GH0ST — CS2 Stats
US76561198289475771[U:1:329210043]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 58.8% | 44.2% | 44.9% | above |
| Shot accuracy | 9.2% | 11.2% | 11.8% | 2.6% short |
| Kill/death ratio | 1.46 | 1.04 | 1.04 | above |
| Match win rate | 44.6% | 45.3% | 45.3% | meets |
This profile matches the typical Level 6 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 ropz 95% playstyle similarity
Most alike: utility contribution, 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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 561ms 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 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 dust2 | C | 22 | 9–13 | 41% | 0.03 |
 anubis | A | 21 | 13–8 | 62% | 0.01 |
 ancient | D | 14 | 4–10 | 29% | 0.03 |
 nuke | A | 9 | 5–4 | 56% | 0.03 |
 mirage | D | 9 | 3–6 | 33% | 0.01 |
 cache | D | 9 | 3–6 | 33% | 0.01 |
 train | S | 7 | 5–2 | 71% | 0.06 |
 inferno | B | 6 | 3–3 | 50% | 0.01 |
 vertigo | — | 2 | 2–0 | 100% | 0.04 |
 overpass | — | 1 | 0–1 | 0% | 0.09 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 60 | 47% | 1.24 | 16.3 |
| Inferno | 25 | 60% | 1.31 | 15.3 |
| Ancient | 23 | 35% | 1.25 | 17.7 |
| Dust2 | 20 | 65% | 1.39 | 18.9 |
| Nuke | 19 | 32% | 1.27 | 17.7 |
| Anubis | 19 | 58% | 1.14 | 16.4 |
| Train | 10 | 60% | 1.74 | 19.3 |
| Vertigo | 5 | 80% | 1.86 | 19.0 |
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.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 39.1726% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 8–13 | 0.00 | 31% | 9 Jul → | |
| anubis | 13–3 | 0.08 | 19% | 28 Jun → | |
| nuke | 13–3 | 0.08 | 9% | 27 Jun → | |
| ancient | 9–13 | 0.01 | 11% | 26 Jun → | |
| dust2 | 12–12 | 0.03 | 11% | 9 Jun → | |
| train | 13–10 | 0.03 | 19% | 6 Jun → | |
| nuke | 8–13 | -0.01 | 9% | 5 Jun → | |
| anubis | 11–13 | -0.02 | 23% | 5 Jun → | |
| dust2 | 11–13 | 0.00 | 39% | 5 Jun → | |
| anubis | 5–13 | -0.02 | 13% | 3 Jun → | |
| dust2 | 13–5 | 0.02 | 13% | 3 Jun → | |
| dust2 | 11–13 | 0.01 | 16% | 2 Jun → | |
| anubis | 13–4 | 0.03 | 26% | 2 Jun → | |
| dust2 | 13–3 | 0.16 | 15% | 1 Jun → | |
| vertigo | 13–10 | 0.08 | 11% | 1 Jun → | |
| anubis | 13–3 | 0.05 | 27% | 1 Jun → | |
| ancient | 10–13 | 0.05 | 10% | 31 May → | |
| mirage | 12–12 | 0.02 | 16% | 31 May → | |
| nuke | 4–13 | -0.02 | 22% | 31 May → | |
| cache | 4–13 | 0.02 | 19% | 31 May → | |
| train | 13–1 | 0.10 | 22% | 30 May → | |
| anubis | 13–5 | 0.12 | 18% | 30 May → | |
| dust2 | 13–11 | 0.05 | 17% | 30 May → | |
| ancient | 8–13 | 0.07 | 31% | 29 May → | |
| anubis | 6–13 | 0.04 | 19% | 29 May → | |
| dust2 | 5–13 | -0.02 | 41% | 28 May → | |
| anubis | 4–13 | -0.05 | 9% | 27 May → | |
| inferno | 13–10 | 0.10 | 23% | 27 May → | |
| mirage | 2–9 | 0.03 | 12% | 27 May → | |
| anubis | 13–9 | -0.06 | 11% | 24 May → | |
| dust2 | 4–13 | 0.01 | 19% | 24 May → | |
| mirage | 7–13 | -0.09 | 9% | 24 May → | |
| ancient | 6–13 | 0.05 | 20% | 24 May → | |
