dj fart penis (master gooner) — CS2 Stats
US76561198438423621[U:1:478157893]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 45.5% | 48.1% |
| Shot accuracy | 14.8% | 12.9% |
| Kill/death ratio | 1.21 | 1.08 |
| Match win rate | 44.9% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong CT-side openerLimited utility dependence
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 ropz 90% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower aim profile; lower 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
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.
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 59% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 579ms 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 6.1/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 28 | 10–18 | 36% | 0.05 | |
| C | 19 | 7–12 | 37% | 0.05 | |
| C | 16 | 6–10 | 38% | 0.02 | |
| D | 11 | 3–8 | 27% | 0.02 | |
| C | 9 | 4–5 | 44% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| D | 6 | 0–6 | 0% | 0.03 | |
| — | 4 | 1–3 | 25% | 0.00 | |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (0% over 6). 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.
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4534 — below the 0.5 mark we flag
- 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 37.459% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | 0.03 | 32% | 28 Aug → | ||
| 6–13 | 0.11 | 15% | 28 Aug → | ||
| 14–16 | 0.03 | 19% | 24 Aug → | ||
| 3–13 | 0.03 | 31% | 24 Aug → | ||
| 13–5 | 0.01 | 14% | 24 Aug → | ||
| 11–13 | -0.01 | 20% | 24 Aug → | ||
| 7–13 | 0.04 | 22% | 12 Aug → | ||
| 4–13 | 0.09 | 14% | 4 Aug → | ||
| 6–13 | 0.03 | 29% | 30 Jul → | ||
| 11–13 | -0.06 | 12% | 30 Jul → | ||
| 13–11 | 0.02 | 16% | 29 Jul → | ||
| 13–9 | 0.02 | 19% | 28 Jul → | ||
| 7–13 | -0.05 | 5% | 28 Jul → | ||
| 14–16 | -0.00 | 10% | 28 Jul → | ||
| 4–13 | 0.04 | 16% | 28 Jul → | ||
| 13–11 | 0.06 | 14% | 28 Jul → | ||
| 9–13 | -0.05 | 15% | 28 Jul → | ||
| 15–15 | -0.00 | 16% | 24 Jul → | ||
| 13–8 | 0.03 | 21% | 24 Jul → | ||
| 13–7 | 0.25 | 22% | 18 Jul → | ||
| 9–13 | 0.08 | 17% | 18 Jul → | ||
| 16–12 | 0.11 | 18% | 18 Jul → | ||
| 11–13 | 0.02 | 22% | 18 Jul → | ||
| 13–8 | 0.04 | 22% | 18 Jul → | ||
| 3–13 | 0.03 | 19% | 16 Jul → | ||
| 7–13 | 0.02 | 12% | 15 Jul → | ||
| 13–16 | 0.04 | 19% | 15 Jul → | ||
| 13–6 | 0.05 | 10% | 15 Jul → | ||
| 13–9 | 0.02 | 29% | 15 Jul → | ||
| 2–13 | 0.01 | 19% | 13 Jul → | ||
| 6–13 | 0.12 | 18% | 13 Jul → | ||
