narkoman — CS2 Stats
BG76561198989704792[U:1:1029439064]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median |
|---|---|---|
| Headshot rate | 37.3% | 52.0% |
| Shot accuracy | 14.2% | 13.7% |
| Kill/death ratio | 1.71 | 1.08 |
| Match win rate | 53.3% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 95% playstyle similarity
Most alike: positioning profile, aim 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 96 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
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 61% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
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 7.6/10 (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 |
|---|---|---|---|---|---|
| B | 29 | 15–14 | 52% | 0.08 | |
| A | 26 | 15–11 | 58% | 0.09 | |
| C | 15 | 6–9 | 40% | 0.04 | |
| S | 8 | 7–1 | 88% | 0.11 | |
| A | 7 | 4–3 | 57% | 0.09 | |
| S | 6 | 5–1 | 83% | 0.06 | |
| A | 5 | 3–2 | 60% | 0.11 | |
| office | — | 2 | 2–0 | 100% | 0.15 |
| — | 1 | 1–0 | 100% | 0.09 | |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 125 | 61% | 1.77 | 21.8 |
| Inferno | 74 | 77% | 1.73 | 19.4 |
| Dust2 | 53 | 57% | 1.33 | 19.3 |
| Ancient | 51 | 45% | 1.42 | 17.3 |
| Anubis | 34 | 50% | 1.16 | 17.6 |
| Nuke | 24 | 54% | 1.89 | 24.0 |
| Overpass | 11 | 64% | 1.67 | 20.6 |
| Cache | 10 | 60% | 1.45 | 21.2 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4466 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.08 | 35% | 29 Aug → | ||
| 13–8 | 0.13 | 30% | 29 Aug → | ||
| 9–4 | 0.18 | 19% | 27 Aug → | ||
| 13–10 | 0.16 | 31% | 27 Aug → | ||
| 2–13 | 0.03 | 22% | 27 Aug → | ||
| 9–7 | 0.17 | 22% | 23 Aug → | ||
| 10–13 | 0.03 | 26% | 22 Aug → | ||
| 12–12 | 0.07 | 44% | 21 Aug → | ||
| 5–13 | -0.02 | 21% | 21 Aug → | ||
| 3–13 | 0.02 | 12% | 20 Aug → | ||
| 13–2 | 0.16 | 43% | 19 Aug → | ||
| 9–1 | 0.25 | 24% | 17 Aug → | ||
| office | 13–10 | 0.09 | 26% | 15 Aug → | |
| 10–13 | 0.04 | 18% | 13 Aug → | ||
| 17–19 | 0.02 | 29% | 9 Aug → | ||
| 13–10 | 0.04 | 32% | 9 Aug → | ||
| 4–13 | -0.02 | 23% | 9 Aug → | ||
| 14–16 | 0.04 | 27% | 8 Aug → | ||
| 11–13 | -0.03 | 30% | 7 Aug → | ||
| 13–11 | 0.15 | 17% | 6 Aug → | ||
| 13–5 | 0.01 | 17% | 5 Aug → | ||
| 13–4 | 0.13 | 43% | 3 Aug → | ||
| 13–11 | 0.05 | 31% | 2 Aug → | ||
| 13–4 | 0.02 | 34% | 1 Aug → | ||
| 13–6 | 0.04 | 24% | 1 Aug → | ||
| 7–13 | 0.01 | 27% | 30 Jul → | ||
| 13–7 | 0.18 | 44% | 30 Jul → | ||
| 13–7 | 0.17 | 32% | 29 Jul → | ||
| 11–13 | 0.04 | 17% | 28 Jul → | ||
| 13–11 | 0.18 | 31% | 25 Jul → | ||
