shambleZ — CS2 Stats
76561199182324962[U:1:1222059234]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 48.5% | 52.8% | 4.2% short |
| Shot accuracy | 9.8% | 13.7% | 3.9% short |
| Kill/death ratio | 0.89 | 1.08 | 0.19 short |
| Match win rate | 34.8% | 49.2% | 14.3% short |
This profile sits below the typical Level 10 player on every metric we can compare.
Widest gap: Match win 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: +20pp 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 b1t 90% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: 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 51% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 624ms 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 6.7/10 (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 |
|---|---|---|---|---|---|
| B | 27 | 13–14 | 48% | -0.01 | |
| B | 23 | 11–12 | 48% | 0.01 | |
| A | 22 | 12–10 | 55% | 0.01 | |
| S | 9 | 6–3 | 67% | 0.02 | |
| S | 6 | 4–2 | 67% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 3 | 3–0 | 100% | 0.06 | |
| debris | — | 1 | 1–0 | 100% | 0.29 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (48% over 27). 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 189 | 49% | 1.12 | 16.1 |
| Nuke | 168 | 53% | 1.13 | 15.5 |
| Inferno | 160 | 48% | 1.12 | 16.0 |
| Overpass | 73 | 66% | 1.15 | 16.4 |
| Vertigo | 66 | 62% | 1.32 | 15.5 |
| Anubis | 55 | 53% | 1.13 | 15.3 |
| Train | 52 | 52% | 1.12 | 16.4 |
| Mirage | 45 | 40% | 0.95 | 15.4 |
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 33.146% — 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.
48% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | -0.01 | 30% | 14 Aug → | ||
| 13–5 | 0.04 | 29% | 9 Aug → | ||
| 8–13 | 0.06 | 22% | 9 Aug → | ||
| 11–13 | -0.01 | 16% | 8 Aug → | ||
| 13–5 | 0.05 | 14% | 8 Aug → | ||
| 13–0 | 0.12 | 21% | 8 Aug → | ||
| 16–12 | 0.00 | 23% | 7 Aug → | ||
| 13–6 | 0.04 | 24% | 7 Aug → | ||
| 13–9 | -0.03 | 24% | 7 Aug → | ||
| 13–16 | -0.02 | 17% | 7 Aug → | ||
| 13–10 | 0.00 | 20% | 6 Aug → | ||
| 11–13 | 0.01 | 15% | 6 Aug → | ||
| 11–13 | -0.00 | 18% | 6 Aug → | ||
| 10–13 | -0.02 | 23% | 3 Aug → | ||
| 11–13 | -0.05 | 7% | 3 Aug → | ||
| 13–9 | 0.02 | 18% | 30 Jul → | ||
| 13–10 | -0.00 | 29% | 30 Jul → | ||
| 13–8 | 0.09 | 38% | 28 Jul → | ||
| 13–5 | 0.12 | 18% | 28 Jul → | ||
| 11–13 | 0.04 | 15% | 27 Jul → | ||
| 13–10 | -0.01 | 18% | 27 Jul → | ||
| 13–4 | -0.02 | 19% | 27 Jul → | ||
| 13–3 | 0.05 | 6% | 15 Jul → | ||
| debris | 9–2 | 0.29 | 17% | 15 Jul → | |
| 6–13 | -0.02 | 28% | 14 Jul → | ||
| 13–4 | 0.05 | 18% | 14 Jul → | ||
| 13–7 | -0.05 | 14% | 12 Jul → | ||
