S0kkenッ — CS2 Stats
NO76561198415827997[U:1:455562269]Steam profile ↗
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 | 39.8% | 44.9% | 46.2% | 6.4% short |
| Shot accuracy | 16.3% | 11.8% | 12.5% | above |
| Kill/death ratio | 1.07 | 1.04 | 1.06 | meets |
| Match win rate | 46.7% | 45.3% | 45.9% | meets |
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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 device 91% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Strengths
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 625ms 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 6.4/10 (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 |
|---|---|---|---|---|---|
| C | 23 | 9–14 | 39% | 0.01 | |
| A | 19 | 12–7 | 63% | 0.02 | |
| S | 16 | 12–4 | 75% | 0.03 | |
| D | 15 | 2–13 | 13% | 0.00 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| cache_b | — | 1 | 1–0 | 100% | 0.01 |
| — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (13% over 15). 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 18 | 61% | 1.25 | 16.8 |
| Ancient | 15 | 67% | 1.36 | 15.7 |
| Inferno | 10 | 40% | 1.09 | 18.3 |
| Mirage | 9 | 56% | 1.02 | 15.1 |
| Nuke | 7 | 57% | 0.95 | 14.3 |
| Vertigo | 6 | 50% | 1.39 | 26.3 |
| Dust2 | 5 | 20% | 0.89 | 16.0 |
| Train | 2 | 100% | 1.52 | 23.0 |
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.
13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.00 | 25% | 2 Jul → | ||
| 15–15 | -0.01 | 18% | 11 May → | ||
| 13–9 | 0.02 | 14% | 11 May → | ||
| 13–8 | 0.04 | 12% | 11 May → | ||
| 6–13 | 0.02 | 14% | 10 May → | ||
| 8–13 | 0.12 | 30% | 10 May → | ||
| 16–14 | -0.02 | 13% | 9 May → | ||
| 13–9 | 0.01 | 16% | 9 May → | ||
| 10–13 | 0.03 | 23% | 9 May → | ||
| 13–7 | 0.07 | 20% | 9 May → | ||
| 10–13 | -0.01 | 10% | 4 May → | ||
| 5–13 | -0.04 | 16% | 4 May → | ||
| 9–13 | 0.00 | 23% | 4 May → | ||
| 12–1 | 0.15 | 20% | 3 May → | ||
| 13–8 | 0.15 | 9% | 3 May → | ||
| 13–9 | 0.06 | 20% | 3 May → | ||
| 13–8 | -0.00 | 12% | 3 May → | ||
| 13–11 | 0.07 | 24% | 3 May → | ||
| 9–6 | -0.08 | 18% | 3 May → | ||
| 8–13 | 0.06 | 20% | 3 May → | ||
| 13–2 | 0.05 | 12% | 3 May → | ||
| 5–13 | 0.01 | 32% | 1 May → | ||
| 8–13 | 0.04 | 19% | 1 May → | ||
| 13–10 | 0.01 | 17% | 1 May → | ||
| 11–13 | 0.01 | 19% | 29 Apr → | ||
| 13–10 | -0.04 | 21% | 29 Apr → | ||
| 13–11 | -0.06 | 14% | 28 Apr → | ||
| 10–13 | 0.04 | 13% | 27 Apr → | ||
| 16–13 | -0.02 | 18% | 27 Apr → | ||
| 13–8 | -0.04 | 14% | 27 Apr → | ||
| 13–6 | 0.03 | 16% | 27 Apr → | ||
