arush — CS2 Stats
US76561198074346701[U:1:114080973]Steam profile ↗
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 | 50.8% | 52.8% |
| Shot accuracy | 10.1% | 13.7% |
| Kill/death ratio | 1.17 | 1.08 |
| Match win rate | 48.8% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 97% playstyle similarity
Most alike: positioning profile, 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
Strengths
Aim. Aim score of 97 — the mechanical foundation is a clear strength.
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 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 30 | 17–13 | 57% | 0.04 | |
| B | 24 | 12–12 | 50% | 0.03 | |
| A | 16 | 10–6 | 63% | 0.02 | |
| A | 13 | 8–5 | 62% | 0.03 | |
| D | 7 | 1–6 | 14% | -0.01 | |
| S | 7 | 6–1 | 86% | 0.05 | |
| — | 2 | 2–0 | 100% | 0.04 | |
| — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1004 | 51% | 1.22 | 18.3 |
| Dust2 | 427 | 52% | 1.24 | 17.4 |
| Anubis | 389 | 54% | 1.23 | 17.2 |
| Ancient | 346 | 47% | 1.18 | 17.3 |
| Nuke | 216 | 55% | 1.23 | 17.8 |
| Inferno | 149 | 44% | 1.18 | 18.1 |
| Overpass | 92 | 42% | 1.11 | 16.6 |
| Vertigo | 64 | 52% | 1.33 | 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.01 | 29% | 28 Aug → | ||
| 11–13 | -0.02 | 17% | 28 Aug → | ||
| 13–5 | 0.03 | 19% | 27 Aug → | ||
| 13–8 | 0.06 | 45% | 27 Aug → | ||
| 8–13 | 0.01 | 30% | 26 Aug → | ||
| 11–13 | 0.14 | 27% | 26 Aug → | ||
| 13–3 | 0.17 | 29% | 25 Aug → | ||
| 13–8 | -0.01 | 44% | 25 Aug → | ||
| 11–13 | 0.05 | 26% | 25 Aug → | ||
| 13–9 | 0.05 | 24% | 24 Aug → | ||
| 16–14 | 0.02 | 22% | 24 Aug → | ||
| 16–14 | -0.02 | 21% | 24 Aug → | ||
| 13–9 | 0.08 | 23% | 23 Aug → | ||
| 13–11 | 0.01 | 50% | 23 Aug → | ||
| 13–11 | 0.08 | 14% | 23 Aug → | ||
| 6–13 | 0.05 | 44% | 23 Aug → | ||
| 13–4 | 0.14 | 33% | 22 Aug → | ||
| 4–13 | -0.09 | 18% | 22 Aug → | ||
| 13–8 | 0.02 | 25% | 22 Aug → | ||
| 13–7 | 0.10 | 48% | 22 Aug → | ||
| 9–13 | 0.08 | 24% | 22 Aug → | ||
| 8–13 | -0.06 | 27% | 21 Aug → | ||
| 9–13 | -0.08 | 28% | 21 Aug → | ||
| 13–6 | 0.02 | 34% | 21 Aug → | ||
| 10–13 | 0.05 | 30% | 20 Aug → | ||
| 10–13 | 0.01 | 27% | 19 Aug → | ||
| 9–13 | 0.04 | 28% | 19 Aug → | ||
| 6–13 | -0.04 | 14% | 18 Aug → | ||
| 8–13 | -0.04 | 40% | 18 Aug → | ||
| 8–8 | 0.12 | 28% | 17 Aug → | ||
| 7–9 | 0.05 | 29% | 17 Aug → | ||
| 9–5 | 0.18 | 36% | 17 Aug → | ||
| 13–2 | 0.09 | 39% | 17 Aug → | ||
| 13–7 | 0.07 | 24% | 16 Aug → | ||
