ExtaZzZ — CS2 Stats
RU76561198871711357[U:1:911445629]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 |
|---|---|---|
| Headshot rate | 52.6% | 51.9% |
| Shot accuracy | 12.5% | 13.7% |
| Kill/death ratio | 0.85 | 1.08 |
| Match win rate | 48.3% | 48.7% |
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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.
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 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Positioning. Positioning trails aim by 31 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. 607ms 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 5.7/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 26 | 14–12 | 54% | 0.02 | |
| A | 22 | 12–10 | 55% | 0.02 | |
| S | 15 | 10–5 | 67% | -0.01 | |
| A | 12 | 7–5 | 58% | 0.03 | |
| S | 10 | 8–2 | 80% | 0.00 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| S | 7 | 6–1 | 86% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 112 | 53% | 1.18 | 17.5 |
| Dust2 | 99 | 56% | 1.15 | 17.1 |
| Mirage | 67 | 46% | 1.06 | 15.6 |
| Anubis | 57 | 61% | 1.20 | 17.2 |
| Inferno | 42 | 52% | 1.10 | 16.7 |
| Nuke | 38 | 63% | 1.28 | 18.1 |
| Overpass | 15 | 47% | 1.15 | 17.0 |
| Train | 3 | 67% | 0.70 | 10.7 |
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 29.6534% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.00 | 15% | 5 Jul → | ||
| 9–13 | -0.02 | 25% | 5 Jul → | ||
| 0–2 | -0.01 | 100% | 5 Jul → | ||
| 2–13 | -0.04 | 16% | 4 Jul → | ||
| 11–13 | -0.06 | 28% | 4 Jul → | ||
| 13–10 | -0.04 | 18% | 26 Jun → | ||
| 2–13 | -0.05 | 19% | 24 Jun → | ||
| 13–1 | 0.02 | 18% | 22 Jun → | ||
| 9–13 | -0.11 | 20% | 22 Jun → | ||
| 13–0 | 0.04 | 33% | 22 Jun → | ||
| 6–13 | -0.01 | 31% | 22 Jun → | ||
| 13–4 | 0.05 | 24% | 21 Jun → | ||
| 13–6 | -0.05 | 25% | 21 Jun → | ||
| 13–11 | 0.01 | 26% | 21 Jun → | ||
| 16–12 | 0.06 | 21% | 21 Jun → | ||
| 10–13 | -0.02 | 23% | 21 Jun → | ||
| 10–13 | 0.07 | 22% | 21 Jun → | ||
| 8–13 | -0.07 | 19% | 20 Jun → | ||
| 13–11 | -0.04 | 44% | 14 Jun → | ||
| 13–8 | -0.00 | 39% | 7 Jun → | ||
| 16–13 | -0.00 | 33% | 31 May → | ||
| 5–13 | -0.09 | 36% | 23 May → | ||
| 8–13 | 0.01 | 26% | 23 May → | ||
| 5–13 | -0.07 | 35% | 23 May → | ||
| 4–13 | -0.06 | 25% | 17 May → | ||
| 13–3 | 0.05 | 20% | 10 May → | ||
| 13–11 | 0.02 | 29% | 10 May → | ||
| 13–11 | 0.01 | 22% | 3 May → | ||
| 13–3 | 0.12 | 29% | 3 May → | ||
| 7–13 | -0.06 | 26% | 2 May → | ||
| 13–8 | 0.04 | 24% | 1 May → | ||
| 9–13 | -0.02 | 24% | 1 May → | ||
