Football data analystMadrid

Football intelligence,
built from data.

I turn match event data into tactical insight, interactive tools and visual stories for coaches, analysts and football decision-makers.

Explore my work Latest analysis
  • Match analysis
  • Data products
  • Tactical scouting
Real match data
Match Explorer Passing analysis
Match Explorer progressive passing analysis for Genoa
Pressing 11.32 Genoa · PPDA
Progression 741 m progression gained
31 / 71 progressive passes

Selected work 01

From raw match events to a tactical workflow.

Match Explorer is the product at the centre of my football analysis work: one environment to move from data to patterns, questions and visual evidence.

Match Explorer Passing networks
Match Explorer side-by-side passing network comparison
Real match data
655 / 669Napoli attributed passes
266 / 283Udinese attributed passes

Match Explorer · Data product · 2025

Analyse the match, not the spreadsheet.

Built in Python and Dash, Match Explorer connects event data, tactical metrics and visual analysis in one interactive environment designed around the way a match analyst actually works.

  • 01Explore build-up, progression, pressing, transitions and set pieces.
  • 02Move between team views, match context and player-level evidence.
  • 03Turn outputs into clear pre-match and post-match stories.
PythonDashPlotlySQL
View project on GitHub
Il Lab dell'8
Latest intelligenceIl Lab dell'8

Football analysis 02

From the data to the match, one question at a time.

Pre-match · Serie A · 30 Aug 2026

Napoli–Como: the battle for control.

Como use possession to control territory, press after losses and reduce the opponent's attacking volume. Napoli must beat the first pressure and protect the seconds after every turnover.

Read the analysis Explore the Lab
Possession & territory · Como 2025/26
Como 2025/26 in the Serie A possession and territory quadrant
PPDA · aggressive pressure8.85
61.6%average possession
57%August build-ups reach opposition half

More work 03

Technical depth, kept close to football.

Three smaller projects that show the engineering behind the analysis — computer vision, automated reporting and relational data modelling.

Computer vision player and ball tracking output

Computer vision · 2024

Player & ball tracking

A custom YOLOv8 + ByteTrack pipeline for detecting, tracking and separating teams from match footage.

YOLOv8ByteTrackKMeans
View project
Automated Premier League reporting output

Automation · 2024

Automated football reporting

A scheduled R workflow that scrapes FBref, transforms daily data and publishes repeatable HTML reports.

Rrvestrmarkdown
View project
Entity relationship diagram for football injury database

Data modelling · 2024

Football injury database

A normalized SQL schema for player injuries, treatments and specialist involvement, built for reliable querying.

SQLRelational modelData integrity
View project

About 04

Mathematics gave me the method.
Football gave me the questions.

I'm Michele Orefice, a football data analyst based in Madrid. My background in Mathematical Engineering and a Master's in Big Data applied to Football shapes the way I approach analysis: start with the football question, build the right data structure, then turn the result into evidence that can actually be used.

My work sits at the intersection of match analysis, data products and visual storytelling — from exploring event data to building interactive tools and translating patterns into clear tactical narratives.

BackgroundMathematical Engineering
SpecialisationBig Data applied to Football
TrainingEscuela Universitaria Real Madrid · Universidad Europea
FocusMatch analysis · Data products · Visual storytelling
Connect on LinkedIn Get in touch
Portrait of Michele Orefice
Football Data AnalystMadrid, Spain

What I do 05

Data, analysis and delivery — built for football decisions.

I work across the full analysis chain: framing football questions, shaping the right product and engineering the workflow that keeps insights reliable and repeatable.

01

Match analysis

Pre-match, post-match and opponent-focused work built around the tactical questions that matter most to coaches and performance staff.

Pre-matchPost-matchOpponent analysisGame phasesTactical patterns

02

Data products

Interactive dashboards and custom tools that turn raw event data into environments for exploration, reporting and decision support.

DashboardsMatch ExplorerVisual toolsReportingDecision support

03

Automation & data engineering

From scraping to structured pipelines, I build the technical backbone that keeps football analysis scalable, consistent and reusable.

ScrapingPythonSQLPipelinesAutomation

Contact 06

Have a match, a question, or a dataset?
Let's make it useful.

If you are working on opponent analysis, a football data product or a workflow that needs to become clearer and more repeatable, tell me what you are trying to solve.

Prefer email? hello@micheleorefice.com
Based inMadrid, Spain