nocny pastuch — CS2 Stats
PL76561198311105410[U:1:350839682]Steam profile ↗
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 | 59.7% | 52.0% |
| Shot accuracy | 18.2% | 13.7% |
| Kill/death ratio | 1.14 | 1.08 |
| Match win rate | 39.6% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · -0.02 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 ropz 91% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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 86 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.
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 54% on CT to 31% 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 6.1/10 (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 | 23 | 8–15 | 35% | -0.01 | |
| B | 19 | 9–10 | 47% | 0.02 | |
| S | 18 | 13–5 | 72% | 0.01 | |
| C | 14 | 6–8 | 43% | 0.02 | |
| B | 13 | 7–6 | 54% | 0.05 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.00 | |
| — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Mirage 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 | 401 | 51% | 1.12 | 17.9 |
| Dust2 | 258 | 45% | 1.04 | 17.6 |
| Ancient | 256 | 50% | 1.10 | 17.5 |
| Anubis | 215 | 49% | 1.12 | 18.8 |
| Inferno | 125 | 54% | 1.14 | 18.3 |
| Nuke | 108 | 49% | 1.07 | 18.3 |
| Vertigo | 59 | 58% | 1.07 | 17.8 |
| Overpass | 54 | 59% | 1.18 | 18.1 |
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 31.1686% — 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.
35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.02 | 26% | 14 Aug → | ||
| 13–10 | -0.03 | 30% | 11 Aug → | ||
| 9–13 | -0.07 | 35% | 4 Aug → | ||
| 13–5 | -0.03 | 13% | 23 Jul → | ||
| 13–8 | 0.01 | 20% | 25 Jun → | ||
| 13–10 | -0.03 | 23% | 24 Jun → | ||
| 13–11 | 0.08 | 24% | 19 Jun → | ||
| 13–11 | -0.02 | 28% | 21 May → | ||
| 6–13 | -0.07 | 30% | 6 May → | ||
| 13–11 | 0.05 | 21% | 30 Apr → | ||
| 10–13 | -0.02 | 20% | 29 Apr → | ||
| 13–16 | 0.02 | 30% | 22 Apr → | ||
| 9–13 | 0.07 | 39% | 10 Apr → | ||
| 16–13 | 0.01 | 26% | 24 Mar → | ||
| 7–13 | 0.04 | 29% | 22 Mar → | ||
| 11–13 | -0.01 | 31% | 19 Mar → | ||
| 13–11 | -0.06 | 15% | 19 Mar → | ||
| 13–5 | 0.05 | 34% | 19 Mar → | ||
| 8–13 | 0.04 | 28% | 19 Mar → | ||
| 5–13 | -0.02 | 18% | 19 Mar → | ||
| 11–13 | -0.00 | 30% | 15 Mar → | ||
| 8–13 | 0.04 | 19% | 15 Mar → | ||
| 15–19 | -0.03 | 28% | 14 Mar → | ||
| 8–13 | -0.01 | 32% | 14 Mar → | ||
| 6–13 | -0.01 | 18% | 5 Mar → | ||
| 5–13 | -0.07 | 17% | 2 Mar → | ||
| 13–8 | 0.06 | 32% | 1 Mar → | ||
| 9–13 | -0.01 | 27% | 21 Feb → | ||
| 6–13 | -0.03 | 19% | 21 Feb → | ||
| 13–9 | 0.04 | 33% | 11 Feb → | ||
