The Gargoyle — CS2 Stats
76561198138443315[U:1:178177587]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 51.1% | 48.1% |
| Shot accuracy | 19.2% | 12.9% |
| Kill/death ratio | 1.26 | 1.08 |
| Match win rate | 48.7% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side openerLimited utility dependence
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 90 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 556ms 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 (×1.02 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 |
|---|---|---|---|---|---|
| C | 33 | 14–19 | 42% | 0.01 | |
| S | 16 | 11–5 | 69% | 0.03 | |
| A | 14 | 8–6 | 57% | 0.01 | |
| S | 12 | 9–3 | 75% | 0.03 | |
| C | 7 | 3–4 | 43% | -0.03 | |
| A | 7 | 4–3 | 57% | 0.03 | |
| D | 5 | 1–4 | 20% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| office | — | 1 | 1–0 | 100% | 0.05 |
| — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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.
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.3146 — below the 4 mark we flag
- 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 35.7644% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.03 | 36% | 14 Aug → | ||
| 13–11 | -0.03 | 40% | 20 Jul → | ||
| 13–6 | 0.01 | 33% | 17 Jul → | ||
| 9–13 | 0.02 | 21% | 17 Jul → | ||
| 6–13 | -0.05 | 39% | 17 Jul → | ||
| 13–7 | 0.01 | 24% | 17 Jul → | ||
| 13–5 | 0.01 | 32% | 17 Jul → | ||
| 4–13 | -0.04 | 32% | 16 Jul → | ||
| 5–13 | -0.03 | 15% | 15 Jul → | ||
| 10–13 | 0.00 | 33% | 15 Jul → | ||
| 5–13 | 0.01 | 32% | 14 Jul → | ||
| 13–7 | -0.00 | 26% | 13 Jul → | ||
| 11–13 | 0.04 | 38% | 13 Jul → | ||
| 13–5 | 0.09 | 14% | 12 Jul → | ||
| 13–8 | 0.07 | 18% | 12 Jul → | ||
| 6–13 | 0.06 | 36% | 12 Jul → | ||
| 13–6 | 0.05 | 29% | 12 Jul → | ||
| 13–9 | 0.02 | 50% | 12 Jul → | ||
| 16–13 | 0.00 | 23% | 12 Jul → | ||
| 2–13 | -0.05 | 34% | 11 Jul → | ||
| 4–13 | 0.01 | 23% | 11 Jul → | ||
| 11–13 | -0.07 | 36% | 11 Jul → | ||
| 13–10 | 0.10 | 38% | 10 Jul → | ||
| 13–10 | 0.07 | 30% | 10 Jul → | ||
| 13–4 | 0.09 | 26% | 2 Jul → | ||
| 13–9 | -0.02 | 45% | 2 Jul → | ||
| 13–0 | 0.09 | 21% | 2 Jul → | ||
| 6–13 | -0.03 | 33% | 2 Jul → | ||
| 13–7 | -0.01 | 36% | 2 Jul → | ||
| 13–10 | -0.00 | 18% | 2 Jul → | ||
| 15–15 | 0.03 | 35% | 2 Jul → | ||
| 2–13 | -0.02 | 62% | 2 Jul → | ||
| 13–10 | -0.02 | 24% | 2 Jul → | ||
| 13–8 | 0.00 | 22% | 2 Jul → | ||
