KINGCZYK — CS2 Stats
76561198266166570[U:1:305900842]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 97% playstyle similarity
Most alike: opening-fight frequency, positioning 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 94 — the mechanical foundation is a clear strength.
T openings. 63% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 560ms 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 8.5/10 (Elite), 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 |
|---|---|---|---|---|---|
| A | 33 | 20–13 | 61% | 0.05 | |
| A | 22 | 13–9 | 59% | 0.05 | |
| B | 15 | 7–8 | 47% | 0.02 | |
| S | 7 | 6–1 | 86% | 0.05 | |
| S | 7 | 5–2 | 71% | 0.07 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 3 | 3–0 | 100% | 0.16 | |
| dogtown | — | 1 | 1–0 | 100% | 0.20 |
| agency | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 408 | 57% | 1.34 | 19.7 |
| Ancient | 232 | 54% | 1.26 | 18.6 |
| Dust2 | 223 | 57% | 1.40 | 19.4 |
| Anubis | 177 | 54% | 1.31 | 18.8 |
| Inferno | 73 | 56% | 1.36 | 18.5 |
| Nuke | 38 | 47% | 1.12 | 16.6 |
| Overpass | 23 | 52% | 1.13 | 17.9 |
| Vertigo | 10 | 50% | 1.58 | 20.4 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | 0.07 | 22% | 15 Aug → | ||
| 13–6 | 0.05 | 32% | 9 Aug → | ||
| 13–2 | 0.08 | 29% | 9 Aug → | ||
| 13–5 | 0.11 | 30% | 9 Aug → | ||
| 13–9 | 0.13 | 32% | 1 Aug → | ||
| 13–5 | 0.22 | 34% | 1 Aug → | ||
| 13–4 | 0.18 | 27% | 1 Aug → | ||
| 9–13 | -0.05 | 26% | 4 Jul → | ||
| 13–6 | -0.06 | 31% | 30 Jun → | ||
| 13–10 | -0.01 | 39% | 26 Apr → | ||
| 13–8 | 0.05 | 31% | 26 Apr → | ||
| 6–13 | -0.02 | 30% | 13 Apr → | ||
| 5–13 | -0.03 | 28% | 11 Apr → | ||
| 13–9 | 0.06 | 41% | 7 Apr → | ||
| 13–2 | 0.05 | 32% | 7 Apr → | ||
| 13–2 | 0.07 | 34% | 7 Apr → | ||
| 13–8 | 0.08 | 30% | 7 Apr → | ||
| 8–13 | 0.00 | 30% | 22 Mar → | ||
| 5–13 | 0.02 | 27% | 14 Mar → | ||
| 13–10 | -0.01 | 22% | 14 Mar → | ||
| 10–13 | 0.00 | 20% | 7 Mar → | ||
| 13–6 | 0.02 | 25% | 22 Feb → | ||
| 16–12 | 0.10 | 28% | 19 Feb → | ||
| 13–3 | 0.09 | 31% | 17 Feb → | ||
| 13–6 | 0.03 | 35% | 17 Feb → | ||
| 8–13 | 0.14 | 47% | 15 Feb → | ||
| 9–13 | -0.01 | 39% | 8 Feb → | ||
| 13–6 | 0.10 | 39% | 8 Feb → | ||
| 13–11 | 0.06 | 35% | 7 Feb → | ||
| 13–6 | 0.04 | 20% | 29 Jan → | ||
| 13–5 | 0.10 | 42% | 17 Jan → | ||
| 13–5 | 0.12 | 38% | 17 Jan → | ||
| 11–13 | 0.01 | 35% | 14 Jan → | ||
| 13–4 | 0.11 | 26% | 22 Nov → | ||
