c1anK — CS2 Stats
76561199159469227[U:1:1199203499]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 55.2% | 52.8% | above |
| Shot accuracy | 8.3% | 13.7% | 5.5% short |
| Kill/death ratio | 0.90 | 1.08 | 0.18 short |
| Match win rate | 43.0% | 49.2% | 6.2% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 NiKo 92% playstyle similarity
Most alike: opening-duel success, positioning profile.
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
T-side openings. Opening success drops from 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 614ms 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 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 | 22 | 13–9 | 59% | 0.01 | |
| C | 19 | 8–11 | 42% | -0.00 | |
| S | 18 | 12–6 | 67% | 0.03 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| S | 9 | 8–1 | 89% | 0.05 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| S | 7 | 6–1 | 86% | 0.02 | |
| — | 4 | 3–1 | 75% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (42% over 19). 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 66 | 52% | 1.14 | 15.2 |
| Mirage | 46 | 48% | 1.02 | 14.1 |
| Nuke | 45 | 64% | 1.35 | 17.6 |
| Cache | 40 | 55% | 1.15 | 15.2 |
| Dust2 | 38 | 53% | 0.94 | 13.8 |
| Inferno | 36 | 50% | 1.24 | 17.3 |
| Ancient | 32 | 38% | 1.04 | 14.9 |
| Overpass | 13 | 69% | 1.12 | 17.1 |
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
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 26.633% — 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.
42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–13 | 0.06 | 25% | 28 Aug → | ||
| 7–13 | -0.03 | 45% | 28 Aug → | ||
| 13–8 | -0.01 | 37% | 26 Aug → | ||
| 13–9 | -0.01 | 29% | 26 Aug → | ||
| 3–13 | 0.01 | 28% | 26 Aug → | ||
| 13–7 | 0.12 | 41% | 26 Aug → | ||
| 11–13 | 0.01 | 16% | 25 Aug → | ||
| 5–12 | -0.01 | 18% | 24 Aug → | ||
| 13–10 | -0.02 | 29% | 24 Aug → | ||
| 11–13 | -0.00 | 25% | 24 Aug → | ||
| 8–8 | -0.08 | 21% | 23 Aug → | ||
| 11–13 | -0.08 | 22% | 22 Aug → | ||
| 13–4 | -0.02 | 16% | 20 Aug → | ||
| 13–6 | 0.13 | 21% | 19 Aug → | ||
| 3–13 | -0.10 | 46% | 19 Aug → | ||
| 13–8 | 0.03 | 26% | 18 Aug → | ||
| 22–19 | -0.03 | 23% | 16 Aug → | ||
| 13–11 | -0.05 | 18% | 13 Aug → | ||
| 13–7 | 0.01 | 18% | 13 Aug → | ||
| 6–13 | 0.05 | 23% | 13 Aug → | ||
| 10–13 | -0.03 | 27% | 10 Aug → | ||
| 13–6 | -0.04 | 13% | 10 Aug → | ||
| 13–8 | -0.07 | 13% | 8 Aug → | ||
| 9–13 | 0.01 | 18% | 8 Aug → | ||
| 13–4 | 0.06 | 17% | 8 Aug → | ||
| 11–13 | -0.01 | 28% | 6 Aug → | ||
| 4–13 | -0.01 | 18% | 4 Aug → | ||
| 10–13 | -0.01 | 20% | 4 Aug → | ||
| 7–13 | -0.00 | 15% | 3 Aug → | ||