| 13–1 | -0.02 | 31% | 1 May → | ||
| 13–11 | 0.02 | 33% | 1 May → | ||
| 13–0 | 0.01 | 33% | 27 Apr → | ||
| 13–8 | 0.03 | 28% | 27 Apr → | ||
| 16–14 | -0.01 | 30% | 27 Apr → | ||
| 13–5 | 0.05 | 16% | 27 Apr → | ||
| 13–7 | 0.08 | 26% | 26 Apr → | ||
| 11–13 | 0.02 | 21% | 26 Apr → | ||
| 1–7 | -0.08 | 20% | 26 Apr → | ||
| 9–13 | -0.02 | 25% | 26 Apr → | ||
| 13–9 | 0.09 | 23% | 24 Apr → | ||
| 8–13 | -0.06 | 25% | 24 Apr → | ||
| 13–5 | 0.03 | 46% | 21 Apr → | ||
| 13–10 | 0.07 | 38% | 21 Apr → | ||
| 13–10 | 0.03 | 40% | 20 Apr → | ||
| 13–4 | -0.02 | 35% | 20 Apr → | ||
| 13–11 | 0.07 | 32% | 19 Apr → | ||
| 13–11 | -0.02 | 17% | 18 Apr → | ||
| 10–13 | -0.00 | 18% | 18 Apr → | ||
| 13–5 | 0.04 | 11% | 18 Apr → | ||
| 13–7 | 0.07 | 47% | 17 Apr → | ||
| 13–11 | 0.01 | 25% | 17 Apr → | ||
| 13–11 | 0.04 | 36% | 17 Apr → | ||
| 11–13 | 0.04 | 18% | 17 Apr → | ||
| 6–13 | -0.07 | 29% | 17 Apr → | ||
| 13–9 | -0.02 | 25% | 17 Apr → | ||
| 13–5 | -0.02 | 29% | 17 Apr → | ||
| 13–4 | 0.11 | 25% | 17 Apr → | ||
| 13–6 | 0.12 | 22% | 12 Apr → | ||
| 11–13 | 0.00 | 33% | 10 Apr → | ||
| 9–13 | 0.03 | 27% | 10 Apr → | ||
| 1–13 | -0.02 | 33% | 10 Apr → | ||
| 13–3 | 0.04 | 28% | 10 Apr → | ||
| 10–13 | 0.04 | 26% | 9 Apr → | ||
| 13–4 | -0.02 | 16% | 9 Apr → | ||
| 10–13 | 0.04 | 34% | 7 Apr → | ||
| 13–11 | 0.07 | 24% | 7 Apr → | ||
| 15–15 | 0.01 | 24% | 7 Apr → | ||
| 9–13 | -0.07 | 10% | 7 Apr → | ||
| 13–16 | 0.05 | 23% | 5 Apr → | ||
| 6–13 | 0.04 | 37% | 5 Apr → | ||
| 10–13 | -0.02 | 20% | 5 Apr → | ||
| 13–11 | -0.01 | 25% | 5 Apr → | ||
| 13–11 | 0.08 | 34% | 4 Apr → | ||
| 13–9 | 0.05 | 26% | 4 Apr → | ||
| 13–11 | 0.04 | 43% | 4 Apr → | ||
| 13–6 | 0.01 | 35% | 4 Apr → | ||
| 13–9 | -0.01 | 16% | 22 Mar → | ||
| 13–10 | 0.04 | 35% | 22 Mar → | ||
| 13–10 | 0.10 | 24% | 21 Mar → | ||
| 11–13 | 0.06 | 25% | 21 Mar → | ||
| 13–7 | 0.07 | 29% | 21 Mar → | ||
| 14–16 | 0.01 | 22% | 31 Jan → | ||
| 13–9 | 0.14 | 20% | 31 Jan → | ||
| 7–13 | 0.09 | 31% | 30 Jan → | ||
| 5–13 | 0.06 | 21% | 30 Jan → | ||
| 16–13 | -0.01 | 38% | 19 Jan → | ||
| 16–12 | 0.08 | 22% | 18 Jan → | ||
| 13–11 | 0.07 | 25% | 18 Jan → | ||
| 13–7 | -0.02 | 31% | 18 Jan → | ||
| 13–10 | 0.04 | 26% | 18 Jan → | ||
| 10–5 | -0.09 | 21% | 18 Jan → | ||
| 2–13 | -0.05 | 29% | 17 Jan → | ||
| 8–13 | 0.05 | 26% | 17 Jan → | ||
| 13–9 | -0.00 | 27% | 17 Jan → | ||
| 13–3 | 0.15 | 31% | 17 Jan → | ||
| 13–8 | 0.06 | 25% | 17 Jan → | ||
| 13–11 | 0.03 | 23% | 17 Jan → |
Match data via Leetify.