Valuation Framework

AVC-100: Athlete Value Underwriting System

The scoring engine behind trust, risk, and sponsorship valuation

A composite underwriting model that evaluates athletes across six input signal categories and produces five actionable outputs for institutional decision-making.

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Research-Backed Governance-Aligned In Development

Overview

What This Is

The AVC-100 is an athlete value underwriting system — a structured framework for evaluating athletes through the lens of trust, risk, and sponsorship economics.

Not a Product

The AVC-100 is a research-backed valuation architecture, not a SaaS platform or live scoring tool. It defines the methodology, not the software.

Institutional Focus

Designed for VCs, sponsors, and agencies who need structured, governance-aligned methods for evaluating athlete partnerships and investments.

Data-Driven

Powered by the Data Hub's rosters, stats, standings, and links — every score traces back to verifiable data sources.

Input Signals

Six Input Categories

Each category represents a distinct signal layer that feeds into the AVC-100 scoring engine.

Trusted Media Signals

Source credibility scoring, narrative integrity verification, and media provenance analysis across traditional and digital channels.

Credibility Verification Provenance
Performance Metrics

Athletic output data, game intelligence indicators, decision-making efficiency, and competitive consistency tracking.

Stats Game IQ Consistency
Biometric / Wearable Data

Injury history modeling, longevity projections, load management patterns, and wearable-derived health metrics.

Health Wearables Load Mgmt
Audience Quality

Fan engagement depth, demographic composition, cross-market penetration, and audience authenticity analysis.

Engagement Demographics Authenticity
Sponsorship Risk

Off-field conduct patterns, brand safety indicators, reputational risk exposure, and compliance posture evaluation.

Conduct Brand Safety Compliance
Market / Portfolio Context

Contract landscape, endorsement portfolio analysis, market comparables, and competitive positioning within the athlete economy.

Contracts Endorsements Comps

System Flow

How It Works

Input signals flow through the scoring engine to produce actionable outputs.

Input Signals

6 categories of data

Scoring Engine

Weighted composite model

Outputs

5 actionable results

Outputs

Five Actionable Outputs

The scoring engine produces structured outputs designed for institutional decision-making.

Athlete Value Score

Composite numerical score reflecting overall athlete value across all input dimensions.

Trust Rating

Governance and behavioral reliability assessment indicating institutional trustworthiness.

Sponsorship Fit

Brand alignment and audience quality match analysis for sponsorship decision support.

Risk Flags

Identified risk signals across conduct, health, media, and market dimensions requiring attention.

Pricing Guidance

Market-informed valuation ranges for sponsorship deals, endorsements, and contract negotiations.

Data Connection

Powered by Data Hub

The AVC-100 scoring engine consumes data from the centralized Data Hub — rosters, stats, standings, and verified links.

Framework Status

The AVC-100 Athlete Value Underwriting System is a research-backed valuation architecture currently under development. It is not a finished product, SaaS platform, or live scoring system. Input categories, output methodologies, and data integration protocols are subject to ongoing research and refinement. This framework is presented for informational and strategic positioning purposes. No investment or valuation decisions should be made based solely on this architectural overview.