Credits

Evan Cohen

Frontend & Full‑stack

Next.js, React, JavaScript/TypeScript, and database connectivity. Implemented high‑performance UI/UX and Chart.js visualizations for fast, accessible analytics.

Next.js React JS TS Chart.js
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Tanner Manett

Data Engineering

PostgreSQL schema (NeonDB), Python ETL (SQLAlchemy, Pandas, NumPy), and analytics models & services.

PostgreSQL ETL Python
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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.

Coming Soon

More stats, more tools coming soon.

Players general table preview

Skater Overview

Quickly compare players across key metrics.

Advanced board preview

Advanced Insights

Visualize xG, shot maps, and danger zones.

Navigation preview

Fast Navigation

Jump to players, goalies, and teams instantly.