Grzyylik — CS2 Stats
76561198218522597[U:1:258256869]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective 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 sh1ro 98% 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 96 — the mechanical foundation is a clear strength.
Flashes. 0.90 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.
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 (×1.00 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 |
|---|---|---|---|---|---|
| C | 49 | 21–28 | 43% | 0.07 | |
| B | 20 | 10–10 | 50% | 0.04 | |
| A | 11 | 6–5 | 55% | 0.08 | |
| C | 9 | 4–5 | 44% | 0.02 | |
| — | 3 | 0–3 | 0% | 0.02 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 1 | 0–1 | 0% | 0.17 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (43% over 49). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 47 | 53% | 1.10 | 14.9 |
| Anubis | 25 | 44% | 1.23 | 15.0 |
| Vertigo | 14 | 64% | 1.34 | 15.1 |
| Inferno | 14 | 57% | 1.09 | 16.9 |
| Ancient | 12 | 42% | 0.99 | 15.8 |
| Dust2 | 9 | 44% | 1.12 | 14.9 |
| Overpass | 4 | 50% | 1.20 | 12.8 |
| Nuke | 4 | 25% | 0.75 | 10.5 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 49 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.08 | 23% | 27 Aug → | ||
| 13–10 | -0.01 | 30% | 25 Aug → | ||
| 10–13 | 0.18 | 19% | 25 Aug → | ||
| 8–13 | 0.16 | 36% | 21 Aug → | ||
| 9–13 | 0.04 | 27% | 21 Aug → | ||
| 7–13 | 0.08 | 31% | 16 Aug → | ||
| 13–2 | 0.02 | 23% | 16 Aug → | ||
| 3–13 | 0.03 | 47% | 12 Aug → | ||
| 13–9 | 0.14 | 33% | 10 Aug → | ||
| 9–8 | -0.08 | 23% | 10 Aug → | ||
| 13–4 | -0.05 | 28% | 6 Aug → | ||
| 13–4 | -0.01 | 100% | 6 Aug → | ||
| 1–4 | 0.01 | 67% | 6 Aug → | ||
| 13–3 | 0.09 | 32% | 26 Jul → | ||
| 10–13 | 0.17 | 33% | 26 Jul → | ||
| 4–13 | -0.06 | 32% | 5 Jul → | ||
| 13–5 | 0.01 | 32% | 4 Jul → | ||
| 13–11 | 0.00 | 14% | 4 Jul → | ||
| 13–16 | 0.07 | 23% | 4 Jul → | ||
| 14–16 | 0.03 | 19% | 4 Jul → | ||
| 1–13 | -0.02 | 29% | 4 Jul → | ||
| 10–13 | 0.00 | 23% | 4 Jul → | ||
| 10–13 | 0.02 | 29% | 27 Jun → | ||
| 8–13 | 0.08 | 21% | 18 Jun → | ||
| 13–7 | 0.05 | 26% | 18 Jun → | ||
| 13–5 | 0.10 | 32% | 7 Jun → | ||
| 13–8 | 0.08 | 21% | 6 Jun → | ||
| 13–6 | 0.04 | 19% | 6 Jun → | ||
| 13–5 | 0.31 | 42% | 5 Jun → | ||
| 10–13 | 0.04 | 31% | 2 Jun → | ||
| 0–7 | 0.04 | 42% | 2 Jun → | ||
| 12–12 | 0.16 | 27% | 2 Jun → | ||
| 10–13 | 0.02 | 23% | 27 May → | ||
