Basketball Season Tracking Analysis

February 22, 2026
Basketball Sports Data Visualization


Published: April 18, 2021
Updated: February 22, 2026 at 05:18PM



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

NBA Season Analysis: Briefing for February 22, 2026

As the NBA season advances into its later stages, team performance data reveal distinct tiers emerging across the league. At the top, the Oklahoma City Thunder (43 wins), Detroit Pistons (42 wins), and San Antonio Spurs (40 wins) have established a clear separation from the rest of the field. These teams have consistently accumulated victories throughout the season, a trend that began as early as November. The middle of the league standings remains densely packed, with 19 teams holding between 24 and 37 wins. At the bottom, a group of teams have struggled to maintain pace; the Sacramento Kings (12 wins), Brooklyn Nets (15 wins), and Indiana Pacers (15 wins) have each secured 15 or fewer victories to date.

One of the most notable patterns is the dominant and well-rounded performance of the Oklahoma City Thunder. Their league-leading 43 wins (a 75% win percentage) are supported by an exceptional point differential. The Thunder have a median point differential of +12, which is substantially higher than the next-closest contenders, the Pistons and Spurs, who both sit at +7. This suggests that Oklahoma City’s victories have been consistently decisive. Their success appears to be built on proficiency at both ends of the court, as they pair a high-powered offense that scores a median of 121 points with a defense that allows a median of just 108 points, one of the best marks in the league.

In stark contrast, a second notable trend is the recent and prolonged downturn for the Dallas Mavericks and Sacramento Kings. An analysis of cumulative wins shows that neither franchise has recorded a victory since February 3, a span of nearly three weeks. The Mavericks have remained at 19 wins, while the Kings have been stalled at 12. This period of stagnation is particularly striking when compared to the trajectory of teams like the New York Knicks, who added six wins between January 23 and February 3 alone. This pattern may indicate underlying performance issues for Dallas and Sacramento that have become more pronounced in recent weeks.

Beyond the win column, team statistics reveal different strategic compositions. For example, the Boston Celtics have achieved their 36 wins primarily through defensive strength, holding opponents to a median of 108 points, tied for the best in the league. Conversely, the Denver Nuggets rely on a potent offense that scores a league-high median of 122 points, though their defense is more average, allowing 115 points. The data also highlight how imbalance can be detrimental; the Utah Jazz score a high median of 119 points but have won only 32% of their games, a record that may reflect their league-worst defense, which concedes a median of 126 points per contest.

At the individual level, a mix of established stars and emerging talent populate the statistical leaderboards. Luka Dončić of the Los Angeles Lakers leads all scorers with 33.0 points per game, while the Oklahoma City Thunder’s Shai Gilgeous-Alexander is close behind at 31.8 points. Nikola Jokić of the Denver Nuggets continues to display all-around excellence, leading the league in assists (10.5 per game) while ranking in the top ten for both points (28.6) and total rebounds (12.3). On defense, San Antonio’s Victor Wembanyama is the premier shot-blocker with 2.7 blocks per game. It is important to note that some rate-based leaderboards, like field goal percentage, can be skewed by players with low shot volumes, requiring further context for a complete picture of efficiency.