| 13–9 | 0.07 | 32% | 11 Feb → | ||
| 13–11 | 0.15 | 24% | 11 Feb → | ||
| 13–8 | -0.03 | 21% | 10 Feb → | ||
| 9–13 | 0.04 | 8% | 10 Feb → | ||
| 16–14 | 0.05 | 22% | 2 Feb → | ||
| 11–13 | 0.01 | 21% | 2 Feb → | ||
| 16–14 | -0.01 | 19% | 1 Feb → | ||
| 13–7 | -0.01 | 26% | 30 Jan → | ||
| 4–13 | 0.01 | 30% | 30 Dec → | ||
| 9–13 | -0.08 | 26% | 19 Dec → | ||
| 4–13 | -0.06 | 19% | 16 Dec → | ||
| 9–13 | -0.03 | 15% | 13 Dec → | ||
| 8–13 | 0.04 | 44% | 12 Dec → | ||
| 13–11 | 0.00 | 23% | 11 Dec → | ||
| 4–13 | -0.06 | 20% | 9 Dec → | ||
| 13–8 | 0.05 | 28% | 1 Dec → | ||
| 16–13 | 0.01 | 29% | 28 Nov → | ||
| 13–10 | 0.04 | 23% | 6 Nov → | ||
| 9–13 | -0.03 | 29% | 6 Nov → | ||
| 8–13 | 0.02 | 34% | 18 Oct → | ||
| 6–13 | -0.06 | 15% | 1 Oct → | ||
| 13–8 | 0.04 | 25% | 25 Sept → | ||
| 14–16 | 0.04 | 21% | 9 Sept → | ||
| 10–13 | -0.04 | 21% | 29 Aug → | ||
| 5–13 | -0.03 | 28% | 28 Aug → | ||
| 13–8 | 0.00 | 28% | 24 Aug → | ||
| 16–13 | 0.05 | 28% | 19 Aug → | ||
| 13–11 | 0.02 | 13% | 31 Jul → | ||
| 8–13 | 0.07 | 27% | 30 Jul → | ||
| 13–8 | 0.04 | 23% | 25 Jul → | ||
| 13–3 | 0.02 | 30% | 16 Jul → | ||
| 8–13 | 0.05 | 23% | 15 Jul → | ||
| 11–13 | -0.01 | 20% | 10 Jul → | ||
| 7–13 | -0.08 | 22% | 9 Jul → | ||
| 4–13 | -0.00 | 25% | 4 Jul → | ||
| 9–13 | -0.04 | 26% | 26 Jun → | ||
| 13–9 | 0.08 | 17% | 26 Jun → | ||
| 15–15 | 0.11 | 22% | 26 Jun → | ||
| 13–3 | 0.17 | 20% | 26 Jun → | ||
| 12–16 | -0.04 | 17% | 26 Jun → | ||
| 14–16 | 0.03 | 26% | 25 Jun → | ||
| 11–13 | 0.02 | 29% | 25 Jun → | ||
| 13–6 | 0.03 | 32% | 25 Jun → | ||
| 13–6 | 0.07 | 39% | 25 Jun → | ||
| 14–16 | 0.04 | 28% | 24 Jun → | ||
| 13–9 | -0.05 | 17% | 18 Jun → | ||
| 13–10 | 0.08 | 25% | 18 Jun → | ||
| 5–13 | 0.02 | 16% | 18 Jun → | ||
| 9–13 | 0.04 | 22% | 10 Jun → | ||
| 10–0 | 0.03 | 43% | 3 Jun → | ||
| 13–5 | 0.07 | 25% | 30 May → | ||
| 14–16 | -0.04 | 20% | 13 May → | ||
| 13–10 | -0.02 | 15% | 13 May → | ||
| 13–11 | -0.02 | 21% | 13 May → | ||
| 13–2 | -0.04 | 25% | 13 May → | ||
| 10–13 | -0.00 | 28% | 8 May → | ||
| 13–5 | 0.04 | 17% | 6 May → | ||
| 10–13 | 0.02 | 32% | 5 May → | ||
| 13–6 | 0.10 | 51% | 5 May → | ||
| 13–9 | -0.00 | 30% | 23 Apr → | ||
| 13–3 | 0.21 | 36% | 22 Apr → | ||
| 7–13 | -0.00 | 23% | 8 Apr → | ||
| 8–13 | 0.09 | 22% | 9 Mar → | ||
| 0–13 | -0.04 | 19% | 6 Mar → | ||
| 8–1 | 0.02 | 25% | 6 Mar → | ||
| 13–11 | 0.05 | 24% | 6 Mar → | ||
| 9–13 | -0.08 | 30% | 27 Feb → | ||
| 10–13 | -0.04 | 34% | 27 Feb → | ||
| 13–10 | 0.07 | 29% | 24 Feb → | ||
| 13–11 | 0.01 | 38% | 12 Feb → |
Match data via Leetify.