In this blog post, we are visually presenting Direct Offensive Contribution and Direct Offensive Efficiency stats for the most elite NBA players. After developing our advanced offensive indicators for involvement, contribution and efficiency, we had to wait for a couple of years to start observing changes over time.
Category: NBA players stats
Does acquiring NBA stars lead to winning?
Last offseason a lot of NBA stars were traded. Consequently, we asked ourselves to what extend acquiring stars leads to winning. We combined data from different tables and carried out statistical analysis with a dataset of 32 NBA star players, traded or signed in free agency between 2000 and 2016.
EuroBasket 2017: European rising stars now vs. best European NBA players in the past
After some excellent performances of certain up-and-coming European rising stars, such as Markkanen, Doncic and Porzingis, we analyzed their EuroBasket numbers and compared them to the best European NBA players’ stats when they were the same age.
Who is the Average Joe of the NBA?!
To find the most average NBA players we analysed our advance offensive indicators (INV Rate, DOC, DOE) as well as defensive statistics (DWS, DBPM) and salaries for 2016/2017. The All-NBA Average team includes: Austin Rivers, Bojan Bogdanovic, Matt Barnes, Willie Cauley-Stein and Aron Baynes.
“Direct Offensive Efficiency”, an advanced indicator including both offensive input and output
Direct Offensive Efficiency (DOE) is a “real” efficiency indicator, taking into account both offensive involvement and contribution. The results revealed that the indicator successfully presents another dimension of offensive game.
“Direct Offensive Contribution (DOC)”: new advanced basketball statistics for measuring player’s offensive impact
This time we are presenting new offensive impact indicator, Direct Offensive Contribution (DOC). The formula includes points scored, (2nd) assisted points, screen assisted points, offensive rebounds created points and free-throw assisted points.
New advanced basketball statistics for measuring direct offensive involvement, contributions and impact: “Involvement Rate (INV Rate)”
We are presenting new “usage” indicator, Involvement Rate (INV Rate). In a way similar to Usage % and Usage Rate, yet it expands usage to other dimensions of player’s offensive game and narrows the gap between guards and power forwards/centers.
2017 NBA MVP race Vol. 2: Breaking down candidates’ offensive games
We are breaking down offensive possessions of the top 5 MVP contenders this season: Russell Westbrook, James Harden, Stephen Curry, LeBron James and Kawhi Leonard. We used both traditional as well as advanced offensive statistics and presented data visually.
2017 NBA MVP race Vol. 1: Linear Regression says James Harden!
We are presenting the results of our first MVP data analysis. Linear regression estimates revealed that James Harden should receive a higher total number of points than Russell Westbrook.
Who is chasing triple-doubles?!
Was Russell Westbrook chasing triple-doubles and Oscar Robertson’s record? What about other versatile NBA players, do they chase those individual achievements as well?
To answer those questions we simulated data for Russell Westbrook, James Harden, LeBron James, Nikola Jokic and Draymond Green.