[6ix]JJ2TrappyXx_Y'Herd-fonem — CS2 Stats
76561198322343811[U:1:362078083]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 43.5% | 52.0% |
| Shot accuracy | 17.7% | 13.7% |
| Kill/death ratio | 1.05 | 1.08 |
| Match win rate | 49.3% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong 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 s1mple 97% playstyle similarity
Most alike: opening-fight frequency, 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 95 — the mechanical foundation is a clear strength.
CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
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 71% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 556ms 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 8.3/10 (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 |
|---|---|---|---|---|---|
| A | 31 | 19–12 | 61% | 0.04 | |
| S | 24 | 18–6 | 75% | 0.03 | |
| S | 11 | 9–2 | 82% | 0.05 | |
| S | 9 | 6–3 | 67% | 0.05 | |
| S | 8 | 6–2 | 75% | 0.07 | |
| A | 5 | 3–2 | 60% | 0.07 | |
| — | 4 | 4–0 | 100% | 0.07 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| — | 2 | 0–2 | 0% | 0.03 | |
| office | — | 1 | 0–1 | 0% | 0.14 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (60% over 5). Start with the 6 essential Overpass 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 162 | 59% | 1.36 | 17.6 |
| Anubis | 119 | 61% | 1.29 | 17.6 |
| Ancient | 114 | 50% | 1.37 | 17.9 |
| Vertigo | 61 | 46% | 1.20 | 16.7 |
| Nuke | 23 | 61% | 1.36 | 18.8 |
| Overpass | 23 | 43% | 1.23 | 17.9 |
| Dust2 | 14 | 43% | 1.01 | 14.5 |
| Inferno | 3 | 0% | 0.90 | 14.3 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–4 | -0.05 | 50% | 4 Aug → | ||
| 5–3 | 0.01 | 23% | 26 Jul → | ||
| 13–11 | 0.06 | 22% | 26 Jul → | ||
| 4–3 | 0.07 | 11% | 25 Jul → | ||
| 9–13 | 0.15 | 29% | 25 Jul → | ||
| 13–8 | 0.08 | 35% | 24 Jul → | ||
| 3–13 | -0.21 | 33% | 23 Jul → | ||
| 13–7 | 0.05 | 24% | 23 Jul → | ||
| 13–5 | 0.07 | 61% | 22 Jul → | ||
| 13–7 | 0.08 | 32% | 20 Jul → | ||
| 13–9 | 0.04 | 31% | 20 Jul → | ||
| 16–13 | 0.06 | 24% | 20 Jul → | ||
| 13–7 | 0.14 | 38% | 14 Jul → | ||
| 13–11 | 0.05 | 31% | 14 Jul → | ||
| 13–2 | 0.07 | 24% | 14 Jul → | ||
| 4–13 | -0.01 | 35% | 13 Jul → | ||
| 13–11 | 0.09 | 36% | 13 Jul → | ||
| 16–13 | 0.02 | 31% | 13 Jul → | ||
| 13–3 | 0.01 | 28% | 12 Jul → | ||
| 0–2 | -0.07 | 0% | 12 Jul → | ||
| 13–2 | 0.07 | 36% | 12 Jul → | ||
| 13–2 | 0.09 | 31% | 12 Jul → | ||
| 6–13 | -0.03 | 36% | 12 Jul → | ||
| 13–2 | 0.11 | 42% | 11 Jul → | ||
| 15–15 | 0.03 | 25% | 11 Jul → | ||
| 1–7 | -0.01 | 80% | 11 Jul → | ||
| 15–15 | 0.02 | 29% | 11 Jul → | ||
