rØKYY — CS2 Stats
76561198349461039[U:1:389195311]
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 | 48.9% | 51.9% |
| Shot accuracy | 3.8% | 13.7% |
| Kill/death ratio | 0.81 | 1.08 |
| Match win rate | 41.3% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 b1t 92% playstyle similarity
Most alike: opening-fight frequency, 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 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 38 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.
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 7.1/10 (Strong), 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 | 24 | 13–11 | 54% | 0.00 | |
| C | 16 | 6–10 | 38% | -0.02 | |
| A | 15 | 9–6 | 60% | 0.02 | |
| C | 13 | 5–8 | 38% | 0.03 | |
| C | 11 | 4–7 | 36% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.00 | |
| eldorado | — | 1 | 1–0 | 100% | 0.03 |
| — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 264 | 60% | 1.04 | 15.2 |
| Ancient | 162 | 51% | 0.96 | 15.7 |
| Dust2 | 154 | 45% | 0.97 | 15.1 |
| Inferno | 136 | 47% | 0.97 | 14.8 |
| Vertigo | 90 | 59% | 1.07 | 16.0 |
| Mirage | 48 | 31% | 0.88 | 14.3 |
| Nuke | 43 | 51% | 0.97 | 15.5 |
| Overpass | 21 | 52% | 0.97 | 15.3 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4892 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.02 | 13% | 26 Aug → | ||
| 2–13 | -0.09 | 16% | 26 Aug → | ||
| 10–13 | 0.03 | 11% | 24 Aug → | ||
| 9–13 | -0.06 | 14% | 24 Aug → | ||
| 15–15 | -0.07 | 7% | 23 Aug → | ||
| 13–11 | -0.00 | 16% | 21 Aug → | ||
| 13–16 | 0.01 | 22% | 20 Aug → | ||
| 13–6 | 0.07 | 5% | 20 Aug → | ||
| 13–3 | 0.12 | 32% | 20 Aug → | ||
| 15–15 | 0.02 | 19% | 20 Aug → | ||
| 13–4 | 0.00 | 19% | 18 Aug → | ||
| 12–16 | 0.01 | 13% | 18 Aug → | ||
| 11–13 | -0.01 | 13% | 18 Aug → | ||
| 8–13 | -0.04 | 8% | 17 Aug → | ||
| 13–10 | 0.05 | 16% | 17 Aug → | ||
| 6–13 | -0.02 | 18% | 17 Aug → | ||
| 13–2 | 0.06 | 12% | 16 Aug → | ||
| 10–13 | -0.01 | 13% | 16 Aug → | ||
| eldorado | 9–1 | 0.03 | 42% | 16 Aug → | |
| 13–16 | 0.02 | 14% | 29 Jul → | ||
| 15–15 | -0.05 | 21% | 23 Jul → | ||
| 13–8 | 0.01 | 15% | 23 Jul → | ||
| 13–4 | 0.03 | 13% | 23 Jul → | ||
| 13–10 | 0.04 | 35% | 19 Jul → | ||
| 16–12 | -0.01 | 14% | 9 Jul → | ||
| 13–7 | 0.07 | 11% | 28 Jun → | ||
| 13–4 | 0.01 | 22% | 27 Jun → | ||
| 13–11 | 0.02 | 11% | 27 Jun → | ||
| 13–7 | 0.03 | 14% | 27 Jun → | ||
| 13–9 | -0.03 | 21% | 25 Jun → | ||
| 5–13 | -0.02 | 38% | 23 Jun → | ||
| 13–5 | 0.18 | 12% | 23 Jun → | ||
