heysek — CS2 Stats
CZ76561198422071141[U:1:461805413]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 74.2% | 52.0% |
| Shot accuracy | 19.0% | 13.7% |
| Kill/death ratio | 0.83 | 1.08 |
| Match win rate | 51.0% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective 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 ropz 94% playstyle similarity
Most alike: positioning profile, 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
Strengths
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 58% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 580ms 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 6.8/10 (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 |
|---|---|---|---|---|---|
| S | 35 | 23–12 | 66% | 0.02 | |
| S | 17 | 11–6 | 65% | -0.01 | |
| C | 13 | 5–8 | 38% | -0.02 | |
| S | 10 | 7–3 | 70% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.08 | |
| S | 6 | 4–2 | 67% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (38% over 13). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 435 | 54% | 1.09 | 16.6 |
| Anubis | 207 | 52% | 1.02 | 16.2 |
| Dust2 | 177 | 53% | 0.99 | 15.1 |
| Ancient | 138 | 50% | 1.00 | 16.2 |
| Nuke | 89 | 61% | 1.03 | 15.9 |
| Inferno | 84 | 54% | 1.08 | 16.2 |
| Vertigo | 52 | 56% | 1.04 | 17.1 |
| Overpass | 37 | 38% | 0.89 | 16.5 |
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 35.9475% — 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 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.01 | 28% | 8 Jun → | ||
| 11–13 | -0.04 | 16% | 3 Jun → | ||
| 11–13 | -0.05 | 17% | 3 Jun → | ||
| 8–13 | -0.00 | 22% | 13 May → | ||
| 13–8 | 0.01 | 33% | 5 May → | ||
| 3–13 | -0.03 | 20% | 4 May → | ||
| 13–10 | -0.02 | 15% | 27 Apr → | ||
| 11–13 | -0.03 | 17% | 16 Apr → | ||
| 8–13 | -0.05 | 21% | 9 Apr → | ||
| 13–4 | 0.01 | 22% | 9 Apr → | ||
| 13–10 | 0.07 | 45% | 8 Apr → | ||
| 13–6 | -0.02 | 39% | 6 Apr → | ||
| 4–13 | -0.05 | 17% | 31 Mar → | ||
| 3–13 | -0.07 | 14% | 22 Mar → | ||
| 9–13 | -0.09 | 10% | 17 Mar → | ||
| 13–8 | 0.03 | 30% | 15 Mar → | ||
| 13–10 | 0.07 | 41% | 19 Feb → | ||
| 13–16 | -0.08 | 22% | 17 Feb → | ||
| 13–11 | -0.04 | 26% | 15 Feb → | ||
| 5–13 | -0.03 | 26% | 9 Feb → | ||
| 16–13 | 0.00 | 33% | 7 Feb → | ||
| 13–4 | 0.02 | 21% | 27 Feb → | ||
| 14–16 | 0.00 | 19% | 29 Jan → | ||
| 8–13 | 0.01 | 26% | 27 Oct → | ||
| 13–10 | -0.01 | 20% | 15 Oct → | ||
| 11–13 | 0.05 | 24% | 12 Oct → | ||
| 12–12 | 0.07 | 31% | 12 Oct → | ||
| 8–13 | 0.20 | 25% | 12 Oct → | ||
| 13–11 | 0.03 | 22% | 9 Oct → | ||
| 13–6 | 0.03 | 19% | 6 Oct → | ||