| 7–13 | -0.04 | 10% | 26 Apr → | ||
| 13–10 | 0.06 | 18% | 26 Apr → | ||
| 13–6 | 0.07 | 13% | 26 Apr → | ||
| 7–13 | 0.04 | 15% | 26 Apr → | ||
| 5–13 | -0.03 | 13% | 25 Apr → | ||
| 7–13 | -0.01 | 12% | 25 Apr → | ||
| 13–6 | 0.07 | 25% | 25 Apr → | ||
| 13–9 | -0.02 | 18% | 25 Apr → | ||
| 13–2 | 0.03 | 9% | 25 Apr → | ||
| 13–5 | -0.01 | 16% | 24 Apr → | ||
| 13–11 | -0.02 | 18% | 24 Apr → | ||
| 13–5 | 0.07 | 21% | 24 Apr → | ||
| 15–15 | -0.01 | 15% | 24 Apr → | ||
| 6–13 | -0.00 | 24% | 24 Apr → | ||
| 11–13 | 0.03 | 18% | 24 Apr → | ||
| 8–13 | 0.01 | 16% | 23 Apr → | ||
| 12–16 | -0.02 | 13% | 23 Apr → | ||
| 11–13 | 0.01 | 16% | 23 Apr → | ||
| 13–11 | 0.01 | 13% | 23 Apr → | ||
| 3–13 | -0.07 | 29% | 23 Apr → | ||
| 7–13 | 0.04 | 29% | 22 Apr → | ||
| 13–5 | -0.08 | 21% | 22 Apr → | ||
| 6–13 | -0.00 | 20% | 22 Apr → | ||
| 13–8 | 0.04 | 24% | 21 Apr → | ||
| 13–4 | 0.02 | 11% | 21 Apr → | ||
| 5–13 | 0.01 | 20% | 21 Apr → | ||
| 13–6 | 0.04 | 15% | 21 Apr → | ||
| 13–9 | 0.01 | 13% | 19 Apr → | ||
| 13–11 | 0.01 | 24% | 19 Apr → | ||
| 8–13 | -0.00 | 27% | 19 Apr → | ||
| 13–9 | -0.00 | 18% | 19 Apr → | ||
| 8–13 | -0.01 | 8% | 19 Apr → | ||
| 7–13 | -0.00 | 24% | 19 Apr → | ||
| 14–16 | 0.01 | 20% | 18 Apr → | ||
| 4–13 | -0.04 | 25% | 18 Apr → | ||
| 13–6 | 0.09 | 21% | 18 Apr → | ||
| 10–13 | 0.05 | 19% | 23 Mar → | ||
| 13–9 | 0.03 | 18% | 14 Mar → | ||
| 7–13 | 0.03 | 18% | 14 Mar → | ||
| 13–10 | 0.03 | 19% | 14 Mar → | ||
| 7–13 | -0.04 | 12% | 14 Mar → | ||
| 13–1 | 0.05 | 18% | 14 Mar → | ||
| 2–13 | -0.01 | 18% | 14 Mar → | ||
| 13–11 | 0.06 | 27% | 11 Mar → | ||
| 13–16 | 0.09 | 27% | 8 Mar → | ||
| 16–14 | 0.02 | 22% | 7 Mar → | ||
| 8–13 | 0.01 | 12% | 7 Mar → | ||
| 8–13 | 0.02 | 24% | 7 Mar → | ||
| 10–13 | -0.04 | 24% | 7 Mar → | ||
| 9–1 | 0.01 | 9% | 7 Mar → | ||
| cache_b | 13–4 | 0.01 | 18% | 7 Mar → | |
| 13–9 | -0.04 | 22% | 7 Mar → | ||
| 10–13 | 0.05 | 27% | 7 Mar → | ||
| 13–5 | 0.07 | 19% | 7 Mar → | ||
| 13–9 | -0.01 | 9% | 7 Mar → | ||
| 8–13 | 0.06 | 20% | 6 Mar → | ||
| 16–13 | 0.01 | 14% | 6 Mar → | ||
| 13–11 | 0.04 | 19% | 5 Mar → | ||
| 13–10 | 0.11 | 15% | 5 Mar → | ||
| 12–12 | 0.01 | 11% | 5 Mar → | ||
| 9–13 | -0.08 | 17% | 5 Mar → | ||
| 1–13 | 0.00 | 18% | 5 Mar → | ||
| 3–13 | -0.06 | 17% | 4 Mar → | ||
| 12–12 | 0.04 | 21% | 2 Mar → | ||
| 3–13 | 0.02 | 25% | 1 Mar → | ||
| 7–13 | 0.03 | 17% | 1 Mar → | ||
| 13–8 | 0.09 | 14% | 21 Feb → | ||
| 5–13 | -0.03 | 16% | 21 Feb → | ||
| 13–11 | 0.12 | 11% | 18 Feb → |
Match data via Leetify.