qzmambic — CS2 Stats
76561198217559720[U:1:257293992]✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 58.7% | 42.5% | 44.2% | above |
| Shot accuracy | 8.3% | 10.9% | 11.2% | 2.9% short |
| Kill/death ratio | 1.20 | 0.99 | 1.04 | above |
| Match win rate | 42.3% | 44.2% | 45.3% | 3.0% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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 · +0.08 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective 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 b1t 94% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Reaction time. 571ms 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 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 45 | 25–20 | 56% | 0.03 | |
| A | 23 | 13–10 | 57% | 0.03 | |
| A | 8 | 5–3 | 63% | 0.06 | |
| S | 7 | 6–1 | 86% | 0.03 | |
| — | 3 | 1–2 | 33% | 0.05 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| warden | — | 3 | 2–1 | 67% | 0.05 |
| — | 1 | 0–1 | 0% | 0.04 | |
| sanctum | — | 1 | 1–0 | 100% | 0.24 |
| alpine | — | 1 | 0–1 | 0% | -0.04 |
| office | — | 1 | 0–1 | 0% | -0.02 |
| stronghold | — | 1 | 0–1 | 0% | 0.11 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (56% over 45). Start with the 6 essential Dust 2 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 4 | 75% | 1.73 | 18.5 |
| Mirage | 4 | 25% | 1.39 | 19.8 |
| Inferno | 1 | 100% | 7.00 | 14.0 |
| Nuke | 1 | 100% | 1.38 | 18.0 |
| Anubis | 1 | 100% | 1.29 | 31.0 |
| Ancient | 1 | 100% | 1.16 | 22.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.08 | 29% | 11 Jul → | ||
| 3–12 | 0.04 | 35% | 13 May → | ||
| 10–13 | 0.04 | 22% | 8 Apr → | ||
| 13–11 | 0.05 | 47% | 29 Mar → | ||
| 4–13 | 0.06 | 43% | 29 Mar → | ||
| 13–11 | 0.07 | 41% | 29 Mar → | ||
| 13–3 | 0.16 | 37% | 27 Mar → | ||
| 13–3 | 0.25 | 35% | 26 Mar → | ||
| 13–5 | 0.20 | 48% | 23 Mar → | ||
| 13–9 | 0.16 | 25% | 23 Mar → | ||
| 13–4 | 0.11 | 48% | 23 Mar → | ||
| 13–6 | 0.03 | 39% | 20 Mar → | ||
| 5–13 | 0.09 | 61% | 20 Mar → | ||
| 13–6 | -0.09 | 21% | 20 Mar → | ||
| 16–13 | -0.02 | 27% | 20 Mar → | ||
| 13–6 | 0.04 | 14% | 20 Mar → | ||
| 9–13 | -0.01 | 27% | 17 Mar → | ||
| 12–12 | 0.03 | 35% | 17 Mar → | ||
| 4–13 | -0.05 | 31% | 17 Mar → | ||
| 10–13 | 0.01 | 45% | 16 Mar → | ||
| 11–13 | 0.01 | 37% | 11 Mar → | ||
| 13–6 | 0.01 | 29% | 11 Mar → | ||
| 12–12 | 0.01 | 27% | 9 Mar → | ||
| 13–9 | 0.01 | 30% | 9 Mar → | ||
| sanctum | 9–7 | 0.24 | 41% | 5 Mar → | |
| 13–7 | 0.00 | 24% | 3 Mar → | ||
| 11–13 | -0.00 | 22% | 3 Mar → | ||
| 13–2 | 0.07 | 21% | 3 Mar → | ||
| 11–13 | 0.00 | 26% | 3 Mar → | ||
| 13–9 | 0.03 | 26% | 2 Mar → | ||
