sarkin — CS2 Stats
76561198344537627[U:1:384271899]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 59.1% | 52.8% | above |
| Shot accuracy | 20.6% | 13.7% | above |
| Kill/death ratio | 1.32 | 1.08 | above |
| Match win rate | 47.9% | 49.2% | 1.3% short |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 10 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: -40pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 92% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower 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 93 — 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.
T-side openings. Opening success drops from 54% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 589ms 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 6.3/10 (Solid), 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 | 32 | 16–16 | 50% | 0.04 | |
| C | 16 | 7–9 | 44% | 0.01 | |
| C | 14 | 6–8 | 43% | 0.00 | |
| B | 12 | 6–6 | 50% | 0.02 | |
| S | 9 | 6–3 | 67% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| A | 5 | 3–2 | 60% | 0.04 | |
| office | — | 2 | 1–1 | 50% | 0.02 |
| — | 1 | 1–0 | 100% | -0.06 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (43% over 14). 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 18 | 72% | 1.33 | 16.3 |
| Dust2 | 18 | 61% | 0.96 | 15.2 |
| Mirage | 15 | 40% | 0.82 | 14.9 |
| Ancient | 13 | 62% | 1.11 | 16.5 |
| Anubis | 8 | 62% | 1.18 | 15.4 |
| Nuke | 6 | 83% | 1.28 | 19.7 |
| Train | 4 | 75% | 0.88 | 13.5 |
| Overpass | 1 | 100% | 1.69 | 22.0 |
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 0.3757 — below the 0.5 mark we flag
- 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 29.9948% — 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.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | -0.12 | 24% | 4 Jul → | ||
| 8–13 | 0.04 | 45% | 3 Jul → | ||
| 10–13 | 0.18 | 50% | 3 Jul → | ||
| 10–13 | -0.00 | 33% | 3 Jul → | ||
| 9–13 | 0.09 | 50% | 2 Jul → | ||
| 10–13 | 0.04 | 53% | 2 Jul → | ||
| 13–16 | -0.01 | 41% | 2 Jul → | ||
| 6–13 | 0.01 | 22% | 30 Jun → | ||
| 13–11 | 0.06 | 45% | 29 Jun → | ||
| 8–13 | -0.09 | 30% | 14 May → | ||
| 10–13 | -0.00 | 31% | 14 May → | ||
| 13–3 | 0.11 | 36% | 14 May → | ||
| 10–13 | 0.09 | 46% | 14 May → | ||
| 9–13 | 0.02 | 38% | 8 May → | ||
| 8–13 | 0.04 | 33% | 8 May → | ||
| 13–9 | -0.01 | 35% | 4 May → | ||
| 4–13 | -0.02 | 60% | 3 May → | ||
| 13–10 | -0.01 | 53% | 29 Apr → | ||
| 13–8 | -0.03 | 38% | 29 Apr → | ||
| 13–4 | -0.06 | 50% | 29 Apr → | ||
| 13–9 | 0.02 | 34% | 28 Apr → | ||
| 13–8 | 0.08 | 50% | 28 Apr → | ||
| 8–13 | 0.08 | 35% | 28 Apr → | ||
| 9–1 | 0.20 | 15% | 27 Apr → | ||
| 9–1 | -0.00 | 20% | 27 Apr → | ||
| 13–3 | 0.05 | 51% | 27 Apr → | ||
