All work

SPORTS DATA

Sports statistics & odds pipeline (BetExplorer)

Sports analytics · 3 weeks

100k+
matches parsed
seasons
of history
structured
results + odds
analysis-ready
exports

The brief

Problem, approach, result.

PythonBeautifulSoupPandasSQLite

Problem

Match results and odds were scattered across thousands of pages, useless for analysis until someone turned them into structured data.

Doing that by hand, across multiple seasons and competitions, was a non-starter.

Approach

  • Crawled results and odds pages across competitions and seasons, respecting the site’s structure.
  • Parsed each match into structured rows, teams, scores, dates, odds, and validated them.
  • Exported analysis-ready datasets ready to drop straight into modelling.

Result

A clean historical dataset replaced thousands of unstructured pages, ready for analysis and modelling.

What would have been weeks of manual collection became a repeatable, re-runnable export.

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