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🏀 Basketball Analytics Hub

An interactive R Shiny application for NBA Draft evaluation, rookie success prediction, player comparison, and front-office decision support.

🚀 Live Demo

👉 https://yfazp7-danny-thompson.shinyapps.io/basketball-analytics-hub/


Dashboard Preview

🏠 Home Dashboard

Home Dashboard


👤 Player Lookup

Player Lookup


⚖️ Player Comparison

Player Comparison


📋 Draft Rankings

Draft Rankings


📊 Team Grades

Team Grades

Live Application

👉 Live App: (Paste your Shiny URL here)


Features

📈 2026 NBA Draft Value Model

  • Model rankings for the 2026 NBA Draft class
  • Draft Value metric
  • Success Score predictions
  • Draft steals and reaches

🏀 Rookie Success Model

  • Historical NBA rookie success prediction
  • Probability of NBA success
  • Predictive modeling built in R

👤 Player Lookup

  • Search any player in the draft class
  • View:
    • Success Score
    • Model Rank
    • Draft Value
    • College statistics
    • Physical profile

⚖️ Player Comparison

Compare two prospects side-by-side.

Includes:

  • Model Preference
  • Success Score
  • Draft Value
  • College production
  • Head-to-head visual comparisons

📋 Draft Rankings

Interactive rankings with filters for:

  • Team
  • Success Score
  • Draft Value

📊 Team Draft Grades

Evaluate each NBA team's draft based on:

  • Average Success Score
  • Best draft pick
  • Total Draft Value
  • Team selections

🔄 Trade Value (Coming Soon)

Future module for evaluating NBA trade value using production, age, contracts, and team context.


Technologies

  • R
  • Shiny
  • dplyr
  • ggplot2
  • DT
  • readxl

Repository Structure

Basketball Analytics Hub/
│
├── app.R
├── global.R
├── server.R
├── ui.R
├── modules/
├── data/
├── www/
└── README.md

Related Projects

🏀 NBA Rookie Success Model

https://github.com/DannyTData/predicting-nba-career-success

📈 2026 NBA Draft Value Model

https://github.com/DannyTData/2026-nba-draft-value-model


Future Improvements

  • Player photos
  • Trade Value Model
  • Salary analysis
  • Draft simulator
  • Free agency tools
  • Team needs dashboard
  • Interactive visualizations

Author

Danny Thompson

Basketball Analytics | Predictive Modeling | Sports Data Science

Aspiring NBA/WNBA Basketball Operations & Analytics Professional

About

Interactive Shiny dashboard for NBA Draft analytics, rookie success prediction, player comparison, team draft grades, and front office decision support.

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