Parse. Analyze. Improve.
Direct metric evidence from your Faceit CS2 demos. Identify the exact mechanics leaking kills and track your overall impact across matches.
Core Capabilities
Tick-by-Tick Precision
Our engine leverages a Rust-based demo parser to rapidly read replay files. We map player states and coordinates on a per-tick basis to guarantee data accuracy.
Granular Mechanics Tracking
Score your underlying mechanics objectively. We extract data on your counter-strafing habits, reaction times, and crosshair placement directly from your raw match replays.
Advanced Match Impact
Move beyond K/D ratios. Measure your Round Win Shares (RWS) to quantify your exact contribution to winning rounds on a 0 to 100 scale, filtering out the noise of meaningless exit frags.
Comprehensive Metric Library
By combining raw tick extraction and high-level esports analytics heuristics, we can compute virtually any metric. Below is a curated set of distinct metrics divided into 5 core categories.
1. Aim & Mechanical Execution
2. Sniper & AWP Mechanics
3. Opening Duels & Trade Dynamics
4. Utility & Grenade Analytics
5. Global Impact & Economy
Aggregated Player Metrics
A high-level view of player performance across multiple parsed demos.
| Player | Matches Evaluated | Avg. RWS | Entry Success | Trade Efficiency | Crosshair Discipline |
|---|---|---|---|---|---|
| Player_Alpha | 124 | 14.5 | 57% | 66% | Head-level |
| Player_Bravo | 89 | 12.1 | 49% | 33% | Body-level |
| Player_Charlie | 210 | 9.8 | 29% | 83% | Head-level |