| 13–4 | 0.12 | 21% | 22 Jun → | ||
| 15–15 | -0.04 | 12% | 21 Jun → | ||
| 13–5 | 0.22 | 17% | 19 Jun → | ||
| 8–13 | -0.03 | 15% | 15 Jun → | ||
| 0–4 | -0.10 | 0% | 15 Jun → | ||
| 13–10 | 0.03 | 21% | 11 Jun → | ||
| 7–13 | -0.00 | 21% | 11 Jun → | ||
| 9–13 | 0.01 | 22% | 10 Jun → | ||
| 1–13 | -0.06 | 22% | 7 Jun → | ||
| 13–1 | 0.05 | 19% | 5 Jun → | ||
| 13–11 | -0.01 | 12% | 4 Jun → | ||
| 13–8 | -0.01 | 26% | 4 Jun → | ||
| 8–13 | 0.00 | 22% | 3 Jun → | ||
| 10–13 | -0.01 | 35% | 2 Jun → | ||
| 10–13 | 0.08 | 12% | 31 May → | ||
| 13–7 | -0.01 | 10% | 24 May → | ||
| 13–11 | -0.01 | 14% | 24 May → | ||
| 9–13 | -0.03 | 21% | 20 May → | ||
| 14–16 | 0.00 | 12% | 20 May → | ||
| 13–2 | 0.06 | 13% | 20 May → | ||
| 14–16 | -0.00 | 14% | 17 May → | ||
| 13–9 | 0.01 | 10% | 17 May → | ||
| 10–13 | 0.06 | 19% | 15 May → | ||
| 19–15 | 0.02 | 19% | 14 May → | ||
| 11–13 | 0.07 | 32% | 7 May → | ||
| 5–13 | 0.09 | 22% | 6 May → | ||
| 13–8 | 0.07 | 16% | 6 May → | ||
| 11–13 | 0.04 | 15% | 4 May → | ||
| 13–11 | -0.07 | 6% | 4 May → | ||
| 7–13 | -0.01 | 17% | 1 May → | ||
| 5–13 | 0.06 | 19% | 29 Apr → | ||
| 13–11 | -0.01 | 16% | 29 Apr → | ||
| 13–11 | -0.02 | 7% | 28 Apr → | ||
| 13–10 | -0.07 | 20% | 28 Apr → | ||
| 10–13 | -0.00 | 20% | 28 Apr → | ||
| 17–19 | -0.05 | 11% | 22 Apr → | ||
| 13–10 | -0.04 | 0% | 21 Apr → | ||
| 3–13 | -0.13 | 0% | 21 Apr → | ||
| 11–13 | -0.02 | 16% | 20 Apr → | ||
| 13–11 | -0.02 | 16% | 20 Apr → | ||
| 11–13 | 0.04 | 20% | 20 Apr → | ||
| 7–13 | 0.03 | 13% | 20 Apr → | ||
| 9–4 | 0.15 | 7% | 19 Apr → | ||
| 13–16 | -0.03 | 21% | 19 Apr → | ||
| 13–9 | -0.00 | 20% | 11 Apr → | ||
| 5–13 | -0.09 | 26% | 11 Apr → | ||
| 3–6 | -0.01 | 16% | 11 Apr → | ||
| 13–7 | -0.01 | 17% | 6 Apr → | ||
| 13–8 | -0.03 | 22% | 5 Apr → | ||
| 15–15 | -0.01 | 23% | 5 Apr → | ||
| 6–13 | -0.05 | 11% | 10 Mar → | ||
| 13–6 | -0.01 | 30% | 7 Mar → | ||
| 8–13 | -0.06 | 20% | 2 Mar → | ||
| 13–5 | -0.05 | 23% | 2 Mar → | ||
| 4–13 | -0.02 | 19% | 1 Mar → | ||
| 13–8 | 0.09 | 20% | 28 Feb → | ||
| 13–11 | 0.11 | 16% | 16 Feb → | ||
| 13–4 | 0.12 | 15% | 16 Feb → | ||
| 6–13 | -0.01 | 6% | 16 Feb → | ||
| 13–6 | 0.08 | 21% | 16 Feb → | ||
| 5–13 | -0.01 | 20% | 16 Feb → | ||
| 5–13 | -0.04 | 8% | 12 Feb → | ||
| 2–13 | -0.06 | 15% | 12 Feb → | ||
| 7–13 | 0.01 | 15% | 12 Feb → | ||
| 10–13 | 0.10 | 14% | 12 Feb → | ||
| 5–13 | -0.02 | 23% | 11 Feb → | ||
| 13–10 | -0.03 | 18% | 11 Feb → | ||
| 13–10 | -0.01 | 10% | 11 Feb → |
Match data via Leetify.