slieb74 / NBA-Shot-Analysis
Visualizations to better understand NBA shooting tendencies and efficiency and classification models to predict shot outcomes
☆38Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for NBA-Shot-Analysis
- A new and non-invasive method of tracking Players in a Soccer Match.☆18Updated 5 years ago
- A tutorial on using cross validation and calibrating predictions for expected goals models in soccer☆32Updated 4 years ago
- Creating simple passmaps using Statsbomb's data☆21Updated 4 years ago
- Jupyter notebook tutorials for football analytics☆9Updated 3 years ago
- A python implementation of the paper Wide Open Spaces: A statistical technique for measuring space creation in professional soccer☆22Updated 4 years ago
- Comprehensive Guide to explaining, creating and using an xG model☆34Updated 3 years ago
- A scraper to scrape the NBA API and compile a play by play file☆70Updated last year
- Tutorials for some common NBA stats questions in both python and R☆81Updated 2 years ago
- Demo of NBA Expected Possession Value model☆73Updated 8 years ago
- Building a shot probability model from NBA shot chart data☆11Updated 4 years ago
- Track xy coordinates of events on a soccer pitch☆24Updated 7 years ago
- Convert StatsBomb's JSON data into easy-to-use CSV format.☆50Updated 5 months ago
- A streamlit app to convert images to top-down view and get coordinates of objects, built for football data collection☆74Updated 11 months ago
- A growing collection of college basketball visualizations and their source code☆13Updated 10 months ago
- R package to scrape soccer commentary and statistics from ESPN☆28Updated 2 years ago
- Scripts for analyzing NBA sportvu motion data☆100Updated 7 years ago
- Big Data Cup 2022: Powered by Stathletes☆49Updated 2 years ago
- Repository which contains various scripts and work with various basketball statistics☆152Updated 9 months ago
- Data collection, processing, visualization, modeling, and ideation in the space of sports analytics☆33Updated 3 years ago
- SoccerMix is a soft clustering technique based on mixture models that decomposes event stream data into a number of prototypical actions …☆40Updated 4 years ago
- Synchronise event and tracking data using dynamic programming☆58Updated last year
- An implementation of Karun Singh's Expected Threat with R. Data in the SPADL form is required.☆22Updated 3 years ago
- Where to find Sports data (R/Python/Other Languages)☆103Updated 3 years ago
- hockey data crawled from nhl.com and eliteprospects.com☆15Updated 6 years ago
- ☆14Updated 7 years ago
- Python package that wraps the ASA API☆47Updated last week
- Working through Basketball Data Science☆23Updated 4 years ago
- Create a database of ⚽️ data from understat.com☆26Updated 3 years ago
- Soccer Plotting Library☆31Updated 3 years ago
- An extendable Statsbomb API wrapper for data-pipelines☆49Updated 2 years ago