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 22, 2026 at 05:18 PM
Rank Player Team Position G
1 DeMar DeRozan Sacramento Kings PF 58
2 Jeremiah Fears New Orleans Pelicans PG 58
3 Julius Randle Minnesota Timberwolves PF 57
4 Mikal Bridges New York Knicks SF 57
5 Matas Buzelis Chicago Bulls PF 57
6 Naz Reid Minnesota Timberwolves C 57
7 Toumani Camara Portland Trail Blazers PF 57
8 Donte DiVincenzo Minnesota Timberwolves SG 57
9 Derik Queen New Orleans Pelicans C 57
10 Royce O'Neale Phoenix Suns SF 57
11 Jay Huff Indiana Pacers C 57
12 Bruce Brown Denver Nuggets SG 57
13 Dru Smith Miami Heat SG 57
14 Oso Ighodaro Phoenix Suns PF 57
15 Sion James Charlotte Hornets SG 57
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 22, 2026 at 05:19 PM
Rank Player Team Position MP
1 Tyrese Maxey Philadelphia 76ers PG 38.6
2 Amen Thompson Houston Rockets PG 37.3
3 Kevin Durant Houston Rockets SF 36.7
4 Jalen Johnson Atlanta Hawks SF 35.7
5 Keegan Murray Sacramento Kings PF 35.7
6 Luka Dončić Los Angeles Lakers PG 35.6
7 Trey Murphy III New Orleans Pelicans SF 35.6
8 Anthony Edwards Minnesota Timberwolves SG 35.5
9 Jamal Murray Denver Nuggets PG 35.4
10 James Harden Los Angeles Clippers PG 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 22, 2026 at 05:19 PM
Rank Player Team Position PTS
1 Luka Dončić Los Angeles Lakers PG 33.0
2 Shai Gilgeous-Alexander Oklahoma City Thunder PG 31.8
3 Anthony Edwards Minnesota Timberwolves SG 29.5
4 Jaylen Brown Boston Celtics SF 29.2
5 Tyrese Maxey Philadelphia 76ers PG 28.9
6 Donovan Mitchell Cleveland Cavaliers SG 28.8
7 Nikola Jokić Denver Nuggets C 28.6
8 Giannis Antetokounmpo Milwaukee Bucks PF 28.0
9 Kawhi Leonard Los Angeles Clippers SF 27.8
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 22, 2026 at 05:19 PM
Rank Player Team Position FG%
1 Jericho Sims Milwaukee Bucks C 0.825
2 Jaxson Hayes Los Angeles Lakers C 0.773
3 Ryan Kalkbrenner Charlotte Hornets C 0.758
4 Mason Plumlee Charlotte Hornets C 0.750
5 Robert Williams Portland Trail Blazers C 0.748
6 Rudy Gobert Minnesota Timberwolves C 0.706
7 Goga Bitadze Orlando Magic C 0.691
8 Jakob Poeltl Toronto Raptors C 0.689
9 Mitchell Robinson New York Knicks C 0.688
10 Yanic Konan Niederhäuser Los Angeles Clippers C 0.675
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 22, 2026 at 05:19 PM
Rank Player Team Position 3P
1 Stephen Curry Golden State Warriors PG 4.5
2 Luka Dončić Los Angeles Lakers PG 3.7
3 Donovan Mitchell Cleveland Cavaliers SG 3.6
4 Michael Porter Jr. Brooklyn Nets SF 3.5
5 Anthony Edwards Minnesota Timberwolves SG 3.4
6 LaMelo Ball Charlotte Hornets PG 3.4
7 Kon Knueppel Charlotte Hornets SF 3.4
8 Grayson Allen Phoenix Suns SG 3.4
9 Sam Merrill Cleveland Cavaliers SG 3.4
10 Tyrese Maxey Philadelphia 76ers PG 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 22, 2026 at 05:19 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 NA SF 0.667
7 Kyle Anderson Utah Jazz SF 0.600
8 PJ Hall NA C 0.600
9 David Jones García San Antonio Spurs SF 0.600
10 Pete Nance Milwaukee Bucks PF 0.532
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 22, 2026 at 05:19 PM
Rank Player Team Position FT%
1 Jevon Carter NA PG 1
2 Jevon Carter Chicago Bulls PG 1
3 Ousmane Dieng Oklahoma City Thunder C 1
4 Doug McDermott Sacramento Kings SF 1
5 A.J. Lawson Toronto Raptors SG 1
6 Tyus Jones NA PG 1
7 Tyus Jones Orlando Magic PG 1
8 Dorian Finney-Smith Houston Rockets PF 1
9 Chaz Lanier Detroit Pistons SG 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 22, 2026 at 05:19 PM
Rank Player Team Position TRB
1 Nikola Jokić Denver Nuggets C 12.3
2 Karl-Anthony Towns New York Knicks C 11.8
3 Domantas Sabonis Sacramento Kings C 11.4
4 Donovan Clingan Portland Trail Blazers C 11.4
5 Rudy Gobert Minnesota Timberwolves C 11.3
6 Victor Wembanyama San Antonio Spurs C 11.2
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 10.7
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


