DTA | EddieSilva.com
An independent football intelligence platform that turns official Brazilian league data into transparent probabilities, public metrics, and decision-ready insights.
An independent football intelligence platform that turns official Brazilian league data into transparent probabilities, public metrics, and decision-ready insights.
DTA helps fans, analysts, media professionals, and decision-makers understand not only what happened in a football round, but what is likely to happen next and why.
Football arguments deserve data, transparency, and models that can be judged against real outcomes.
DTA, short for Dados, Tecnologia e Análises — Data, Technology and Analytics — is an independent sports intelligence platform built to transform official Brazilian football data into transparent, auditable insights.
The project uses the Brazilian league as a public laboratory for applied statistical modeling. Instead of publishing opinions or generic predictions, DTA turns real match data into measurable probabilities, season scenarios, and performance indicators that anyone can inspect.
At its core, DTA is a full-stack data product. It includes an ingestion pipeline that processes official match reports and financial bulletins, extracts structured information such as goals, cards, referees, attendance, gross revenue, net revenue, and match events, and stores that information in a database that powers the platform.
On top of that data layer, DTA generates 1X2 probabilities — home win, draw, and away win — along with round-by-round projections and season-level simulations. The platform also exposes public evaluation metrics such as Brier score and Log Loss so users can judge model quality for themselves.
This makes DTA more than a football website. It is a public-facing analytics system where predictions are continuously checked against real outcomes.
The user experience is designed to make complex sports analytics accessible. DTA brings together standings, round pages, match detail views, disciplinary tracking, referee analysis, attendance and revenue dashboards, top scorers, goalkeeper stats, model metrics, and editorial explainers in one interface.
A new user can browse the current round, compare probabilities across matches, track suspensions and cards, review club attendance and revenue trends, and see how well the predictive model has performed over time.
The emphasis is on clarity, trust, and evidence, so the product feels useful both to casual football fans and to more data-oriented users.
As a portfolio project, DTA demonstrates the full path from messy real-world data to a polished public product: collecting official data, parsing documents, structuring events, building database workflows, creating predictive models, validating outputs, designing backend APIs, and presenting the results in a way that feels credible and useful.
It combines data engineering, applied modeling, backend development, database design, frontend product design, and editorial storytelling into one end-to-end analytics system.