CS2 Demo Analyzer vs Freezetime

CS2 Demo Analyzer is a free web tool on JumpThrow.gg for turning Counter-Strike 2 demo files into match reviews. Upload a standard.dem file to see match statistics, round details, utility data, player positions, and a 2D replay. Ratings are calculated in an HLTV style from raw demo data across every round. The event log covers actions such as kills, trades, plants, and utility throws; positional data supports heatmaps and replay views. Demos can come from any source, including Premier games, scrims, and matchmaking. You can start without an account. A free account adds connected FACEIT and Premier accounts, automatic Premier imports, and saved match reviews. The listed plan costs nothing, with no subscription currently offered. The service receives data from Steam and FACEIT and supports connecting those platforms for its features. Demo archives are retained while needed to verify, reproduce, or provide analysis, subject to valid deletion or objection requests and legal exceptions. Users must be at least 18 to create an account, connect a platform, or upload a demo.

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.