yung lean enjoyer — CS2 Stats
76561198060727194[U:1:100461466]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 | 52.6% | 52.0% |
| Shot accuracy | 14.6% | 13.7% |
| Kill/death ratio | 1.08 | 1.08 |
| Match win rate | 47.6% | 48.8% |
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: +0pp win rate · -0.00 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 sh1ro 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 88 — the mechanical foundation is a clear strength.
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 58% 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 7.3/10 (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 |
|---|---|---|---|---|---|
| S | 27 | 22–5 | 81% | 0.02 | |
| C | 24 | 10–14 | 42% | 0.02 | |
| C | 15 | 6–9 | 40% | 0.00 | |
| A | 11 | 7–4 | 64% | 0.03 | |
| C | 8 | 3–5 | 38% | -0.00 | |
| A | 7 | 4–3 | 57% | 0.00 | |
| A | 7 | 4–3 | 57% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 8). 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 | 119 | 56% | 1.34 | 19.1 |
| Dust2 | 54 | 57% | 1.19 | 18.8 |
| Ancient | 48 | 42% | 1.35 | 19.2 |
| Anubis | 33 | 58% | 1.76 | 22.0 |
| Inferno | 30 | 47% | 1.50 | 19.4 |
| Nuke | 25 | 56% | 1.47 | 18.5 |
| Cache | 23 | 57% | 1.16 | 18.1 |
| Overpass | 7 | 43% | 1.49 | 18.7 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.07 | 28% | 9 Aug → | ||
| 13–6 | -0.04 | 26% | 9 Aug → | ||
| 13–10 | -0.03 | 17% | 9 Aug → | ||
| 8–13 | -0.03 | 16% | 9 Aug → | ||
| 11–13 | 0.01 | 22% | 9 Aug → | ||
| 6–13 | -0.02 | 20% | 8 Aug → | ||
| 13–7 | -0.03 | 18% | 8 Aug → | ||
| 13–4 | -0.03 | 30% | 8 Aug → | ||
| 13–11 | -0.03 | 19% | 8 Aug → | ||
| 13–7 | 0.04 | 14% | 8 Aug → | ||
| 13–5 | -0.03 | 24% | 7 Aug → | ||
| 13–11 | -0.01 | 12% | 4 Aug → | ||
| 13–7 | 0.02 | 18% | 4 Aug → | ||
| 13–8 | 0.02 | 20% | 3 Aug → | ||
| 8–13 | 0.01 | 17% | 3 Aug → | ||
| 13–6 | 0.02 | 14% | 3 Aug → | ||
| 5–13 | -0.05 | 32% | 3 Aug → | ||
| 7–13 | -0.05 | 43% | 3 Aug → | ||
| 19–16 | -0.01 | 29% | 2 Aug → | ||
| 13–7 | 0.02 | 27% | 2 Aug → | ||
| 13–3 | 0.09 | 37% | 30 Jul → | ||
| 0–5 | -0.04 | 22% | 23 Jul → | ||
| 13–7 | 0.03 | 32% | 23 Jul → | ||
| 13–5 | 0.12 | 35% | 18 Jul → | ||
| 0–4 | -0.02 | 50% | 18 Jul → | ||
| 13–4 | -0.02 | 42% | 17 Jul → | ||
| 16–13 | 0.02 | 18% | 17 Jul → | ||
| 16–13 | -0.03 | 12% | 17 Jul → | ||
| 19–16 | -0.01 | 24% | 6 Jul → | ||
| 13–6 | 0.08 | 35% | 6 Jul → | ||
| 9–13 | 0.00 | 26% | 1 Jul → | ||
| 8–13 | -0.02 | 18% | 1 Jul → | ||
