DrtyPenguinz — CS2 Stats
76561199648505733[U:1:1688240005]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 32,146
- Reached: Gold band · Red band · Pink band · Purple band
- Gold band first seen 2026-08-28
- Red band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.05 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong T-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 s1mple 84% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: 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
Strengths
Aim. Aim score of 100 — the mechanical foundation is a clear strength.
T openings. 69% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
CT openings. Opening success drops from 69% on T to 54% on CT — first contacts on the defending side are being lost.
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 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 32 | 32–0 | 100% | 0.12 | |
| S | 27 | 24–3 | 89% | 0.08 | |
| S | 17 | 15–2 | 88% | 0.08 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| — | 3 | 3–0 | 100% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.14 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| — | 2 | 2–0 | 100% | 0.11 | |
| — | 2 | 1–1 | 50% | 0.12 | |
| — | 1 | 0–1 | 0% | 0.08 | |
| italy | — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (55% over 11). 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.
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 | |
|---|---|---|---|---|---|
| 9–4 | 0.08 | 54% | 8 Jul → | ||
| 3–0 | -0.00 | 43% | 8 Jul → | ||
| 13–3 | 0.03 | 58% | 8 Jul → | ||
| 8–3 | 0.01 | 69% | 8 Jul → | ||
| 13–0 | 0.02 | 64% | 8 Jul → | ||
| 13–7 | 0.12 | 51% | 7 Jul → | ||
| 13–9 | 0.04 | 19% | 7 Jul → | ||
| 13–11 | 0.21 | 64% | 7 Jul → | ||
| 13–3 | 0.19 | 78% | 7 Jul → | ||
| 13–0 | 0.04 | 33% | 7 Jul → | ||
| 13–1 | 0.19 | 72% | 7 Jul → | ||
| 13–0 | 0.17 | 96% | 7 Jul → | ||
| 13–0 | 0.10 | 83% | 7 Jul → | ||
| 13–1 | 0.11 | 92% | 7 Jul → | ||
| 13–0 | 0.03 | 63% | 5 Jul → | ||
| 13–1 | 0.22 | 81% | 5 Jul → | ||
| 13–0 | 0.10 | 60% | 5 Jul → | ||
| 13–1 | 0.06 | 46% | 5 Jul → | ||
| 13–1 | 0.11 | 52% | 5 Jul → | ||
| 4–0 | 0.19 | 63% | 5 Jul → | ||
| 13–1 | 0.09 | 67% | 5 Jul → | ||
| 13–0 | 0.20 | 57% | 5 Jul → | ||
| 13–3 | 0.06 | 81% | 5 Jul → | ||
| 13–0 | 0.12 | 54% | 4 Jul → | ||
| 15–15 | 0.13 | 83% | 3 Jul → | ||
| 9–2 | 0.04 | 69% | 3 Jul → | ||
| 13–0 | 0.04 | 38% | 3 Jul → | ||
| 2–0 | 0.24 | 80% | 3 Jul → | ||
| 13–2 | 0.19 | 65% | 3 Jul → | ||
| 13–0 | 0.03 | 50% | 3 Jul → | ||
