DataCoach vs SC2 Replay AI Coach
DataCoach
datacoach.ggSC2 Replay AI Coach
starcraft2.aiSide by side
| Figure | DataCoach | SC2 Replay AI Coach |
|---|---|---|
| Price from | $11/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Plans published | 6 | 1 |
| Spec score · Game Replay Analyzers | 8.8 (#4) | 7.1 (#19) |
| Privacy and security | The privacy policy describes FERPA and COPPA compliance, encryption in transit and at rest, administrative two-factor authentication, and AWS hosting. | The opened maker pages do not state security certifications, compliance claims, or replay-retention controls. |
| What it does | DataCoach converts Rocket League replay files into esports performance analytics, coaching insights and training plans. | It is a browser-based replay parser, viewer, and analysis site for StarCraft II and Brood War replay files. |
Plans
DataCoach
- Player BasicFree
- Player - Platinum$11 a month
- Player - Diamond$18 a month
- Collegiate TeamPriced on request
- High School TeamsPriced on request
- Pro TeamsPriced on request
In their own words
SC2 Replay AI Coach
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.