Ken999- — CS2 Stats
76561199024592846[U:1:1064327118]
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 49.6% | 42.1% | 42.1% | above |
| Shot accuracy | 0.8% | 12.9% | 12.1% | 11.3% short |
| Kill/death ratio | 1.01 | 1.00 | 0.99 | above |
| Match win rate | 51.6% | 42.9% | 43.9% | above |
This profile matches the typical Level 3 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 3 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: -30pp 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 donk 94% playstyle similarity
Most alike: positioning profile, 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 89 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.3/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 37 | 18–19 | 49% | 0.03 | |
| A | 23 | 14–9 | 61% | 0.04 | |
| B | 14 | 7–7 | 50% | 0.03 | |
| S | 10 | 9–1 | 90% | 0.06 | |
| S | 7 | 6–1 | 86% | 0.06 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.05 | |
| — | 2 | 1–1 | 50% | 0.09 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (49% over 37). Start with the 6 essential Dust 2 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 6 | 50% | 1.38 | 23.5 |
| Mirage | 6 | 33% | 1.42 | 16.8 |
| Inferno | 5 | 0% | 1.41 | 20.6 |
| Overpass | 3 | 33% | 2.20 | 14.3 |
| Vertigo | 3 | 33% | 1.66 | 21.3 |
| Ancient | 2 | 0% | 0.86 | 14.0 |
| Nuke | 1 | 100% | 1.40 | 21.0 |
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.
49% win rate across 37 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.00 | 24% | 9 Aug → | ||
| 15–15 | 0.05 | 31% | 9 Aug → | ||
| 13–11 | 0.08 | 34% | 9 Aug → | ||
| 13–8 | 0.08 | 25% | 8 Aug → | ||
| 8–13 | 0.02 | 19% | 8 Aug → | ||
| 13–2 | 0.15 | 32% | 8 Aug → | ||
| 7–13 | 0.05 | 18% | 4 Aug → | ||
| 13–11 | 0.10 | 21% | 4 Aug → | ||
| 9–13 | -0.00 | 22% | 4 Aug → | ||
| 4–13 | -0.01 | 20% | 4 Aug → | ||
| 13–11 | 0.01 | 16% | 3 Aug → | ||
| 13–9 | 0.08 | 25% | 3 Aug → | ||
| 13–10 | 0.07 | 21% | 3 Aug → | ||
| 13–4 | 0.05 | 17% | 3 Aug → | ||
| 8–13 | -0.03 | 27% | 30 Jul → | ||
| 5–13 | 0.06 | 42% | 27 Jul → | ||
| 9–13 | 0.03 | 33% | 25 Jul → | ||
| 13–9 | -0.01 | 31% | 25 Jul → | ||
| 16–14 | 0.11 | 26% | 24 Jul → | ||
| 13–8 | 0.05 | 29% | 17 Jul → | ||
| 13–11 | 0.08 | 32% | 3 Apr → | ||
| 13–4 | 0.05 | 28% | 3 Apr → | ||
| 7–13 | 0.01 | 24% | 3 Apr → | ||
| 13–5 | 0.09 | 39% | 3 Apr → | ||
| 6–13 | -0.05 | 11% | 3 Apr → | ||
| 13–1 | 0.12 | 38% | 26 Mar → | ||
| 2–13 | 0.01 | 17% | 25 Mar → | ||
| 9–13 | 0.01 | 21% | 25 Mar → | ||
| 6–13 | 0.02 | 32% | 25 Mar → | ||
| 6–13 | -0.04 | 14% | 25 Mar → | ||
