NOZES — CS2 Stats
VE76561198152028240[U:1:191762512]Steam profile ↗
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 38.7% | 49.0% | 52.0% | 13.3% short |
| Shot accuracy | 14.2% | 13.1% | 13.7% | above |
| Kill/death ratio | 0.98 | 1.08 | 1.08 | 0.10 short |
| Match win rate | 46.6% | 46.9% | 48.8% | 2.2% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 device 95% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: lower 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
Areas to improve
Reaction time. 551ms 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 7.5/10 (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 |
|---|---|---|---|---|---|
| S | 23 | 17–6 | 74% | 0.03 | |
| S | 18 | 12–6 | 67% | 0.02 | |
| A | 18 | 11–7 | 61% | 0.01 | |
| A | 12 | 7–5 | 58% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| D | 6 | 2–4 | 33% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 6). 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 51 | 51% | 1.20 | 17.1 |
| Ancient | 30 | 77% | 1.17 | 16.7 |
| Inferno | 24 | 58% | 1.31 | 14.5 |
| Anubis | 18 | 50% | 1.11 | 15.8 |
| Dust2 | 17 | 47% | 1.34 | 18.8 |
| Overpass | 16 | 62% | 1.48 | 19.3 |
| Vertigo | 12 | 50% | 0.99 | 15.6 |
| Nuke | 12 | 67% | 1.36 | 16.9 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.06 | 22% | 28 Aug → | ||
| 13–11 | -0.02 | 15% | 16 Aug → | ||
| 6–13 | -0.01 | 18% | 16 Aug → | ||
| 13–5 | 0.09 | 12% | 16 Aug → | ||
| 16–12 | -0.02 | 20% | 16 Aug → | ||
| 13–8 | -0.04 | 24% | 1 Aug → | ||
| 10–13 | 0.04 | 22% | 31 Jul → | ||
| 4–13 | -0.01 | 12% | 31 Jul → | ||
| 13–10 | 0.03 | 15% | 31 Jul → | ||
| 13–4 | 0.07 | 24% | 30 Jul → | ||
| 13–11 | -0.00 | 13% | 30 Jul → | ||
| 13–5 | 0.05 | 22% | 30 Jul → | ||
| 10–13 | -0.03 | 29% | 30 Jul → | ||
| 13–5 | 0.01 | 19% | 29 Jul → | ||
| 13–8 | 0.05 | 18% | 29 Jul → | ||
| 13–8 | 0.01 | 16% | 29 Jul → | ||
| 13–8 | 0.10 | 17% | 28 Jul → | ||
| 13–6 | 0.06 | 21% | 28 Jul → | ||
| 13–6 | 0.02 | 15% | 28 Jul → | ||
| 2–13 | -0.02 | 22% | 28 Jul → | ||
| 13–5 | 0.03 | 18% | 17 Jul → | ||
| 7–13 | 0.03 | 14% | 17 Jul → | ||
| 10–13 | -0.05 | 17% | 17 Jul → | ||
| 11–13 | 0.03 | 20% | 17 Jul → | ||
| 13–10 | -0.04 | 15% | 17 Jul → | ||
| 13–7 | 0.14 | 17% | 14 Jul → | ||
| 13–5 | 0.03 | 22% | 14 Jul → | ||
| 13–2 | 0.09 | 28% | 14 Jul → | ||
| 13–4 | 0.06 | 12% | 14 Jul → | ||
| 13–4 | 0.13 | 12% | 13 Jul → | ||
| 11–13 | 0.03 | 11% | 13 Jul → | ||
| 13–8 | -0.00 | 11% | 13 Jul → | ||
