Statistics

A simple 30-game system for measuring CS2 improvement through repeatable habits, useful stats and better review questions.

HLTV Rating 2.0 combines KAST, kills, deaths, impact and ADR into one number around 1.0. Here is what each part means and how to read it against Rating 3.0.

Headshot percentage reflects your crosshair placement and aim discipline. Here is what a good HS% looks like by level, and why chasing a high number can mislead you.

How K/D usually changes as rank increases, why the average climbs with level, and why role and playstyle still matter more than one clean benchmark.

HLTV Rating 3.0 changed how player performance is measured by adding economy context and Round Swing. Here is what the new version is trying to do.

How to locate your Leetify profile, make sure people can view the right data, and share it cleanly with teammates, coaches or friends.

A practical workflow for turning Leetify stats into actual improvement instead of doomscrolling your profile after every match.

What Leetify Aim Rating measures, why the score can rise or fall, and how to use it alongside deeper aim stats instead of treating it as the full truth.

What Leetify Rating measures, what counts as a good score, why the number can move strangely, and how to read it without overreacting.

A clear, quick-reference guide to the Leetify-style stats players see most often, with the context needed to read each number properly.

Leetify and CSStatLab both help you understand your CS2 performance, but they emphasize different strengths. Here is how they differ and when each approach is most useful.

Leetify Rating and HLTV Rating both try to summarize performance, but they use different inputs, baselines and goals. Here is what each one is actually telling you.

Round Swing is one of the biggest new ideas inside HLTV Rating 3.0. Here is what it measures and why some kills matter far more than others.

A practical way to think about good ADR at different CS2 skill levels, and why the right benchmark changes with rank, role, and sample size.

Winning the match does not guarantee a positive Leetify Rating. Here is why the score can still be negative and what to check before assuming the stat is wrong.

Why one strong average can hide two very different players and how to read stability as a skill of its own.

The best CS2 stats for FACEIT players to track if you want numbers that matter in tougher games and stronger lobbies.

The best CS2 stats to watch if your real goal is better aim, cleaner duels and faster damage in matches.

The best CS2 stats to track if you want numbers that actually help you improve instead of just feeding your ego.

A guided tour of your CSStatLab profile-what each section means and where to focus first.

Learn what the four Statistical DNA pillars measure, how CSStatLab calculates them, and how to read your profile.

How to read a rolling window of CS2 matches without being fooled by it - which window length works, which stats lead, and how to separate tilt from decline.

Why kill/death ratio only tells part of the story, and which numbers give a fuller picture of a player.

The arithmetic of sample size in CS2 - how little a single game moves your averages, how many matches a stat needs, and what a real change in level looks like.