ATP ranking gap and upset probability
An analysis of ATP matches exploring how ranking difference relates to the probability of an upset, with binned curves and chart-ready outputs for editorial publishing.
Data Analytics · Sports · Web Development
I turn messy datasets into clear stories, useful visuals and practical decisions.
I am a web developer moving deeper into data analytics, with a strong focus on sports analytics, Python notebooks, reproducible workflows and visual explanations built for real audiences.
Featured projects
Selected analyses focused on asking a clear question, building a reproducible workflow and communicating the result visually.
Pistoia playout prediction
A basketball analytics notebook built to answer a practical question: who is Pistoia most likely to face in the Serie A2 playout, using available team data and clear assumptions.
Skills
A mix of analytics, communication and production skills from web development and sports media work.
Analysis
Python, Pandas, SQL, exploratory analysis, data cleaning.
Visualization
Matplotlib, Datawrapper, dashboard thinking, chart storytelling.
Web
HTML, CSS, JavaScript, Laravel, Vue, Git, Docker.
Communication
LinkedIn writing, match reports, commentary, audience-first explanations.
About me
I am Simone Morieri, a web developer based in Tuscany, Italy. My background is in building websites and digital products, and I am now applying that technical foundation to data analytics.
My strongest interest is sports analytics: turning raw match data into insights that coaches, fans and decision-makers can actually use.
What I am looking for
I am interested in opportunities where data, product thinking and communication meet: Data Analyst roles, web/data hybrid roles, and sports analytics projects.