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Hockey Analytics & Sports Data Science

Specialist coverage of AI-powered hockey analytics, NHL player analysis, Swedish NHL players, and advanced sports data science techniques.

A specialist niche combining NHL data, machine learning, and sports analytics. Topics include referee bias analysis, Stanley Cup prediction models, equipment physics, and Swedish NHL player performance. These projects demonstrate data science and AI applied to hockey-specific questions, often with reproducible methodology.

Articles

LINHAC 2026 — Conference Report

field note ·
LINHAC 2026 confirmed a clear shift: hockey analytics is becoming core infrastructure, not a side project. This report summarizes the strongest research signals, practical club examples, and what organizations should prioritize next.

22 Articles in 26 Days: Session Data, Keywords, and What the Automation Actually Produces

case study · · Updated
Four weeks of build in public: 22 n8n tutorials published, 951 sessions, 38 ranked keywords, and 2 top-10 rankings — without a single external backlink. Here are the numbers, without spin.

Building With AI Agents as Co-Workers: My Stack, My Costs, and What I Actually Learned

field note ·
How I run a 10+ project publishing studio with AI agents as co-workers — the real stack behind it: OpenClaw, n8n, LiteLLM, Coolify, and a €26/month server bill.

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