| 5–0 | 0.14 | 86% | 3 Jul → | ||
| 10–0 | 0.31 | 71% | 3 Jul → | ||
| 3–0 | 0.26 | 71% | 3 Jul → | ||
| 2–0 | 0.29 | 57% | 3 Jul → | ||
| 13–7 | 0.10 | 56% | 2 Jul → | ||
| 13–1 | 0.03 | 80% | 2 Jul → | ||
| 2–0 | 0.06 | 50% | 2 Jul → | ||
| 3–0 | 0.00 | 100% | 2 Jul → | ||
| 13–1 | -0.02 | 69% | 2 Jul → | ||
| 13–0 | 0.05 | 41% | 2 Jul → | ||
| 13–1 | 0.19 | 47% | 2 Jul → | ||
| 5–0 | 0.05 | 62% | 2 Jul → | ||
| 13–1 | 0.18 | 38% | 2 Jul → | ||
| 13–0 | 0.12 | 54% | 2 Jul → | ||
| 13–1 | 0.04 | 74% | 2 Jul → | ||
| 13–0 | 0.11 | 64% | 2 Jul → | ||
| 13–1 | 0.13 | 65% | 2 Jul → | ||
| 13–6 | -0.10 | 26% | 2 Jul → | ||
| 13–1 | 0.06 | 71% | 1 Jul → | ||
| 13–1 | 0.08 | 54% | 1 Jul → | ||
| 13–2 | 0.09 | 67% | 1 Jul → | ||
| 13–3 | 0.15 | 52% | 1 Jul → | ||
| 3–2 | 0.07 | 50% | 1 Jul → | ||
| 13–0 | 0.06 | 67% | 1 Jul → | ||
| 13–11 | 0.14 | 68% | 1 Jul → | ||
| 13–0 | 0.10 | 53% | 1 Jul → | ||
| 13–1 | 0.04 | 58% | 1 Jul → | ||
| 13–0 | 0.13 | 53% | 1 Jul → | ||
| 13–0 | 0.17 | 67% | 1 Jul → | ||
| 13–1 | 0.18 | 83% | 30 Jun → | ||
| 3–0 | 0.18 | 80% | 30 Jun → | ||
| 13–1 | 0.06 | 50% | 30 Jun → | ||
| 6–1 | 0.03 | 73% | 30 Jun → | ||
| 5–0 | 0.18 | 56% | 30 Jun → | ||
| 13–0 | 0.06 | 100% | 30 Jun → | ||
| 13–4 | 0.18 | 77% | 29 Jun → | ||
| 13–3 | 0.13 | 63% | 29 Jun → | ||
| 13–2 | 0.04 | 40% | 29 Jun → | ||
| 13–2 | 0.12 | 64% | 28 Jun → | ||
| 13–2 | 0.05 | 58% | 28 Jun → | ||
| 13–2 | 0.11 | 65% | 28 Jun → | ||
| 7–1 | 0.15 | 80% | 28 Jun → | ||
| 13–1 | 0.11 | 45% | 28 Jun → | ||
| 13–5 | 0.03 | 52% | 28 Jun → | ||
| 13–1 | 0.15 | 74% | 28 Jun → | ||
| 13–2 | -0.03 | 27% | 28 Jun → | ||
| 13–0 | 0.14 | 63% | 28 Jun → | ||
| 13–5 | 0.13 | 69% | 28 Jun → | ||
| 13–1 | 0.08 | 61% | 28 Jun → | ||
| 13–0 | 0.16 | 65% | 28 Jun → | ||
| 13–1 | 0.09 | 58% | 28 Jun → | ||
| 13–2 | 0.04 | 52% | 28 Jun → | ||
| 13–6 | 0.14 | 59% | 28 Jun → | ||
| 13–6 | 0.23 | 75% | 28 Jun → | ||
| 13–8 | 0.15 | 63% | 27 Jun → | ||
| 0–9 | -0.25 | 0% | 11 May → | ||
| 8–8 | -0.02 | 35% | 11 May → | ||
| 9–3 | 0.13 | 29% | 29 Apr → | ||
| 9–4 | 0.05 | 19% | 29 Apr → | ||
| 8–8 | 0.02 | 6% | 28 Apr → | ||
| 1–13 | -0.11 | 10% | 27 Apr → | ||
| italy | 12–3 | 0.08 | 67% | 25 Apr → | |
| 6–9 | -0.10 | 12% | 25 Apr → | ||
| 6–13 | -0.09 | 14% | 25 Apr → | ||
| 9–13 | -0.12 | 22% | 24 Apr → | ||
| 13–11 | 0.01 | 23% | 24 Apr → | ||
| 5–9 | -0.19 | 8% | 24 Apr → | ||
| 2–13 | -0.11 | 30% | 23 Apr → | ||
| 8–8 | -0.00 | 37% | 22 Apr → | ||
| 10–13 | -0.10 | 50% | 19 Apr → |
Match data via Leetify.