KusMe — CS2 Stats
76561199021962584[U:1:1061696856]
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 | 66.8% | 52.8% |
| Shot accuracy | 11.4% | 13.7% |
| Kill/death ratio | 0.92 | 1.08 |
| Match win rate | 55.2% | 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: Support — Utility contribution leads the profile while opening activity stays low.
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 NiKo 95% playstyle similarity
Most alike: aim profile, 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 94 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 54% on CT to 21% 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 7.7/10 (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 | 24 | 15–9 | 63% | 0.01 | |
| B | 22 | 10–12 | 45% | 0.01 | |
| D | 19 | 6–13 | 32% | -0.00 | |
| C | 12 | 5–7 | 42% | 0.02 | |
| D | 10 | 3–7 | 30% | 0.00 | |
| S | 8 | 7–1 | 88% | 0.04 | |
| — | 3 | 2–1 | 67% | -0.03 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Overpass 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 568 | 62% | 1.35 | 18.0 |
| Ancient | 285 | 61% | 1.34 | 16.6 |
| Dust2 | 211 | 55% | 1.17 | 15.6 |
| Anubis | 204 | 62% | 1.24 | 16.6 |
| Nuke | 151 | 61% | 1.25 | 16.1 |
| Vertigo | 56 | 55% | 1.23 | 17.1 |
| Train | 53 | 62% | 1.34 | 17.5 |
| Overpass | 38 | 47% | 1.20 | 15.7 |
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.
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 21.4863% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.03 | 27% | 27 Aug → | ||
| 13–3 | 0.01 | 18% | 24 Aug → | ||
| 13–9 | 0.00 | 31% | 24 Aug → | ||
| 13–7 | 0.02 | 28% | 23 Aug → | ||
| 13–3 | 0.08 | 32% | 23 Aug → | ||
| 13–7 | -0.03 | 33% | 23 Aug → | ||
| 13–10 | -0.00 | 21% | 23 Aug → | ||
| 9–13 | 0.05 | 16% | 22 Aug → | ||
| 11–13 | -0.00 | 30% | 22 Aug → | ||
| 13–8 | -0.06 | 16% | 20 Aug → | ||
| 13–7 | 0.05 | 24% | 20 Aug → | ||
| 8–13 | -0.02 | 17% | 17 Aug → | ||
| 16–12 | 0.02 | 31% | 17 Aug → | ||
| 11–13 | -0.02 | 24% | 17 Aug → | ||
| 13–7 | 0.09 | 24% | 16 Aug → | ||
| 13–2 | 0.06 | 23% | 16 Aug → | ||
| 9–13 | 0.01 | 25% | 13 Aug → | ||
| 6–13 | -0.07 | 19% | 13 Aug → | ||
| 13–4 | -0.01 | 30% | 12 Aug → | ||
| 13–6 | -0.03 | 19% | 12 Aug → | ||
| 7–13 | 0.06 | 28% | 11 Jun → | ||
| 16–14 | 0.04 | 34% | 26 May → | ||
| 13–3 | 0.12 | 17% | 7 May → | ||
| 13–4 | 0.05 | 24% | 21 Apr → | ||
| 16–19 | 0.02 | 25% | 3 Mar → | ||
| 9–13 | -0.02 | 22% | 3 Mar → | ||
| 4–13 | -0.02 | 20% | 3 Mar → | ||
| 9–13 | 0.04 | 33% | 3 Mar → | ||
| 16–12 | -0.00 | 32% | 2 Mar → | ||
| 10–13 | -0.03 | 23% | 2 Mar → | ||
