Central Football Analytics Portfolio | Engineering the Future of African Football Intelligence β½π | Dennis Gathu
# π Football Analytics Portfolio: The Kenyan Edge
### Engineering Tactical Superiority through Data & Multi-Agent Intelligence
## β½ Why This Portfolio Matters for Pro Clubs
In modern football, especially within the **KPL and East African regions**, the gap between high-performance and average performance is the ability to process data at speed. I build systems that don't just "report" what happened, but "predict" how to win.
### ποΈ Core Competencies
- **Automated Scouting:** Production-grade pipelines that ingest Metrica and StatsBomb data autonomously.
- **Tactical "Digital Twins":** Simulating match scenarios (e.g., high-press outcomes) using Clojure's immutable data structures.
- **Market ROI:** Leveraging 1.5 years of professional betting BI to identify undervalued talent (Moneyball for Africa).
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## π Case Studies & Key Projects
### 1. AgentRZA: The Scouting Engine
**Problem:** Scouting departments are overwhelmed by manual data entry and inconsistent metrics.
**Solution:** A multi-agent system that autonomously fetches, cleans, and enriches match data with xG and Pitch Control metrics.
- **Club Impact:** Reduces technical scouting overhead by 80%.
- **Tech:** Python, LangGraph, DuckDB, Fernet Encryption.
### 2. heinze: The Tactical Oracle
**Problem:** Coaches cannot test tactical adjustments in real-time during a match.
**Solution:** A real-time tactical simulation tool that identifies defensive vulnerabilities and suggests shape corrections.
- **Club Impact:** Empowers the "Touchline Assistant" with data-backed defensive adjustments.
- **Tech:** Clojure, Parallel Simulation, Vector-based Time Travel.
### 3. house-hedge: Proven Betting Intelligence (Transferable to Scouting ROI)
**Problem:** High-value player recruitment is often based on emotion rather than objective ROI.
**Solution:** A platform built and run in a live betting environment β exact multi-agent + xG + ROI logic now being adapted for player valuation and recruitment optimization (Mo β¦