Freezetime vs sixmapper
Freezetime
benginn.github.iosixmapper
sixmapper.comSide by side
| Figure | Freezetime | sixmapper |
|---|---|---|
| Price from | €4.99/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 4 | 2 |
| Spec score · Game Replay Analyzers | 9.1 (#2) | 6.6 (#22) |
| Local processing | The product says its statistical, geometric and model features run locally without external AI services or per-use charges. | Floormaps are generated and stored locally and are not sent to a server; the privacy policy says replay contents are not read or uploaded. |
| Purpose | Freezetime is a self-hosted analysis platform for Counter-Strike 2 demos. | Sixmapper reads completed Rainbow Six Siege replay files and turns them into annotated floormaps for post-match analysis. |
| Support | The project directs questions and setup help to GitHub Discussions and bugs or feature requests to GitHub Issues. | The site says users can email support about problems or feature requests and will get a reply. |
Plans
In their own words
Freezetime
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.