| 3–6 | -0.04 | 18% | 2 Jul → | ||
| 13–8 | 0.04 | 20% | 2 Jul → | ||
| 3–13 | -0.07 | 24% | 2 Jul → | ||
| 13–7 | 0.04 | 27% | 26 Jun → | ||
| 4–13 | -0.10 | 20% | 26 Jun → | ||
| 6–13 | 0.09 | 29% | 25 Jun → | ||
| 0–13 | -0.11 | 0% | 25 Jun → | ||
| 13–8 | 0.04 | 22% | 25 Jun → | ||
| 13–8 | 0.15 | 22% | 25 Jun → | ||
| 13–5 | 0.03 | 18% | 25 Jun → | ||
| 13–6 | -0.00 | 18% | 25 Jun → | ||
| 13–9 | 0.06 | 29% | 25 Jun → | ||
| 5–13 | -0.02 | 34% | 25 Jun → | ||
| 13–7 | -0.03 | 16% | 25 Jun → | ||
| 4–13 | 0.02 | 24% | 25 Jun → | ||
| 13–9 | 0.05 | 24% | 25 Jun → | ||
| 10–13 | -0.02 | 33% | 24 Jun → | ||
| 5–13 | 0.04 | 23% | 24 Jun → | ||
| 13–7 | -0.01 | 16% | 24 Jun → | ||
| 13–11 | -0.01 | 29% | 24 Jun → | ||
| 13–7 | -0.04 | 21% | 24 Jun → | ||
| 13–10 | -0.05 | 9% | 24 Jun → | ||
| 11–13 | 0.00 | 26% | 24 Jun → | ||
| 13–6 | 0.06 | 25% | 23 Jun → | ||
| 14–16 | -0.01 | 14% | 23 Jun → | ||
| 13–6 | 0.13 | 18% | 23 Jun → | ||
| 11–13 | 0.04 | 30% | 22 Jun → | ||
| 13–2 | 0.12 | 34% | 21 Jun → | ||
| 1–13 | -0.08 | 39% | 21 Jun → | ||
| 6–13 | -0.01 | 31% | 21 Jun → | ||
| 16–12 | -0.03 | 23% | 21 Jun → | ||
| 13–9 | 0.06 | 30% | 21 Jun → | ||
| 8–8 | 0.11 | 25% | 19 Jun → | ||
| 13–11 | 0.06 | 33% | 11 Jun → | ||
| 13–11 | 0.08 | 37% | 11 Jun → | ||
| 15–15 | -0.05 | 17% | 11 Jun → | ||
| 13–5 | 0.04 | 28% | 5 Jun → | ||
| 13–5 | 0.09 | 36% | 5 Jun → | ||
| 16–14 | -0.02 | 18% | 5 Jun → | ||
| 13–7 | 0.03 | 16% | 5 Jun → | ||
| 9–13 | 0.05 | 33% | 5 Jun → | ||
| 13–6 | 0.04 | 24% | 5 Jun → | ||
| 13–8 | 0.05 | 24% | 4 Jun → | ||
| 8–13 | 0.04 | 20% | 4 Jun → | ||
| 9–13 | 0.01 | 33% | 4 Jun → | ||
| 1–13 | -0.08 | 0% | 4 Jun → | ||
| 13–7 | 0.05 | 23% | 4 Jun → | ||
| 11–13 | 0.00 | 33% | 2 Jun → | ||
| 10–13 | 0.07 | 40% | 2 Jun → | ||
| 4–13 | -0.01 | 24% | 31 May → | ||
| 9–4 | -0.00 | 25% | 31 May → | ||
| 12–12 | 0.01 | 40% | 31 May → | ||
| 15–15 | 0.04 | 32% | 30 May → | ||
| 16–14 | 0.03 | 52% | 30 May → | ||
| 6–13 | 0.01 | 27% | 30 May → | ||
| 13–6 | -0.01 | 28% | 30 May → | ||
| 4–13 | -0.05 | 30% | 30 May → | ||
| 10–13 | -0.02 | 20% | 30 May → | ||
| 7–13 | 0.05 | 18% | 30 May → | ||
| 13–11 | 0.10 | 19% | 27 May → | ||
| 13–8 | 0.07 | 18% | 27 May → | ||
| 8–13 | 0.05 | 36% | 27 May → | ||
| office | 13–5 | 0.05 | 26% | 27 May → | |
| 11–13 | 0.05 | 30% | 27 May → | ||
| 13–6 | 0.09 | 28% | 26 May → | ||
| 13–9 | 0.05 | 35% | 26 May → |
Match data via Leetify.