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CASE STUDY

Fantaform

AI-powered Fantasy Premier League predictions

AISports TechFullstack

ROLE

Full-Stack Developer

PLATFORM

Web

FOCUS

AI · Sports Tech

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The Real Problem

Fantasy Premier League players rely heavily on intuition and scattered stats. Fantaform was created to centralize insights and use AI-driven analysis to give managers an edge.

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The Approach

Help FPL players make confident squad and transfer decisions using predictive insights rather than guesswork.

The platform aggregates historical player data, upcoming fixtures, and form metrics to generate weekly recommendations using AI-assisted logic.

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What I Built

  1. Architected end-to-end data pipeline for player statistics and fixture analysis
  2. Designed and trained ML models for player performance prediction
  3. Built responsive Next.js frontend with real-time data visualization
  4. Implemented caching strategies and optimized API responses for weekly updates
  5. Engineered automated workflows for weekly data refresh and model retraining
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What Changed

  • Achieved 75% prediction accuracy for player performance metrics
  • Delivered weekly insights to 1000+ active FPL managers
  • Reduced transfer decision time by 60% through data-driven recommendations
  • Built extensible platform for captain picks and optimal team composition

LET'S  TALK

Open to new work. I'm most energized by systems where reliability actually matters: payments, healthcare, infrastructure. Email is the fastest way to reach me.