Beetle — CS2 Stats
76561198867915061[U:1:907649333]
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 |
|---|---|---|
| Headshot rate | 65.2% | 52.8% |
| Shot accuracy | 9.1% | 13.7% |
| Kill/death ratio | 1.49 | 1.08 |
| Match win rate | 44.1% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafingStrong 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 93% playstyle similarity
Most alike: aim profile, positioning 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
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 597ms 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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| D | 18 | 6–12 | 33% | 0.08 | |
| S | 10 | 7–3 | 70% | 0.08 | |
| fachwerk | C | 9 | 4–5 | 44% | 0.08 |
| D | 7 | 1–6 | 14% | 0.00 | |
| S | 7 | 7–0 | 100% | 0.06 | |
| boulder | D | 6 | 2–4 | 33% | 0.03 |
| shelter | S | 6 | 5–1 | 83% | 0.11 |
| italy | D | 6 | 1–5 | 17% | 0.01 |
| D | 6 | 2–4 | 33% | 0.04 | |
| office | S | 6 | 4–2 | 67% | 0.07 |
| S | 5 | 4–1 | 80% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.09 | |
| — | 3 | 2–1 | 67% | 0.05 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.09 | |
| debris | — | 1 | 0–1 | 0% | 0.14 |
| warden | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 28 | 50% | 1.24 | 19.1 |
| Mirage | 21 | 71% | 1.59 | 21.6 |
| Dust2 | 21 | 52% | 1.60 | 21.0 |
| Cache | 20 | 50% | 1.38 | 17.6 |
| Nuke | 13 | 62% | 1.66 | 22.1 |
| Ancient | 11 | 64% | 1.69 | 20.4 |
| Inferno | 10 | 60% | 1.36 | 21.0 |
| Vertigo | 9 | 56% | 1.49 | 20.0 |
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
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 23.9308% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–8 | 0.08 | 33% | 12 Aug → | ||
| 8–8 | -0.01 | 43% | 12 Aug → | ||
| boulder | 4–13 | 0.00 | 42% | 12 Aug → | |
| 13–9 | 0.08 | 29% | 8 Aug → | ||
| fachwerk | 13–7 | 0.17 | 22% | 26 Jul → | |
| fachwerk | 9–13 | 0.08 | 29% | 26 Jul → | |
| boulder | 4–13 | 0.04 | 34% | 24 Jul → | |
| debris | 8–8 | 0.14 | 38% | 24 Jul → | |
| shelter | 13–10 | 0.22 | 42% | 22 Jul → | |
| fachwerk | 13–11 | 0.06 | 36% | 22 Jul → | |
| 13–8 | 0.07 | 21% | 21 Jul → | ||
| italy | 12–12 | 0.03 | 25% | 19 Jul → | |
| italy | 6–13 | -0.03 | 30% | 19 Jul → | |
| italy | 5–13 | -0.01 | 50% | 19 Jul → | |
| italy | 3–13 | 0.02 | 37% | 19 Jul → | |
| fachwerk | 13–3 | 0.22 | 44% | 19 Jul → | |
| 13–9 | -0.00 | 24% | 19 Jul → | ||
| shelter | 13–5 | 0.05 | 31% | 18 Jul → | |
| fachwerk | 13–6 | 0.07 | 21% | 18 Jul → | |
| 13–4 | 0.10 | 38% | 18 Jul → | ||
| 6–13 | -0.04 | 19% | 18 Jul → | ||
| 13–1 | 0.11 | 40% | 18 Jul → | ||
| 9–13 | 0.11 | 32% | 18 Jul → | ||
| 13–6 | 0.11 | 27% | 18 Jul → | ||
| 13–11 | 0.01 | 41% | 18 Jul → | ||
| 12–12 | 0.04 | 30% | 18 Jul → | ||
| 6–13 | -0.05 | 27% | 18 Jul → | ||