| 13–6 | 0.18 | 22% | 25 Jul → | ||
| 2–13 | -0.04 | 19% | 24 Jul → | ||
| 13–11 | 0.06 | 35% | 22 Jul → | ||
| 13–0 | 0.00 | 0% | 22 Jul → | ||
| 13–5 | 0.12 | 29% | 20 Jul → | ||
| 10–13 | 0.04 | 36% | 15 Jul → | ||
| 13–1 | 0.03 | 9% | 15 Jul → | ||
| 13–9 | 0.10 | 18% | 15 Jul → | ||
| 6–13 | 0.06 | 23% | 10 Jul → | ||
| 13–3 | 0.18 | 31% | 10 Jul → | ||
| 7–13 | 0.09 | 33% | 10 Jul → | ||
| 13–8 | 0.16 | 18% | 10 Jul → | ||
| 10–13 | 0.10 | 15% | 1 Jul → | ||
| 13–6 | 0.10 | 22% | 1 Jul → | ||
| 1–13 | -0.03 | 15% | 1 Jul → | ||
| 7–0 | 0.03 | 7% | 30 Jun → | ||
| 1–13 | 0.13 | 30% | 30 Jun → | ||
| 5–13 | 0.03 | 33% | 24 Jun → | ||
| 8–13 | 0.00 | 43% | 24 Jun → | ||
| 1–13 | 0.02 | 26% | 23 Jun → | ||
| 13–9 | 0.09 | 19% | 23 Jun → | ||
| 13–6 | 0.12 | 6% | 23 Jun → | ||
| 7–13 | -0.05 | 25% | 17 Jun → | ||
| 1–8 | -0.03 | 33% | 17 Jun → | ||
| 13–11 | 0.03 | 26% | 17 Jun → | ||
| 9–3 | 0.19 | 18% | 10 Jun → | ||
| 13–5 | 0.11 | 14% | 10 Jun → | ||
| 14–16 | 0.15 | 22% | 10 Jun → | ||
| 13–4 | 0.14 | 19% | 10 Jun → | ||
| 15–15 | 0.05 | 18% | 7 Jun → | ||
| 5–13 | 0.12 | 24% | 7 Jun → | ||
| 13–0 | 0.04 | 12% | 7 Jun → | ||
| 13–5 | 0.06 | 15% | 7 Jun → | ||
| 13–5 | 0.11 | 32% | 7 Jun → | ||
| 13–3 | 0.06 | 28% | 7 Jun → | ||
| 13–11 | 0.08 | 9% | 6 Jun → | ||
| 7–13 | 0.08 | 29% | 6 Jun → | ||
| 13–4 | 0.08 | 14% | 5 Jun → | ||
| 13–16 | 0.10 | 29% | 4 Jun → | ||
| 9–1 | 0.44 | 29% | 3 Jun → | ||
| 12–12 | 0.05 | 20% | 3 Jun → | ||
| 9–6 | 0.10 | 29% | 3 Jun → | ||
| 0–13 | -0.05 | 0% | 3 Jun → | ||
| 13–8 | 0.25 | 26% | 2 Jun → | ||
| 13–6 | 0.15 | 37% | 2 Jun → | ||
| 9–2 | 0.11 | 5% | 2 Jun → | ||
| 5–13 | 0.09 | 31% | 2 Jun → | ||
| 13–9 | 0.04 | 18% | 2 Jun → | ||
| office | 13–5 | 0.21 | 36% | 1 Jun → | |
| 13–10 | 0.19 | 26% | 31 May → | ||
| 4–13 | -0.00 | 25% | 30 May → | ||
| 7–13 | 0.04 | 20% | 29 May → | ||
| 13–2 | 0.10 | 24% | 29 May → | ||
| 10–13 | 0.01 | 27% | 29 May → | ||
| 13–6 | 0.06 | 26% | 28 May → | ||
| 4–13 | 0.06 | 27% | 28 May → | ||
| 13–8 | 0.04 | 42% | 28 May → | ||
| 13–5 | 0.12 | 21% | 28 May → | ||
| 6–13 | 0.07 | 32% | 28 May → | ||
| 12–16 | 0.05 | 39% | 28 May → | ||
| 1–9 | -0.16 | 100% | 28 May → | ||
| 13–2 | 0.04 | 29% | 27 May → | ||
| 5–9 | 0.01 | 21% | 26 May → | ||
| 13–10 | 0.04 | 21% | 26 May → | ||
| 4–9 | -0.09 | 23% | 26 May → | ||
| 13–5 | 0.15 | 29% | 26 May → | ||
| 13–4 | 0.13 | 25% | 26 May → | ||
| 13–5 | 0.27 | 23% | 26 May → | ||
| 13–3 | 0.17 | 24% | 26 May → | ||
| 13–3 | 0.02 | 50% | 26 May → |
Match data via Leetify.