asd — CS2 Stats
76561198220590348[U:1:260324620]✓ 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 |
|---|---|---|
| Headshot rate | 57.0% | 52.8% |
| Shot accuracy | 9.3% | 13.7% |
| Kill/death ratio | 1.06 | 1.08 |
| Match win rate | 51.5% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong 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 88% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: higher opening-fight frequency; lower aim 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
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 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 570ms 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 6.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 22 | 13–9 | 59% | 0.03 | |
| B | 21 | 10–11 | 48% | 0.01 | |
| S | 15 | 10–5 | 67% | 0.00 | |
| A | 12 | 7–5 | 58% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| D | 6 | 1–5 | 17% | -0.01 | |
| S | 5 | 4–1 | 80% | 0.03 | |
| — | 4 | 3–1 | 75% | -0.01 | |
| — | 3 | 3–0 | 100% | 0.04 | |
| office | — | 1 | 1–0 | 100% | 0.04 |
| basalt | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 394 | 52% | 1.18 | 17.5 |
| Ancient | 245 | 58% | 1.21 | 17.6 |
| Dust2 | 243 | 56% | 1.11 | 16.4 |
| Anubis | 153 | 52% | 1.12 | 17.6 |
| Inferno | 105 | 57% | 1.18 | 17.5 |
| Nuke | 85 | 54% | 1.11 | 16.6 |
| Vertigo | 60 | 60% | 1.15 | 16.2 |
| Train | 47 | 60% | 1.19 | 18.5 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- 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 37.5563% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.04 | 24% | 22 Apr → | ||
| 13–11 | -0.09 | 16% | 22 Apr → | ||
| 2–2 | 0.07 | 36% | 20 Apr → | ||
| 13–3 | 0.02 | 16% | 20 Apr → | ||
| 15–15 | -0.08 | 17% | 20 Apr → | ||
| 13–3 | 0.03 | 16% | 17 Apr → | ||
| 13–2 | 0.16 | 24% | 17 Apr → | ||
| 3–13 | -0.01 | 28% | 8 Apr → | ||
| 13–6 | -0.03 | 21% | 3 Apr → | ||
| 11–13 | -0.04 | 16% | 2 Apr → | ||
| 8–13 | 0.04 | 12% | 1 Apr → | ||
| 8–13 | 0.07 | 29% | 1 Apr → | ||
| 9–13 | 0.03 | 20% | 1 Apr → | ||
| 16–13 | 0.00 | 19% | 21 Mar → | ||
| 16–14 | 0.02 | 23% | 14 Mar → | ||
| 10–13 | 0.01 | 22% | 14 Mar → | ||
| 11–13 | 0.08 | 26% | 29 Dec → | ||
| 13–9 | 0.04 | 21% | 5 Dec → | ||
| 13–10 | 0.05 | 20% | 5 Dec → | ||
| 13–6 | 0.01 | 14% | 20 Oct → | ||
| 13–1 | -0.06 | 19% | 19 Oct → | ||
| 13–8 | 0.02 | 25% | 14 Oct → | ||
| 13–9 | 0.05 | 36% | 9 Oct → | ||
| 9–1 | 0.08 | 38% | 9 Oct → | ||
| 8–13 | -0.03 | 22% | 7 Oct → | ||
| 13–11 | -0.04 | 23% | 5 Oct → | ||
| office | 13–1 | 0.04 | 24% | 3 Oct → | |
| 13–5 | 0.02 | 30% | 3 Oct → | ||
| 13–7 | -0.01 | 19% | 30 Sept → | ||
| 13–1 | 0.07 | 50% | 30 Sept → | ||
