pulvrzd — CS2 Stats
76561199032448726[U:1:1072182998]
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 | 47.5% | 52.8% | 5.3% short |
| Shot accuracy | 3.4% | 13.7% | 10.3% short |
| Kill/death ratio | 1.20 | 1.08 | above |
| Match win rate | 53.7% | 49.2% | above |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: -50pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimer
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: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; lower 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
Strengths
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.
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 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 14–13 | 52% | 0.01 | |
| S | 16 | 12–4 | 75% | 0.03 | |
| D | 16 | 2–14 | 13% | 0.01 | |
| S | 12 | 9–3 | 75% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.04 | |
| — | 2 | 1–1 | 50% | 0.05 | |
| — | 1 | 1–0 | 100% | -0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (13% over 16). 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 131 | 49% | 1.15 | 16.0 |
| Ancient | 82 | 51% | 1.24 | 15.8 |
| Dust2 | 62 | 39% | 1.11 | 15.9 |
| Inferno | 52 | 42% | 1.13 | 15.8 |
| Overpass | 41 | 56% | 1.23 | 16.1 |
| Anubis | 30 | 53% | 1.13 | 15.0 |
| Nuke | 30 | 40% | 1.07 | 15.2 |
| Train | 17 | 53% | 1.27 | 16.4 |
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 29.365% — 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.
13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.03 | 18% | 27 Aug → | ||
| 2–13 | -0.12 | 16% | 23 Aug → | ||
| 5–13 | 0.02 | 28% | 23 Aug → | ||
| 15–15 | -0.06 | 25% | 23 Aug → | ||
| 7–13 | 0.00 | 17% | 23 Aug → | ||
| 13–3 | 0.06 | 25% | 23 Aug → | ||
| 4–13 | 0.02 | 18% | 23 Aug → | ||
| 13–3 | 0.09 | 26% | 23 Aug → | ||
| 8–13 | 0.02 | 24% | 20 Aug → | ||
| 10–13 | 0.01 | 31% | 20 Aug → | ||
| 13–11 | -0.02 | 25% | 20 Aug → | ||
| 11–13 | 0.12 | 32% | 20 Aug → | ||
| 13–5 | 0.01 | 13% | 20 Aug → | ||
| 11–13 | -0.02 | 16% | 16 Aug → | ||
| 13–11 | -0.05 | 21% | 16 Aug → | ||
| 11–13 | 0.01 | 36% | 16 Aug → | ||
| 22–20 | 0.02 | 14% | 15 Aug → | ||
| 13–9 | 0.07 | 10% | 15 Aug → | ||
| 13–11 | 0.05 | 21% | 15 Aug → | ||
| 13–6 | 0.06 | 13% | 14 Aug → | ||
| 13–2 | 0.16 | 18% | 11 Aug → | ||
| 9–13 | 0.05 | 24% | 11 Aug → | ||
| 9–13 | 0.06 | 21% | 9 Aug → | ||
| 13–6 | -0.06 | 9% | 9 Aug → | ||
| 13–4 | 0.04 | 16% | 9 Aug → | ||
| 13–2 | 0.04 | 17% | 9 Aug → | ||
| 10–13 | 0.11 | 15% | 8 Aug → | ||
| 9–13 | 0.02 | 16% | 8 Aug → | ||
| 1–13 | -0.03 | 15% | 6 Aug → | ||