| 13–16 | 0.08 | 24% | 11 Jul → | ||
| 13–10 | 0.04 | 25% | 11 Jul → | ||
| 13–4 | 0.08 | 29% | 11 Jul → | ||
| 13–11 | 0.00 | 11% | 11 Jul → | ||
| 13–7 | 0.04 | 33% | 9 Jul → | ||
| 13–6 | -0.05 | 25% | 9 Jul → | ||
| 10–13 | -0.03 | 24% | 9 Jul → | ||
| 10–13 | -0.01 | 14% | 7 Jul → | ||
| 5–13 | 0.02 | 15% | 4 Jul → | ||
| 7–13 | 0.04 | 22% | 4 Jul → | ||
| 7–13 | 0.04 | 13% | 1 Jul → | ||
| 10–13 | 0.03 | 22% | 1 Jul → | ||
| 13–6 | 0.16 | 18% | 1 Jul → | ||
| 15–15 | 0.03 | 25% | 1 Jul → | ||
| 6–13 | 0.03 | 23% | 1 Jul → | ||
| 7–13 | 0.00 | 20% | 27 Jun → | ||
| 15–15 | 0.02 | 15% | 27 Jun → | ||
| 13–8 | 0.11 | 13% | 25 Jun → | ||
| 5–13 | 0.05 | 21% | 25 Jun → | ||
| 13–8 | 0.01 | 12% | 23 Jun → | ||
| 6–13 | -0.04 | 19% | 22 Jun → | ||
| 11–13 | 0.02 | 11% | 22 Jun → | ||
| 13–10 | 0.07 | 25% | 20 Jun → | ||
| 13–10 | 0.06 | 21% | 20 Jun → | ||
| 16–12 | 0.01 | 21% | 20 Jun → | ||
| 16–13 | 0.02 | 21% | 20 Jun → | ||
| 8–13 | -0.02 | 24% | 19 Jun → | ||
| 16–12 | 0.07 | 19% | 19 Jun → | ||
| 13–7 | -0.02 | 11% | 19 Jun → | ||
| 13–7 | -0.01 | 22% | 9 Jun → | ||
| 5–13 | 0.00 | 11% | 3 Jun → | ||
| 15–15 | 0.02 | 16% | 30 May → | ||
| 10–13 | 0.05 | 13% | 30 May → | ||
| 16–12 | 0.07 | 20% | 29 May → | ||
| 8–13 | 0.00 | 13% | 27 May → | ||
| 3–13 | 0.06 | 13% | 26 May → | ||
| 9–13 | 0.06 | 28% | 26 May → | ||
| 2–13 | -0.06 | 30% | 26 May → | ||
| 8–13 | 0.01 | 17% | 26 May → | ||
| 10–13 | 0.05 | 10% | 18 May → | ||
| 7–13 | 0.02 | 22% | 17 May → | ||
| 16–14 | 0.02 | 26% | 17 May → | ||
| 7–13 | -0.02 | 23% | 1 May → | ||
| 6–13 | 0.06 | 18% | 28 Apr → | ||
| 8–8 | 0.10 | 16% | 25 Apr → | ||
| 13–10 | 0.02 | 26% | 25 Apr → | ||
| 9–13 | 0.07 | 14% | 22 Apr → | ||
| 1–13 | -0.00 | 38% | 21 Apr → | ||
| 7–13 | 0.10 | 22% | 21 Apr → | ||
| 1–13 | -0.01 | 5% | 16 Apr → | ||
| 13–9 | 0.11 | 25% | 16 Apr → | ||
| 13–10 | 0.06 | 18% | 16 Apr → | ||
| 6–13 | 0.00 | 20% | 14 Apr → | ||
| 12–12 | 0.03 | 27% | 7 Apr → | ||
| 13–3 | -0.01 | 25% | 7 Apr → | ||
| 9–13 | -0.04 | 21% | 7 Apr → | ||
| 1–13 | 0.02 | 20% | 4 Apr → | ||
| 13–8 | 0.08 | 20% | 4 Apr → | ||
| 11–13 | 0.02 | 15% | 2 Apr → | ||
| 10–13 | 0.08 | 20% | 2 Apr → | ||
| 13–4 | 0.19 | 37% | 2 Apr → | ||
| 8–13 | 0.11 | 18% | 1 Apr → | ||
| 8–13 | -0.04 | 15% | 1 Apr → | ||
| 13–11 | 0.06 | 32% | 1 Apr → | ||
| 10–13 | 0.10 | 35% | 1 Apr → | ||
| 2–9 | 0.08 | 28% | 31 Mar → | ||
| 10–13 | -0.01 | 28% | 31 Mar → | ||
| 13–10 | 0.08 | 21% | 31 Mar → | ||
| 11–13 | 0.01 | 15% | 31 Mar → |
Match data via Leetify.