Erlang Shen — CS2 Stats
76561198015744465[U:1:55478737]✓ No bans
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 39.1% | 44.7% | 46.1% | 7.0% short |
| Shot accuracy | 20.5% | 11.9% | 12.6% | above |
| Kill/death ratio | 1.46 | 1.04 | 1.05 | above |
| Match win rate | 60.2% | 45.2% | 45.7% | above |
This profile matches the typical Level 7 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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: -30pp win rate · +0.00 avg rating
Player DNA
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 ZywOo 86% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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. 593ms 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 6.1/10 (Solid), 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 |
|---|---|---|---|---|---|
 dust2 | C | 36 | 14–22 | 39% | -0.01 |
 mirage | A | 12 | 7–5 | 58% | -0.01 |
 cache | D | 11 | 3–8 | 27% | -0.01 |
 inferno | C | 10 | 4–6 | 40% | 0.01 |
 nuke | B | 8 | 4–4 | 50% | -0.01 |
 vertigo | D | 6 | 2–4 | 33% | 0.02 |
 overpass | D | 6 | 2–4 | 33% | 0.00 |
 ancient | A | 5 | 3–2 | 60% | -0.00 |
 anubis | — | 3 | 2–1 | 67% | 0.02 |
| alpine | — | 1 | 0–1 | 0% | 0.07 |
| warden | — | 1 | 1–0 | 100% | -0.01 |
 train | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
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 resultsLWLLL
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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–3 | -0.01 | 28% | 9 Aug → | |
| inferno | 3–13 | -0.05 | 12% | 7 Aug → | |
| mirage | 5–4 | -0.02 | 100% | 7 Aug → | |
| dust2 | 3–13 | -0.02 | 40% | 7 Aug → | |
| anubis | 13–5 | 0.07 | 16% | 26 Jul → | |
| dust2 | 13–7 | 0.02 | 20% | 26 Jul → | |
| vertigo | 7–13 | 0.11 | 17% | 26 Jul → | |
| dust2 | 11–13 | -0.03 | 13% | 26 Jul → | |
| dust2 | 6–13 | -0.03 | 32% | 26 Jul → | |
| inferno | 6–13 | 0.05 | 14% | 26 Jul → | |
| overpass | 13–3 | 0.11 | 29% | 26 Jul → | |
| nuke | 10–13 | -0.08 | 14% | 26 Jul → | |
| overpass | 4–13 | -0.01 | 9% | 17 Jul → | |
| nuke | 12–12 | 0.01 | 8% | 17 Jul → | |
| dust2 | 13–7 | 0.01 | 18% | 16 Jul → | |
| mirage | 5–5 | 0.03 | 8% | 16 Jul → | |
| vertigo | 13–11 | 0.00 | 13% | 16 Jul → | |
| nuke | 13–4 | 0.00 | 9% | 13 Jul → | |
| ancient | 9–13 | -0.02 | 30% | 13 Jul → | |
| dust2 | 13–10 | 0.02 | 16% | 13 Jul → | |
| cache | 13–8 | 0.04 | 21% | 25 Jun → | |
| inferno | 13–4 | -0.06 | 10% | 25 Jun → | |
| dust2 | 13–6 | 0.00 | 14% | 23 Jun → | |
| dust2 | 13–2 | 0.03 | 13% | 23 Jun → | |
| dust2 | 3–13 | -0.06 | 30% | 20 Jun → | |
| dust2 | 6–13 | -0.02 | 11% | 18 Jun → | |
| dust2 | 13–9 | -0.04 | 19% | 18 Jun → | |
| dust2 | 13–6 | 0.01 | 13% | 18 Jun → | |
| cache | 13–7 | -0.00 | 13% | 12 Jun → | |
| dust2 | 5–13 | -0.06 | 10% | 6 Jun → | |
| vertigo | 13–6 | 0.06 | 12% | 6 Jun → | |
| mirage | 13–4 | 0.09 | 27% | 6 Jun → | |
| dust2 | 10–13 | -0.03 | 18% | 4 Jun → | |
| mirage | 13–2 | -0.01 | 14% | 4 Jun → | |