| 13–11 | -0.02 | 32% | 18 Jul → | ||
| fachwerk | 10–13 | -0.00 | 23% | 18 Jul → | |
| 13–7 | 0.13 | 38% | 18 Jul → | ||
| 13–11 | 0.09 | 35% | 18 Jul → | ||
| 4–13 | -0.05 | 21% | 18 Jul → | ||
| 11–13 | -0.03 | 40% | 16 Jul → | ||
| 13–5 | 0.11 | 32% | 16 Jul → | ||
| fachwerk | 12–12 | 0.03 | 35% | 15 Jul → | |
| boulder | 13–10 | 0.07 | 34% | 15 Jul → | |
| shelter | 13–4 | 0.07 | 37% | 15 Jul → | |
| shelter | 2–0 | 0.08 | 100% | 15 Jul → | |
| 6–13 | 0.01 | 29% | 15 Jul → | ||
| 13–11 | -0.00 | 34% | 15 Jul → | ||
| office | 10–2 | 0.10 | 52% | 15 Jul → | |
| boulder | 9–13 | 0.01 | 25% | 15 Jul → | |
| shelter | 8–13 | 0.15 | 62% | 14 Jul → | |
| 13–8 | 0.01 | 26% | 12 Jul → | ||
| 8–13 | 0.03 | 34% | 12 Jul → | ||
| 10–13 | 0.11 | 40% | 12 Jul → | ||
| boulder | 8–3 | 0.07 | 36% | 10 Jul → | |
| shelter | 13–9 | 0.11 | 33% | 10 Jul → | |
| fachwerk | 11–13 | 0.08 | 39% | 10 Jul → | |
| fachwerk | 7–13 | -0.02 | 50% | 9 Jul → | |
| boulder | 4–13 | -0.03 | 45% | 9 Jul → | |
| 8–13 | 0.11 | 29% | 8 Jul → | ||
| 13–7 | 0.13 | 31% | 8 Jul → | ||
| 13–10 | 0.08 | 42% | 7 Jul → | ||
| 9–13 | 0.06 | 31% | 7 Jul → | ||
| 6–13 | 0.04 | 45% | 5 Jul → | ||
| office | 9–13 | 0.17 | 22% | 4 Jul → | |
| 13–8 | 0.11 | 26% | 4 Jul → | ||
| 13–5 | 0.04 | 25% | 4 Jul → | ||
| 13–9 | 0.02 | 23% | 3 Jul → | ||
| 13–5 | 0.10 | 33% | 3 Jul → | ||
| office | 11–13 | 0.01 | 22% | 3 Jul → | |
| office | 13–5 | 0.06 | 34% | 2 Jul → | |
| 4–13 | -0.07 | 20% | 2 Jul → | ||
| 12–12 | 0.08 | 33% | 1 Jul → | ||
| 9–13 | 0.16 | 30% | 1 Jul → | ||
| 11–13 | -0.02 | 36% | 1 Jul → | ||
| 3–13 | 0.06 | 41% | 1 Jul → | ||
| warden | 13–8 | 0.05 | 43% | 30 Jun → | |
| 13–2 | 0.06 | 24% | 27 Jun → | ||
| 5–13 | 0.08 | 20% | 27 Jun → | ||
| 9–1 | 0.09 | 33% | 27 Jun → | ||
| 9–13 | -0.00 | 27% | 27 Jun → | ||
| 3–13 | -0.00 | 30% | 26 Jun → | ||
| 13–7 | -0.02 | 19% | 26 Jun → | ||
| 12–12 | 0.27 | 24% | 24 Jun → | ||
| 11–3 | 0.08 | 28% | 23 Jun → | ||
| 8–13 | 0.05 | 51% | 22 Jun → | ||
| 11–13 | 0.01 | 28% | 22 Jun → | ||
| 7–1 | 0.03 | 33% | 22 Jun → | ||
| 13–5 | 0.10 | 43% | 22 Jun → | ||
| italy | 8–13 | -0.03 | 33% | 22 Jun → | |
| 13–7 | 0.17 | 40% | 22 Jun → | ||
| 9–13 | 0.10 | 39% | 21 Jun → | ||
| office | 13–6 | 0.03 | 49% | 21 Jun → | |
| 13–10 | 0.03 | 29% | 20 Jun → | ||
| italy | 13–11 | 0.06 | 29% | 20 Jun → | |
| 10–13 | -0.04 | 13% | 20 Jun → | ||
| 13–7 | 0.03 | 38% | 20 Jun → | ||
| 9–13 | 0.05 | 15% | 19 Jun → | ||
| 13–8 | 0.03 | 33% | 19 Jun → | ||
| 0–13 | -0.08 | 11% | 19 Jun → | ||
| office | 13–6 | 0.05 | 41% | 19 Jun → | |
| 8–8 | 0.04 | 27% | 19 Jun → | ||
| 13–8 | 0.09 | 29% | 19 Jun → | ||
| 13–10 | 0.09 | 36% | 19 Jun → | ||
| 3–13 | 0.11 | 28% | 19 Jun → | ||
| 9–13 | 0.10 | 29% | 19 Jun → | ||
| 9–2 | 0.07 | 61% | 18 Jun → | ||
| 13–7 | 0.22 | 43% | 18 Jun → |
Match data via Leetify.