NBA Analytics Projects by Sravan

Setup

• Most of the code in this repo is written in Python or iPython (jupyter) notebooks. You need python to run the code.
• You can install the packages required by this repo using poetry.
• After installing poetry, just run

poetry install

• This command will install all the packages used to run the different codes in this repo.
• Some of the notebooks also contain R code along with python for creating pretty tables and charts. The R code in jupyter notebooks is handled by the rpy2 package, which is installed automatically using poetry
• In addition to rpy2, running R code also requires a working R install.
• The code in the R folder also requires R.

Project List

1. Play-by-Play Related Stuff
   • Uses pbpstats API
   • Frustration fouls
   • Euro fouls for player and team
   • Coast-to-coast buckets and assists
   • Assists after offensive rebounds
   • Chasedown blocks?
2. Plot Shot Charts
   • Plot location heat maps for NBA and WNBA
   • Plot shot hex map using NBA API and plotly
3. Team Ratings
   • NBA SoS Adjusted Ratings
   • Adjusted Efficiency Landscape
   • Four Factor Analysis
   • Simple Win Loss Model using Rolling Net Rating
   • Rolling Team Ratings
4. Leaderboards
   • Create Player Leaderboards in various categories
   • Create Team Leaderboards
5. R based Visualizations and Analysis
   • Bad calls analysis based on L2M reports
   • NBA Histograms: Weighted Player Age Distribution
   • NBA Ratings aggregated from different sources
   • NBA Efficiency Landscape
6. Import and Update Data
   • Using NBA API and pbpstats API
   • Save player data
   • Save league data
   • Update possession data
   • Import shot location data using NBA API
   • Get shot data using PBP Stats API
   • Import possession data for RAPM
   • Functions exist to import this data for use in other projects
7. Player Analysis
   1. 3PT Shooting and FT Shooting Correlation
      • Using NBA API
      • Get different type of 3 PT shooting data
      • Find and plot correlations between them and FT shooting
   2. Wingspan and Defense Correlation
      • Using NBA API
      • Get wingspan, height and standing reach from draft data
      • Get rim protection data
      • Find and plot correlations
8. Tweeting Bots (Might not work because of new Twitter API)
   • Uses Tweepy API
   • Gets Shot data from NBA API
   • Plots shotchart
   • Tweets out data and shotchart when you run this file
   • Added .bat file to enable automatic scheduling using Windows Task Scheduler
   • You need to apply for developer access and get your own authentication tokens to enable tweeting