Yung Ash — CS2 Stats
CN76561198326589907[U:1:366324179]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
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 76% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower aim profile; lower 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
Areas to improve
T-side openings. Opening success drops from 41% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.
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 4.9/10 (Developing), 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 |
|---|---|---|---|---|---|
| D | 40 | 10–30 | 25% | -0.02 | |
| B | 26 | 13–13 | 50% | -0.02 | |
| C | 13 | 5–8 | 38% | -0.02 | |
| B | 12 | 6–6 | 50% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.00 | |
| — | 1 | 1–0 | 100% | 0.08 | |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (25% over 40). Start with the 6 essential Mirage 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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.5542% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.2631 — below the 4 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 0% — 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.
25% win rate across 40 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.04 | 20% | 6 Sept → | ||
| 10–13 | -0.00 | 28% | 6 Sept → | ||
| 13–6 | -0.05 | 13% | 6 Sept → | ||
| 5–13 | -0.10 | 23% | 6 Sept → | ||
| 15–15 | -0.00 | 14% | 6 Sept → | ||
| 4–3 | 0.06 | 25% | 6 Sept → | ||
| 13–2 | 0.01 | 17% | 6 Sept → | ||
| 8–13 | -0.02 | 17% | 6 Sept → | ||
| 8–16 | -0.00 | 19% | 1 Sept → | ||
| 6–16 | -0.02 | 24% | 28 Aug → | ||
| 16–13 | 0.03 | 20% | 28 Aug → | ||
| 15–15 | 0.03 | 14% | 25 Aug → | ||
| 13–16 | -0.00 | 4% | 20 Aug → | ||
| 14–16 | -0.04 | 14% | 19 Aug → | ||
| 16–14 | -0.02 | 12% | 19 Aug → | ||
| 10–16 | -0.03 | 10% | 19 Aug → | ||
| 16–1 | 0.05 | 9% | 19 Aug → | ||
| 15–15 | 0.02 | 12% | 18 Aug → | ||
| 16–12 | -0.02 | 12% | 18 Aug → | ||
| 11–16 | -0.03 | 7% | 17 Aug → | ||
| 10–16 | -0.07 | 14% | 17 Aug → | ||
| 8–16 | -0.09 | 7% | 16 Aug → | ||
| 16–11 | -0.01 | 11% | 15 Aug → | ||
| 15–15 | 0.02 | 19% | 15 Aug → | ||
| 16–12 | 0.01 | 22% | 15 Aug → | ||
| 16–8 | -0.04 | 8% | 14 Aug → | ||
| 5–16 | -0.03 | 12% | 14 Aug → | ||
| 16–7 | 0.03 | 17% | 14 Aug → | ||
| 4–16 | -0.01 | 16% | 13 Aug → | ||
| 9–16 | -0.07 | 10% | 13 Aug → | ||
| 9–16 | 0.06 | 22% | 10 Aug → | ||
| 13–16 | -0.02 | 18% | 9 Aug → | ||
| 7–16 | -0.07 | 24% | 8 Aug → | ||
| 14–16 | 0.06 | 19% | 7 Aug → | ||
| 14–16 | -0.06 | 4% | 7 Aug → | ||
| 12–16 | 0.02 | 10% | 7 Aug → | ||
| 16–9 | -0.03 | 18% | 7 Aug → | ||
| 5–16 | -0.07 | 15% | 3 Aug → | ||
| 8–16 | -0.07 | 23% | 2 Aug → | ||
| 16–14 | -0.04 | 15% | 1 Aug → | ||
| 16–11 | 0.00 | 20% | 1 Aug → | ||
| 9–16 | -0.01 | 17% | 29 Jul → | ||
| 11–16 | -0.04 | 22% | 28 Jul → | ||
| 3–16 | -0.01 | 19% | 26 Jul → | ||
| 16–14 | 0.05 | 35% | 24 Jul → | ||
| 8–16 | 0.00 | 14% | 20 Jul → | ||
| 12–16 | 0.01 | 19% | 18 Jul → | ||
| 4–16 | -0.06 | 28% | 7 Jul → | ||
| 9–16 | 0.03 | 21% | 6 Jul → | ||
| 8–16 | -0.05 | 18% | 6 Jul → | ||
| 16–8 | -0.01 | 13% | 5 Jul → | ||
| 13–16 | -0.06 | 11% | 4 Jul → | ||
| 16–6 | 0.08 | 13% | 4 Jul → | ||
| 13–16 | -0.07 | 13% | 3 Jul → | ||
| 16–11 | 0.03 | 12% | 2 Jul → | ||
| 16–14 | 0.03 | 23% | 1 Jul → | ||
| 11–16 | -0.03 | 10% | 1 Jul → | ||
| 16–8 | 0.02 | 8% | 28 Jun → | ||
| 13–16 | 0.03 | 24% | 27 Jun → | ||
| 11–16 | -0.09 | 21% | 25 Jun → | ||
| 16–5 | -0.04 | 16% | 25 Jun → | ||
| 11–16 | -0.02 | 18% | 23 Jun → | ||
| 16–12 | 0.05 | 12% | 21 Jun → | ||
| 5–16 | -0.10 | 16% | 18 Jun → | ||
| 10–16 | -0.03 | 8% | 17 Jun → | ||
| 13–16 | -0.03 | 11% | 13 Jun → | ||
| 16–13 | -0.00 | 13% | 12 Jun → | ||
| 16–6 | 0.02 | 17% | 12 Jun → | ||
| 11–16 | -0.08 | 11% | 9 Jun → | ||
| 5–16 | -0.00 | 10% | 8 Jun → | ||
| 15–15 | -0.02 | 25% | 8 Jun → | ||
| 9–16 | -0.04 | 12% | 6 Jun → | ||
| 16–9 | 0.02 | 17% | 5 Jun → | ||
| 3–16 | -0.01 | 22% | 5 Jun → | ||
| 16–12 | 0.00 | 14% | 4 Jun → | ||
| 16–3 | 0.01 | 17% | 3 Jun → | ||
| 16–12 | 0.07 | 18% | 3 Jun → | ||
| 9–16 | -0.01 | 9% | 3 Jun → | ||
| 16–5 | 0.03 | 24% | 2 Jun → | ||
| 13–16 | -0.03 | 18% | 2 Jun → | ||
| 13–16 | -0.03 | 20% | 2 Jun → | ||
| 16–7 | -0.03 | 19% | 1 Jun → | ||
| 12–16 | -0.07 | 16% | 1 Jun → | ||
| 16–13 | 0.01 | 19% | 1 Jun → | ||
| 16–9 | 0.03 | 15% | 31 May → | ||
| 16–11 | -0.01 | 16% | 30 May → | ||
| 12–16 | -0.07 | 16% | 30 May → | ||
| 7–16 | -0.05 | 17% | 29 May → | ||
| 7–16 | -0.03 | 16% | 26 May → | ||
| 14–16 | 0.01 | 17% | 26 May → | ||
| 7–16 | -0.05 | 18% | 25 May → | ||
| 4–16 | -0.01 | 15% | 25 May → | ||
| 16–11 | -0.03 | 11% | 25 May → | ||
| 14–16 | -0.03 | 14% | 24 May → | ||
| 16–5 | 0.04 | 13% | 24 May → | ||
| 15–15 | 0.04 | 17% | 24 May → | ||
| 11–16 | 0.00 | 15% | 24 May → | ||
| 13–16 | -0.04 | 18% | 24 May → | ||
| 16–13 | 0.01 | 21% | 23 May → | ||
| 9–2 | 0.03 | 21% | 23 May → |
Match data via Leetify.