Federico Viarengo
Reading data - on and off the courtData analysis and research
Statistical modeling
Basketball coach
About Me
I am a quantitative analyst and applied researcher with a background in behavioural economics and experience across applied research, policy evaluation, and data-driven consulting.Beyond my passion for numbers, I played basketball for 20 years and have been coaching for the past 8. Recently, I started exploring the world of basketball through data, trying to bring these two worlds together. That's how I started building a few GitHub repositories in Python, where I enjoy analyzing EuroLeague seasons through numbers.
Areas of Expertise
My work spans data analysis and statistical modelling using econometric methods, and survey research involving survey design, data cleaning, and descriptive and inferential analysis. I develop monitoring and evaluation frameworks for research and policy projects, and turn analytical results into clear reports.
Selected Experience
Miscellanea
Where basketball and data intersect.
Olympiacos 2025-26: a shot data analysis
Exploring the EuroLeague champions' season through shot-level data: shot selection, efficiency, and what separates wins from losses.
Zalgiris Kaunas: the home court effort effect11 seasons of EuroLeague data on how a loud home crowd shows up in stats that come from effort.
Baskonia: debunking (and confirming) the comeback mythPlay-by-play data on whether a loud home crowd really helps teams come back from big deficits.
Hot arenas, big deficits: does crowd intensity predict comebacks?Extending the Baskonia analysis to 5 of EuroLeague's loudest arenas.
Fast breaks, second chances, turnovers: how much do easy points really matter?EuroLeague team data, 2015-2025, testing whether transition points, putbacks, and forced turnovers separate winners from losers.
The Moreyball shift: how EuroLeague shot selection changed, 2015-2025EuroLeague team data, tracking the shift from mid-range shots to the 3-point line, and the shot-value math behind it.