| 13–11 | 0.00 | 21% | 27 Feb → | ||
| 13–5 | 0.22 | 35% | 25 Feb → | ||
| 9–13 | 0.00 | 20% | 25 Feb → | ||
| 8–13 | -0.05 | 16% | 25 Feb → | ||
| 13–9 | -0.02 | 29% | 25 Feb → | ||
| 13–11 | 0.03 | 34% | 24 Feb → | ||
| 13–3 | 0.09 | 34% | 24 Feb → | ||
| 13–9 | -0.01 | 42% | 24 Feb → | ||
| 16–12 | 0.06 | 22% | 24 Feb → | ||
| 8–13 | -0.02 | 21% | 19 Feb → | ||
| 13–11 | -0.01 | 19% | 17 Feb → | ||
| 13–2 | -0.00 | 21% | 17 Feb → | ||
| 13–8 | -0.01 | 30% | 16 Feb → | ||
| 13–6 | 0.09 | 20% | 15 Feb → | ||
| 13–11 | -0.04 | 47% | 14 Feb → | ||
| 13–7 | -0.02 | 15% | 14 Feb → | ||
| 11–13 | -0.02 | 12% | 14 Feb → | ||
| 4–13 | 0.04 | 30% | 11 Feb → | ||
| 14–16 | 0.02 | 27% | 11 Feb → | ||
| 6–13 | -0.00 | 39% | 11 Feb → | ||
| 13–9 | 0.11 | 24% | 11 Feb → | ||
| 13–1 | 0.14 | 35% | 10 Feb → | ||
| 3–13 | -0.02 | 20% | 10 Feb → | ||
| 13–3 | 0.12 | 22% | 10 Feb → | ||
| 13–5 | 0.09 | 15% | 9 Feb → | ||
| 13–8 | 0.00 | 19% | 9 Feb → | ||
| 13–8 | 0.02 | 24% | 8 Feb → | ||
| 13–10 | 0.02 | 23% | 8 Feb → | ||
| 9–13 | -0.03 | 21% | 7 Feb → | ||
| 4–13 | -0.00 | 27% | 7 Feb → | ||
| 13–5 | 0.06 | 15% | 6 Feb → | ||
| 13–9 | 0.02 | 20% | 6 Feb → | ||
| 13–1 | 0.16 | 38% | 6 Feb → | ||
| 8–13 | 0.01 | 26% | 5 Feb → | ||
| 13–4 | 0.08 | 15% | 5 Feb → | ||
| 11–13 | 0.02 | 31% | 5 Feb → | ||
| 13–4 | 0.07 | 36% | 3 Feb → | ||
| 13–10 | 0.02 | 23% | 3 Feb → | ||
| 13–7 | 0.07 | 34% | 3 Feb → | ||
| 10–13 | 0.00 | 18% | 3 Feb → | ||
| warden | 13–2 | 0.07 | 30% | 2 Feb → | |
| warden | 13–11 | 0.07 | 20% | 2 Feb → | |
| 7–13 | -0.03 | 50% | 1 Feb → | ||
| warden | 7–13 | 0.01 | 22% | 1 Feb → | |
| alpine | 4–13 | -0.04 | 10% | 28 Jan → | |
| 6–13 | 0.02 | 29% | 28 Jan → | ||
| 9–13 | 0.03 | 17% | 28 Jan → | ||
| office | 10–11 | -0.02 | 29% | 27 Jan → | |
| 8–13 | -0.02 | 21% | 26 Jan → | ||
| 4–13 | -0.07 | 36% | 26 Jan → | ||
| 6–13 | -0.06 | 25% | 22 Jan → | ||
| 13–9 | 0.00 | 41% | 22 Jan → | ||
| stronghold | 12–12 | 0.11 | 27% | 22 Jan → | |
| 13–5 | -0.00 | 26% | 21 Jan → | ||
| 12–12 | 0.00 | 26% | 21 Jan → | ||
| 13–6 | 0.03 | 31% | 19 Jan → | ||
| 13–5 | 0.04 | 27% | 19 Jan → | ||
| 13–6 | 0.05 | 25% | 19 Jan → | ||
| 12–12 | 0.05 | 19% | 18 Jan → | ||
| 12–12 | -0.01 | 26% | 18 Jan → | ||
| 7–13 | -0.02 | 37% | 18 Jan → | ||
| 2–4 | 0.03 | 24% | 18 Jan → | ||
| 15–15 | 0.01 | 17% | 17 Jan → | ||
| 12–12 | 0.03 | 39% | 17 Jan → | ||
| 13–10 | 0.12 | 21% | 15 Jan → | ||
| 13–10 | 0.07 | 43% | 15 Jan → | ||
| 13–10 | 0.01 | 33% | 15 Jan → | ||
| 16–12 | 0.01 | 31% | 15 Jan → | ||
| 13–6 | 0.09 | 17% | 14 Jan → | ||
| 13–10 | 0.15 | 18% | 14 Jan → |
Match data via Leetify.