CARL2 Analysis Tool vs SC2 Replay AI Coach

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.

SC2 Replay AI Coach is a free browser-based site for parsing, viewing, and analyzing StarCraft II and Brood War replay files. It accepts .SC2Replay files for StarCraft II and .rep files for Brood War. Replay pages present economy timelines, army composition, battle records, build-order timelines, strategy classifications, and coaching notes. The automated post-game coach reads replay events, derives economy and combat metrics, compares openings with known build patterns, and adds notes tied to replay timestamps. Deterministic rules identify tactics including drops, cannon rushes, proxies, fast expansions, and one-base all-ins. Uploaded replays remain available through shareable URLs, with listed team coverage from 1v1 through 4v4. The tool requires no account or download and states no replay-count limit. Uploading is available in desktop browsers where local replay files are stored. Co-op replay visualization is supported, but ladder-coaching assumptions do not fully fit commander-specific units and mission objectives. Frame-perfect micro grading is limited because replay data contains events and sampled positions rather than a full coaching video.