| 9–13 | 0.03 | 12% | 30 Sept → | ||
| 13–9 | -0.00 | 16% | 29 Sept → | ||
| 0–13 | -0.11 | 26% | 28 Sept → | ||
| 13–7 | 0.06 | 36% | 26 Sept → | ||
| 7–13 | 0.02 | 16% | 13 Sept → | ||
| 13–4 | 0.02 | 29% | 5 Sept → | ||
| 13–9 | -0.05 | 12% | 20 Aug → | ||
| 13–7 | 0.04 | 20% | 14 Aug → | ||
| 9–13 | 0.01 | 44% | 11 Aug → | ||
| 16–13 | -0.02 | 23% | 8 Aug → | ||
| 6–13 | 0.04 | 22% | 2 Aug → | ||
| 13–10 | 0.05 | 32% | 27 Jul → | ||
| 13–11 | -0.01 | 24% | 12 May → | ||
| 13–16 | -0.01 | 12% | 19 Apr → | ||
| 8–13 | 0.02 | 24% | 18 Apr → | ||
| 13–2 | 0.17 | 23% | 18 Apr → | ||
| 13–9 | 0.08 | 17% | 18 Apr → | ||
| 13–6 | -0.00 | 24% | 18 Apr → | ||
| 11–13 | 0.01 | 16% | 10 Apr → | ||
| 9–13 | 0.01 | 18% | 9 Apr → | ||
| 13–4 | 0.01 | 22% | 6 Apr → | ||
| 6–13 | -0.08 | 12% | 2 Apr → | ||
| 16–14 | -0.00 | 29% | 1 Apr → | ||
| 6–13 | -0.07 | 29% | 31 Mar → | ||
| 13–10 | 0.00 | 19% | 30 Mar → | ||
| 11–13 | 0.03 | 19% | 18 Mar → | ||
| 13–9 | -0.00 | 14% | 10 Mar → | ||
| 13–9 | 0.01 | 18% | 27 Feb → | ||
| 6–13 | 0.06 | 17% | 13 Feb → | ||
| 19–15 | -0.03 | 22% | 13 Feb → | ||
| 16–14 | -0.03 | 20% | 10 Feb → | ||
| 13–10 | 0.04 | 54% | 5 Feb → | ||
| 13–10 | 0.02 | 23% | 18 Jan → | ||
| 2–13 | -0.03 | 30% | 18 Jan → | ||
| 7–13 | 0.01 | 18% | 9 Jan → | ||
| 13–8 | 0.06 | 24% | 6 Jan → | ||
| 11–13 | -0.05 | 18% | 25 Dec → | ||
| 13–10 | 0.05 | 18% | 8 Dec → | ||
| 0–2 | 0.00 | 50% | 30 Nov → | ||
| basalt | 3–6 | -0.07 | 10% | 16 Nov → | |
| 13–8 | 0.03 | 17% | 15 Nov → | ||
| 12–12 | -0.09 | 13% | 8 Nov → | ||
| 13–8 | 0.05 | 21% | 6 Nov → | ||
| 13–8 | -0.01 | 12% | 1 Nov → | ||
| 13–2 | -0.00 | 44% | 1 Nov → | ||
| 13–4 | 0.03 | 21% | 28 Oct → | ||
| 17–19 | -0.05 | 13% | 23 Oct → | ||
| 13–3 | 0.04 | 38% | 23 Oct → | ||
| 13–11 | 0.02 | 27% | 20 Oct → | ||
| 13–8 | 0.10 | 30% | 15 Oct → | ||
| 6–13 | 0.05 | 13% | 15 Oct → | ||
| 13–11 | -0.03 | 20% | 12 Oct → | ||
| 10–13 | -0.03 | 23% | 11 Oct → | ||
| 8–13 | 0.08 | 24% | 11 Oct → | ||
| 7–13 | 0.08 | 19% | 11 Oct → | ||
| 13–10 | 0.08 | 16% | 11 Oct → | ||
| 13–3 | 0.10 | 48% | 4 Oct → | ||
| 13–4 | 0.06 | 26% | 4 Oct → | ||
| 5–13 | -0.07 | 28% | 28 May → | ||
| 9–3 | 0.07 | 33% | 24 May → | ||
| 7–13 | -0.02 | 14% | 17 May → | ||
| 13–9 | -0.01 | 15% | 12 May → | ||
| 5–13 | -0.08 | 15% | 8 May → | ||
| 9–13 | 0.00 | 26% | 5 May → | ||
| 4–13 | -0.07 | 11% | 5 May → | ||
| 9–13 | 0.04 | 34% | 1 May → | ||
| 16–19 | -0.03 | 20% | 29 Apr → | ||
| 13–11 | 0.07 | 23% | 23 Apr → | ||
| 14–16 | 0.02 | 14% | 20 Apr → | ||
| 9–13 | 0.05 | 22% | 20 Apr → |
Match data via Leetify.
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