nyzy — CS2 Stats
MN76561198373792008[U:1:413526280]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 | 51.9% | 52.8% |
| Shot accuracy | 12.7% | 13.7% |
| Kill/death ratio | 1.06 | 1.08 |
| Match win rate | 45.2% | 49.2% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.00 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: utility contribution, 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 87 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 47% on CT to 20% 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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 31 | 18–13 | 58% | 0.03 | |
| A | 23 | 14–9 | 61% | 0.03 | |
| C | 18 | 8–10 | 44% | 0.02 | |
| S | 8 | 6–2 | 75% | 0.02 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.08 | |
| — | 4 | 2–2 | 50% | 0.06 | |
| — | 2 | 2–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (43% over 7). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 872 | 50% | 1.10 | 17.0 |
| Ancient | 691 | 56% | 1.11 | 17.4 |
| Dust2 | 587 | 51% | 1.07 | 16.2 |
| Anubis | 403 | 48% | 1.09 | 17.0 |
| Inferno | 286 | 53% | 1.10 | 16.9 |
| Nuke | 170 | 50% | 1.10 | 16.8 |
| Vertigo | 81 | 57% | 1.19 | 18.8 |
| Train | 48 | 60% | 1.12 | 16.7 |
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 20.3743% — 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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.02 | 26% | 26 Aug → | ||
| 16–13 | 0.03 | 33% | 23 Aug → | ||
| 16–13 | 0.02 | 31% | 18 Aug → | ||
| 17–19 | -0.00 | 31% | 16 Aug → | ||
| 13–7 | 0.07 | 12% | 16 Aug → | ||
| 16–14 | 0.04 | 33% | 16 Aug → | ||
| 13–8 | -0.02 | 13% | 14 Aug → | ||
| 13–6 | 0.02 | 22% | 25 Jul → | ||
| 7–13 | 0.01 | 26% | 6 Jun → | ||
| 8–3 | 0.02 | 17% | 3 Jun → | ||
| 13–4 | 0.11 | 35% | 24 May → | ||
| 16–19 | 0.00 | 24% | 19 May → | ||
| 13–8 | 0.07 | 19% | 14 May → | ||
| 10–13 | 0.00 | 31% | 10 May → | ||
| 3–13 | -0.04 | 39% | 9 May → | ||
| 16–13 | 0.02 | 19% | 9 May → | ||
| 13–7 | -0.01 | 27% | 6 May → | ||
| 14–16 | -0.01 | 19% | 27 Apr → | ||
| 10–13 | 0.10 | 25% | 24 Apr → | ||
| 6–13 | -0.08 | 9% | 23 Apr → | ||
| 13–6 | 0.05 | 32% | 23 Apr → | ||
| 14–16 | -0.05 | 30% | 22 Apr → | ||
| 13–11 | -0.03 | 31% | 21 Apr → | ||
| 16–13 | 0.01 | 33% | 17 Apr → | ||
| 8–13 | 0.04 | 39% | 11 Apr → | ||
| 9–2 | 0.11 | 38% | 11 Apr → | ||
| 15–15 | -0.03 | 32% | 10 Apr → | ||
| 8–1 | -0.07 | 32% | 10 Apr → | ||
| 13–10 | -0.03 | 23% | 9 Apr → | ||
| 13–6 | 0.01 | 47% | 7 Apr → | ||
| 13–8 | 0.03 | 25% | 6 Apr → | ||
