D4rkZje — CS2 Stats
CH76561198275440507[U:1:315174779]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 56.1% | 52.8% |
| Shot accuracy | 17.2% | 13.7% |
| Kill/death ratio | 0.80 | 1.08 |
| Match win rate | 47.6% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 92% playstyle similarity
Most alike: opening-duel success, 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 87 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 36 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 52% on CT to 27% 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 6.7/10 (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 |
|---|---|---|---|---|---|
| C | 26 | 10–16 | 38% | -0.01 | |
| D | 18 | 5–13 | 28% | -0.01 | |
| C | 13 | 5–8 | 38% | -0.02 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 3 | 2–1 | 67% | -0.04 | |
| — | 2 | 0–2 | 0% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Dust 2 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 771 | 48% | 0.96 | 15.6 |
| Anubis | 490 | 54% | 0.95 | 15.4 |
| Dust2 | 431 | 52% | 0.96 | 15.6 |
| Inferno | 215 | 46% | 0.94 | 15.0 |
| Ancient | 188 | 49% | 0.93 | 15.2 |
| Nuke | 172 | 51% | 0.96 | 15.3 |
| Overpass | 166 | 52% | 1.03 | 16.2 |
| Vertigo | 152 | 53% | 1.01 | 16.5 |
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 27.072% — 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.
28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 19–17 | 0.05 | 27% | 25 Aug → | ||
| 13–11 | -0.02 | 35% | 23 Aug → | ||
| 16–19 | 0.03 | 12% | 22 Aug → | ||
| 13–4 | 0.01 | 21% | 22 Aug → | ||
| 12–16 | -0.03 | 14% | 15 Aug → | ||
| 13–10 | 0.02 | 27% | 15 Aug → | ||
| 11–13 | -0.02 | 17% | 15 Aug → | ||
| 13–8 | -0.01 | 21% | 8 Aug → | ||
| 13–11 | -0.01 | 24% | 6 Aug → | ||
| 13–8 | 0.07 | 37% | 4 Aug → | ||
| 16–13 | 0.04 | 20% | 2 Aug → | ||
| 13–4 | 0.04 | 16% | 28 Jul → | ||
| 7–13 | -0.06 | 17% | 20 Jul → | ||
| 13–3 | 0.05 | 26% | 20 Jul → | ||
| 6–13 | -0.05 | 11% | 18 Jul → | ||
| 10–13 | -0.04 | 26% | 16 Jul → | ||
| 13–4 | 0.08 | 22% | 4 Jul → | ||
| 13–1 | 0.00 | 27% | 3 Jul → | ||
| 8–13 | -0.05 | 23% | 27 Jun → | ||
| 13–5 | -0.04 | 26% | 26 Jun → | ||
| 13–7 | 0.09 | 29% | 19 Jun → | ||
| 23–25 | 0.02 | 21% | 19 Jun → | ||
| 14–16 | -0.02 | 29% | 13 Jun → | ||
| 7–13 | -0.07 | 24% | 3 Jun → | ||
| 13–8 | -0.05 | 21% | 1 Jun → | ||
| 11–13 | -0.03 | 13% | 1 Jun → | ||
| 7–13 | -0.05 | 24% | 31 May → | ||
| 13–11 | 0.03 | 24% | 28 May → | ||
| 16–13 | -0.02 | 30% | 21 May → | ||
| 12–16 | 0.04 | 22% | 19 May → | ||
| 4–13 | 0.02 | 15% | 14 May → | ||