| 13–10 | 0.05 | 35% | 11 Jul → | ||
| 13–7 | 0.04 | 32% | 10 Jul → | ||
| 3–13 | -0.01 | 31% | 10 Jul → | ||
| 1–5 | -0.15 | 18% | 7 Jul → | ||
| 8–4 | 0.09 | 31% | 7 Jul → | ||
| 13–8 | -0.00 | 27% | 5 Jul → | ||
| 13–11 | 0.04 | 30% | 2 Jul → | ||
| 13–7 | 0.01 | 32% | 1 Jul → | ||
| 5–9 | 0.03 | 32% | 14 Jun → | ||
| 13–11 | 0.18 | 28% | 29 May → | ||
| 13–11 | 0.04 | 23% | 29 May → | ||
| 13–9 | 0.01 | 25% | 28 May → | ||
| 13–7 | 0.15 | 31% | 28 May → | ||
| office | 8–13 | 0.14 | 33% | 26 May → | |
| 9–4 | 0.04 | 24% | 26 May → | ||
| 9–5 | 0.17 | 29% | 26 May → | ||
| 9–4 | 0.08 | 21% | 26 May → | ||
| 3–13 | 0.04 | 29% | 24 May → | ||
| 13–8 | 0.08 | 44% | 23 May → | ||
| 13–9 | 0.11 | 34% | 22 May → | ||
| 9–13 | 0.08 | 23% | 22 May → | ||
| 9–13 | 0.08 | 26% | 16 May → | ||
| 13–6 | 0.11 | 32% | 16 May → | ||
| 13–8 | 0.03 | 24% | 30 Apr → | ||
| 13–3 | 0.01 | 31% | 30 Apr → | ||
| 7–1 | 0.06 | 36% | 30 Apr → | ||
| 0–2 | -0.01 | 80% | 27 Apr → | ||
| 13–10 | 0.04 | 33% | 27 Apr → | ||
| 13–3 | 0.07 | 38% | 27 Apr → | ||
| 13–7 | 0.03 | 21% | 27 Apr → | ||
| 9–13 | 0.06 | 17% | 27 Apr → | ||
| 13–7 | -0.01 | 26% | 27 Apr → | ||
| 13–9 | 0.04 | 29% | 26 Apr → | ||
| 13–2 | 0.05 | 29% | 26 Apr → | ||
| 7–13 | -0.01 | 27% | 25 Apr → | ||
| 13–4 | 0.02 | 27% | 25 Apr → | ||
| 13–8 | 0.08 | 25% | 24 Apr → | ||
| 13–7 | 0.04 | 35% | 24 Apr → | ||
| 13–3 | 0.02 | 50% | 24 Apr → | ||
| 5–6 | -0.06 | 50% | 23 Apr → | ||
| 5–13 | 0.03 | 36% | 23 Apr → | ||
| 13–2 | 0.08 | 30% | 23 Apr → | ||
| 8–8 | 0.06 | 32% | 23 Apr → | ||
| 13–11 | -0.00 | 25% | 23 Apr → | ||
| 13–2 | 0.09 | 38% | 23 Apr → | ||
| 13–3 | -0.05 | 12% | 23 Apr → | ||
| 13–5 | 0.04 | 35% | 23 Apr → | ||
| 4–13 | -0.05 | 28% | 23 Apr → | ||
| 13–3 | 0.15 | 33% | 22 Apr → | ||
| 13–5 | 0.11 | 23% | 22 Apr → | ||
| 2–10 | 0.04 | 28% | 22 Apr → | ||
| 13–4 | 0.03 | 25% | 22 Apr → | ||
| 13–1 | 0.08 | 26% | 22 Apr → | ||
| 16–13 | 0.01 | 28% | 22 Apr → | ||
| 13–8 | 0.04 | 30% | 22 Apr → | ||
| 13–6 | 0.04 | 30% | 22 Apr → | ||
| 13–5 | 0.02 | 20% | 21 Apr → | ||
| 9–5 | 0.03 | 19% | 20 Apr → | ||
| 13–3 | 0.10 | 25% | 20 Apr → | ||
| 13–10 | 0.01 | 18% | 20 Apr → | ||
| 6–13 | -0.04 | 41% | 19 Apr → | ||
| 13–11 | -0.00 | 20% | 19 Apr → | ||
| 11–13 | 0.01 | 13% | 19 Apr → | ||
| 13–5 | 0.10 | 16% | 19 Apr → | ||
| 6–13 | 0.06 | 29% | 19 Apr → | ||
| 15–15 | 0.02 | 25% | 18 Apr → | ||
| 7–13 | 0.05 | 23% | 18 Apr → | ||
| 13–7 | -0.03 | 17% | 18 Apr → | ||
| 13–9 | 0.05 | 13% | 18 Apr → | ||
| 13–8 | 0.07 | 23% | 18 Apr → | ||
| 13–3 | 0.12 | 24% | 18 Apr → | ||
| 2–7 | -0.05 | 14% | 18 Apr → | ||
| 12–16 | 0.00 | 26% | 18 Apr → |
Match data via Leetify.