| 10–13 | -0.05 | 23% | 11 Jul → | ||
| 13–11 | 0.08 | 17% | 9 Jul → | ||
| 9–13 | -0.04 | 19% | 9 Jul → | ||
| 14–16 | -0.01 | 17% | 9 Jul → | ||
| 13–11 | 0.08 | 15% | 7 Jul → | ||
| 13–6 | 0.02 | 27% | 7 Jul → | ||
| 13–9 | 0.07 | 18% | 5 Jul → | ||
| 4–13 | 0.02 | 17% | 5 Jul → | ||
| 8–13 | 0.01 | 18% | 5 Jul → | ||
| 7–1 | 0.05 | 24% | 5 Jul → | ||
| 13–8 | 0.06 | 9% | 5 Jul → | ||
| 13–4 | 0.01 | 35% | 4 Jul → | ||
| 13–3 | 0.16 | 18% | 28 Jun → | ||
| 11–13 | -0.05 | 11% | 21 Jun → | ||
| 13–3 | 0.04 | 15% | 5 Jun → | ||
| 13–9 | 0.07 | 15% | 25 May → | ||
| 13–4 | 0.04 | 14% | 25 May → | ||
| 13–6 | 0.07 | 9% | 23 May → | ||
| 13–11 | 0.06 | 28% | 21 May → | ||
| 13–9 | -0.03 | 17% | 5 May → | ||
| 8–13 | -0.00 | 23% | 24 Apr → | ||
| 13–6 | 0.02 | 15% | 24 Apr → | ||
| 7–13 | -0.09 | 12% | 24 Apr → | ||
| 6–1 | 0.07 | 26% | 24 Apr → | ||
| 9–13 | -0.03 | 12% | 24 Apr → | ||
| 13–5 | -0.04 | 17% | 24 Apr → | ||
| 13–8 | -0.04 | 13% | 21 Apr → | ||
| 13–8 | 0.01 | 17% | 20 Mar → | ||
| 8–13 | -0.02 | 11% | 20 Mar → | ||
| 13–11 | -0.07 | 11% | 20 Mar → | ||
| 13–8 | 0.03 | 20% | 20 Mar → | ||
| 10–13 | -0.00 | 19% | 14 Mar → | ||
| 15–15 | -0.02 | 11% | 14 Mar → | ||
| 4–13 | 0.00 | 23% | 14 Mar → | ||
| 15–15 | -0.01 | 13% | 13 Mar → | ||
| 9–13 | 0.00 | 22% | 13 Mar → | ||
| 11–13 | 0.02 | 21% | 13 Mar → | ||
| 6–13 | -0.13 | 9% | 7 Mar → | ||
| 15–15 | -0.07 | 14% | 7 Mar → | ||
| 13–8 | 0.03 | 14% | 28 Feb → | ||
| 13–4 | 0.13 | 18% | 28 Feb → | ||
| 13–7 | 0.06 | 10% | 28 Feb → | ||
| 13–6 | 0.05 | 23% | 21 Feb → | ||
| 4–13 | 0.00 | 24% | 21 Feb → | ||
| 3–13 | -0.03 | 26% | 21 Feb → | ||
| 13–8 | 0.01 | 10% | 21 Feb → | ||
| 16–13 | 0.03 | 12% | 16 Feb → | ||
| 13–8 | 0.02 | 19% | 16 Feb → | ||
| 13–9 | 0.03 | 22% | 14 Feb → | ||
| 13–8 | 0.12 | 18% | 14 Feb → | ||
| 9–13 | -0.03 | 9% | 13 Feb → | ||
| 9–13 | -0.03 | 17% | 13 Feb → | ||
| 13–2 | 0.09 | 7% | 8 Feb → | ||
| 13–6 | 0.07 | 19% | 8 Feb → | ||
| 13–4 | 0.01 | 19% | 8 Feb → | ||
| 7–13 | -0.02 | 6% | 8 Feb → | ||
| 16–12 | -0.00 | 13% | 6 Feb → | ||
| 13–2 | -0.00 | 24% | 6 Feb → | ||
| 13–11 | 0.05 | 18% | 6 Feb → | ||
| 1–13 | -0.03 | 27% | 4 Feb → | ||
| 13–7 | -0.00 | 22% | 4 Feb → | ||
| 13–5 | -0.01 | 29% | 4 Feb → | ||
| 13–11 | 0.02 | 26% | 3 Feb → | ||
| 9–13 | -0.02 | 14% | 3 Feb → | ||
| 13–6 | -0.02 | 24% | 3 Feb → | ||
| 8–13 | -0.02 | 22% | 1 Feb → | ||
| 4–13 | -0.09 | 14% | 31 Jan → | ||
| 12–16 | 0.04 | 9% | 31 Jan → |
Match data via Leetify.