CARL2 Analysis Tool vs Freezetime

CARL2 Analysis Tool is a free Windows desktop companion for Rocket League players, coaches, and casters. It analyzes replay files from Steam, Epic Games, or any folder, extracting statistics, movement data, boost events, and in-game actions in 10 to 30 seconds. The replay library supports bulk processing, searches by player or team, date filters, and custom labels. Single-game analysis includes shot maps, an expected-goals model, player timelines, interaction data, boost maps, movement heatmaps, and 3D path maps. Series views aggregate games for team comparisons, win-versus-loss analysis, and game-by-game stat changes. Single-game exports are available as CSV, JSON, or Markdown; series exports are CSV or JSON, with a ZIP option. Live modes include replay control, monitoring, coach tools, and a caster-focused view. Real-time stats can appear as a browser-source overlay in OBS or another capture tool. The current version supports BakkesMod and Easy Anti-Cheat. Installation instructions require BakkesMod first, followed by CARL2 and email account confirmation.

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.