| 13–6 | 0.05 | 10% | 6 Aug → | ||
| 13–7 | 0.02 | 15% | 6 Aug → | ||
| 0–13 | -0.05 | 15% | 4 Aug → | ||
| 13–11 | 0.02 | 15% | 4 Aug → | ||
| 5–13 | 0.03 | 14% | 3 Aug → | ||
| 6–13 | -0.07 | 19% | 3 Aug → | ||
| 14–16 | 0.02 | 19% | 2 Aug → | ||
| 13–7 | 0.04 | 18% | 2 Aug → | ||
| 6–13 | -0.03 | 12% | 31 Jul → | ||
| 13–4 | 0.07 | 16% | 31 Jul → | ||
| 13–5 | 0.11 | 32% | 30 Jul → | ||
| 13–5 | 0.05 | 25% | 30 Jul → | ||
| 13–3 | 0.03 | 24% | 30 Jul → | ||
| 13–4 | 0.11 | 26% | 28 Jul → | ||
| 13–10 | 0.07 | 17% | 28 Jul → | ||
| 13–16 | 0.00 | 22% | 28 Jul → | ||
| 6–13 | 0.01 | 38% | 28 Jul → | ||
| 8–13 | 0.07 | 13% | 26 Jul → | ||
| 13–10 | 0.04 | 5% | 26 Jul → | ||
| 13–9 | 0.09 | 32% | 26 Jul → | ||
| 13–0 | 0.14 | 17% | 22 Jul → | ||
| 8–13 | 0.03 | 17% | 21 Jul → | ||
| 16–13 | -0.04 | 16% | 21 Jul → | ||
| 11–13 | 0.14 | 14% | 20 Jul → | ||
| 0–13 | -0.05 | 5% | 18 Jul → | ||
| 13–0 | 0.10 | 9% | 18 Jul → | ||
| 11–13 | 0.06 | 19% | 18 Jul → | ||
| 13–3 | 0.13 | 11% | 18 Jul → | ||
| 9–13 | -0.01 | 15% | 17 Jul → | ||
| 13–8 | -0.03 | 13% | 17 Jul → | ||
| 13–8 | 0.03 | 17% | 16 Jul → | ||
| 11–13 | -0.03 | 8% | 16 Jul → | ||
| 13–9 | 0.02 | 12% | 16 Jul → | ||
| 13–4 | 0.03 | 20% | 16 Jul → | ||
| 9–13 | 0.05 | 23% | 15 Jul → | ||
| 13–7 | 0.04 | 21% | 15 Jul → | ||
| 13–7 | 0.09 | 34% | 14 Jul → | ||
| 10–13 | -0.01 | 9% | 14 Jul → | ||
| 10–13 | -0.04 | 8% | 14 Jul → | ||
| 13–6 | -0.04 | 7% | 14 Jul → | ||
| 4–13 | 0.03 | 19% | 12 Jul → | ||
| 10–13 | -0.03 | 9% | 11 Jul → | ||
| 13–2 | 0.12 | 13% | 11 Jul → | ||
| 13–10 | 0.05 | 28% | 11 Jul → | ||
| 13–9 | 0.05 | 12% | 11 Jul → | ||
| 13–8 | 0.05 | 18% | 10 Jul → | ||
| 11–13 | 0.03 | 16% | 10 Jul → | ||
| 13–11 | 0.03 | 18% | 10 Jul → | ||
| 16–14 | -0.04 | 16% | 8 Jul → | ||
| 4–13 | -0.01 | 5% | 8 Jul → | ||
| 11–13 | 0.07 | 11% | 8 Jul → | ||
| 13–4 | 0.03 | 14% | 8 Jul → | ||
| 8–8 | 0.09 | 14% | 6 Jul → | ||
| 13–3 | 0.15 | 4% | 6 Jul → | ||
| 1–13 | -0.10 | 12% | 6 Jul → | ||
| 13–9 | -0.05 | 4% | 5 Jul → | ||
| 13–11 | 0.02 | 12% | 5 Jul → | ||
| 11–13 | -0.01 | 7% | 5 Jul → | ||
| 9–13 | -0.04 | 13% | 5 Jul → | ||
| 7–13 | 0.02 | 12% | 5 Jul → | ||
| 13–8 | 0.09 | 11% | 4 Jul → | ||
| 6–13 | -0.05 | 19% | 4 Jul → | ||
| 13–4 | 0.01 | 24% | 4 Jul → | ||
| 13–9 | 0.01 | 20% | 4 Jul → | ||
| 13–4 | -0.07 | 11% | 4 Jul → | ||
| 3–13 | -0.12 | 10% | 4 Jul → | ||
| 13–11 | 0.02 | 19% | 4 Jul → | ||
| 13–8 | 0.02 | 15% | 4 Jul → | ||
| 13–10 | -0.03 | 38% | 3 Jul → | ||
| 11–13 | -0.03 | 8% | 3 Jul → | ||
| 11–13 | -0.00 | 9% | 3 Jul → |
Match data via Leetify.