I'm passionate about using analytics to help basketball organizations make better decisions.
My work focuses on building tools that support the types of decisions made by NBA and WNBA front offices, including roster construction, salary cap strategy, draft evaluation, player analysis, and executive reporting.
Using R, Shiny, SQL, SQLite, DuckDB, and predictive modeling, I build interactive applications that transform basketball data into decision-support systems.
To contribute to an NBA or WNBA organization in:
- Basketball Operations
- Basketball Analytics
- Strategy & Research
- Front Office Decision Support
- Business Intelligence
Complete Basketball Operations Platform
A modular Basketball Operations platform designed to simulate tools used inside professional front offices.
- Executive Dashboard
- Salary Cap Intelligence
- Roster Intelligence
- Trade Analyzer
- Draft Assets
- Extension Simulator
- Five-Year Outlook
- Depth Chart Management
Technology
- R
- Shiny
- SQLite
- DuckDB
- golem
Repository:
https://github.com/DannyTData/basketball-operations-platform
Interactive basketball analytics application bringing together player evaluation tools into one dashboard.
- Rookie Success Prediction
- Player Comparison
- Player Lookup
- Draft Rankings
- Team Draft Grades
- Draft Value Model
Repository
https://github.com/DannyTData/basketball_analytics_hub
Predictive model evaluating NBA Draft prospects using:
- College Production
- Advanced Statistics
- Physical Measurements
- Draft Position
- Historical NBA Outcomes
Repository
https://github.com/DannyTData/2026-nba-draft-value-model
Historical predictive model estimating long-term NBA success from pre-draft statistics.
Highlights
- Logistic Regression
- Feature Engineering
- Historical Draft Analysis
- Model Evaluation
Repository
https://github.com/DannyTData/predicting-nba-career-success
Interactive dashboard built from live NCAA basketball data.
Features
- Team Performance
- Conference Standings
- Advanced Statistics
- Interactive Visualizations
Geospatial analytics project identifying the best airports for recruiting access to NCAA Division I programs.
Features
- GIS Analysis
- Interactive Maps
- Distance Calculations
- Recruiting Insights
Historical analysis comparing NBA payroll spending with team success across multiple seasons.
Features
- Cost Per Win
- Team Spending Trends
- Franchise Comparisons
- Historical Salary Analysis
- R
- SQL
- SQLite
- DuckDB
- Shiny
- golem
- tidyverse
- dplyr
- ggplot2
- plotly
- DT
- leaflet
- sf
- readxl
- Basketball Operations
- Salary Cap Analysis
- Roster Construction
- Draft Evaluation
- Predictive Modeling
- Player Evaluation
- Trade Analysis
- Executive Reporting
- Data Visualization
- Dashboard Development
- Business Intelligence
- Data Cleaning
- ETL
- Feature Engineering
- Statistical Modeling
- Interactive Reporting
I'm continuing to expand Thompson Basketball Intelligence into a complete Basketball Operations platform by developing:
- Advanced Trade Machine
- Salary Cap Planning
- Player Similarity Models
- Executive Reporting
- Draft Pick Valuation
- Lineup Optimization
- Free Agency Planning
- Roster Construction Tools
Alongside my basketball analytics work, I have experience in:
- Business Analytics
- Student Information Systems
- Data Reporting
- Process Improvement
- Cross-functional Collaboration
- Data Quality & Validation
This combination allows me to connect technical analysis with real-world operational decision making.
https://www.linkedin.com/in/danny-f-thompson/
"Turning basketball data into better decisions."