| 19–16 | 0.02 | 23% | 2 Mar → | ||
| 13–8 | 0.00 | 14% | 2 Mar → | ||
| 13–9 | 0.03 | 19% | 2 Mar → | ||
| 5–13 | 0.00 | 33% | 2 Mar → | ||
| 6–13 | -0.08 | 12% | 1 Mar → | ||
| 13–8 | -0.02 | 23% | 28 Feb → | ||
| 1–13 | -0.08 | 6% | 27 Feb → | ||
| 4–13 | -0.03 | 17% | 25 Feb → | ||
| 6–13 | 0.04 | 33% | 25 Feb → | ||
| 4–13 | -0.05 | 19% | 21 Feb → | ||
| 16–14 | 0.02 | 26% | 21 Feb → | ||
| 9–13 | -0.02 | 18% | 21 Feb → | ||
| 13–10 | -0.00 | 6% | 21 Feb → | ||
| 13–9 | 0.07 | 20% | 21 Feb → | ||
| 13–10 | 0.12 | 28% | 20 Feb → | ||
| 13–2 | 0.16 | 40% | 20 Feb → | ||
| 13–9 | 0.04 | 18% | 19 Feb → | ||
| 13–7 | 0.09 | 23% | 19 Feb → | ||
| 13–7 | -0.08 | 16% | 18 Feb → | ||
| 13–9 | -0.00 | 34% | 17 Feb → | ||
| 6–13 | -0.02 | 29% | 17 Feb → | ||
| 11–13 | -0.06 | 18% | 17 Feb → | ||
| 6–13 | -0.03 | 21% | 16 Feb → | ||
| 4–13 | -0.02 | 26% | 16 Feb → | ||
| 13–16 | -0.02 | 10% | 15 Feb → | ||
| 13–11 | 0.03 | 25% | 15 Feb → | ||
| 13–3 | -0.02 | 40% | 15 Feb → | ||
| 13–16 | 0.04 | 28% | 15 Feb → | ||
| 11–13 | 0.04 | 28% | 15 Feb → | ||
| 15–19 | 0.04 | 17% | 14 Feb → | ||
| 9–13 | -0.02 | 19% | 14 Feb → | ||
| 4–9 | -0.04 | 7% | 10 Feb → | ||
| 4–13 | 0.01 | 14% | 4 Feb → | ||
| 13–8 | -0.01 | 16% | 4 Feb → | ||
| 13–7 | 0.02 | 11% | 2 Feb → | ||
| 12–16 | -0.02 | 18% | 1 Feb → | ||
| 9–13 | -0.01 | 33% | 1 Feb → | ||
| 9–13 | 0.02 | 24% | 31 Jan → | ||
| 16–13 | 0.03 | 19% | 31 Jan → | ||
| 9–13 | -0.02 | 31% | 31 Jan → | ||
| 8–13 | -0.05 | 21% | 31 Jan → | ||
| 11–13 | 0.00 | 19% | 31 Jan → | ||
| 9–13 | -0.01 | 23% | 29 Jan → | ||
| 13–9 | 0.09 | 22% | 29 Jan → | ||
| 13–5 | -0.01 | 16% | 29 Jan → | ||
| 13–16 | 0.03 | 14% | 27 Jan → | ||
| 13–9 | 0.07 | 20% | 27 Jan → | ||
| 13–6 | 0.10 | 32% | 27 Jan → | ||
| 4–13 | -0.03 | 4% | 26 Jan → | ||
| 13–10 | -0.00 | 26% | 26 Jan → | ||
| 14–16 | 0.01 | 25% | 26 Jan → | ||
| 13–10 | -0.02 | 14% | 24 Jan → | ||
| 7–13 | 0.03 | 28% | 24 Jan → | ||
| 13–5 | 0.07 | 23% | 24 Jan → | ||
| 8–13 | -0.02 | 19% | 22 Jan → | ||
| 13–11 | 0.04 | 17% | 22 Jan → | ||
| 13–9 | 0.01 | 19% | 22 Jan → | ||
| 7–13 | 0.00 | 37% | 22 Jan → | ||
| 7–13 | -0.05 | 24% | 22 Jan → | ||
| 4–13 | -0.02 | 23% | 22 Jan → | ||
| 9–13 | -0.03 | 11% | 22 Jan → | ||
| 13–4 | 0.00 | 0% | 22 Jan → | ||
| 28–26 | 0.02 | 24% | 21 Jan → | ||
| 10–13 | -0.02 | 29% | 20 Jan → | ||
| 7–13 | -0.00 | 15% | 20 Jan → | ||
| 8–13 | -0.04 | 19% | 19 Jan → | ||
| 7–13 | -0.02 | 15% | 19 Jan → | ||
| 13–16 | -0.08 | 17% | 18 Jan → | ||
| 4–13 | -0.04 | 42% | 18 Jan → | ||
| 16–14 | 0.00 | 26% | 17 Jan → |
Match data via Leetify.