About Us

Most skin-related websites exist to push marketplace affiliate links, promote gambling platforms, or generate quick-flip trading guides.

Very few take the time to explain what makes a skin rare, how pattern systems actually work, or why certain items hold value across years of market fluctuation.

SkinsMetric was built to document the skin economy as a legitimate digital asset class.

We cover CS2, Rust, and Dota 2 skins from a research perspective – explaining float mechanics, pattern logic, wear progression, and market behavior without the gambling angle.

This is a resource for people who want to understand their inventory, not chase a profit scheme.

About SkinsMetric

Why SkinsMetric Exists?

Digital skins have real value. Not because influencers hype them, but because they operate on documented rarity systems, verifiable supply constraints, and years of established market behavior.

Most coverage treats them as gambling chips. We treat them as collectibles with technical properties worth preserving.

Our goal is to maintain accurate, long-term documentation of how these economies function.

That means explaining float ranges in detail. Breaking down why certain Case Hardened patterns command higher prices.

Documenting which wear tiers exist for which skins. Clarifying how StatTrak affects rarity. Showing historical price context instead of “hot investment tips.”

Education comes first. Monetization is secondary. If we can’t explain something clearly and factually, we don’t publish it.

How We Research Our Content?

Every pattern guide on this site is built from manual inspection.

We cross-reference in-game screenshots with marketplace listings, check float values against historical data, and verify pattern indexes using community-maintained databases. No automated scraping without human review.

When we document a float range, we’re pulling from verified transactions across multiple marketplaces—not extrapolating from a single listing.

Rarity classifications are confirmed against official drop tables and long-term supply tracking. If a skin has multiple pattern variations, we inspect each one individually before publishing.

Visual assets are reviewed for authenticity. Screenshots are taken directly from Steam inventory viewers or trusted third-party inspection tools. We don’t use promotional renders or manipulated images.

This takes longer than aggregating data from Reddit threads. It also means the information is accurate when you need it.

Our Fact-Checking Process

Every article is reviewed for technical accuracy before it goes live.

That includes checking float calculations, confirming collection assignments, verifying historical price data, and ensuring pattern descriptions match observable behavior.

After major game updates—like CS2’s transition from CS:GO – older content is flagged for re-verification.

Wear tier mechanics changed. Float distributions are shifted for some collections. We go back and correct outdated information.

When we make a mistake, we fix it transparently. No silent edits. No burying corrections in footnotes. If something was wrong, we state what changed and when.

We’d rather publish fewer articles that hold up over time than flood the site with volume that becomes obsolete in six months.

Editorial Independence

SkinsMetric operates independently. We are not owned by a marketplace, gambling platform, or affiliate network.

Sponsored placements do not influence our safety assessments, marketplace reviews, or editorial recommendations.

If we label a platform as risky, that assessment is based on observed behavior – withdrawal issues, unresolved disputes, and lack of transparency.

It cannot be changed through partnership offers.

Marketplace rankings are based on documented performance, not who pays for placement.

“Safe” and “Unsafe” designations are non-negotiable editorial decisions.

We monetize through display advertising and transparent affiliate links where relevant.

Those relationships do not affect what we write about the products or platforms in question.

Safety & Responsibility

This site does not promote gambling. We don’t publish betting strategies, profit calculators, or “guaranteed flip” guides.

The content here is about understanding digital items as collectibles, not speculating on short-term price movements.

The Safety Hub exists because scam sites are a real problem in this space.

We document withdrawal failures, fake middleman schemes, and phishing operations. That section is a warning system, not a disclaimer.

If you’re here to learn how skins work, you’re in the right place. If you’re here to find a gambling edge, you won’t find it.

About the Founder

SkinsMetric was founded by Karan Bhardwaj, a digital creator and long-time participant in the Valve skin economy.

Over the past seven years, he’s specialized in low-float items, pattern-based valuation, and the secondary market behavior of discontinued collections.

He’s managed personal inventories valued above $25,000, completed over 400 verified trades across Steam, CSGOFloat, and peer-to-peer exchanges, and contributed pattern documentation to several community-run databases.

He’s been active in subreddits like r/GlobalOffensiveTrade and Discord communities focused on rare pattern trading.

Before SkinsMetric, he worked as a consultant for smaller marketplaces looking to improve their item verification systems. He also beta-tested third-party float checkers and pattern indexing tools used by traders today.

His goal with SkinsMetric is simple: take the technical knowledge that exists in trading communities and make it accessible to casual players who just want to understand what they own.

Contact & Transparency

For inquiries, corrections, or collaboration opportunities, contact us at businessbuddykb@gmail.com.

A Media Kit is available upon request.

We welcome feedback on factual errors and are open to working with researchers, community database maintainers, and platforms focused on transparency in the skin economy.

If you spot something wrong, let us know.

Accuracy is more important than being right the first time.