CS Demo Analyzer vs Freezetime

CS Demo Analyzer is a free command-line tool for analyzing and exporting Counter-Strike 2 and CS:GO demo files. It produces CSV, JSON, or CSDM output, and an optional flag adds entity positions such as player and grenade locations. Users can force a demo source, with supported options including FACEIT, ESEA, ESL, and Valve. Developers can use the Go API to analyze a demo or analyze and export it. The @akiver/cs-demo-analyzer NPM module wraps the Go CLI and supplies TypeScript types and constants. The project uses the demoinfocs-golang parser, created by Markus W. and maintained by him and AkiVer. It is distributed under the MIT License, which permits use, modification, and distribution subject to its conditions. The linked CS Demo Manager companion application lists statistics, grenade finding, heatmaps, VAC tracking, video generation, downloads, search, and exports; that app can export XLSX or JSON or provide SQL access to its database. CS Demo Analyzer is intended for developers extracting data from Counter-Strike demos and supports Linux, macOS, Windows, and API use.

Freezetime is a free, self-hosted analysis platform for Counter-Strike 2 demos. Its public archive is a read-only site with more than 2,600 professional matches, searchable and grouped by series, and needs no installation or account. For a personal demo, the Analyze page parses one file in the browser using WebAssembly, so the file stays on the user's machine. Processing produces 16 Hz player positions along with kills, grenades, and economy data. Synchronized 2D replays show player health, economy, kill feed, grenade trajectories, smoke, and flash effects. Analysis tools include opponent reports, predictions, ML Lab, leaderboards, match comparison, heatmaps, ghost rounds, Moments, and Pattern Finder. My DB can process private demos without the server keeping a copy. Self-hosting unlocks features marked self-host only, but users must supply their own demos because the repository contains no match data or database dumps. The project says smart features use deterministic methods and locally trained models rather than external AI services. Freezetime is MIT licensed, with no warranty.