CLANKER OR WW3 — CS2 Stats
76561198022463399[U:1:62197671]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 41.8% | 47.2% | 49.9% | 8.1% short |
| Shot accuracy | 10.5% | 12.7% | 13.4% | 2.8% short |
| Kill/death ratio | 1.01 | 1.09 | 1.12 | 0.11 short |
| Match win rate | 43.5% | 46.6% | 48.4% | 4.9% short |
This profile sits below the typical Red band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Red 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 · +0.00 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 ropz 92% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 561ms 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 (×1.02 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 |
|---|---|---|---|---|---|
| A | 28 | 16–12 | 57% | -0.00 | |
| C | 16 | 7–9 | 44% | 0.01 | |
| A | 14 | 9–5 | 64% | 0.02 | |
| C | 11 | 4–7 | 36% | 0.00 | |
| A | 11 | 7–4 | 64% | -0.00 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.05 | |
| office | — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Mirage 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 resultsLLLLW
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 | |
|---|---|---|---|---|---|
| 5–13 | -0.01 | 37% | 29 Aug → | ||
| 6–13 | -0.08 | 22% | 29 Aug → | ||
| 13–6 | -0.01 | 16% | 28 Aug → | ||
| 7–13 | 0.04 | 10% | 28 Aug → | ||
| 16–14 | 0.06 | 22% | 28 Aug → | ||
| 12–12 | 0.02 | 29% | 27 Aug → | ||
| 11–13 | 0.02 | 21% | 26 Aug → | ||
| 13–8 | 0.02 | 14% | 26 Aug → | ||
| 4–13 | -0.06 | 8% | 26 Aug → | ||
| 8–13 | 0.02 | 14% | 25 Aug → | ||
| 4–13 | -0.05 | 26% | 25 Aug → | ||
| 11–13 | -0.01 | 12% | 24 Aug → | ||
| 13–11 | 0.00 | 15% | 24 Aug → | ||
| 10–13 | 0.01 | 9% | 22 Aug → | ||
| 7–13 | 0.01 | 15% | 22 Aug → | ||
| 13–6 | 0.03 | 28% | 21 Aug → | ||
| 13–10 | -0.01 | 13% | 20 Aug → | ||
| 13–7 | 0.00 | 18% | 20 Aug → | ||
| 9–13 | -0.01 | 12% | 20 Aug → | ||
| 11–13 | 0.02 | 25% | 19 Aug → | ||
| 13–2 | 0.08 | 16% | 19 Aug → | ||
| 13–9 | 0.08 | 18% | 19 Aug → | ||
| 15–15 | 0.01 | 19% | 19 Aug → | ||
| 13–2 | -0.03 | 20% | 19 Aug → | ||
| 1–13 | -0.11 | 25% | 18 Aug → | ||
| 3–13 | -0.06 | 25% | 17 Aug → | ||
| 9–13 | -0.03 | 17% | 16 Aug → | ||
| 1–13 | -0.07 | 19% | 16 Aug → | ||
| 13–11 | 0.05 | 17% | 14 Aug → | ||
| 5–13 | 0.00 | 9% | 14 Aug → | ||
| 13–11 | -0.02 | 13% | 14 Aug → | ||
| 13–11 | 0.06 | 19% | 14 Aug → | ||
| 13–6 | 0.07 | 24% | 14 Aug → | ||
| 13–11 | 0.04 | 35% | 13 Aug → | ||