| 5–13 | 0.09 | 30% | 24 May → | ||
| 13–4 | 0.11 | 53% | 17 May → | ||
| 13–11 | 0.09 | 32% | 15 May → | ||
| 13–11 | -0.03 | 32% | 15 May → | ||
| 4–13 | -0.03 | 32% | 12 May → | ||
| 13–5 | 0.06 | 26% | 12 May → | ||
| 4–13 | 0.10 | 28% | 11 May → | ||
| 13–8 | -0.01 | 23% | 11 May → | ||
| 13–2 | 0.09 | 22% | 11 May → | ||
| 13–7 | 0.04 | 29% | 9 May → | ||
| 10–13 | -0.01 | 15% | 9 May → | ||
| 10–13 | 0.00 | 35% | 9 May → | ||
| 0–3 | -0.08 | 0% | 9 May → | ||
| 5–13 | 0.03 | 30% | 8 May → | ||
| 13–10 | 0.23 | 28% | 7 May → | ||
| 13–3 | 0.14 | 27% | 7 May → | ||
| 8–13 | 0.17 | 25% | 7 May → | ||
| 14–16 | 0.04 | 16% | 4 May → | ||
| 8–13 | -0.02 | 24% | 4 May → | ||
| 12–12 | 0.15 | 33% | 3 May → | ||
| 4–13 | 0.17 | 25% | 3 May → | ||
| 13–0 | 0.11 | 22% | 3 May → | ||
| 10–13 | -0.03 | 17% | 3 May → | ||
| 0–13 | -0.03 | 19% | 3 May → | ||
| 13–2 | 0.17 | 38% | 3 May → | ||
| 9–13 | 0.16 | 36% | 3 May → | ||
| 13–10 | 0.10 | 30% | 2 May → | ||
| 1–5 | 0.12 | 36% | 2 May → | ||
| 4–13 | -0.04 | 28% | 2 May → | ||
| 13–11 | 0.03 | 33% | 2 May → | ||
| 13–11 | 0.10 | 23% | 28 Apr → | ||
| 12–12 | 0.07 | 29% | 28 Apr → | ||
| 8–13 | 0.06 | 23% | 25 Apr → | ||
| 10–13 | 0.07 | 24% | 22 Apr → | ||
| 7–13 | 0.09 | 30% | 19 Apr → | ||
| 2–13 | -0.02 | 26% | 19 Apr → | ||
| 13–11 | -0.01 | 25% | 18 Apr → | ||
| 8–13 | 0.01 | 35% | 18 Apr → | ||
| 13–6 | 0.13 | 35% | 18 Apr → | ||
| 13–7 | 0.13 | 33% | 17 Apr → | ||
| 12–12 | -0.00 | 21% | 16 Apr → | ||
| 1–6 | -0.10 | 14% | 15 Apr → | ||
| 5–13 | 0.01 | 20% | 15 Apr → | ||
| 1–9 | 0.08 | 38% | 14 Apr → | ||
| 12–12 | 0.05 | 16% | 14 Apr → | ||
| 8–13 | -0.01 | 28% | 12 Apr → | ||
| 13–11 | -0.05 | 14% | 12 Apr → | ||
| 6–13 | -0.05 | 27% | 12 Apr → | ||
| 13–10 | -0.02 | 24% | 11 Apr → | ||
| 13–9 | -0.05 | 17% | 11 Apr → | ||
| 13–7 | 0.05 | 52% | 11 Apr → | ||
| 8–13 | -0.04 | 26% | 10 Apr → | ||
| 12–12 | 0.19 | 39% | 9 Apr → | ||
| 13–8 | 0.20 | 35% | 8 Apr → | ||
| 7–10 | 0.15 | 22% | 8 Apr → | ||
| 6–13 | -0.07 | 20% | 7 Apr → | ||
| 12–12 | 0.07 | 30% | 6 Apr → | ||
| 13–6 | 0.19 | 38% | 6 Apr → | ||
| 13–9 | 0.15 | 29% | 5 Apr → | ||
| 12–12 | 0.12 | 35% | 5 Apr → | ||
| 13–3 | -0.06 | 20% | 5 Apr → | ||
| 12–12 | 0.17 | 40% | 3 Apr → | ||
| 13–9 | 0.20 | 52% | 3 Apr → | ||
| 13–8 | 0.06 | 33% | 3 Apr → | ||
| 13–6 | 0.09 | 37% | 2 Apr → | ||
| 13–7 | 0.07 | 25% | 1 Apr → | ||
| 7–13 | -0.03 | 32% | 31 Mar → |
Match data via Leetify.