriors PG 1.6
10 Herbert Jones New Orleans Pelicans SF 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


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.

Histogram showing the distribution of blocks per game among all qualified NBA players. The x-axis represents blocks per game, and the y-axis represents the number of players. The figure shows how shot-blocking performance varies across the league.

League-wide Leaders: Blocks Per Game
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position BLK
1 Victor Wembanyama San Antonio Spurs C 2.7
2 Evan Mobley Cleveland Cavaliers PF 2.0
3 Chet Holmgren Oklahoma City Thunder PF 2.0
4 Alex Sarr Washington Wizards C 2.0
5 Zach Edey Memphis Grizzlies C 1.9
6 Jay Huff Indiana Pacers C 1.9
7 Anthony Davis Dallas Mavericks PF 1.7
8 Myles Turner Milwaukee Bucks C 1.7
9 Isaiah Stewart Detroit Pistons C 1.7
10 Dylan Cardwell Sacramento Kings C 1.7
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.

Histogram showing the distribution of turnovers per game among all qualified NBA players. The x-axis represents turnovers per game, and the y-axis represents the number of players. The figure shows how ball-handling and possession control vary across the league.

League-wide Leaders: Turnovers Per Game
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position TOV
1 Luka Dončić Los Angeles Lakers PG 4.3
2 Deni Avdija Portland Trail Blazers SF 3.8
3 James Harden Los Angeles Clippers PG 3.7
4 Cade Cunningham Detroit Pistons PG 3.7
5 Jaylen Brown Boston Celtics SF 3.6
6 Nikola Jokić Denver Nuggets C 3.6
7 James Harden NA PG 3.6
8 Ja Morant Memphis Grizzlies PG 3.6
9 Josh Giddey Chicago Bulls PG 3.5
10 Stephon Castle San Antonio Spurs PG 3.5
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


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.

Histogram showing the distribution of personal fouls per game among all qualified NBA players. The x-axis represents fouls per game, and the y-axis represents the number of players. The figure shows how foul frequency is distributed across the league.

League-wide Leaders: Personal Fouls Per Game
2025-2026 Season
Data as of February 10, 2026 at 06:23 PM
Rank Player Team Position PF
1 Jaren Jackson Jr. NA C 3.8
2 Jaren Jackson Jr. Memphis Grizzlies C 3.8
3 Kyshawn George Washington Wizards SF 3.8
4 Dylan Cardwell Sacramento Kings C 3.7
5 Wendell Carter Jr. Orlando Magic C 3.6
6 Karl-Anthony Towns New York Knicks C 3.5
7 Onyeka Okongwu Atlanta Hawks C 3.5
8 Domantas Sabonis Sacramento Kings C 3.5
9 Dillon Brooks Phoenix Suns SF 3.4
10 Stephon Castle San Antonio Spurs PG 3.4
11 Zach Edey Memphis Grizzlies C 3.4
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


  1. This executive summary was generated by an AI summarizer agent and reviewed by an editor agent. I review any summaries flagged for revision.↩︎

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New York State Communicable Diseases Epidemiology Data Visualization

Explore comprehensive data on communicable disease incidence in New York State, featuring weekly updates and detailed analyses. This page presents visualizations including heat maps, bar graphs, and longitudinal trend graphs, derived from CDC data. Discover insights into disease patterns and trends,…

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