| 0–3 | -0.03 | 50% | 6 Apr → | ||
| 12–16 | -0.09 | 20% | 6 Apr → | ||
| 4–13 | -0.06 | 23% | 5 Apr → | ||
| 13–3 | 0.10 | 31% | 5 Apr → | ||
| 11–13 | 0.06 | 21% | 5 Apr → | ||
| 2–3 | -0.05 | 0% | 5 Apr → | ||
| 8–13 | -0.01 | 29% | 5 Apr → | ||
| 8–13 | -0.06 | 22% | 20 Mar → | ||
| 13–6 | 0.06 | 15% | 19 Mar → | ||
| 11–13 | 0.03 | 16% | 17 Mar → | ||
| 13–9 | -0.02 | 33% | 14 Mar → | ||
| 5–0 | 0.03 | 20% | 13 Mar → | ||
| 4–13 | -0.05 | 14% | 1 Mar → | ||
| 2–0 | 0.02 | 100% | 1 Mar → | ||
| 13–9 | 0.07 | 22% | 1 Mar → | ||
| 7–13 | 0.10 | 31% | 27 Feb → | ||
| 15–15 | 0.13 | 39% | 27 Feb → | ||
| 0–5 | -0.04 | 56% | 27 Feb → | ||
| 3–13 | -0.02 | 18% | 27 Feb → | ||
| 15–15 | 0.03 | 37% | 27 Feb → | ||
| 13–11 | 0.04 | 31% | 26 Feb → | ||
| 13–7 | 0.04 | 29% | 26 Feb → | ||
| 13–4 | 0.13 | 45% | 26 Feb → | ||
| 7–13 | 0.05 | 24% | 26 Feb → | ||
| 15–15 | 0.07 | 28% | 25 Feb → | ||
| 16–12 | 0.04 | 38% | 25 Feb → | ||
| 10–13 | 0.03 | 22% | 25 Feb → | ||
| 13–9 | 0.07 | 28% | 25 Feb → | ||
| 13–2 | 0.10 | 24% | 25 Feb → | ||
| 13–11 | 0.02 | 41% | 25 Feb → | ||
| 13–2 | 0.01 | 33% | 24 Feb → | ||
| 16–13 | 0.05 | 27% | 24 Feb → | ||
| 11–6 | 0.06 | 27% | 24 Feb → | ||
| 10–13 | 0.08 | 17% | 24 Feb → | ||
| 10–13 | 0.08 | 29% | 23 Feb → | ||
| 13–5 | 0.18 | 35% | 23 Feb → | ||
| 11–6 | 0.17 | 25% | 23 Feb → | ||
| 7–13 | 0.13 | 25% | 23 Feb → | ||
| 13–3 | 0.14 | 23% | 23 Feb → | ||
| 13–8 | 0.22 | 29% | 21 Feb → | ||
| 8–2 | 0.06 | 38% | 21 Feb → | ||
| 6–13 | -0.00 | 32% | 21 Feb → | ||
| 13–7 | 0.15 | 32% | 19 Feb → | ||
| 4–13 | 0.06 | 22% | 19 Feb → | ||
| 13–11 | 0.05 | 28% | 18 Feb → | ||
| 13–10 | 0.01 | 28% | 4 Feb → | ||
| 13–7 | -0.03 | 20% | 31 Jan → | ||
| 13–7 | 0.03 | 29% | 31 Jan → | ||
| 13–9 | -0.01 | 12% | 30 Jan → | ||
| 9–13 | 0.03 | 21% | 30 Jan → | ||
| 13–4 | 0.08 | 36% | 26 Jan → | ||
| 0–13 | -0.01 | 22% | 22 Jan → | ||
| 13–5 | -0.00 | 18% | 17 Jan → | ||
| 9–13 | 0.02 | 30% | 15 Jan → | ||
| 16–12 | 0.04 | 14% | 10 Jan → | ||
| 13–9 | 0.03 | 44% | 8 Jan → | ||
| 13–8 | 0.09 | 22% | 8 Jan → | ||
| 16–14 | -0.00 | 15% | 8 Jan → | ||
| 13–6 | 0.03 | 41% | 8 Jan → | ||
| 14–16 | 0.03 | 37% | 8 Jan → | ||
| 13–5 | 0.14 | 51% | 8 Jan → | ||
| 9–13 | -0.04 | 32% | 7 Jan → | ||
| 11–13 | 0.01 | 24% | 6 Jan → | ||
| 9–13 | -0.01 | 30% | 19 Dec → | ||
| 13–9 | 0.00 | 23% | 13 Dec → | ||
| 15–15 | 0.04 | 22% | 10 Dec → | ||
| 13–10 | 0.05 | 37% | 24 Nov → | ||
| 4–13 | -0.01 | 22% | 24 Nov → | ||
| 13–16 | -0.03 | 23% | 16 Nov → |
Match data via Leetify.