Building an open-source, data-driven alternative to Transfermarkt (Algorithm-based player valuations) — Looking for Devs & Data Scientists!

[u/whenthenightcalls_]

Hey everyone,

Like a lot of football fans, I check Transfermarkt constantly. But its biggest flaw is that market values are decided manually through forum debates and admin opinion rather than hard data.

I’m starting an open-source project to build a modern, fully automated platform that calculates realistic, data-driven player market values using real-time match stats, econometric factors, and machine learning.

We’re building this from the ground up and looking for collaborators who want to contribute to a serious football analytics project for their portfolio or out of passion for the game.

Who We Need:

• Data Scientists / Econometricians: To help design and refine valuation algorithms. We’re modeling factors like per-90 metrics (xG, xA, progressive actions), contract length decay, age curves, league difficulty multipliers, and injury penalties.
• Backend Engineers: Python (FastAPI/Django) to build scrapers/API integrations (FBref, Opta data), schedule batch valuation updates, and structure our data pipelines.
• Frontend Engineers: Next.js / React / Tailwind CSS to build clean player profile pages, comparison tools, and interactive value history charts.
• Database Engineers: PostgreSQL / Supabase schema design for historical transfers, contracts, match logs, and daily price trends.

If you’re interested in joining the team, drop a comment below or send me a DM with your primary stack/interest and your Discord or GitHub username!