| 13–6 | -0.03 | 24% | 13 Aug → | ||
| 4–13 | 0.02 | 18% | 12 Aug → | ||
| 16–14 | -0.05 | 19% | 10 Aug → | ||
| 16–14 | 0.05 | 17% | 10 Aug → | ||
| 13–2 | 0.05 | 32% | 8 Aug → | ||
| 2–13 | -0.06 | 21% | 8 Aug → | ||
| 10–13 | -0.05 | 22% | 7 Aug → | ||
| 8–13 | -0.03 | 17% | 7 Aug → | ||
| 13–11 | 0.04 | 9% | 7 Aug → | ||
| 15–15 | -0.01 | 9% | 6 Aug → | ||
| 9–13 | 0.03 | 20% | 6 Aug → | ||
| 8–13 | 0.02 | 31% | 6 Aug → | ||
| 13–6 | 0.15 | 19% | 3 Aug → | ||
| 16–14 | -0.01 | 14% | 3 Aug → | ||
| 13–11 | 0.02 | 16% | 2 Aug → | ||
| 16–12 | 0.04 | 31% | 2 Aug → | ||
| 13–10 | -0.07 | 23% | 2 Aug → | ||
| 13–11 | 0.00 | 25% | 2 Aug → | ||
| 15–15 | -0.01 | 13% | 31 Jul → | ||
| 9–13 | 0.03 | 24% | 31 Jul → | ||
| 11–13 | -0.00 | 24% | 30 Jul → | ||
| 1–13 | -0.05 | 25% | 27 Jul → | ||
| 13–10 | 0.06 | 16% | 27 Jul → | ||
| 7–13 | -0.07 | 15% | 26 Jul → | ||
| 13–8 | -0.01 | 13% | 26 Jul → | ||
| 2–13 | -0.05 | 19% | 26 Jul → | ||
| 13–10 | 0.11 | 27% | 24 Jul → | ||
| 13–6 | 0.05 | 33% | 23 Jul → | ||
| 13–8 | -0.03 | 39% | 17 Jul → | ||
| 13–3 | 0.04 | 22% | 17 Jul → | ||
| 7–13 | 0.00 | 11% | 9 Jun → | ||
| 13–5 | 0.02 | 35% | 9 Jun → | ||
| 13–8 | -0.04 | 18% | 7 Jun → | ||
| 6–13 | 0.03 | 23% | 7 Jun → | ||
| 13–4 | -0.05 | 14% | 7 Jun → | ||
| 13–4 | -0.00 | 23% | 6 Jun → | ||
| 8–13 | 0.03 | 15% | 5 Jun → | ||
| 9–13 | 0.01 | 19% | 1 Jun → | ||
| office | 9–13 | -0.06 | 25% | 1 Jun → | |
| 13–11 | -0.04 | 16% | 28 May → | ||
| 6–1 | -0.03 | 50% | 28 May → | ||
| 13–3 | 0.01 | 28% | 28 May → | ||
| 9–13 | -0.02 | 25% | 20 May → | ||
| 13–5 | -0.00 | 5% | 19 May → | ||
| 10–13 | 0.04 | 21% | 18 May → | ||
| 13–10 | 0.08 | 7% | 18 May → | ||
| 8–13 | -0.02 | 33% | 18 May → | ||
| office | 13–11 | 0.01 | 33% | 16 May → | |
| 13–1 | -0.00 | 22% | 16 May → | ||
| 7–13 | 0.02 | 21% | 16 May → | ||
| 9–13 | 0.02 | 20% | 15 May → | ||
| 13–1 | -0.06 | 22% | 15 May → | ||
| 9–13 | -0.06 | 8% | 15 May → | ||
| 13–4 | 0.09 | 23% | 15 May → | ||
| 13–5 | 0.06 | 36% | 15 May → | ||
| 13–7 | 0.00 | 16% | 15 May → | ||
| 0–13 | -0.07 | 12% | 15 May → | ||
| 10–13 | -0.04 | 18% | 15 May → | ||
| 12–12 | 0.04 | 24% | 14 May → | ||
| 13–11 | -0.07 | 11% | 13 May → | ||
| 7–13 | -0.07 | 17% | 13 May → | ||
| 13–9 | 0.03 | 19% | 13 May → | ||
| 13–0 | 0.01 | 20% | 13 May → | ||
| 13–11 | -0.00 | 27% | 10 May → | ||
| 13–8 | -0.01 | 8% | 9 May → | ||
| 13–7 | -0.07 | 15% | 9 May → |
Match data via Leetify.