Welcome to LB-Hockey!
Innovative hockey analytics visualizations at your fingertips! At LB-Hockey, you can find player cards, comparison dashboards, progression timelines, roster builders, and various other tools with a combination of depth and visual style not usually available in the public sphere.
If you’re new to LB-Hockey, we recommend visiting the About page to learn more about the site, the Registration page for info on accessing the visualizations, and our SPAR model breakdown article to get an in-depth look at how we evaluate players!

Multi-Year Player Cards
Immerse yourself in a vast array of skill metrics that make up the foundation of LB-Hockey, supplemented with player badges, similar styles, and ideal linemates/systems

Single-Season Player Cards
Rewind to any given season since 2020-21 with detailed player cards on both skaters & goalies, covering various categories and impact ranks across the selection’s team, position, & league

Mini Cards
Smaller, more digestible versions of the main player cards (available in multi-year and single-season formats)

Comparison Atlas
Compare how players contribute on the ice with their distinctive styles, production outputs, impact progression, and more

Progression Tracker
Examine which skills have evolved for players over the years and the progression of different areas of their game

Development Matrix
Evaluate the efficiency of a player’s toolkit by plotting their skills’ frequency against their success rates, along with categorical scores

Line Compatibility Lab
Visualize how compatible any theoretical line in the NHL would be with their player styles, expected chemistry, line role, ideal linemates, & standings impact

Roster Builder
Be GM & Coach by creating the lineup you want and seeing how it would be expected to play together through chemistry boosts, team style, and standings expectations

Team Blueprints
Classify team styles by how they play with vs without the puck in various parts of the game, how they have evolved over time, and who drives their success

Matchup Engine
Contrast NHL teams’ strengths & weaknesses through how one’s offensive play stacks up in a specific area against the other’s defensive ability

Contract Projector
Compare a player’s current contract to their projected worth and market expectation given the cap environment, along with likely extensions for those on expiring deals

Steals & Chokes Report
Measure a goalie’s game-breaking ability through in-depth reports of their stolen & choked games, and how they fare relative to other starters, backups, or call-ups across the league



Dashboards featured in articles that are free to everyone!
Currently includes the Offensive Puck-Movement Profile, Consistency Spread, Battle Grid, SPAR Distribution Visualizer, and Puckรฉmon Cards.
Recent Articles
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Why (else) is Ottawa’s data not matching their results?

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Unearthing reasons behind Ottawa’s underwhelming season outside of the obvious, and why their strategy when attacking in transition could be the root of disconnect between results & data-driven expectations
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2026 Olympic Guide: Which Snubs Should be Going to Milan?

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Diving into the Finnish, Swedish, American, and Canadian Olympic men’s hockey rosters to determine which snubbed players deserve to skate in Milan
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Capturing Playing Styles & Contributions in the Modern NHL

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How we built a model that blends publicly available hockey analytics data to obtain eye-test-sturdy playing styles and contributions in the form of standings points
Our Flagship “Blueprints” Series
A collection of articles focusing on innovation in the public hockey analytics sphere.
With these, we hope to devise new ways to capture player impacts, redefine hockey skills through an analytical lens, and create free tools to help explore these concepts.
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Capturing Playing Styles & Contributions in the Modern NHL

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How we built a model that blends publicly available hockey analytics data to obtain eye-test-sturdy playing styles and contributions in the form of standings points
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Defining Physicality and Skaters’ Ability To Play Through It

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Showcasing players’ willingness to engage in high-contact areas and succeed when pressured, along with how it correlates to team success and player development
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Using Calculus to Quantify Consistency in the NHL

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Defining a new way to measure player consistency from game-to-game through integral calculus and decayed averages
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Merging Shot Data and Measuring Player Importance to Team’s Offensive Flow

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How we built an algorithm that generates datasets blending together traditional and modern shot data. Along with a deep-dive into the insights they provide when it comes to evaluating offensive flow and player roles in passing systems.
