| 11–13 | 0.06 | 37% | 22 Nov → | ||
| 19–17 | 0.06 | 43% | 22 Nov → | ||
| 12–12 | 0.07 | 37% | 9 Nov → | ||
| 14–15 | 0.03 | 15% | 3 Oct → | ||
| 8–8 | 0.07 | 36% | 14 Sept → | ||
| 13–3 | 0.03 | 27% | 9 Sept → | ||
| 13–9 | 0.09 | 39% | 5 Sept → | ||
| 13–9 | -0.07 | 13% | 4 Sept → | ||
| 13–8 | 0.16 | 39% | 4 Sept → | ||
| 9–5 | 0.07 | 35% | 3 Sept → | ||
| 7–9 | -0.09 | 14% | 3 Sept → | ||
| 5–9 | -0.07 | 27% | 1 Sept → | ||
| dogtown | 9–3 | 0.20 | 39% | 1 Sept → | |
| 13–5 | 0.04 | 36% | 30 Aug → | ||
| 11–13 | 0.09 | 21% | 25 Aug → | ||
| 13–6 | 0.10 | 27% | 13 Aug → | ||
| 15–15 | 0.08 | 34% | 13 Aug → | ||
| 13–10 | 0.09 | 36% | 11 Aug → | ||
| 13–11 | 0.14 | 31% | 11 Aug → | ||
| 16–13 | 0.07 | 41% | 11 Aug → | ||
| 13–5 | 0.11 | 36% | 11 Aug → | ||
| 13–11 | 0.06 | 39% | 11 Aug → | ||
| 11–13 | 0.01 | 36% | 11 Aug → | ||
| 13–8 | 0.12 | 47% | 9 Aug → | ||
| 13–9 | 0.10 | 46% | 9 Aug → | ||
| agency | 13–11 | 0.07 | 30% | 9 Aug → | |
| 13–7 | 0.02 | 30% | 12 Jul → | ||
| 7–13 | 0.00 | 46% | 6 Jul → | ||
| 7–13 | 0.02 | 24% | 28 Jun → | ||
| 10–13 | 0.02 | 46% | 16 Jun → | ||
| 13–3 | 0.10 | 35% | 15 May → | ||
| 13–8 | 0.08 | 24% | 15 May → | ||
| 9–13 | -0.00 | 18% | 14 May → | ||
| 13–7 | 0.04 | 39% | 11 May → | ||
| 13–8 | 0.07 | 32% | 22 Feb → | ||
| 16–14 | 0.04 | 46% | 22 Feb → | ||
| 2–13 | -0.07 | 29% | 20 Feb → | ||
| 13–5 | 0.10 | 41% | 10 Feb → | ||
| 13–10 | 0.05 | 41% | 2 Feb → | ||
| 9–13 | -0.05 | 13% | 1 Feb → | ||
| 13–6 | 0.05 | 27% | 30 Jan → | ||
| 13–3 | 0.05 | 29% | 30 Jan → | ||
| 10–13 | -0.04 | 25% | 29 Jan → | ||
| 6–13 | -0.03 | 18% | 29 Jan → | ||
| 13–5 | 0.08 | 33% | 28 Jan → | ||
| 7–13 | -0.01 | 22% | 28 Jan → | ||
| 13–7 | 0.06 | 37% | 27 Jan → | ||
| 13–8 | 0.08 | 31% | 27 Jan → | ||
| 9–13 | 0.04 | 27% | 26 Jan → | ||
| 10–13 | 0.03 | 30% | 25 Jan → | ||
| 6–13 | 0.02 | 34% | 25 Jan → | ||
| 9–13 | -0.01 | 33% | 23 Jan → | ||
| 13–6 | 0.08 | 44% | 23 Jan → | ||
| 13–7 | 0.03 | 33% | 23 Jan → | ||
| 9–13 | 0.05 | 31% | 22 Jan → | ||
| 13–9 | 0.01 | 16% | 22 Jan → | ||
| 8–13 | -0.00 | 20% | 22 Jan → | ||
| 16–19 | 0.02 | 31% | 19 Jan → | ||
| 13–1 | 0.09 | 30% | 18 Jan → | ||
| 16–12 | 0.09 | 29% | 17 Jan → | ||
| 8–13 | -0.02 | 25% | 11 Jan → | ||
| 11–13 | 0.10 | 33% | 11 Jan → | ||
| 8–13 | -0.02 | 29% | 7 Jan → | ||
| 8–13 | 0.01 | 29% | 6 Jan → | ||
| 13–10 | 0.03 | 28% | 6 Jan → | ||
| 7–13 | -0.03 | 32% | 6 Jan → |
Match data via Leetify.