Enver Paşa — CS2 Stats
76561199111869941[U:1:1151604213]
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 51.5% | 47.2% | 49.0% | above |
| Shot accuracy | 8.3% | 12.3% | 13.1% | 4.7% short |
| Kill/death ratio | 1.29 | 1.07 | 1.08 | above |
| Match win rate | 50.3% | 46.3% | 46.9% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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: +30pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafing
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 92% playstyle similarity
Most alike: opening-duel success, 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 587ms 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 7.4/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 39 | 20–19 | 51% | 0.02 |
 mirage | S | 16 | 11–5 | 69% | 0.01 |
 cache | C | 8 | 3–5 | 38% | 0.02 |
 nuke | B | 6 | 3–3 | 50% | -0.05 |
 inferno | S | 6 | 6–0 | 100% | 0.03 |
 vertigo | B | 6 | 3–3 | 50% | 0.08 |
 anubis | D | 5 | 1–4 | 20% | -0.02 |
| office | A | 5 | 3–2 | 60% | 0.05 |
 train | — | 4 | 1–3 | 25% | 0.02 |
 ancient | — | 3 | 1–2 | 33% | 0.01 |
 overpass | — | 1 | 1–0 | 100% | -0.00 |
| alpine | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 71 | 65% | 1.19 | 16.7 |
| Mirage | 61 | 43% | 1.10 | 16.4 |
| Inferno | 34 | 53% | 1.17 | 17.3 |
| Nuke | 17 | 59% | 1.10 | 16.9 |
| Ancient | 13 | 31% | 1.00 | 16.0 |
| Overpass | 12 | 42% | 1.16 | 16.8 |
| Train | 8 | 50% | 0.99 | 15.8 |
| Anubis | 6 | 33% | 0.77 | 13.7 |
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 39.5781% — 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 | |
|---|---|---|---|---|---|
| overpass | 13–2 | -0.00 | 27% | 21 Aug → | |
| mirage | 13–10 | -0.03 | 24% | 17 Aug → | |
| dust2 | 13–9 | -0.04 | 5% | 17 Aug → | |
| mirage | 13–3 | -0.06 | 80% | 16 Aug → | |
| nuke | 13–0 | 0.04 | 46% | 16 Aug → | |
| ancient | 8–13 | -0.04 | 13% | 16 Aug → | |
| nuke | 10–0 | -0.02 | 36% | 16 Aug → | |
| mirage | 13–2 | 0.07 | 20% | 16 Aug → | |
| dust2 | 8–13 | -0.06 | 18% | 16 Aug → | |
| inferno | 13–0 | 0.06 | 21% | 16 Aug → | |
| dust2 | 13–4 | -0.01 | 20% | 16 Aug → | |
| mirage | 13–7 | -0.03 | 32% | 16 Aug → | |
| inferno | 13–1 | 0.08 | 26% | 16 Aug → | |
| dust2 | 10–13 | 0.04 | 37% | 16 Aug → | |
| cache | 11–13 | -0.04 | 35% | 15 Aug → | |
| dust2 | 13–9 | -0.06 | 33% | 15 Aug → | |
| train | 8–13 | 0.02 | 60% | 14 Aug → | |
| dust2 | 1–13 | -0.01 | 34% | 12 Aug → | |
| train | 4–13 | 0.02 | 47% | 12 Aug → | |
| train | 7–3 | 0.09 | 53% | 12 Aug → | |
| train | 0–4 | -0.07 | 40% | 12 Aug → | |
| vertigo | 8–8 | 0.21 | 54% | 6 Aug → | |
| dust2 | 13–11 | 0.21 | 48% | 6 Aug → | |
| nuke | 0–6 | -0.11 | 0% | 4 Aug → | |
| dust2 | 13–1 | -0.03 | 31% | 4 Aug → | |
| dust2 | 13–9 | -0.03 | 38% | 3 Aug → | |
| inferno | 13–4 | 0.01 | 19% | 3 Aug → | |
| mirage | 16–12 | -0.02 | 28% | 3 Aug → | |
| mirage | 13–11 | -0.03 | 37% | 3 Aug → | |
| inferno | 13–9 | 0.03 | 47% | 3 Aug → | |
| dust2 | 15–15 | -0.01 | 32% | 2 Aug → | |
