- 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.
- 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:
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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