purpl — CS2 Stats
76561198336390823[U:1:376125095]1 game ban
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 43.7% | 49.0% | 52.0% | 8.3% short |
| Shot accuracy | 16.4% | 13.1% | 13.7% | above |
| Kill/death ratio | 1.31 | 1.08 | 1.08 | above |
| Match win rate | 41.1% | 46.9% | 48.8% | 7.7% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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 · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes
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 Twistzz 95% playstyle similarity
Most alike: utility contribution, 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 88 — the mechanical foundation is a clear strength.
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 58% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 576ms 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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
| C | 30 | 13–17 | 43% | 0.02 | |
| A | 30 | 17–13 | 57% | 0.03 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| D | 11 | 3–8 | 27% | -0.01 | |
| — | 4 | 3–1 | 75% | 0.06 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 4 | 3–1 | 75% | 0.10 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| warden | — | 1 | 0–1 | 0% | 0.12 |
| sanctum | — | 1 | 0–1 | 0% | -0.09 |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 100 | 47% | 1.25 | 16.9 |
| Dust2 | 53 | 64% | 1.34 | 18.3 |
| Ancient | 42 | 50% | 1.22 | 17.8 |
| Anubis | 33 | 61% | 1.28 | 15.8 |
| Inferno | 24 | 38% | 1.49 | 19.0 |
| Nuke | 17 | 35% | 1.02 | 15.6 |
| Vertigo | 6 | 67% | 1.71 | 18.8 |
| Cache | 5 | 80% | 1.21 | 16.6 |
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 25.7922% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | -0.03 | 21% | 23 Jun → | ||
| warden | 1–13 | 0.12 | 33% | 8 Jun → | |
| 3–4 | 0.03 | 7% | 8 Jun → | ||
| 13–10 | 0.01 | 18% | 28 May → | ||
| 5–13 | 0.02 | 30% | 28 May → | ||
| 13–8 | 0.06 | 18% | 28 May → | ||
| 13–10 | -0.00 | 25% | 25 May → | ||
| 12–16 | 0.06 | 23% | 18 May → | ||
| 9–13 | -0.02 | 27% | 18 May → | ||
| 13–2 | 0.22 | 15% | 16 May → | ||
| 13–9 | 0.06 | 33% | 16 May → | ||
| 16–13 | 0.11 | 16% | 16 May → | ||
| 5–9 | -0.01 | 27% | 11 May → | ||
| 11–13 | -0.04 | 48% | 6 May → | ||
| 13–6 | 0.01 | 20% | 6 May → | ||
| 10–13 | 0.02 | 20% | 5 May → | ||
| 16–12 | 0.16 | 28% | 5 May → | ||
| 13–3 | 0.01 | 20% | 5 May → | ||
| 6–13 | -0.03 | 25% | 4 May → | ||
| 9–13 | -0.06 | 22% | 4 May → | ||
| 13–2 | 0.03 | 25% | 4 May → | ||
| 13–8 | 0.10 | 19% | 4 May → | ||
| 13–8 | 0.05 | 32% | 4 May → | ||
| sanctum | 7–9 | -0.09 | 20% | 4 May → | |
| 13–16 | 0.03 | 24% | 1 May → | ||
| 13–10 | -0.02 | 15% | 29 Apr → | ||
