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|NBA Teams That Have Analytics Department|
Last updated: April 23, 2017Contribute to this list by sending your tips / corrections to
The list includes the NBA teams using advanced stats by either employing basketball analytics professionals or working with statistical consultants.The NBA itself also hires
professionals; Evan Wasch who is the Senior Vice President of Basketball Strategy & Analytics and Jason Rosenfeld serving as the director of analytics.
Dan Rosenbaum (Director of Basketball Operations & Analytics)
Mike Zarren (Assistant General Manager & Team Counsel), David Lewin (Director of Player Evaluation), David Sparks (Director of Basketball Analytics), Drew Cannon (Analyst)
Glenn DuPaul (Director of Basketball Analytics), Rami Antoun (Basketball Analyst), Logan MacPhail, (Director of Coaching Analytics)
Ben Woldenberg (Coaching Associate, Analytics)
Steve Weinman (Basketball Operations and Analytics Manager), Miles Abbett (Basketball Analytics Coordinator)
Jon Nichols (Director of Analytics)
James Brocato (Director of Basketball Analytics), Chris Newell (Basketball Analytics & Strategy), Mondrick Jones (Player Analytics Manager)
Tommy Balcetis (Basketball Analytics Manager), Layne Vashro (Senior Analyst)
Zach Bradshow (Basketball Analytics Manager)
Kirk Lacob (Assistant General Manager), Samuel Gelfand (Coordinator of Basketball Analytics)
Daryl Morey (General Manager), Ed Kupfer (Consultant), Eli Witus (Basketball Operations Analyst), Monte McNair (Basketball Operations Analyst)
Ryan Renteria (Basketball Analytics Coordinator)
Jud Winton (Director of Basketball Analytics), Gregory Peim (Manager of Basketball Analytics)
Yuju Lee (Director of Analytics), Aaron Danielson (Associate Director of Analytics)
John Hollinger (Vice President of Basketball Operations)
Shane Battier (Director of Basketball Development and Analytics), Bob Chaikin (Basketball Analyst)
Michael Clutterbuck (Director of Basketball Analytics), Seth Partnow (Analytics Consultant)
Matt Bollero (Manager of Basketball Analytics, Personnel Video Scout), Dwight Lutz (Basketball Operations Analyst), Nick Restifo (Basketball Operations Analyst)
Shane Kupperman (Coordinator of Statistical Analysis)
Mike Smith (Director of Analytics and Pro Scout), Richard Dry (Director of Sports Technology)
Jesse Gould (Director of Basketball Research & Analysis), Wynn Sullivan (Basketball Data Analyst), Ryan Shea (Basketball Data Analyst), Thomas Perry (Data Scientist)
David Bencs (Basketball Analytics Manager)
Dr. Lance Pearson (Coordinator of Coaching Analytics), Sergi Oliva (Director of Basketball Analytics & Innovation), Alex Rucker (Vice President - Analytics and Strategy), Andy Miller (Senior Researcher), Alex DíAmour (Senior Researcher), Alex Franks (Senior Researcher), Grant Fiddyment (Data Scientist), Michael Lai (Data Scientist)
Steve Ilardi (Analytics Consultant), Eddie Kendralla (Manager, Business Analytics), Jake Loos (Senior Analytics Manager), Anthony So (Analyst)
Zach Williams (Basketball Data Analyst), Ryan Parker (Statistical Analyst)
Luke Bornn (Vice President of Strategy and Analytics), Tom Duncan (Senior Analytics Manager)
Gabe Farkas (Director of Basketball Analytics), Kirk Goldsberry, (Basketball Analytics Coordinator)
Keith Boyarsky (Director of Analytics), Eric Khoury (Manager of Analytics)
Taylor Snarr (Coordinator of Analytics)
Gregory Kershaw (Basketball Operations Coordinator)
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Neural networks are one of the machine learning systems in sports. By the help of neural networks, datasets are learned by the system and hidden trends can be revealed for creating a competitive edge.
Simulations and machine learning systems means a lot for sports analytics. The ability to apply statistics and rigorous mathematical models to provide instantaneous results is quickly becoming an invaluable commodity. Systems of this type vary from simulations that model an entire upcoming seasonís worth of data to identify the best chance of winning, to simulations that identify weaknesses in motion and offer advice for correcting them.
Other than statistical predictive algorithms, neural networks can be used as sports betting and fantasy league tools in following ways;
Other machine learning techniques include;
|New England Statistics Symposium NESSIS|
NESSIS is an event in which statisticians from all over the world come together and present academical studies. NBA and other sports analytics community has been benefiting from NESSIS that many studies on statistics regarding professional sports are being introduced first time at NESSIS just like MIT Sloan Sports Analytics Conference.
The first New England Statistics Symposium was held at the University of Connecticut, which traditionally hosts the Symposium on alternate years. Now, The Department of Statistics of Harvard University hosts the New England Statistics Symposium.