| nuke | 4–13 | -0.06 | 22% | 1 Aug → | |
| dust2 | 13–8 | -0.03 | 32% | 1 Aug → | |
| ancient | 13–1 | 0.07 | 45% | 1 Aug → | |
| inferno | 13–10 | 0.01 | 27% | 1 Aug → | |
| mirage | 13–7 | -0.04 | 31% | 1 Aug → | |
| dust2 | 12–12 | 0.00 | 51% | 1 Aug → | |
| cache | 12–12 | 0.10 | 46% | 1 Aug → | |
| mirage | 5–3 | 0.05 | 29% | 31 Jul → | |
| dust2 | 8–13 | 0.05 | 33% | 31 Jul → | |
| vertigo | 13–6 | 0.08 | 21% | 31 Jul → | |
| dust2 | 13–10 | -0.03 | 26% | 31 Jul → | |
| vertigo | 5–13 | 0.10 | 43% | 31 Jul → | |
| vertigo | 7–13 | 0.05 | 45% | 31 Jul → | |
| ancient | 7–13 | -0.01 | 20% | 28 Jul → | |
| anubis | 13–16 | -0.04 | 50% | 25 Jul → | |
| dust2 | 11–13 | 0.06 | 33% | 25 Jul → | |
| dust2 | 13–11 | 0.04 | 31% | 25 Jul → | |
| dust2 | 4–13 | -0.02 | 44% | 24 Jul → | |
| anubis | 11–13 | -0.02 | 34% | 24 Jul → | |
| anubis | 10–13 | 0.00 | 39% | 24 Jul → | |
| nuke | 8–13 | -0.11 | 29% | 18 Jul → | |
| dust2 | 4–13 | -0.03 | 38% | 18 Jul → | |
| dust2 | 10–13 | -0.01 | 33% | 9 Jul → | |
| office | 5–13 | 0.05 | 50% | 6 Jul → | |
| dust2 | 7–13 | -0.01 | 18% | 6 Jul → | |
| cache | 13–10 | -0.03 | 32% | 6 Jul → | |
| cache | 11–13 | -0.00 | 27% | 6 Jul → | |
| cache | 6–13 | 0.01 | 36% | 6 Jul → | |
| office | 13–7 | 0.05 | 39% | 27 Jun → | |
| dust2 | 13–11 | 0.04 | 30% | 27 Jun → | |
| vertigo | 13–9 | -0.03 | 22% | 5 Jun → | |
| mirage | 3–13 | -0.00 | 36% | 5 Jun → | |
| vertigo | 13–11 | 0.06 | 20% | 5 Jun → | |
| dust2 | 3–13 | 0.04 | 20% | 2 Jun → | |
| anubis | 11–13 | 0.00 | 24% | 2 Jun → | |
| anubis | 13–10 | -0.04 | 16% | 2 Jun → | |
| mirage | 4–10 | 0.07 | 32% | 17 May → | |
| dust2 | 13–4 | 0.06 | 27% | 17 May → | |
| alpine | 4–13 | 0.02 | 32% | 15 May → | |
| nuke | 13–6 | -0.02 | 19% | 15 May → | |
| dust2 | 13–5 | 0.06 | 31% | 15 May → | |
| office | 13–3 | -0.02 | 37% | 15 May → | |
| office | 13–5 | 0.15 | 52% | 15 May → | |
| dust2 | 1–5 | -0.09 | 60% | 10 May → | |
| dust2 | 11–13 | 0.08 | 29% | 10 May → | |
| dust2 | 13–6 | 0.10 | 21% | 10 May → | |
| dust2 | 6–13 | -0.03 | 21% | 9 May → | |
| mirage | 13–5 | 0.01 | 17% | 9 May → | |
| dust2 | 10–13 | -0.08 | 33% | 9 May → | |
| mirage | 13–4 | 0.12 | 28% | 9 May → | |
| mirage | 13–5 | 0.02 | 29% | 9 May → | |
| dust2 | 13–11 | 0.02 | 28% | 9 May → | |
| dust2 | 10–3 | -0.00 | 33% | 9 May → | |
| dust2 | 13–8 | 0.04 | 29% | 9 May → | |
| dust2 | 13–11 | -0.03 | 23% | 9 May → | |
| dust2 | 13–11 | 0.11 | 32% | 9 May → | |
| mirage | 11–13 | 0.08 | 24% | 9 May → | |
| dust2 | 13–8 | 0.10 | 30% | 9 May → | |
| dust2 | 9–13 | -0.00 | 27% | 9 May → | |
| dust2 | 13–4 | 0.14 | 31% | 8 May → | |
| office | 6–13 | 0.03 | 32% | 8 May → | |
| inferno | 13–9 | -0.01 | 23% | 8 May → | |
| cache | 11–13 | -0.02 | 30% | 8 May → | |
| cache | 13–10 | 0.13 | 26% | 8 May → | |
| dust2 | 9–13 | 0.05 | 24% | 7 May → | |
| dust2 | 11–13 | 0.06 | 21% | 7 May → | |
| mirage | 10–13 | -0.03 | 26% | 7 May → | |
| mirage | 12–12 | 0.03 | 24% | 6 May → | |
| cache | 13–7 | -0.00 | 26% | 6 May → |
Match data via Leetify.