sitting cinema — CS2 Stats
KR76561198052159821[U:1:91894093]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 51.3% | 47.2% | 49.0% | above |
| Shot accuracy | 18.3% | 12.3% | 13.1% | above |
| Kill/death ratio | 1.44 | 1.07 | 1.08 | above |
| Match win rate | 44.4% | 46.3% | 46.9% | 2.5% short |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 9 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: +20pp win rate · +0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerEffective flashesLimited utility dependence
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 92% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower 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 90 — the mechanical foundation is a clear strength.
CT openings. 74% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.78 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 74% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
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 |
|---|---|---|---|---|---|
| B | 31 | 16–15 | 52% | 0.09 | |
| A | 23 | 13–10 | 57% | 0.09 | |
| A | 11 | 7–4 | 64% | 0.11 | |
| A | 9 | 5–4 | 56% | 0.09 | |
| S | 9 | 6–3 | 67% | 0.12 | |
| B | 8 | 4–4 | 50% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.09 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.11 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 8). 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 27 | 56% | 1.72 | 17.9 |
| Nuke | 11 | 55% | 1.92 | 17.0 |
| Dust2 | 8 | 38% | 1.34 | 15.5 |
| Inferno | 8 | 75% | 2.64 | 22.3 |
| Anubis | 6 | 50% | 1.76 | 14.7 |
| Ancient | 5 | 40% | 1.55 | 19.2 |
| Vertigo | 3 | 100% | 2.79 | 28.7 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.12 | 30% | 7 Aug → | ||
| 4–13 | -0.02 | 18% | 7 Aug → | ||
| 10–13 | 0.04 | 18% | 7 Aug → | ||
| 11–13 | 0.08 | 29% | 7 Aug → | ||
| 8–13 | 0.03 | 27% | 7 Aug → | ||
| 13–11 | 0.09 | 33% | 18 Jul → | ||
| 13–10 | 0.08 | 27% | 18 Jul → | ||
| 9–3 | 0.18 | 30% | 18 Jul → | ||
| 13–8 | 0.11 | 21% | 18 Jul → | ||
| 13–3 | 0.11 | 17% | 18 Jul → | ||
| 0–13 | -0.04 | 0% | 18 Jul → | ||
| 12–16 | 0.10 | 25% | 18 Jul → | ||
| 14–16 | 0.10 | 30% | 18 Jul → | ||
| 11–13 | 0.02 | 33% | 18 Jul → | ||
| 13–9 | 0.07 | 20% | 12 Jul → | ||
| 13–11 | 0.17 | 19% | 12 Jul → | ||
| 10–13 | 0.05 | 34% | 12 Jul → | ||
| 11–13 | 0.09 | 26% | 12 Jul → | ||
| 13–11 | 0.06 | 28% | 11 Jul → | ||
| 6–13 | 0.02 | 29% | 11 Jul → | ||
| 10–13 | 0.05 | 38% | 11 Jul → | ||
| 13–3 | 0.22 | 52% | 11 Jul → | ||
| 13–8 | 0.12 | 35% | 11 Jul → | ||
| 7–13 | 0.05 | 28% | 10 Jul → | ||
| 13–5 | 0.06 | 29% | 10 Jul → | ||
| 13–11 | 0.00 | 33% | 10 Jul → | ||
