chiken — CS2 Stats
US76561198286519084[U:1:326253356]Steam profile ↗✓ 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 | 38.9% | 44.1% | 47.2% | 8.3% short |
| Shot accuracy | 15.7% | 11.4% | 12.7% | above |
| Kill/death ratio | 1.47 | 1.03 | 1.09 | above |
| Match win rate | 54.2% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. 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: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 96% 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 87 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 574ms 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 7.2/10 (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 |
|---|---|---|---|---|---|
| C | 29 | 12–17 | 41% | 0.03 | |
| B | 25 | 13–12 | 52% | 0.04 | |
| A | 14 | 8–6 | 57% | 0.02 | |
| B | 11 | 5–6 | 45% | 0.00 | |
| S | 8 | 7–1 | 88% | 0.02 | |
| D | 7 | 2–5 | 29% | 0.02 | |
| S | 6 | 4–2 | 67% | 0.07 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% 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.
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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.05 | 25% | 28 Jun → | ||
| 5–13 | -0.00 | 21% | 28 Jun → | ||
| 13–10 | 0.11 | 20% | 28 Jun → | ||
| 13–7 | 0.10 | 21% | 18 Jun → | ||
| 8–6 | 0.07 | 18% | 15 May → | ||
| 13–7 | 0.01 | 24% | 15 May → | ||
| 10–13 | 0.02 | 12% | 12 May → | ||
| 9–1 | 0.05 | 11% | 12 May → | ||
| 10–13 | -0.02 | 17% | 11 May → | ||
| 9–13 | 0.04 | 22% | 30 Apr → | ||
| 13–10 | 0.05 | 33% | 13 Apr → | ||
| 10–13 | 0.06 | 10% | 13 Apr → | ||
| 8–13 | 0.01 | 23% | 11 Apr → | ||
| 13–10 | 0.08 | 14% | 10 Apr → | ||
| 11–13 | 0.05 | 22% | 5 Apr → | ||
| 7–13 | -0.02 | 30% | 19 Mar → | ||
| 10–13 | 0.02 | 24% | 19 Mar → | ||
| 13–9 | 0.03 | 16% | 16 Mar → | ||
| 4–13 | 0.01 | 14% | 16 Mar → | ||
| 6–13 | 0.02 | 26% | 16 Mar → | ||
| 13–9 | 0.09 | 21% | 2 Mar → | ||
| 13–5 | 0.12 | 10% | 2 Mar → | ||
| 13–5 | 0.08 | 23% | 2 Mar → | ||
| 13–10 | 0.13 | 19% | 1 Mar → | ||
| 13–11 | 0.03 | 13% | 1 Mar → | ||
| 5–13 | 0.00 | 13% | 1 Mar → | ||
| 13–3 | 0.06 | 21% | 28 Feb → | ||
| 13–5 | 0.16 | 27% | 28 Feb → | ||
| 3–13 | 0.09 | 14% | 27 Feb → | ||
| 13–6 | -0.03 | 16% | 27 Feb → | ||
| 13–11 | -0.03 | 9% | 25 Feb → | ||
| 16–14 | 0.07 | 20% | 25 Feb → | ||
| 13–6 | 0.06 | 21% | 25 Feb → | ||
| 13–16 | 0.01 | 25% | 23 Feb → | ||
| 7–13 | 0.09 | 13% | 23 Feb → | ||