| 13–6 | 0.05 | 19% | 2 Aug → | ||
| 8–13 | 0.01 | 25% | 1 Aug → | ||
| 13–11 | -0.00 | 33% | 31 Jul → | ||
| 13–6 | 0.14 | 19% | 22 Jul → | ||
| 13–6 | 0.03 | 24% | 19 Jul → | ||
| 13–6 | 0.09 | 25% | 19 Jul → | ||
| 13–5 | -0.02 | 31% | 19 Jul → | ||
| 5–13 | -0.01 | 18% | 16 Jul → | ||
| 8–13 | -0.08 | 13% | 15 Jul → | ||
| 13–1 | 0.06 | 41% | 12 Jul → | ||
| 13–11 | -0.01 | 16% | 11 Jul → | ||
| 7–13 | -0.03 | 29% | 11 Jul → | ||
| 1–13 | -0.07 | 20% | 11 Jul → | ||
| 6–9 | -0.01 | 13% | 6 Jul → | ||
| 13–3 | 0.18 | 21% | 2 Jul → | ||
| 13–10 | 0.07 | 22% | 2 Jul → | ||
| 13–7 | -0.03 | 28% | 1 Jul → | ||
| 8–13 | -0.06 | 25% | 1 Jul → | ||
| 10–13 | 0.01 | 20% | 1 Jul → | ||
| 11–13 | -0.06 | 13% | 30 Jun → | ||
| 13–10 | 0.02 | 22% | 30 Jun → | ||
| 13–7 | -0.04 | 24% | 30 Jun → | ||
| 16–12 | 0.01 | 18% | 30 Jun → | ||
| 16–13 | 0.05 | 15% | 30 Jun → | ||
| 9–4 | 0.07 | 28% | 30 Jun → | ||
| 10–13 | 0.01 | 24% | 29 Jun → | ||
| 13–10 | -0.04 | 30% | 27 Jun → | ||
| 13–11 | 0.02 | 23% | 27 Jun → | ||
| 13–11 | 0.00 | 20% | 27 Jun → | ||
| 13–4 | 0.02 | 18% | 27 Jun → | ||
| 13–7 | 0.08 | 13% | 27 Jun → | ||
| 13–11 | 0.01 | 17% | 26 Jun → | ||
| 11–13 | 0.01 | 23% | 26 Jun → | ||
| 13–10 | 0.06 | 21% | 25 Jun → | ||
| 11–13 | -0.03 | 14% | 25 Jun → | ||
| 13–6 | 0.06 | 13% | 25 Jun → | ||
| 13–10 | 0.20 | 16% | 25 Jun → | ||
| 16–13 | 0.02 | 22% | 25 Jun → | ||
| 13–6 | 0.16 | 28% | 25 Jun → | ||
| 9–13 | 0.08 | 19% | 25 Jun → | ||
| 13–6 | 0.12 | 24% | 24 Jun → | ||
| 9–7 | 0.12 | 16% | 24 Jun → | ||
| 9–4 | 0.10 | 20% | 24 Jun → | ||
| 5–13 | -0.07 | 9% | 24 Jun → | ||
| 11–13 | -0.00 | 15% | 24 Jun → | ||
| 13–9 | -0.04 | 13% | 24 Jun → | ||
| 13–9 | -0.06 | 21% | 24 Jun → | ||
| 5–13 | 0.04 | 28% | 24 Jun → | ||
| 13–3 | 0.05 | 24% | 24 Jun → | ||
| 7–13 | -0.06 | 24% | 24 Jun → | ||
| 13–11 | 0.06 | 23% | 23 Jun → | ||
| 14–16 | -0.01 | 17% | 23 Jun → | ||
| 13–11 | -0.03 | 20% | 23 Jun → | ||
| 13–2 | 0.09 | 24% | 22 Jun → | ||
| 13–1 | 0.11 | 30% | 22 Jun → | ||
| 13–10 | 0.02 | 15% | 22 Jun → | ||
| 19–17 | -0.00 | 32% | 22 Jun → | ||
| 16–14 | 0.11 | 25% | 21 Jun → | ||
| 4–13 | 0.01 | 22% | 21 Jun → | ||
| 13–7 | 0.06 | 23% | 21 Jun → | ||
| 10–13 | -0.01 | 24% | 19 Jun → | ||
| 13–5 | 0.09 | 27% | 18 Jun → | ||
| 13–5 | 0.03 | 13% | 18 Jun → | ||
| 2–13 | -0.07 | 11% | 18 Jun → | ||
| 10–13 | 0.01 | 16% | 15 Jun → | ||
| 13–7 | -0.01 | 14% | 15 Jun → | ||
| 16–12 | -0.00 | 17% | 15 Jun → | ||
| 4–13 | -0.04 | 23% | 13 Jun → | ||
| 13–11 | 0.03 | 28% | 13 Jun → | ||
| 13–8 | 0.07 | 20% | 13 Jun → | ||
| 13–8 | 0.05 | 28% | 13 Jun → |
Match data via Leetify.