trashJudeSN — CS2 Stats
ZA76561199016519401[U:1:1056253673]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 | vs Pink band |
|---|---|---|---|
| Headshot rate | 48.6% | 48.1% | meets |
| Shot accuracy | 13.3% | 12.9% | above |
| Kill/death ratio | 0.80 | 1.08 | 0.28 short |
| Match win rate | 26.5% | 46.5% | 20.0% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Pink band 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: -10pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 86% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; lower aim 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
Areas to improve
T-side openings. Opening success drops from 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 655ms 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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 44 | 25–19 | 57% | 0.00 | |
| A | 19 | 11–8 | 58% | -0.02 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| S | 11 | 8–3 | 73% | 0.01 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 4 | 1–3 | 25% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.04 | |
| — | 2 | 2–0 | 100% | 0.00 | |
| — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 5). 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.
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 24.792% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.01 | 2% | 24 Aug → | ||
| 13–10 | -0.02 | 18% | 16 Aug → | ||
| 13–9 | -0.04 | 12% | 16 Aug → | ||
| 13–11 | -0.01 | 31% | 14 Aug → | ||
| 5–13 | -0.08 | 16% | 14 Aug → | ||
| 13–3 | -0.03 | 15% | 14 Aug → | ||
| 2–13 | -0.05 | 35% | 14 Aug → | ||
| 13–6 | 0.08 | 18% | 14 Aug → | ||
| 6–13 | -0.05 | 25% | 14 Aug → | ||
| 10–13 | -0.03 | 25% | 13 Aug → | ||
| 13–6 | -0.02 | 36% | 13 Aug → | ||
| 13–4 | -0.00 | 14% | 13 Aug → | ||
| 13–7 | -0.03 | 19% | 13 Aug → | ||
| 13–11 | -0.02 | 16% | 13 Aug → | ||
| 13–16 | -0.04 | 20% | 13 Aug → | ||
| 13–10 | -0.02 | 16% | 13 Aug → | ||
| 13–5 | 0.00 | 16% | 2 Jun → | ||
| 3–13 | -0.08 | 10% | 2 Jun → | ||
| 5–13 | 0.04 | 19% | 2 Jun → | ||
| 4–13 | -0.03 | 19% | 27 May → | ||
| 13–11 | 0.10 | 17% | 27 May → | ||
| 13–4 | -0.04 | 12% | 27 May → | ||
| 13–5 | 0.03 | 22% | 27 May → | ||
| 13–11 | -0.01 | 26% | 25 May → | ||
| 9–13 | -0.04 | 22% | 25 May → | ||
| 13–2 | -0.03 | 13% | 25 May → | ||
| 13–8 | -0.05 | 18% | 25 May → | ||
| 6–13 | -0.05 | 10% | 24 May → | ||
| 6–13 | 0.08 | 17% | 24 May → | ||
| 13–7 | 0.00 | 28% | 21 May → | ||
| 13–8 | -0.04 | 20% | 21 May → | ||
| 13–11 | 0.00 | 13% | 21 May → | ||
| 11–13 | -0.06 | 22% | 21 May → | ||
| 10–13 | 0.01 | 24% | 20 May → | ||
| 8–13 | -0.03 | 34% | 20 May → | ||
| 13–2 | 0.08 | 31% | 20 May → | ||
| 13–8 | 0.03 | 18% | 19 May → | ||
| 7–13 | -0.03 | 24% | 19 May → | ||
| 13–2 | -0.00 | 29% | 19 May → | ||
| 11–13 | 0.01 | 27% | 19 May → | ||
| 16–13 | 0.03 | 20% | 18 May → | ||
| 5–13 | -0.01 | 18% | 18 May → | ||
| 13–4 | -0.02 | 19% | 18 May → | ||
| 13–5 | 0.03 | 16% | 18 May → | ||
| 12–12 | 0.06 | 30% | 17 May → | ||
| 13–8 | 0.01 | 29% | 17 May → | ||
| 7–13 | -0.06 | 16% | 17 May → | ||
| 3–13 | -0.03 | 25% | 17 May → | ||
| 13–9 | 0.06 | 26% | 17 May → | ||
| 13–11 | 0.01 | 32% | 17 May → | ||
| 12–12 | 0.06 | 12% | 15 May → | ||
| 13–7 | -0.00 | 20% | 15 May → | ||
| 3–13 | -0.03 | 15% | 15 May → | ||
| 4–13 | -0.08 | 20% | 14 May → | ||
| 13–11 | 0.12 | 21% | 14 May → | ||
| 7–13 | 0.02 | 20% | 14 May → | ||
| 11–13 | 0.01 | 18% | 14 May → | ||
| 15–15 | 0.04 | 22% | 4 Apr → | ||
| 13–4 | -0.03 | 19% | 27 Feb → | ||
| 9–13 | -0.06 | 21% | 27 Feb → | ||
| 13–6 | 0.05 | 21% | 27 Feb → | ||
| 9–13 | -0.05 | 11% | 27 Feb → | ||
| 13–5 | -0.01 | 15% | 24 Feb → | ||
| 10–13 | -0.03 | 32% | 24 Feb → | ||
| 5–13 | 0.03 | 22% | 24 Feb → | ||
| 5–13 | 0.01 | 13% | 18 Feb → | ||
| 13–5 | 0.02 | 13% | 17 Feb → | ||
| 7–13 | -0.03 | 9% | 17 Feb → | ||
| 13–4 | 0.04 | 29% | 17 Feb → | ||
| 13–8 | 0.02 | 19% | 16 Feb → | ||
| 13–8 | -0.02 | 33% | 16 Feb → | ||
| 13–3 | 0.05 | 18% | 15 Feb → | ||
| 11–13 | 0.01 | 22% | 15 Feb → | ||
| 10–13 | -0.05 | 20% | 15 Feb → | ||
| 13–8 | -0.02 | 15% | 15 Feb → | ||
| 4–13 | 0.00 | 17% | 15 Feb → | ||
| 13–2 | -0.02 | 27% | 15 Feb → | ||
| 13–5 | -0.01 | 13% | 15 Feb → | ||
| 8–13 | -0.05 | 15% | 14 Feb → | ||
| 6–13 | -0.01 | 5% | 14 Feb → | ||
| 13–11 | -0.03 | 13% | 14 Feb → | ||
| 16–12 | 0.03 | 7% | 14 Feb → | ||
| 8–13 | -0.08 | 15% | 14 Feb → | ||
| 13–9 | 0.05 | 16% | 1 Feb → | ||
| 13–6 | 0.05 | 36% | 1 Feb → | ||
| 13–7 | 0.11 | 26% | 31 Jan → | ||
| 4–13 | 0.01 | 15% | 31 Jan → | ||
| 11–13 | 0.03 | 11% | 31 Jan → | ||
| 13–7 | 0.04 | 6% | 31 Jan → | ||
| 9–13 | -0.04 | 40% | 31 Jan → | ||
| 13–4 | 0.13 | 24% | 30 Jan → | ||
| 15–15 | -0.06 | 25% | 30 Jan → | ||
| 13–6 | -0.00 | 18% | 30 Jan → | ||
| 4–13 | -0.08 | 9% | 30 Jan → | ||
| 13–8 | -0.05 | 15% | 29 Jan → | ||
| 13–4 | 0.03 | 38% | 29 Jan → | ||
| 13–5 | 0.00 | 31% | 29 Jan → | ||
| 13–5 | 0.04 | 17% | 29 Jan → | ||
| 13–2 | 0.07 | 12% | 29 Jan → | ||
| 13–5 | 0.03 | 17% | 28 Jan → |
Match data via Leetify.