Evaluation Methodology

Methodology

Transparent hockey operations methodology combining player evaluation, forecasting, valuation, acquisition analysis, organizational context, and decision-support workflows.

Framework Coverage

10

Evaluation and research layers

Active Frameworks

8

Evaluation and forecasting tools

Primary Focus

Decisions

Hockey operations support

Design Principle

Transparency

Readable before complex

Player Evaluation Logic

True North Rate

The True North Rate serves as the foundation layer for offensive player evaluation. It combines scoring pace and goal production into a transparent comparison tool designed to support rankings, projections, player reviews, and acquisition analysis.

Current Formula

Goals/Game × 1.5 + Points/Game × 1.0

Forecast Methodology

Projection Logic

Projection outputs combine regression logic, age curves, role adjustments, environmental context, and future production forecasting into a decision-support forecasting framework.

Current Logic

Regression × Age Curve × Role × Environment

Evaluation Frameworks

Hockey Operations Methodology

Decision-Support Framework
Active

Production Rate Framework

Core player evaluation layer built from scoring pace, goal production, and offensive contribution indicators.

Active

Projection Framework

Forecasting layer using regression, age-curve logic, role adjustment, multi-season context, and future production modeling.

Active

Contract Value Framework

Estimated AAV, surplus value, cap efficiency, and contract risk logic designed to support roster and acquisition decisions.

Active

Trade Intelligence Framework

Asset value framework combining projected production, contract efficiency, age profile, market label, and organizational fit.

Active

Player Comparable Framework

Similarity engine for identifying comparable players by age, position, production profile, archetype, and projection range.

Active

Acquisition Intelligence Framework

Flagging layer for buy-low candidates, sell-high risks, roster fits, market inefficiencies, and decision-support signals.

Active

Team Environment Framework

Organizational context layer accounting for roster strength, team scoring environment, depth, and player-support conditions.

Active

Reporting Framework

Exportable player-report workflow that converts evaluation outputs into written hockey operations summaries.

Research

Roster Planning Framework

Team-level evaluation framework for depth charts, cap structure, asset windows, organizational needs, and roster planning.

Research

Validation Framework

Evaluation layer for projection accuracy, contract-value calibration, and decision-support reliability.

Operating Philosophy

Built for Hockey Decisions

Every framework within TNPL is designed to support practical hockey operations questions: player evaluation, forecasting, acquisition analysis, contract efficiency, roster construction, and organizational planning. The objective is not complexity for its own sake, but decision-support clarity.