DemoLens vs SC2 Replay AI Coach

DemoLens is a free browser viewer for Counter-Strike 2 match demos, presenting a 2D tactical replay rather than a 3D first-person view. It accepts .dem, .dem.gz, and .dem.zst files and parses them in the browser with WebAssembly, so demo files are not uploaded to DemoLens. Replay controls include a multi-level radar, grenade trajectories, player status, key presses, playback speed, and kill markers. Analysis tools provide grenade lineup pins, movement trails, heatmap-style pins, FOV cones, drawing mode, and kill-feed badges. Scoreboard and economy data, player metrics, percentile comparisons, and an integrity check against professional baselines are included. FACEIT demos add synchronised voice playback, per-player voice timelines with WAV export, and chat translation. The browser extension adds one-click demo opening and player scouting statistics in FACEIT rooms. Desktop Chrome, Edge, or Firefox is required; phones are unsupported. The project says it has no accounts, tracking, analytics cookies, ads, or personal-data collection.

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.