| 13–11 | 0.03 | 8% | 6 Jul → | ||
| 11–13 | 0.01 | 13% | 3 Jul → | ||
| 13–10 | 0.00 | 18% | 3 Jul → | ||
| 13–10 | 0.01 | 19% | 3 Jul → | ||
| 4–13 | -0.09 | 23% | 3 Jul → | ||
| 9–13 | -0.05 | 15% | 2 Jul → | ||
| 14–16 | 0.01 | 25% | 29 Jun → | ||
| 13–10 | 0.02 | 16% | 29 Jun → | ||
| 8–13 | -0.02 | 29% | 28 Jun → | ||
| 13–8 | 0.09 | 19% | 28 Jun → | ||
| 10–13 | -0.03 | 16% | 28 Jun → | ||
| 10–13 | -0.01 | 21% | 28 Jun → | ||
| 13–4 | 0.02 | 24% | 26 Jun → | ||
| 6–13 | 0.01 | 18% | 25 Jun → | ||
| 16–12 | -0.02 | 13% | 22 Jun → | ||
| 16–14 | 0.01 | 15% | 21 Jun → | ||
| 10–13 | 0.01 | 22% | 17 Jun → | ||
| 10–13 | 0.07 | 25% | 17 Jun → | ||
| 13–7 | -0.02 | 10% | 15 Jun → | ||
| 13–3 | 0.14 | 17% | 14 Jun → | ||
| 13–11 | 0.02 | 21% | 13 Jun → | ||
| 14–16 | 0.00 | 12% | 12 Jun → | ||
| 9–13 | 0.02 | 22% | 11 Jun → | ||
| 13–10 | -0.04 | 8% | 10 Jun → | ||
| 4–13 | -0.08 | 23% | 10 Jun → | ||
| 13–9 | -0.02 | 20% | 9 Jun → | ||
| 13–11 | 0.02 | 9% | 8 Jun → | ||
| 13–5 | -0.01 | 9% | 7 Jun → | ||
| 3–13 | -0.06 | 19% | 7 Jun → | ||
| 13–4 | 0.13 | 21% | 7 Jun → | ||
| 13–16 | 0.01 | 19% | 4 Jun → | ||
| 4–13 | -0.08 | 20% | 21 May → | ||
| 8–13 | 0.01 | 23% | 18 May → | ||
| 8–13 | -0.03 | 9% | 14 May → | ||
| 13–11 | -0.02 | 14% | 7 May → | ||
| 13–6 | 0.02 | 15% | 7 May → | ||
| 6–13 | -0.03 | 33% | 6 May → | ||
| 12–16 | -0.03 | 19% | 5 May → | ||
| 13–8 | -0.01 | 7% | 5 May → | ||
| 7–13 | 0.02 | 48% | 4 May → | ||
| 13–5 | -0.01 | 24% | 1 May → | ||
| 13–10 | 0.02 | 20% | 30 Apr → | ||
| 13–9 | -0.02 | 22% | 27 Apr → | ||
| 11–13 | 0.05 | 15% | 24 Apr → | ||
| 10–13 | 0.01 | 24% | 24 Apr → | ||
| 13–8 | -0.04 | 11% | 24 Apr → | ||
| 13–11 | 0.05 | 16% | 24 Apr → | ||
| 13–6 | 0.03 | 22% | 15 Apr → | ||
| 10–13 | -0.02 | 31% | 13 Apr → | ||
| 16–13 | 0.01 | 22% | 10 Apr → | ||
| 13–7 | 0.12 | 23% | 5 Apr → | ||
| 10–13 | 0.05 | 26% | 5 Apr → | ||
| 11–13 | 0.05 | 24% | 4 Apr → | ||
| 14–16 | -0.02 | 22% | 4 Apr → | ||
| 13–4 | -0.00 | 29% | 3 Apr → | ||
| 10–13 | 0.00 | 26% | 1 Apr → | ||
| 8–13 | -0.06 | 27% | 1 Apr → | ||
| 16–19 | -0.02 | 6% | 31 Mar → | ||
| 14–16 | -0.01 | 23% | 31 Mar → | ||
| 25–23 | -0.02 | 15% | 19 Mar → | ||
| 13–9 | 0.02 | 24% | 17 Mar → | ||
| 13–16 | 0.01 | 20% | 16 Mar → | ||
| 13–10 | -0.03 | 29% | 12 Mar → | ||
| 13–3 | 0.02 | 17% | 12 Mar → | ||
| 8–13 | -0.02 | 15% | 11 Mar → | ||
| 13–10 | -0.03 | 12% | 11 Mar → | ||
| 13–8 | -0.00 | 20% | 11 Mar → | ||
| 8–13 | 0.00 | 35% | 9 Mar → | ||
| 4–13 | 0.02 | 24% | 4 Mar → | ||
| 16–14 | 0.03 | 18% | 28 Feb → | ||
| 13–9 | 0.09 | 21% | 26 Feb → | ||
| 13–3 | 0.14 | 25% | 26 Feb → | ||
| 8–13 | -0.02 | 23% | 23 Feb → |
Match data via Leetify.