| 13–9 | 0.01 | 21% | 7 May → | ||
| 13–7 | 0.03 | 18% | 3 May → | ||
| 8–13 | -0.01 | 16% | 30 Apr → | ||
| 13–8 | -0.03 | 28% | 29 Apr → | ||
| 16–13 | -0.05 | 18% | 29 Apr → | ||
| 2–13 | -0.06 | 12% | 28 Apr → | ||
| 14–16 | 0.03 | 20% | 26 Apr → | ||
| 5–13 | -0.04 | 44% | 24 Apr → | ||
| 13–11 | 0.02 | 21% | 6 Apr → | ||
| 13–0 | 0.14 | 42% | 4 Apr → | ||
| 13–8 | -0.06 | 13% | 31 Mar → | ||
| 10–13 | -0.03 | 20% | 31 Mar → | ||
| 16–12 | -0.03 | 31% | 25 Mar → | ||
| 10–13 | -0.07 | 15% | 6 Mar → | ||
| 9–13 | -0.02 | 8% | 24 Feb → | ||
| 11–13 | -0.03 | 18% | 20 Feb → | ||
| 13–11 | 0.02 | 15% | 27 Jan → | ||
| 10–13 | -0.01 | 28% | 22 Jan → | ||
| 10–13 | 0.01 | 19% | 21 Jan → | ||
| 5–13 | -0.08 | 25% | 18 Jan → | ||
| 11–13 | 0.02 | 22% | 15 Jan → | ||
| 16–14 | 0.03 | 26% | 8 Jan → | ||
| 14–16 | -0.01 | 19% | 7 Jan → | ||
| 13–10 | 0.03 | 31% | 7 Jan → | ||
| 10–13 | -0.01 | 20% | 5 Jan → | ||
| 6–13 | -0.06 | 11% | 31 Dec → | ||
| 4–13 | -0.03 | 34% | 30 Dec → | ||
| 9–13 | 0.02 | 27% | 20 Dec → | ||
| 7–13 | -0.05 | 10% | 15 Dec → | ||
| 8–13 | -0.07 | 32% | 11 Dec → | ||
| 8–13 | -0.00 | 17% | 8 Dec → | ||
| 18–22 | -0.02 | 22% | 7 Dec → | ||
| 6–13 | -0.01 | 19% | 30 Nov → | ||
| 8–13 | 0.01 | 32% | 30 Nov → | ||
| 13–8 | -0.03 | 30% | 30 Nov → | ||
| 11–13 | -0.03 | 22% | 30 Nov → | ||
| 10–13 | 0.00 | 25% | 25 Nov → | ||
| 8–13 | 0.01 | 34% | 23 Nov → | ||
| 13–7 | 0.08 | 23% | 23 Nov → | ||
| 3–13 | -0.09 | 25% | 23 Nov → | ||
| 10–13 | -0.03 | 30% | 23 Nov → | ||
| 8–13 | -0.03 | 17% | 22 Nov → | ||
| 11–13 | -0.04 | 20% | 22 Nov → | ||
| 13–8 | -0.01 | 12% | 20 Nov → | ||
| 9–13 | -0.06 | 7% | 16 Nov → | ||
| 13–6 | -0.04 | 12% | 11 Nov → | ||
| 10–13 | -0.02 | 20% | 3 Nov → | ||
| 9–13 | 0.01 | 16% | 23 Oct → | ||
| 14–16 | -0.01 | 18% | 17 Oct → | ||
| 12–16 | -0.04 | 20% | 24 Sept → | ||
| 6–13 | -0.05 | 14% | 27 Aug → | ||
| 13–7 | -0.04 | 24% | 29 Jul → | ||
| 8–13 | -0.05 | 18% | 26 Jul → | ||
| 13–8 | -0.00 | 32% | 25 Jul → | ||
| 8–13 | 0.03 | 22% | 24 Jul → | ||
| 13–7 | 0.07 | 25% | 23 Jul → | ||
| 13–6 | 0.04 | 13% | 21 Jul → | ||
| 13–9 | 0.02 | 18% | 21 Jul → | ||
| 5–13 | -0.06 | 13% | 21 Jul → | ||
| 6–13 | 0.02 | 20% | 20 Jul → | ||
| 13–9 | -0.02 | 18% | 13 Jul → | ||
| 16–14 | 0.01 | 15% | 11 Jul → | ||
| 13–10 | 0.03 | 20% | 10 Jul → | ||
| 16–14 | 0.02 | 20% | 24 Jun → | ||
| 13–11 | -0.03 | 15% | 24 Jun → | ||
| 13–10 | -0.05 | 21% | 19 Jun → | ||
| 11–13 | -0.01 | 44% | 18 Jun → | ||
| 12–16 | 0.01 | 22% | 31 May → | ||
| 11–13 | -0.02 | 25% | 14 May → |
Match data via Leetify.