| 11–13 | 0.07 | 20% | 25 Mar → | ||
| 15–15 | 0.05 | 23% | 25 Mar → | ||
| 11–13 | 0.00 | 18% | 25 Mar → | ||
| 8–13 | 0.00 | 20% | 25 Mar → | ||
| 1–13 | -0.06 | 25% | 25 Mar → | ||
| 13–11 | 0.05 | 33% | 24 Mar → | ||
| 13–5 | 0.03 | 23% | 24 Mar → | ||
| 13–3 | 0.01 | 12% | 24 Mar → | ||
| 13–10 | 0.01 | 24% | 24 Mar → | ||
| 13–10 | 0.03 | 23% | 24 Mar → | ||
| 13–5 | 0.03 | 36% | 24 Mar → | ||
| 13–9 | 0.03 | 35% | 23 Mar → | ||
| 13–11 | 0.09 | 19% | 23 Mar → | ||
| 13–8 | 0.07 | 21% | 23 Mar → | ||
| 13–7 | -0.01 | 30% | 23 Mar → | ||
| 13–4 | 0.10 | 55% | 23 Mar → | ||
| 13–2 | 0.04 | 24% | 23 Mar → | ||
| 9–13 | 0.00 | 26% | 23 Mar → | ||
| 13–11 | 0.12 | 28% | 23 Mar → | ||
| 6–13 | 0.06 | 38% | 22 Mar → | ||
| 1–3 | 0.09 | 33% | 22 Mar → | ||
| 7–13 | 0.04 | 27% | 22 Mar → | ||
| 14–16 | 0.02 | 20% | 22 Mar → | ||
| 13–10 | 0.12 | 27% | 21 Mar → | ||
| 9–13 | 0.01 | 19% | 21 Mar → | ||
| 13–9 | 0.06 | 27% | 21 Mar → | ||
| 7–13 | -0.03 | 20% | 21 Mar → | ||
| 13–7 | 0.09 | 24% | 21 Mar → | ||
| 15–15 | -0.01 | 25% | 21 Mar → | ||
| 13–9 | 0.04 | 25% | 21 Mar → | ||
| 13–6 | 0.06 | 24% | 21 Mar → | ||
| 13–11 | 0.00 | 17% | 21 Mar → | ||
| 13–5 | 0.07 | 18% | 20 Mar → | ||
| 16–13 | 0.08 | 17% | 20 Mar → | ||
| 13–6 | 0.05 | 28% | 20 Mar → | ||
| 13–10 | 0.10 | 33% | 20 Mar → | ||
| 13–5 | 0.04 | 15% | 20 Mar → | ||
| 13–7 | 0.11 | 23% | 20 Mar → | ||
| 13–7 | 0.03 | 20% | 20 Mar → | ||
| 11–13 | 0.06 | 27% | 20 Mar → | ||
| 8–13 | -0.02 | 17% | 20 Mar → | ||
| 2–13 | -0.10 | 13% | 20 Mar → | ||
| 9–13 | 0.07 | 25% | 20 Mar → | ||
| 9–13 | -0.00 | 20% | 18 Mar → | ||
| 13–9 | 0.02 | 18% | 18 Mar → | ||
| 15–15 | 0.05 | 20% | 18 Mar → | ||
| 1–5 | -0.08 | 0% | 17 Mar → | ||
| 13–4 | 0.01 | 18% | 17 Mar → | ||
| 10–13 | 0.08 | 20% | 16 Mar → | ||
| 13–9 | 0.06 | 27% | 16 Mar → | ||
| 13–11 | 0.06 | 40% | 16 Mar → | ||
| 13–5 | 0.01 | 14% | 16 Mar → | ||
| 13–6 | 0.06 | 27% | 16 Mar → | ||
| 13–8 | 0.04 | 21% | 16 Mar → | ||
| 13–10 | 0.06 | 13% | 15 Mar → | ||
| 13–11 | 0.02 | 31% | 15 Mar → | ||
| 13–6 | -0.00 | 15% | 15 Mar → | ||
| 13–9 | 0.01 | 22% | 15 Mar → | ||
| 13–4 | 0.03 | 42% | 15 Mar → | ||
| 13–11 | 0.01 | 15% | 15 Mar → | ||
| 15–15 | 0.11 | 27% | 15 Mar → | ||
| 10–13 | 0.03 | 31% | 15 Mar → | ||
| 13–10 | 0.09 | 21% | 14 Mar → | ||
| 10–13 | 0.01 | 40% | 14 Mar → | ||
| 9–13 | 0.03 | 13% | 14 Mar → | ||
| 13–10 | 0.05 | 23% | 14 Mar → | ||
| 13–1 | 0.04 | 31% | 14 Mar → | ||
| 13–10 | 0.04 | 29% | 14 Mar → | ||
| 13–5 | 0.06 | 30% | 14 Mar → | ||
| 13–3 | 0.10 | 36% | 14 Mar → |
Match data via Leetify.