| office | 13–6 | 0.03 | 65% | 27 Apr → | |
| 13–8 | 0.01 | 32% | 26 Apr → | ||
| 9–4 | 0.11 | 42% | 26 Apr → | ||
| 9–0 | 0.17 | 42% | 26 Apr → | ||
| 11–13 | -0.07 | 17% | 26 Apr → | ||
| 13–11 | 0.06 | 52% | 26 Apr → | ||
| 12–12 | 0.10 | 51% | 26 Apr → | ||
| 9–1 | 0.26 | 44% | 25 Apr → | ||
| 5–13 | -0.04 | 46% | 25 Apr → | ||
| 13–8 | 0.03 | 28% | 25 Apr → | ||
| 13–7 | -0.03 | 20% | 25 Apr → | ||
| 10–13 | -0.06 | 33% | 25 Apr → | ||
| 13–10 | -0.06 | 50% | 25 Apr → | ||
| 11–13 | 0.01 | 41% | 24 Apr → | ||
| 13–8 | 0.06 | 27% | 24 Apr → | ||
| 13–4 | 0.10 | 46% | 23 Apr → | ||
| 4–13 | -0.00 | 34% | 23 Apr → | ||
| 19–16 | 0.02 | 30% | 23 Apr → | ||
| 7–10 | -0.11 | 33% | 22 Apr → | ||
| 13–8 | 0.02 | 42% | 22 Apr → | ||
| 12–16 | 0.03 | 24% | 22 Apr → | ||
| 13–3 | 0.13 | 25% | 22 Apr → | ||
| 7–0 | -0.00 | 27% | 22 Apr → | ||
| 13–1 | 0.03 | 12% | 21 Apr → | ||
| 13–1 | -0.04 | 73% | 21 Apr → | ||
| 6–9 | -0.13 | 16% | 21 Apr → | ||
| 9–3 | 0.24 | 36% | 21 Apr → | ||
| 9–5 | 0.08 | 36% | 21 Apr → | ||
| 2–13 | -0.05 | 17% | 20 Apr → | ||
| 13–8 | -0.02 | 29% | 17 Apr → | ||
| 13–0 | 0.01 | 26% | 17 Apr → | ||
| 5–13 | 0.06 | 41% | 17 Apr → | ||
| 9–13 | 0.02 | 47% | 17 Apr → | ||
| 11–13 | 0.00 | 33% | 16 Apr → | ||
| 9–13 | 0.05 | 38% | 16 Apr → | ||
| 13–11 | -0.06 | 50% | 13 Apr → | ||
| 13–5 | 0.12 | 43% | 13 Apr → | ||
| 11–13 | 0.00 | 30% | 13 Apr → | ||
| 13–9 | 0.04 | 18% | 13 Apr → | ||
| 13–6 | 0.07 | 29% | 13 Apr → | ||
| 12–16 | 0.04 | 25% | 12 Apr → | ||
| 13–3 | 0.09 | 22% | 12 Apr → | ||
| 13–5 | 0.07 | 50% | 12 Apr → | ||
| 7–13 | 0.03 | 47% | 12 Apr → | ||
| 10–13 | 0.02 | 22% | 12 Apr → | ||
| 13–7 | -0.04 | 32% | 12 Apr → | ||
| 5–13 | -0.01 | 31% | 12 Apr → | ||
| 13–7 | 0.07 | 45% | 12 Apr → | ||
| 13–6 | 0.08 | 36% | 12 Apr → | ||
| 6–13 | -0.05 | 30% | 12 Apr → | ||
| 3–9 | 0.03 | 18% | 12 Apr → | ||
| 7–13 | 0.01 | 26% | 11 Apr → | ||
| 7–13 | 0.01 | 20% | 11 Apr → | ||
| 13–3 | 0.03 | 32% | 11 Apr → | ||
| 16–12 | 0.00 | 44% | 11 Apr → | ||
| 8–8 | -0.09 | 15% | 11 Apr → | ||
| 8–8 | 0.05 | 22% | 11 Apr → | ||
| 12–12 | -0.04 | 21% | 8 Apr → | ||
| 11–13 | -0.01 | 54% | 8 Apr → | ||
| 4–13 | 0.02 | 29% | 8 Apr → | ||
| 11–13 | -0.03 | 33% | 8 Apr → | ||
| 13–2 | 0.16 | 30% | 8 Apr → | ||
| 13–10 | -0.00 | 64% | 6 Apr → | ||
| 8–13 | -0.05 | 39% | 6 Apr → | ||
| 3–9 | -0.07 | 71% | 6 Apr → | ||
| 9–6 | 0.10 | 39% | 6 Apr → | ||
| 9–7 | 0.03 | 53% | 6 Apr → | ||
| office | 12–12 | 0.01 | 71% | 6 Apr → | |
| 8–13 | -0.01 | 37% | 3 Apr → | ||
| 16–13 | 0.08 | 56% | 2 Apr → | ||
| 8–13 | 0.03 | 43% | 2 Apr → | ||
| 16–12 | -0.01 | 32% | 2 Apr → | ||
| 13–3 | 0.10 | 35% | 2 Apr → | ||
| 13–5 | -0.01 | 44% | 2 Apr → |
Match data via Leetify.