| nuke | 6–13 | -0.06 | 16% | 4 Jun → | |
| cache | 13–10 | 0.01 | 4% | 4 Jun → | |
| dust2 | 12–12 | -0.00 | 20% | 27 May → | |
| nuke | 13–2 | 0.04 | 17% | 27 May → | |
| mirage | 4–13 | -0.07 | 12% | 25 May → | |
| dust2 | 2–13 | 0.04 | 16% | 25 May → | |
| inferno | 13–5 | 0.06 | 22% | 25 May → | |
| ancient | 13–11 | -0.03 | 16% | 25 May → | |
| overpass | 13–1 | -0.01 | 8% | 25 May → | |
| cache | 8–13 | -0.05 | 13% | 25 May → | |
| dust2 | 7–13 | -0.10 | 8% | 25 May → | |
| dust2 | 2–13 | -0.02 | 3% | 22 May → | |
| overpass | 12–12 | 0.00 | 8% | 22 May → | |
| inferno | 10–13 | 0.00 | 16% | 22 May → | |
| dust2 | 13–5 | 0.09 | 30% | 20 May → | |
| dust2 | 12–12 | 0.03 | 26% | 18 May → | |
| inferno | 12–12 | 0.04 | 23% | 18 May → | |
| mirage | 13–7 | -0.03 | 22% | 18 May → | |
| dust2 | 10–13 | -0.03 | 16% | 18 May → | |
| cache | 7–13 | 0.02 | 25% | 18 May → | |
| mirage | 10–13 | -0.02 | 19% | 8 May → | |
| overpass | 11–13 | 0.01 | 14% | 8 May → | |
| cache | 6–13 | -0.05 | 35% | 8 May → | |
| cache | 4–13 | -0.05 | 42% | 8 May → | |
| alpine | 9–13 | 0.07 | 14% | 8 May → | |
| cache | 12–12 | 0.04 | 16% | 8 May → | |
| cache | 9–13 | -0.09 | 21% | 8 May → | |
| dust2 | 2–13 | -0.20 | 100% | 7 May → | |
| cache | 4–13 | -0.05 | 19% | 7 May → | |
| dust2 | 9–13 | -0.04 | 20% | 7 May → | |
| dust2 | 13–8 | 0.03 | 18% | 6 May → | |
| ancient | 13–0 | 0.08 | 25% | 6 May → | |
| mirage | 7–13 | -0.00 | 24% | 6 May → | |
| cache | 12–12 | 0.09 | 26% | 6 May → | |
| dust2 | 13–10 | -0.00 | 9% | 1 May → | |
| inferno | 13–6 | 0.00 | 15% | 1 May → | |
| dust2 | 11–7 | 0.03 | 26% | 28 Apr → | |
| warden | 13–9 | -0.01 | 4% | 28 Apr → | |
| ancient | 9–13 | -0.03 | 26% | 28 Apr → | |
| train | 13–10 | 0.01 | 13% | 28 Apr → | |
| overpass | 2–13 | -0.08 | 19% | 25 Apr → | |
| mirage | 0–3 | -0.02 | 0% | 25 Apr → | |
| vertigo | 4–13 | -0.03 | 17% | 25 Apr → | |
| dust2 | 11–13 | -0.04 | 17% | 25 Apr → | |
| dust2 | 11–13 | -0.04 | 9% | 22 Apr → | |
| nuke | 13–10 | -0.04 | 23% | 22 Apr → | |
| dust2 | 7–13 | -0.05 | 30% | 21 Apr → | |
| vertigo | 8–13 | -0.03 | 19% | 21 Apr → | |
| dust2 | 13–8 | -0.02 | 19% | 21 Apr → | |
| dust2 | 11–13 | 0.03 | 17% | 21 Apr → | |
| inferno | 12–12 | 0.05 | 19% | 16 Apr → | |
| vertigo | 12–12 | -0.00 | 12% | 16 Apr → | |
| dust2 | 12–12 | 0.02 | 20% | 16 Apr → | |
| mirage | 13–3 | -0.04 | 14% | 16 Apr → | |
| nuke | 5–13 | 0.01 | 14% | 14 Apr → | |
| mirage | 13–10 | 0.02 | 7% | 13 Apr → | |
| mirage | 13–7 | -0.03 | 26% | 13 Apr → | |
| dust2 | 13–9 | -0.03 | 10% | 10 Apr → | |
| anubis | 5–13 | 0.00 | 19% | 10 Apr → | |
| nuke | 13–11 | 0.03 | 14% | 7 Apr → | |
| anubis | 13–6 | -0.01 | 29% | 7 Apr → | |
| dust2 | 12–12 | 0.12 | 15% | 7 Apr → | |
| dust2 | 12–12 | 0.05 | 22% | 7 Apr → | |
| dust2 | 13–7 | -0.01 | 24% | 7 Apr → | |
| inferno | 6–13 | -0.06 | 16% | 7 Apr → | |
| inferno | 13–5 | 0.04 | 28% | 7 Apr → |
Match data via Leetify.