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My (publicly available) R packages:

  • matuR: Calculate and plot athlete maturation and biobanding metrics.
  • airball: Extract schedule density, travel related metrics and injury transactions for NBA teams since 1947.
  • bdgramR: Human body diagram visualizations and ggplot2 extensions in R.

Shiny APPs:

  • NBA Schedule Density: An app to visualize and interact with various schedule & travel related factors for the 2016-21 seasons.
  • NBA EPV Dashboard: A conceptual dashboard idea to visualize Expected Possession Value (EPV) in Basketball resembling a stock trading app.
  • Basketball Event Tracker An app to plot basketball events and export the dataset with the corresponding coordinates and other related info.
Research Collaborations:

  • Casals M., Fernández J., Martínez V., Lopez M., Langohr K., & Cortés J. (2022). A systematic review of sport-related packages within the R CRAN repository. International Journal of Sports Science & Coaching, 0(0). Link

  • Torres-Ronda L, Gámez I, Robertson S, Fernández J (2022) Epidemiology and injury trends in the National Basketball Association: Pre- and per-COVID-19 (2017–2021). PLoS ONE 17(2): e0263354. Link

  • Schelling X, Fernández J, Ward P, Fernández J, Robertson S. (2021) Decision Support System Applications for Scheduling in Professional Team Sport. The Team's Perspective. Front Sports Act Living. Jun 4;3:678489. Link

  • Cohan, A, Schuster, J, Fernández J. (2021) A Deep Learning Approach to Injury Forecasting in NBA Basketball. Journal of Sports Analytics. 1 Jan. 277 – 289. Link

  • Schuster, J, Fernández J, Cohan, A. (2021) Hiding in plain sight: Schedule density and travel influence on NBA games outcomes. First ever scientific sports paper released as NFT on Opensea.io. December 2021. Link

Jose Fernandez's Projects

airball icon airball

An R package to extract common schedule and travel metrics for NBA teams.

bdgramr icon bdgramr

Figure Coordinates for Visualizations of Human Body Diagrams

body_avatars_in_r icon body_avatars_in_r

Integrating body avatars (or body diagrams) within markdown reports and shiny apps

chatgpt_shinyapp icon chatgpt_shinyapp

A minimal R Shiny App application that enables users to interact with GPT-3

epv_nba_dashboard icon epv_nba_dashboard

A conceptual dashboard to visualize Expected Possession Value (EPV) in the NBA.

graphicaldt icon graphicaldt

Basic shinyapp displaying a graphical table. Proof of concept.

maskon icon maskon

A simple IOS app (game) built in swiftUI to educate my nephew on how to properly wear a mask.

matur icon matur

R package for Athlete Maturation and Biobanding information and reporting.

nba-draft-tool-app icon nba-draft-tool-app

A trading tool app for the NBA based on the 2017 NBA Draft Pick Trade simulator by Kevin Pelton.

nba-game-density-app icon nba-game-density-app

An app to visually explore the density (and other related factors) of the schedule for NBA teams.

nba-scrolly-travel-app icon nba-scrolly-travel-app

A simple 'scrollytelling' app showing differences in travel (flight trajectories and mileage) for NBA teams over the last 3 seasons.

nba_schedule_xgboost_classifier icon nba_schedule_xgboost_classifier

Predicting NBA game outcomes using schedule related information. This is an example of supervised learning where a xgboost model was trained with 20 seasons worth of NBA games and uses SHAP values for model explainability.

push_notes_to_athlete icon push_notes_to_athlete

A basic athlete dashboard built in Shiny that enables coaches send notes directly to athletes's phone from the app.

r_intro_workshop icon r_intro_workshop

Materials from a 1hr introductory workshop on the basics of R programming for Strength Coaches without any previous experience.

shinyams-resources icon shinyams-resources

A compilation of resources for sport scientist building Athlete Management Tools in Shiny

sportsdrawer icon sportsdrawer

Minimal app to showcase the drawing functionalities of the fabricerin package using sport specific examples.

sportvu_nba_tracking icon sportvu_nba_tracking

A working workbook looking at physical demands of plays in NBA using SportVU legacy data.

swiftui_basketball_clipboard icon swiftui_basketball_clipboard

A basic prototype of digital basketball clipboard app built on swiftUI. It enables free drawing as well as dragging of players around the court.

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