| 7–13 | -0.03 | 35% | 29 Apr → | ||
| 13–6 | 0.06 | 18% | 28 Apr → | ||
| 11–13 | 0.12 | 15% | 28 Apr → | ||
| 0–5 | -0.04 | 0% | 27 Apr → | ||
| 13–11 | 0.05 | 19% | 27 Apr → | ||
| 13–6 | 0.05 | 37% | 27 Apr → | ||
| 10–13 | 0.00 | 24% | 23 Apr → | ||
| 13–11 | 0.02 | 24% | 3 Apr → | ||
| 13–6 | 0.10 | 15% | 27 Mar → | ||
| 13–5 | 0.05 | 9% | 27 Mar → | ||
| 13–6 | 0.03 | 33% | 11 Feb → | ||
| 14–16 | -0.02 | 18% | 8 Feb → | ||
| 16–14 | -0.00 | 31% | 2 Feb → | ||
| 13–10 | 0.08 | 28% | 12 Jan → | ||
| 13–9 | 0.04 | 20% | 6 Jan → | ||
| 3–9 | -0.04 | 17% | 6 Jan → | ||
| 6–13 | 0.03 | 33% | 5 Jan → | ||
| 10–13 | -0.01 | 28% | 29 Dec → | ||
| 13–4 | 0.08 | 50% | 29 Dec → | ||
| 6–13 | -0.00 | 23% | 29 Dec → | ||
| 13–9 | 0.03 | 24% | 20 Dec → | ||
| 4–13 | -0.03 | 22% | 4 Dec → | ||
| 7–13 | 0.04 | 15% | 17 Nov → | ||
| 13–3 | 0.05 | 21% | 6 Nov → | ||
| 3–13 | 0.01 | 16% | 22 Oct → | ||
| 5–13 | -0.03 | 38% | 1 Oct → | ||
| 13–6 | 0.06 | 34% | 10 Sept → | ||
| 10–13 | -0.00 | 16% | 10 Sept → | ||
| 11–13 | 0.02 | 22% | 3 Sept → | ||
| 8–13 | 0.04 | 33% | 27 Aug → | ||
| 13–6 | 0.02 | 18% | 25 Aug → | ||
| 13–8 | 0.07 | 21% | 7 Aug → | ||
| 11–13 | 0.07 | 21% | 4 Aug → | ||
| 13–6 | 0.05 | 22% | 3 Aug → | ||
| 14–16 | 0.00 | 22% | 27 Jul → | ||
| 13–8 | 0.06 | 22% | 22 Jul → | ||
| 9–13 | -0.02 | 29% | 10 Jul → | ||
| 13–11 | -0.02 | 20% | 6 Jul → | ||
| 11–13 | 0.01 | 28% | 6 Jul → | ||
| 13–3 | 0.04 | 16% | 28 Jun → | ||
| 10–13 | -0.01 | 15% | 13 Jun → | ||
| 16–19 | -0.05 | 10% | 13 Jun → | ||
| 12–12 | -0.04 | 20% | 12 Jun → | ||
| 4–1 | 0.15 | 19% | 10 Jun → | ||
| 15–15 | -0.04 | 26% | 8 Jun → | ||
| 12–16 | -0.00 | 16% | 6 Jun → | ||
| 9–13 | 0.01 | 19% | 1 Jun → | ||
| 13–3 | -0.02 | 21% | 1 Jun → | ||
| 13–7 | 0.17 | 26% | 1 Jun → | ||
| 1–13 | -0.03 | 16% | 1 Jun → | ||
| 13–10 | 0.02 | 26% | 31 May → | ||
| 13–4 | 0.09 | 18% | 30 May → | ||
| 13–8 | 0.06 | 12% | 30 May → | ||
| 10–13 | -0.05 | 19% | 30 May → | ||
| 11–13 | -0.00 | 15% | 28 May → | ||
| 3–13 | -0.04 | 19% | 26 May → | ||
| 13–11 | -0.01 | 17% | 21 May → | ||
| 5–13 | -0.02 | 25% | 20 May → | ||
| 12–12 | 0.11 | 27% | 19 May → | ||
| 8–13 | 0.04 | 12% | 18 May → | ||
| 13–11 | 0.06 | 25% | 14 May → | ||
| 13–5 | 0.07 | 25% | 14 May → | ||
| 13–9 | 0.15 | 22% | 14 May → | ||
| 13–8 | -0.01 | 21% | 13 May → | ||
| 7–13 | -0.01 | 18% | 12 May → | ||
| 16–13 | 0.03 | 21% | 11 May → | ||
| 6–13 | -0.04 | 31% | 1 May → | ||
| 7–13 | 0.01 | 23% | 30 Apr → | ||
| 10–13 | 0.01 | 13% | 29 Apr → | ||
| 13–10 | 0.05 | 25% | 27 Apr → | ||
| 13–9 | 0.06 | 33% | 27 Apr → | ||
| 16–14 | 0.04 | 29% | 26 Apr → | ||
| 13–9 | 0.06 | 24% | 23 Apr → | ||
| 13–8 | -0.03 | 25% | 22 Apr → |
Match data via Leetify.