Statsyuk Analytics
Credits
Evan Cohen
Frontend & Full‑stackFull‑stack for this page: Next.js, Express.js, React, JavaScript/TypeScript, and database connectivity. Implemented high‑performance UI/UX and Chart.js visualizations for fast, accessible analytics.
Tanner Manett
Data EngineeringPostgreSQL schema (NeonDB), Python ETL (SQLAlchemy, Pandas, NumPy), data integrations (NHL APIs), and analytics models & services.
Our NHL analytics mission
We build fast, reliable NHL analytics that make advanced insights accessible to everyone. Our focus is pairing trustworthy data engineering with clean visualizations so coaches, players, and fans can understand the game in real time. From traditional stats to xG-based models and danger-zone analysis, our tools aim to surface context and clarity—not noise—so you can make smarter decisions on and off the ice.
Players — General
Sortable table of skater stats.
Players — Advanced (Beta)
xG, shot quality, and more.
Teams — Standings
Live standings with form and splits.
Goalies — General
League-wide goalie performance.
Goalies — Advanced (Beta)
Danger zones, xGA, and trends.
Query Tool
Run custom queries (experimental).

Skater Overview
Quickly compare players across key metrics.

Advanced Insights
Visualize xG, shot maps, and danger zones.

Fast Navigation
Jump to players, goalies, and teams instantly.