Ghost — CS2 Stats
AU76561198042488242[U:1:82222514]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like donk 93% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.
Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| S | 55 | 36–19 | 65% | 0.06 | |
| D | 12 | 4–8 | 33% | 0.07 | |
| A | 11 | 6–5 | 55% | 0.05 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.09 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| — | 2 | 2–0 | 100% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.17 | |
| — | 1 | 1–0 | 100% | 0.15 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 50% | 1.08 | 17.0 |
| Nuke | 3 | 33% | 0.77 | 15.0 |
| Dust2 | 3 | 67% | 1.63 | 28.0 |
| Inferno | 1 | 100% | 1.38 | 11.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.8327% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.11 | 10% | 25 Aug → | ||
| 13–5 | 0.04 | 13% | 25 Aug → | ||
| 12–12 | 0.03 | 15% | 25 Aug → | ||
| 13–4 | 0.08 | 17% | 25 Aug → | ||
| 8–13 | -0.03 | 8% | 25 Aug → | ||
| 12–12 | 0.02 | 11% | 24 Aug → | ||
| 10–13 | 0.07 | 15% | 24 Aug → | ||
| 7–0 | 0.18 | 26% | 24 Aug → | ||
| 0–5 | -0.04 | 25% | 24 Aug → | ||
| 13–7 | 0.12 | 16% | 24 Aug → | ||
| 13–9 | -0.01 | 18% | 24 Aug → | ||
| 13–11 | 0.14 | 9% | 24 Aug → | ||
| 13–5 | 0.06 | 15% | 23 Aug → | ||
| 13–5 | 0.04 | 8% | 23 Aug → | ||
| 10–13 | 0.04 | 16% | 23 Aug → | ||
| 13–7 | -0.03 | 13% | 23 Aug → | ||
| 13–9 | 0.05 | 3% | 23 Aug → | ||
| 8–13 | 0.01 | 17% | 23 Aug → | ||
| 13–8 | 0.12 | 13% | 23 Aug → | ||
| 13–11 | 0.06 | 9% | 23 Aug → | ||
| 13–10 | 0.06 | 16% | 23 Aug → | ||
| 12–12 | 0.04 | 12% | 23 Aug → | ||
| 13–11 | 0.07 | 15% | 22 Aug → | ||
| 12–12 | 0.15 | 9% | 21 Aug → | ||
| 8–13 | 0.03 | 11% | 21 Aug → | ||
| 10–13 | 0.02 | 8% | 21 Aug → | ||
| 13–3 | 0.08 | 13% | 21 Aug → | ||
| 7–13 | 0.02 | 14% | 21 Aug → | ||
| 6–13 | 0.01 | 11% | 21 Aug → | ||
| 13–3 | 0.12 | 18% | 21 Aug → | ||
| 9–1 | 0.04 | 16% | 21 Aug → | ||
| 8–4 | 0.05 | 15% | 20 Aug → | ||
| 11–13 | 0.07 | 9% | 18 Aug → | ||
| 11–13 | 0.08 | 15% | 18 Aug → | ||
| 9–13 | 0.03 | 14% | 18 Aug → | ||
| 6–9 | 0.04 | 4% | 18 Aug → | ||
| 6–13 | 0.04 | 22% | 18 Aug → | ||
| 13–7 | 0.00 | 3% | 18 Aug → | ||
| 13–3 | -0.01 | 10% | 17 Aug → | ||
| 13–6 | -0.03 | 12% | 17 Aug → | ||
| 13–9 | 0.23 | 15% | 16 Aug → | ||
| 3–13 | -0.04 | 11% | 16 Aug → | ||
| 13–10 | 0.00 | 8% | 16 Aug → | ||
| 13–8 | 0.10 | 14% | 16 Aug → | ||
| 13–7 | 0.13 | 11% | 15 Aug → | ||
| 13–4 | 0.06 | 12% | 15 Aug → | ||
| 7–13 | -0.04 | 10% | 14 Aug → | ||
| 12–12 | 0.08 | 14% | 14 Aug → | ||
| 13–9 | -0.00 | 19% | 14 Aug → | ||
| 4–13 | 0.01 | 9% | 14 Aug → | ||
| 12–12 | 0.05 | 13% | 14 Aug → | ||
| 13–6 | 0.16 | 10% | 14 Aug → | ||
| 3–13 | -0.09 | 3% | 14 Aug → | ||
| 4–13 | 0.05 | 15% | 12 Aug → | ||
| 13–8 | 0.05 | 11% | 12 Aug → | ||
| 13–10 | -0.00 | 11% | 12 Aug → | ||
| 12–12 | 0.07 | 9% | 12 Aug → | ||
| 13–10 | 0.04 | 14% | 9 Aug → | ||
| 13–8 | 0.15 | 17% | 9 Aug → | ||
| 12–12 | 0.10 | 5% | 9 Aug → | ||
| 11–13 | 0.06 | 10% | 9 Aug → | ||
| 13–2 | 0.16 | 7% | 9 Aug → | ||
| 13–11 | 0.16 | 18% | 8 Aug → | ||
| 13–7 | 0.06 | 10% | 8 Aug → | ||
| 13–6 | 0.10 | 10% | 8 Aug → | ||
| 13–6 | 0.02 | 17% | 7 Aug → | ||
| 13–2 | 0.07 | 10% | 7 Aug → | ||
| 11–13 | -0.02 | 10% | 7 Aug → | ||
| 6–13 | 0.06 | 10% | 7 Aug → | ||
| 13–3 | 0.09 | 14% | 7 Aug → | ||
| 13–8 | 0.07 | 15% | 7 Aug → | ||
| 13–4 | 0.01 | 6% | 7 Aug → | ||
| 13–8 | -0.00 | 11% | 6 Aug → | ||
| 10–13 | 0.08 | 12% | 6 Aug → | ||
| 13–6 | 0.09 | 14% | 6 Aug → | ||
| 13–6 | 0.18 | 8% | 6 Aug → | ||
| 6–0 | 0.07 | 10% | 6 Aug → | ||
| 13–11 | 0.03 | 14% | 6 Aug → | ||
| 13–9 | 0.03 | 19% | 6 Aug → | ||
| 6–13 | 0.00 | 22% | 6 Aug → | ||
| 10–13 | 0.08 | 16% | 5 Aug → | ||
| 13–3 | 0.21 | 24% | 5 Aug → | ||
| 13–4 | 0.10 | 18% | 5 Aug → | ||
| 9–13 | 0.03 | 17% | 3 Aug → | ||
| 13–6 | -0.01 | 4% | 3 Aug → | ||
| 13–11 | 0.13 | 11% | 3 Aug → | ||
| 13–10 | 0.02 | 13% | 3 Aug → | ||
| 10–13 | 0.06 | 21% | 3 Aug → | ||
| 13–8 | 0.14 | 17% | 1 Aug → | ||
| 4–13 | 0.10 | 21% | 31 Jul → | ||
| 13–8 | 0.16 | 18% | 31 Jul → | ||
| 13–6 | 0.15 | 14% | 31 Jul → | ||
| 13–5 | 0.10 | 8% | 31 Jul → | ||
| 13–8 | -0.01 | 12% | 31 Jul → | ||
| 13–6 | 0.08 | 13% | 31 Jul → | ||
| 12–12 | 0.02 | 10% | 31 Jul → | ||
| 13–8 | 0.09 | 14% | 31 Jul → | ||
| 4–13 | -0.10 | 8% | 31 Jul → | ||
| 13–7 | 0.12 | 18% | 31 Jul → | ||
| 8–13 | 0.02 | 14% | 31 Jul → |
Match data via Leetify.