Sketcho — CS2 Stats
UY76561198062456687[U:1:102190959]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | 49.1% | 51.9% |
| Shot accuracy | 17.3% | 13.7% |
| Kill/death ratio | 1.56 | 1.08 |
| Match win rate | 47.5% | 48.7% |
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashesReliable in 1v1s
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: utility contribution, opening-fight frequency.
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
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.
Reaction time. 601ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
| A | 20 | 12–8 | 60% | 0.06 | |
| B | 18 | 9–9 | 50% | 0.02 | |
| B | 15 | 8–7 | 53% | 0.05 | |
| C | 13 | 5–8 | 38% | 0.04 | |
| A | 13 | 8–5 | 62% | 0.06 | |
| D | 6 | 2–4 | 33% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.12 | |
| — | 2 | 1–1 | 50% | 0.10 | |
| alpine | — | 2 | 0–2 | 0% | 0.06 |
| poseidon | — | 1 | 1–0 | 100% | 0.12 |
| debris | — | 1 | 0–1 | 0% | -0.11 |
| stronghold | — | 1 | 0–1 | 0% | 0.07 |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 25 | 40% | 1.13 | 16.6 |
| Ancient | 18 | 67% | 1.34 | 19.3 |
| Vertigo | 12 | 42% | 1.20 | 17.6 |
| Overpass | 7 | 43% | 1.23 | 20.3 |
| Inferno | 5 | 40% | 1.30 | 18.6 |
| Nuke | 5 | 80% | 2.02 | 22.4 |
| Anubis | 5 | 40% | 1.16 | 17.8 |
| Dust2 | 2 | 0% | 0.91 | 15.0 |
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.
- 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 32.5947% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 0–8 | -0.08 | 0% | 23 Aug → | ||
| 9–13 | 0.09 | 33% | 23 Aug → | ||
| 10–13 | 0.04 | 21% | 22 Aug → | ||
| 4–13 | 0.03 | 26% | 22 Aug → | ||
| 11–13 | 0.01 | 30% | 19 Aug → | ||
| 10–13 | 0.02 | 39% | 9 Aug → | ||
| 13–11 | -0.03 | 24% | 9 Aug → | ||
| 13–4 | 0.04 | 32% | 9 Aug → | ||
| 9–4 | 0.15 | 14% | 8 Aug → | ||
| poseidon | 9–5 | 0.12 | 40% | 8 Aug → | |
| debris | 5–9 | -0.11 | 20% | 8 Aug → | |
| 8–8 | -0.02 | 28% | 8 Aug → | ||
| 12–12 | 0.04 | 23% | 10 Jul → | ||
| 8–13 | 0.08 | 32% | 1 Jul → | ||
| 9–13 | 0.05 | 31% | 26 Jun → | ||
| 13–10 | 0.13 | 28% | 21 Jun → | ||
| 5–13 | 0.07 | 12% | 20 Jun → | ||
| 8–13 | -0.01 | 38% | 14 Jun → | ||
| 13–3 | 0.06 | 24% | 12 Jun → | ||
| 6–13 | 0.02 | 27% | 7 Jun → | ||
| 13–6 | 0.13 | 30% | 3 Jun → | ||
| 13–11 | 0.08 | 33% | 31 May → | ||
| 4–13 | 0.02 | 41% | 22 May → | ||
| 13–6 | 0.08 | 20% | 18 May → | ||
| 12–12 | 0.09 | 25% | 16 May → | ||
| stronghold | 9–13 | 0.07 | 24% | 15 May → | |
| alpine | 9–13 | 0.07 | 25% | 15 May → | |
| 13–10 | 0.12 | 26% | 11 May → | ||
| 13–8 | 0.05 | 25% | 9 May → | ||
| 13–11 | -0.04 | 24% | 9 May → | ||