| 13–11 | 0.02 | 14% | 12 Feb → | ||
| 13–2 | 0.17 | 23% | 12 Feb → | ||
| 16–14 | 0.03 | 15% | 10 Feb → | ||
| 3–8 | -0.09 | 33% | 10 Feb → | ||
| 13–5 | 0.06 | 42% | 9 Feb → | ||
| 13–5 | 0.01 | 22% | 9 Feb → | ||
| 16–13 | 0.03 | 11% | 9 Feb → | ||
| 7–13 | 0.02 | 75% | 8 Feb → | ||
| 13–8 | 0.12 | 12% | 6 Feb → | ||
| 16–12 | 0.03 | 27% | 5 Feb → | ||
| 13–10 | -0.04 | 16% | 5 Feb → | ||
| 6–13 | -0.01 | 25% | 5 Feb → | ||
| 16–14 | 0.08 | 23% | 5 Feb → | ||
| 4–13 | -0.04 | 18% | 3 Feb → | ||
| 10–13 | 0.00 | 15% | 2 Feb → | ||
| 15–15 | 0.00 | 7% | 1 Feb → | ||
| 13–9 | 0.02 | 13% | 1 Feb → | ||
| 0–13 | -0.08 | 10% | 1 Feb → | ||
| 13–11 | 0.05 | 13% | 1 Feb → | ||
| 6–13 | 0.00 | 19% | 1 Feb → | ||
| 5–13 | -0.08 | 9% | 1 Feb → | ||
| 4–13 | 0.04 | 23% | 1 Feb → | ||
| 13–9 | -0.01 | 23% | 1 Feb → | ||
| 2–13 | -0.07 | 10% | 1 Feb → | ||
| 13–3 | -0.04 | 16% | 31 Jan → | ||
| 13–4 | 0.04 | 14% | 31 Jan → | ||
| 13–1 | 0.11 | 6% | 31 Jan → | ||
| 10–13 | 0.00 | 6% | 31 Jan → | ||
| 3–13 | -0.05 | 22% | 31 Jan → | ||
| 13–10 | 0.03 | 20% | 31 Jan → | ||
| 13–4 | 0.03 | 9% | 31 Jan → | ||
| 11–13 | 0.01 | 7% | 31 Jan → | ||
| 13–9 | -0.05 | 9% | 31 Jan → | ||
| 11–13 | 0.05 | 16% | 30 Jan → | ||
| 10–13 | 0.06 | 15% | 30 Jan → | ||
| 7–13 | -0.04 | 29% | 29 Jan → | ||
| 13–6 | 0.07 | 18% | 29 Jan → | ||
| 9–13 | 0.01 | 12% | 29 Jan → | ||
| 12–16 | 0.02 | 15% | 29 Jan → | ||
| 13–6 | 0.01 | 10% | 29 Jan → | ||
| 13–1 | -0.00 | 22% | 29 Jan → | ||
| 16–14 | -0.01 | 10% | 29 Jan → | ||
| 8–13 | -0.02 | 23% | 29 Jan → | ||
| 7–13 | -0.02 | 21% | 28 Jan → | ||
| 5–13 | -0.05 | 23% | 28 Jan → | ||
| 15–15 | -0.00 | 28% | 27 Jan → | ||
| 13–7 | 0.10 | 17% | 27 Jan → | ||
| 13–5 | 0.04 | 21% | 27 Jan → | ||
| 16–13 | 0.05 | 16% | 27 Jan → | ||
| 8–13 | -0.03 | 19% | 26 Jan → | ||
| 6–13 | -0.05 | 19% | 26 Jan → | ||
| 13–9 | 0.04 | 19% | 26 Jan → | ||
| 13–16 | 0.08 | 10% | 25 Jan → | ||
| 15–15 | 0.05 | 16% | 25 Jan → | ||
| 13–9 | -0.01 | 16% | 25 Jan → | ||
| 3–13 | 0.05 | 19% | 25 Jan → | ||
| 10–13 | -0.04 | 13% | 25 Jan → | ||
| 2–13 | -0.01 | 18% | 25 Jan → | ||
| 13–11 | 0.12 | 10% | 24 Jan → | ||
| 7–13 | 0.02 | 11% | 24 Jan → | ||
| 6–13 | 0.02 | 25% | 24 Jan → | ||
| 7–13 | 0.00 | 10% | 24 Jan → | ||
| 13–11 | -0.00 | 19% | 23 Jan → | ||
| 13–10 | -0.03 | 24% | 22 Jan → | ||
| 13–3 | 0.09 | 31% | 22 Jan → |
Match data via Leetify.