| 13–5 | 0.08 | 10% | 5 Jul → | ||
| 13–8 | 0.16 | 30% | 5 Jul → | ||
| 13–7 | 0.14 | 16% | 5 Jul → | ||
| 13–9 | 0.14 | 24% | 5 Jul → | ||
| 13–1 | 0.08 | 29% | 5 Jul → | ||
| 13–2 | 0.09 | 21% | 5 Jul → | ||
| 10–13 | 0.10 | 38% | 5 Jul → | ||
| 13–4 | 0.13 | 22% | 5 Jul → | ||
| 13–10 | 0.04 | 14% | 4 Jul → | ||
| 7–13 | 0.03 | 39% | 4 Jul → | ||
| 10–13 | 0.02 | 20% | 4 Jul → | ||
| 13–5 | 0.05 | 25% | 4 Jul → | ||
| 13–3 | 0.05 | 29% | 3 Jul → | ||
| 4–13 | 0.02 | 34% | 3 Jul → | ||
| 8–13 | 0.15 | 22% | 2 Jul → | ||
| 13–11 | 0.11 | 23% | 2 Jul → | ||
| 6–13 | 0.05 | 34% | 27 Jun → | ||
| 9–13 | 0.07 | 22% | 27 Jun → | ||
| 13–7 | 0.06 | 31% | 27 Jun → | ||
| 13–8 | 0.08 | 19% | 27 Jun → | ||
| 6–13 | 0.16 | 22% | 27 Jun → | ||
| 4–13 | 0.01 | 21% | 27 Jun → | ||
| 13–7 | 0.19 | 24% | 27 Jun → | ||
| 14–16 | 0.05 | 31% | 26 Jun → | ||
| 13–10 | 0.11 | 28% | 26 Jun → | ||
| 7–13 | 0.03 | 34% | 26 Jun → | ||
| 6–13 | -0.02 | 12% | 19 Jun → | ||
| 13–7 | 0.23 | 22% | 19 Jun → | ||
| 9–13 | 0.08 | 18% | 19 Jun → | ||
| 16–12 | 0.05 | 18% | 19 Jun → | ||
| 13–6 | 0.01 | 10% | 16 Jun → | ||
| 10–13 | 0.13 | 39% | 12 Jun → | ||
| 16–13 | 0.16 | 27% | 12 Jun → | ||
| 13–8 | 0.03 | 17% | 7 Jun → | ||
| 13–11 | -0.01 | 34% | 7 Jun → | ||
| 13–9 | 0.03 | 23% | 6 Jun → | ||
| 13–11 | 0.05 | 20% | 6 Jun → | ||
| 16–14 | 0.16 | 32% | 1 Jun → | ||
| 15–15 | 0.12 | 32% | 31 May → | ||
| 9–13 | -0.02 | 22% | 30 May → | ||
| 16–13 | 0.06 | 33% | 30 May → | ||
| 11–13 | 0.08 | 21% | 30 May → | ||
| 8–0 | 0.24 | 28% | 30 May → | ||
| 13–8 | 0.11 | 32% | 5 May → | ||
| 13–8 | 0.14 | 21% | 5 May → | ||
| 4–13 | 0.02 | 39% | 4 May → | ||
| 13–11 | 0.14 | 20% | 3 May → | ||
| 13–1 | 0.34 | 26% | 3 May → | ||
| 11–13 | 0.04 | 7% | 3 May → | ||
| 6–13 | -0.01 | 22% | 2 May → | ||
| 13–2 | 0.13 | 16% | 2 May → | ||
| 13–6 | 0.16 | 25% | 1 May → | ||
| 13–10 | 0.16 | 38% | 28 Apr → | ||
| 13–0 | 0.18 | 22% | 28 Apr → | ||
| 13–8 | 0.13 | 25% | 28 Apr → | ||
| 6–13 | 0.04 | 31% | 28 Apr → | ||
| 13–11 | 0.17 | 25% | 28 Apr → | ||
| 4–13 | 0.08 | 26% | 27 Apr → | ||
| 13–1 | 0.13 | 32% | 27 Apr → | ||
| 13–2 | 0.10 | 19% | 26 Apr → | ||
| 12–12 | 0.12 | 17% | 26 Apr → | ||
| 11–13 | 0.02 | 17% | 26 Apr → | ||
| 13–3 | 0.18 | 23% | 26 Apr → | ||
| 13–4 | 0.10 | 27% | 16 Apr → | ||
| 10–13 | 0.07 | 41% | 16 Apr → | ||
| 9–13 | 0.03 | 33% | 15 Apr → | ||
| 1–13 | 0.05 | 19% | 15 Apr → | ||
| 11–13 | 0.04 | 24% | 15 Apr → | ||
| 13–7 | 0.10 | 23% | 12 Apr → | ||
| 10–13 | 0.10 | 27% | 12 Apr → | ||
| 13–0 | 0.13 | 27% | 12 Apr → | ||
| 12–12 | 0.11 | 32% | 12 Apr → | ||
| 5–9 | 0.01 | 31% | 5 Apr → | ||
| 12–12 | 0.13 | 30% | 3 Apr → |
Match data via Leetify.