| 7–13 | -0.09 | 24% | 9 May → | ||
| 13–5 | 0.05 | 26% | 9 May → | ||
| 3–13 | -0.08 | 24% | 7 May → | ||
| 5–13 | 0.11 | 37% | 7 May → | ||
| 13–7 | 0.02 | 24% | 7 May → | ||
| 13–11 | 0.22 | 38% | 6 May → | ||
| 13–11 | -0.01 | 30% | 4 Apr → | ||
| 11–13 | -0.05 | 33% | 4 Apr → | ||
| 10–13 | 0.01 | 22% | 4 Apr → | ||
| 13–5 | 0.10 | 32% | 29 Mar → | ||
| 13–8 | 0.09 | 23% | 29 Mar → | ||
| 13–4 | 0.17 | 35% | 21 Mar → | ||
| 13–5 | 0.11 | 32% | 21 Mar → | ||
| 2–13 | -0.00 | 29% | 21 Mar → | ||
| 11–13 | 0.08 | 14% | 13 Mar → | ||
| 5–0 | 0.02 | 0% | 13 Mar → | ||
| 13–11 | 0.05 | 20% | 13 Mar → | ||
| 8–13 | -0.05 | 28% | 12 Mar → | ||
| 7–13 | -0.02 | 41% | 12 Mar → | ||
| 12–12 | 0.02 | 13% | 22 Feb → | ||
| 13–8 | 0.03 | 22% | 22 Feb → | ||
| 5–13 | -0.06 | 17% | 22 Feb → | ||
| 13–4 | 0.07 | 30% | 16 Feb → | ||
| 9–13 | 0.09 | 23% | 16 Feb → | ||
| 9–1 | 0.09 | 46% | 15 Feb → | ||
| 9–1 | 0.26 | 18% | 15 Feb → | ||
| 12–12 | 0.02 | 18% | 14 Feb → | ||
| 5–13 | -0.00 | 40% | 14 Feb → | ||
| 12–12 | 0.08 | 17% | 14 Feb → | ||
| 12–12 | 0.04 | 33% | 8 Feb → | ||
| 7–13 | -0.01 | 22% | 8 Feb → | ||
| 13–5 | 0.15 | 50% | 8 Feb → | ||
| 13–6 | 0.04 | 19% | 7 Feb → | ||
| 12–12 | 0.08 | 27% | 7 Feb → | ||
| 13–8 | -0.01 | 28% | 7 Feb → | ||
| 13–8 | 0.03 | 14% | 7 Feb → | ||
| 13–7 | 0.07 | 26% | 6 Feb → | ||
| 7–13 | 0.04 | 28% | 6 Feb → | ||
| 13–5 | 0.09 | 18% | 6 Feb → | ||
| 7–13 | -0.02 | 19% | 5 Feb → | ||
| 12–12 | 0.07 | 22% | 5 Feb → | ||
| 13–6 | -0.00 | 22% | 5 Feb → | ||
| 7–6 | 0.08 | 31% | 4 Feb → | ||
| 6–13 | -0.01 | 16% | 1 Feb → | ||
| 5–13 | 0.13 | 19% | 1 Feb → | ||
| 13–11 | 0.05 | 22% | 1 Feb → | ||
| 13–9 | 0.18 | 26% | 31 Jan → | ||
| 13–8 | 0.13 | 26% | 31 Jan → | ||
| 13–10 | -0.01 | 17% | 31 Jan → | ||
| 13–7 | 0.11 | 21% | 30 Jan → | ||
| 13–7 | 0.08 | 22% | 30 Jan → | ||
| 13–8 | 0.04 | 16% | 29 Jan → | ||
| 13–4 | 0.04 | 26% | 29 Jan → | ||
| 14–16 | 0.03 | 28% | 29 Jan → | ||
| 13–6 | 0.02 | 36% | 29 Jan → | ||
| alpine | 11–13 | 0.06 | 22% | 28 Jan → | |
| 12–12 | 0.06 | 18% | 21 Jan → | ||
| 12–12 | 0.03 | 14% | 21 Jan → | ||
| 13–6 | 0.12 | 35% | 18 Jan → | ||
| 13–10 | 0.10 | 35% | 18 Jan → | ||
| 13–4 | 0.05 | 38% | 18 Jan → | ||
| 3–13 | -0.05 | 11% | 18 Jan → | ||
| 13–4 | -0.05 | 25% | 12 Jan → | ||
| 13–4 | 0.05 | 20% | 12 Jan → | ||
| 12–12 | -0.04 | 30% | 12 Jan → | ||
| 8–13 | 0.09 | 26% | 11 Jan → | ||
| 13–10 | 0.06 | 28% | 10 Jan → | ||
| 12–12 | 0.02 | 19% | 10 Jan → | ||
| 6–13 | 0.05 | 24% | 10 Jan → | ||
| 13–8 | 0.10 | 22% | 10 Jan → |
Match data via Leetify.
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