yin — CS2 Stats
76561199629663571[U:1:1669397843]✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 60.3% | 44.1% | 47.2% | above |
| Shot accuracy | 0.0% | 11.4% | 12.7% | 12.7% short |
| Kill/death ratio | 0.83 | 1.03 | 1.09 | 0.26 short |
| Match win rate | 34.3% | 45.2% | 46.6% | 12.3% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band 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: +10pp win rate · +0.03 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Sharp aimer
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 80% playstyle similarity
Most alike: aim profile, opening-fight frequency.
Where you differ: lower positioning profile; lower utility contribution.
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 91 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 56 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 604ms 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 6.0/10 (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 70 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 | 25 | 19–6 | 76% | 0.00 | |
| S | 18 | 15–3 | 83% | 0.02 | |
| A | 9 | 5–4 | 56% | -0.03 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| S | 5 | 4–1 | 80% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.04 |
Across the last 70 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno 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.
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 31.0625% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.10 | 23% | 2 Apr → | ||
| 5–13 | -0.05 | 7% | 25 Mar → | ||
| 13–7 | -0.08 | 4% | 22 Mar → | ||
| 6–13 | 0.03 | 13% | 22 Mar → | ||
| 13–3 | 0.04 | 19% | 21 Mar → | ||
| 13–7 | 0.08 | 13% | 20 Mar → | ||
| 0–9 | -0.01 | 50% | 20 Mar → | ||
| 13–3 | 0.09 | 32% | 1 Sept → | ||
| 13–0 | -0.03 | 40% | 10 Aug → | ||
| 13–0 | -0.00 | 60% | 10 Aug → | ||
| 5–13 | -0.10 | 36% | 10 Aug → | ||
| 2–13 | -0.05 | 14% | 10 Aug → | ||
| 0–7 | -0.04 | 25% | 10 Aug → | ||
| 13–1 | 0.12 | 27% | 10 Aug → | ||
| 2–7 | -0.09 | 0% | 28 Jul → | ||
| 13–1 | -0.01 | 28% | 28 Jul → | ||
| 13–0 | 0.04 | 33% | 28 Jul → | ||
| 13–1 | 0.00 | 45% | 28 Jul → | ||
| 2–0 | 0.01 | 100% | 28 Jul → | ||
| 13–4 | -0.04 | 14% | 27 Jul → | ||
| 13–0 | -0.01 | 31% | 27 Jul → | ||
| 13–1 | -0.05 | 27% | 27 Jul → | ||
| 13–2 | 0.04 | 39% | 27 Jul → | ||
| 13–8 | -0.01 | 30% | 27 Jul → | ||
| 4–13 | -0.04 | 100% | 26 Jul → | ||
| 13–2 | 0.02 | 20% | 26 Jul → | ||
| 13–1 | -0.00 | 24% | 26 Jul → | ||
| 13–3 | -0.08 | 0% | 26 Jul → | ||
| 5–1 | -0.04 | 18% | 26 Jul → | ||
| 13–4 | 0.01 | 19% | 26 Jul → | ||
| 1–6 | -0.07 | 100% | 26 Jul → | ||
| 1–13 | -0.07 | 33% | 26 Jul → | ||
| 3–0 | 0.08 | 0% | 24 Jul → | ||
| 13–2 | -0.04 | 11% | 23 Jul → | ||
| 1–13 | -0.03 | 22% | 23 Jul → | ||
| 3–1 | -0.06 | 100% | 23 Jul → | ||
| 4–13 | 0.02 | 41% | 22 Jul → | ||
| 2–0 | 0.11 | 0% | 22 Jul → | ||
| 13–3 | 0.06 | 36% | 22 Jul → | ||
| 13–7 | 0.07 | 19% | 22 Jul → | ||
| 13–0 | 0.01 | 29% | 22 Jul → | ||
| 2–0 | 0.00 | 0% | 22 Jul → | ||
| 2–13 | -0.10 | 20% | 22 Jul → | ||
| 11–0 | -0.06 | 50% | 22 Jul → | ||
| 13–5 | 0.22 | 19% | 21 Jul → | ||
| 13–5 | 0.05 | 47% | 21 Jul → | ||
| 1–13 | -0.09 | 100% | 20 Jul → | ||
| 13–3 | -0.02 | 20% | 20 Jul → | ||
| 15–15 | -0.08 | 4% | 20 Jul → | ||
| 5–13 | -0.07 | 0% | 20 Jul → | ||
| 13–3 | -0.02 | 50% | 20 Jul → | ||
| 1–4 | -0.05 | 0% | 20 Jul → | ||
| 13–10 | -0.02 | 23% | 20 Jul → | ||
| 10–0 | 0.03 | 17% | 20 Jul → | ||
| 13–10 | -0.03 | 19% | 19 Jul → | ||
| 13–8 | -0.03 | 53% | 19 Jul → | ||
| 13–3 | 0.17 | 33% | 19 Jul → | ||
| 13–11 | 0.03 | 28% | 19 Jul → | ||
| 13–4 | 0.11 | 29% | 19 Jul → | ||
| 13–11 | 0.00 | 7% | 19 Jul → | ||
| 13–0 | 0.08 | 23% | 19 Jul → | ||
| 1–13 | -0.00 | 39% | 19 Jul → | ||
| 13–5 | 0.14 | 26% | 19 Jul → | ||
| 5–13 | -0.07 | 13% | 19 Jul → | ||
| 13–8 | 0.04 | 26% | 19 Jul → | ||
| 4–12 | 0.02 | 19% | 16 Jul → | ||
| 13–9 | 0.03 | 26% | 14 Jul → | ||
| 13–2 | 0.07 | 39% | 14 Jul → | ||
| 11–2 | -0.04 | 37% | 13 Jul → | ||
| 13–2 | 0.15 | 25% | 13 Jul → |
Match data via Leetify.