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 22, 2026 at 05:19 PM
Rank Player Team Position AST
1 Nikola Jokić Denver Nuggets C 10.5
2 Cade Cunningham Detroit Pistons PG 9.8
3 Trae Young Atlanta Hawks PG 8.9
4 Luka Dončić Los Angeles Lakers PG 8.6
5 Josh Giddey Chicago Bulls PG 8.5
6 James Harden NA PG 8.2
7 Jalen Johnson Atlanta Hawks SF 8.2
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
11 Kevin Porter Jr. Milwaukee Bucks 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 22, 2026 at 05:19 PM
Rank Player Team Position STL
1 Kevin Porter Jr. Milwaukee Bucks PG 2.2
2 Cason Wallace Oklahoma City Thunder SG 2.1
3 Tyrese Maxey Philadelphia 76ers PG 2.0
4 Kawhi Leonard Los Angeles Clippers SF 2.0
5 Jalen Suggs Orlando Magic PG 1.9
6 Ausar Thompson Detroit Pistons SF 1.9
7 Dyson Daniels Atlanta Hawks SG 1.8
8 OG Anunoby New York Knicks PF 1.7
9 De'Anthony Melton Golden State Warriors PG 1.6
10 Luka Dončić Los Angeles Lakers PG 1.5
11 Donovan Mitchell Cleveland Cavaliers SG 1.5
12 Trey Murphy III New Orleans Pelicans SF 1.5
13 Amen Thompson Houston Rockets PG 1.5
14 Ryan Rollins Milwaukee Bucks PG 1.5
15 Paul George Philadelphia 76ers PF 1.5
16 Bilal Coulibaly Washington Wizards SG 1.5
17 Herbert Jones New Orleans Pelicans SF 1.5
18 Jordan Goodwin Phoenix Suns PG 1.5
19 Kris Dunn Los Angeles Clippers PG 1.5
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


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 22, 2026 at 05:19 PM
Rank Player Team Position BLK
1 Victor Wembanyama San Antonio Spurs C 2.7
2 Alex Sarr Washington Wizards C 2.0
3 Evan Mobley Cleveland Cavaliers PF 1.9
4 Chet Holmgren Oklahoma City Thunder PF 1.9
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 Scottie Barnes Toronto Raptors PF 1.6
11 Rudy Gobert Minnesota Timberwolves C 1.6
12 Dylan Cardwell Sacramento Kings 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.

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 22, 2026 at 05:19 PM
Rank Player Team Position TOV
1 Luka Dončić Los Angeles Lakers PG 4.2
2 Deni Avdija Portland Trail Blazers SF 3.9
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 James Harden NA PG 3.6
8 Ja Morant Memphis Grizzlies PG 3.6
9 Josh Giddey Chicago Bulls PG 3.6
10 Jalen Johnson Atlanta Hawks SF 3.4
11 Russell Westbrook Sacramento Kings SF 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


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 22, 2026 at 05:19 PM
Rank Player Team Position PF
1 Jaren Jackson Jr. Memphis Grizzlies C 3.8
2 Jaren Jackson Jr. NA C 3.7
3 Kyshawn George Washington Wizards SF 3.7
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 Stephon Castle San Antonio Spurs PG 3.4
10 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 Hate Crimes Violence Data Visualization

Explore comprehensive visualizations and trends on hate crimes across New York State and New York City. This page features maps, heat maps, and trend graphs detailing the distribution of hate crimes by bias motive, crime type, and county. Analyze monthly and yearly patterns, discover regional variat…

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