| 13–10 | 0.10 | 27% | 6 Oct → | ||
| 13–4 | 0.14 | 19% | 5 Oct → | ||
| 13–6 | 0.11 | 35% | 5 Oct → | ||
| 13–3 | 0.26 | 26% | 5 Oct → | ||
| 13–8 | 0.14 | 39% | 5 Oct → | ||
| 13–6 | 0.08 | 26% | 5 Oct → | ||
| 11–0 | 0.07 | 38% | 5 Oct → | ||
| 13–6 | -0.02 | 28% | 4 Oct → | ||
| 13–6 | 0.02 | 33% | 2 Oct → | ||
| 13–4 | 0.16 | 38% | 2 Oct → | ||
| 13–5 | 0.01 | 22% | 2 Oct → | ||
| 13–10 | 0.20 | 29% | 30 Sept → | ||
| 13–9 | 0.05 | 64% | 22 Sept → | ||
| 13–2 | 0.09 | 26% | 21 Sept → | ||
| 16–19 | -0.04 | 34% | 10 Sept → | ||
| 10–13 | -0.01 | 32% | 8 Sept → | ||
| 13–6 | -0.03 | 17% | 30 Aug → | ||
| 4–13 | -0.08 | 36% | 25 Aug → | ||
| 13–2 | -0.01 | 47% | 17 Aug → | ||
| 13–4 | 0.02 | 29% | 14 Aug → | ||
| 9–13 | 0.05 | 28% | 9 Aug → | ||
| 9–13 | -0.04 | 26% | 2 Aug → | ||
| 4–13 | -0.12 | 10% | 31 Jul → | ||
| 13–1 | 0.04 | 20% | 30 Jul → | ||
| 13–9 | 0.02 | 35% | 6 Jul → | ||
| 13–4 | -0.01 | 38% | 4 Jul → | ||
| 3–13 | -0.09 | 7% | 10 Mar → | ||
| 13–11 | 0.02 | 28% | 10 Mar → | ||
| 9–13 | -0.02 | 13% | 10 Mar → | ||
| 13–7 | 0.00 | 11% | 10 Mar → | ||
| 13–8 | -0.00 | 21% | 10 Mar → | ||
| 13–4 | -0.01 | 14% | 10 Mar → | ||
| 13–10 | -0.05 | 32% | 10 Mar → | ||
| 13–11 | 0.03 | 19% | 10 Mar → | ||
| 9–13 | -0.05 | 19% | 10 Mar → | ||
| 13–8 | -0.03 | 19% | 10 Mar → | ||
| 13–10 | 0.04 | 15% | 9 Mar → | ||
| 13–5 | -0.05 | 21% | 9 Mar → | ||
| 9–13 | 0.02 | 32% | 9 Mar → | ||
| 11–13 | -0.02 | 29% | 9 Mar → | ||
| 13–11 | -0.03 | 26% | 9 Mar → | ||
| 19–16 | -0.03 | 20% | 9 Mar → | ||
| 14–16 | 0.01 | 43% | 9 Mar → | ||
| 16–12 | 0.02 | 21% | 8 Mar → | ||
| 7–13 | -0.00 | 32% | 8 Mar → | ||
| 2–13 | -0.09 | 24% | 8 Mar → | ||
| 10–13 | -0.04 | 33% | 7 Mar → | ||
| 13–11 | -0.08 | 19% | 7 Mar → | ||
| 13–10 | -0.03 | 16% | 6 Mar → | ||
| 9–13 | -0.02 | 32% | 6 Mar → | ||
| 13–10 | 0.09 | 23% | 6 Mar → | ||
| 13–5 | 0.05 | 21% | 5 Mar → | ||
| 13–7 | -0.04 | 17% | 4 Mar → | ||
| 11–13 | -0.02 | 27% | 4 Mar → | ||
| 11–13 | 0.08 | 35% | 4 Mar → | ||
| 13–5 | 0.06 | 23% | 4 Mar → | ||
| 9–13 | -0.01 | 23% | 4 Mar → | ||
| 13–9 | 0.06 | 27% | 3 Mar → | ||
| 5–13 | -0.00 | 26% | 3 Mar → | ||
| 13–2 | 0.08 | 38% | 3 Mar → | ||
| 12–16 | 0.04 | 33% | 3 Mar → | ||
| 16–14 | -0.01 | 20% | 3 Mar → | ||
| 19–17 | 0.02 | 14% | 3 Mar → | ||
| 1–13 | -0.10 | 27% | 3 Mar → | ||
| 13–11 | -0.01 | 30% | 3 Mar → | ||
| 13–4 | 0.07 | 29% | 3 Mar → | ||
| 13–8 | 0.07 | 29% | 2 Mar → | ||
| 13–11 | 0.07 | 23% | 2 Mar → | ||
| 13–3 | 0.09 | 33% | 2 Mar → | ||
| 13–10 | 0.08 | 33% | 2 Mar → |
Match data via Leetify.
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