| 8–13 | 0.01 | 20% | 15 Aug → | ||
| 6–13 | 0.01 | 15% | 14 Aug → | ||
| 10–13 | 0.01 | 24% | 14 Aug → | ||
| 10–13 | 0.04 | 32% | 14 Aug → | ||
| 10–13 | -0.02 | 24% | 13 Aug → | ||
| 13–5 | -0.03 | 31% | 13 Aug → | ||
| 8–13 | 0.03 | 22% | 13 Aug → | ||
| 13–11 | 0.01 | 36% | 13 Aug → | ||
| 13–9 | 0.08 | 20% | 13 Aug → | ||
| 13–0 | 0.14 | 25% | 13 Aug → | ||
| 13–11 | 0.04 | 26% | 12 Aug → | ||
| 11–13 | -0.00 | 36% | 11 Aug → | ||
| 11–13 | 0.01 | 46% | 11 Aug → | ||
| 8–13 | -0.01 | 26% | 10 Aug → | ||
| 22–18 | -0.01 | 31% | 10 Aug → | ||
| 13–7 | -0.07 | 26% | 10 Aug → | ||
| 13–9 | 0.03 | 27% | 10 Aug → | ||
| 11–13 | -0.00 | 25% | 9 Aug → | ||
| 13–6 | -0.05 | 20% | 9 Aug → | ||
| 13–7 | 0.09 | 24% | 8 Aug → | ||
| 0–4 | -0.04 | 0% | 8 Aug → | ||
| 5–13 | -0.05 | 27% | 8 Aug → | ||
| 13–10 | 0.07 | 26% | 8 Aug → | ||
| 13–6 | -0.04 | 36% | 8 Aug → | ||
| 13–11 | 0.08 | 26% | 8 Aug → | ||
| 5–13 | -0.04 | 40% | 8 Aug → | ||
| 9–3 | 0.06 | 32% | 1 Aug → | ||
| 9–4 | 0.21 | 36% | 1 Aug → | ||
| 22–20 | 0.05 | 35% | 1 Aug → | ||
| 11–13 | 0.00 | 22% | 1 Aug → | ||
| 8–13 | 0.05 | 30% | 31 Jul → | ||
| 8–13 | 0.01 | 36% | 31 Jul → | ||
| 13–16 | -0.04 | 38% | 31 Jul → | ||
| 13–6 | 0.08 | 29% | 30 Jul → | ||
| 13–7 | -0.08 | 25% | 30 Jul → | ||
| 13–2 | -0.02 | 44% | 30 Jul → | ||
| 13–5 | 0.04 | 30% | 30 Jul → | ||
| 9–13 | 0.04 | 34% | 30 Jul → | ||
| 11–13 | 0.06 | 29% | 30 Jul → | ||
| 9–5 | -0.06 | 25% | 30 Jul → | ||
| 8–1 | 0.04 | 63% | 30 Jul → | ||
| 13–9 | 0.06 | 37% | 29 Jul → | ||
| 4–13 | -0.03 | 28% | 29 Jul → | ||
| 19–17 | 0.04 | 31% | 28 Jul → | ||
| 8–13 | 0.01 | 26% | 28 Jul → | ||
| 13–9 | 0.04 | 29% | 28 Jul → | ||
| 13–8 | 0.04 | 35% | 26 Jul → | ||
| 9–1 | 0.00 | 53% | 26 Jul → | ||
| 13–11 | 0.08 | 39% | 26 Jul → | ||
| 13–7 | -0.01 | 50% | 25 Jul → | ||
| 6–13 | 0.08 | 27% | 25 Jul → | ||
| 14–16 | 0.02 | 36% | 25 Jul → | ||
| 6–13 | -0.04 | 21% | 25 Jul → | ||
| 13–7 | 0.06 | 38% | 24 Jul → | ||
| 13–11 | 0.06 | 18% | 24 Jul → | ||
| 16–14 | 0.05 | 24% | 23 Jul → | ||
| 9–13 | -0.03 | 37% | 23 Jul → | ||
| 13–0 | 0.22 | 41% | 22 Jul → | ||
| 13–3 | 0.07 | 28% | 22 Jul → | ||
| 13–10 | 0.10 | 32% | 21 Jul → | ||
| 6–13 | -0.01 | 45% | 21 Jul → | ||
| 13–9 | 0.05 | 16% | 20 Jul → | ||
| 13–3 | 0.05 | 29% | 20 Jul → | ||
| 5–13 | -0.06 | 8% | 20 Jul → | ||
| 13–11 | 0.05 | 31% | 20 Jul → | ||
| 11–13 | 0.05 | 35% | 20 Jul → |
Match data via Leetify.