| anubis | 13–10 | 0.04 | 11% | 24 May → | |
| train | 13–1 | 0.18 | 33% | 21 May → | |
| dust2 | 13–9 | 0.10 | 20% | 21 May → | |
| anubis | 13–10 | 0.00 | 22% | 20 May → | |
| ancient | 6–13 | -0.06 | 23% | 20 May → | |
| cache | 12–12 | 0.00 | 19% | 19 May → | |
| dust2 | 11–13 | -0.03 | 20% | 14 May → | |
| anubis | 2–13 | -0.11 | 13% | 12 May → | |
| inferno | 8–13 | 0.03 | 18% | 12 May → | |
| cache | 13–11 | 0.02 | 18% | 12 May → | |
| nuke | 13–9 | 0.04 | 19% | 10 May → | |
| cache | 6–13 | -0.01 | 26% | 10 May → | |
| cache | 13–8 | -0.01 | 11% | 6 May → | |
| mirage | 13–8 | 0.11 | 10% | 5 May → | |
| overpass | 3–10 | 0.09 | 15% | 5 May → | |
| anubis | 6–13 | 0.02 | 14% | 3 May → | |
| cache | 12–12 | 0.09 | 22% | 3 May → | |
| ancient | 9–13 | 0.03 | 19% | 2 May → | |
| dust2 | 10–13 | 0.07 | 20% | 2 May → | |
| cache | 12–12 | -0.01 | 26% | 1 May → | |
| cache | 5–13 | -0.01 | 24% | 1 May → | |
| cache | 13–9 | 0.03 | 25% | 29 Apr → | |
| dust2 | 13–4 | 0.07 | 23% | 26 Apr → | |
| nuke | 13–7 | -0.03 | 11% | 17 Apr → | |
| anubis | 13–8 | 0.04 | 14% | 17 Apr → | |
| inferno | 13–10 | -0.00 | 24% | 17 Apr → | |
| nuke | 13–10 | 0.01 | 19% | 16 Apr → | |
| anubis | 13–10 | -0.02 | 12% | 16 Apr → | |
| ancient | 14–16 | 0.08 | 34% | 15 Apr → | |
| anubis | 13–10 | -0.00 | 16% | 14 Apr → | |
| train | 8–13 | -0.03 | 12% | 14 Apr → | |
| inferno | 11–13 | 0.02 | 27% | 13 Apr → | |
| ancient | 13–11 | 0.08 | 23% | 13 Apr → | |
| nuke | 12–12 | 0.10 | 31% | 12 Apr → | |
| ancient | 13–9 | 0.06 | 14% | 12 Apr → | |
| dust2 | 13–3 | 0.07 | 25% | 12 Apr → | |
| inferno | 12–12 | -0.04 | 11% | 11 Apr → | |
| dust2 | 13–5 | 0.07 | 17% | 11 Apr → | |
| anubis | 13–9 | 0.01 | 20% | 10 Apr → | |
| mirage | 11–13 | 0.00 | 22% | 10 Apr → | |
| ancient | 12–12 | 0.03 | 16% | 9 Apr → | |
| train | 13–11 | 0.09 | 38% | 9 Apr → | |
| mirage | 7–13 | -0.00 | 15% | 8 Apr → | |
| train | 11–13 | -0.05 | 24% | 7 Apr → | |
| anubis | 13–8 | 0.07 | 18% | 7 Apr → | |
| dust2 | 13–10 | -0.03 | 21% | 7 Apr → | |
| ancient | 4–13 | -0.02 | 11% | 2 Apr → | |
| anubis | 11–13 | 0.02 | 15% | 2 Apr → | |
| vertigo | 13–11 | 0.00 | 21% | 2 Apr → | |
| mirage | 10–13 | -0.05 | 14% | 26 Mar → | |
| ancient | 6–13 | -0.04 | 11% | 26 Mar → | |
| dust2 | 3–13 | -0.02 | 19% | 26 Mar → | |
| dust2 | 9–13 | 0.01 | 21% | 25 Mar → | |
| nuke | 13–8 | 0.05 | 21% | 25 Mar → | |
| mirage | 13–4 | 0.11 | 18% | 25 Mar → | |
| ancient | 13–7 | 0.06 | 10% | 24 Mar → | |
| dust2 | 12–12 | 0.04 | 18% | 24 Mar → | |
| inferno | 13–9 | -0.02 | 15% | 22 Mar → | |
| dust2 | 13–6 | 0.05 | 20% | 22 Mar → | |
| nuke | 9–13 | 0.02 | 22% | 22 Mar → | |
| dust2 | 4–13 | 0.00 | 14% | 21 Mar → | |
| anubis | 5–13 | 0.06 | 13% | 20 Mar → | |
| ancient | 13–11 | 0.02 | 14% | 20 Mar → | |
| train | 13–5 | 0.06 | 16% | 20 Mar → | |
| mirage | 13–5 | 0.00 | 12% | 20 Mar → | |
| anubis | 13–9 | 0.00 | 18% | 19 Mar → | |
| dust2 | 11–13 | 0.05 | 14% | 19 Mar → |
Match data via Leetify.