| 13–8 | 0.06 | 36% | 1 Jul → | ||
| 13–11 | 0.06 | 38% | 29 Jun → | ||
| 11–13 | 0.04 | 19% | 27 Jun → | ||
| 13–10 | -0.04 | 33% | 27 Jun → | ||
| 13–1 | 0.06 | 18% | 27 Jun → | ||
| 13–3 | 0.08 | 20% | 26 Jun → | ||
| 16–14 | 0.06 | 26% | 26 Jun → | ||
| 10–13 | 0.02 | 40% | 26 Jun → | ||
| 16–13 | 0.02 | 27% | 21 Jun → | ||
| 11–13 | 0.01 | 25% | 17 Jun → | ||
| 12–16 | -0.00 | 32% | 17 Jun → | ||
| 15–15 | 0.02 | 26% | 17 Jun → | ||
| 13–6 | 0.06 | 19% | 15 Jun → | ||
| 1–13 | 0.04 | 34% | 15 Jun → | ||
| 13–10 | 0.09 | 32% | 13 Jun → | ||
| 7–13 | -0.01 | 22% | 13 Jun → | ||
| 11–13 | 0.02 | 29% | 13 Jun → | ||
| 13–11 | 0.02 | 27% | 12 Jun → | ||
| 4–13 | -0.04 | 29% | 12 Jun → | ||
| 11–13 | -0.01 | 29% | 12 Jun → | ||
| 13–7 | 0.06 | 22% | 12 Jun → | ||
| 8–13 | 0.02 | 30% | 12 Jun → | ||
| 16–14 | 0.07 | 27% | 12 Jun → | ||
| 13–4 | 0.07 | 41% | 12 Jun → | ||
| 4–13 | -0.01 | 19% | 10 Jun → | ||
| 13–5 | 0.07 | 32% | 10 Jun → | ||
| 0–4 | 0.05 | 50% | 10 Jun → | ||
| 8–13 | -0.00 | 26% | 10 Jun → | ||
| 13–9 | 0.08 | 23% | 10 Jun → | ||
| 13–11 | 0.02 | 36% | 10 Jun → | ||
| 13–5 | 0.01 | 25% | 8 Jun → | ||
| 11–13 | -0.02 | 33% | 8 Jun → | ||
| 6–13 | 0.01 | 48% | 8 Jun → | ||
| 4–13 | -0.01 | 23% | 7 Jun → | ||
| 13–5 | 0.02 | 24% | 7 Jun → | ||
| 13–10 | -0.04 | 31% | 7 Jun → | ||
| 13–8 | 0.07 | 32% | 6 Jun → | ||
| 13–7 | 0.06 | 28% | 6 Jun → | ||
| 7–13 | -0.06 | 21% | 6 Jun → | ||
| 6–13 | -0.04 | 32% | 5 Jun → | ||
| 11–13 | 0.04 | 34% | 5 Jun → | ||
| 13–10 | 0.03 | 44% | 5 Jun → | ||
| 13–9 | 0.07 | 19% | 4 Jun → | ||
| 13–9 | 0.15 | 36% | 4 Jun → | ||
| 13–8 | 0.01 | 27% | 31 May → | ||
| 13–6 | 0.01 | 29% | 31 May → | ||
| 8–13 | 0.05 | 25% | 31 May → | ||
| 5–13 | -0.03 | 20% | 30 May → | ||
| 7–13 | -0.06 | 37% | 30 May → | ||
| 8–13 | 0.00 | 33% | 30 May → | ||
| 8–13 | -0.03 | 28% | 30 May → | ||
| 13–1 | 0.10 | 23% | 29 May → | ||
| 5–13 | 0.04 | 21% | 29 May → | ||
| 13–11 | 0.01 | 42% | 26 May → | ||
| 6–13 | -0.05 | 48% | 26 May → | ||
| 13–3 | -0.02 | 33% | 26 May → | ||
| 16–13 | 0.02 | 34% | 26 May → | ||
| 13–8 | 0.08 | 15% | 25 May → | ||
| 13–8 | 0.01 | 17% | 25 May → | ||
| 13–16 | -0.06 | 19% | 25 May → | ||
| 13–6 | 0.03 | 28% | 25 May → | ||
| 8–13 | 0.05 | 24% | 25 May → | ||
| 5–13 | -0.09 | 21% | 25 May → | ||
| 10–13 | 0.02 | 24% | 23 May → | ||
| 10–13 | 0.07 | 28% | 23 May → | ||
| 13–6 | 0.09 | 37% | 23 May → | ||
| 7–13 | -0.02 | 17% | 19 May → | ||
| 16–14 | 0.09 | 21% | 19 May → |
Match data via Leetify.