YUNG — CS2 Stats
76561198017993491[U:1:57727763]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 ZywOo 89% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
T-side openings. Opening success drops from 59% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 6.0/10 (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 | 23 | 13–10 | 57% | 0.00 | |
| A | 22 | 13–9 | 59% | 0.01 | |
| S | 15 | 11–4 | 73% | 0.03 | |
| S | 10 | 7–3 | 70% | -0.00 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| cache_b | — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 188 | 49% | 1.10 | 17.2 |
| Dust2 | 150 | 53% | 1.06 | 17.4 |
| Ancient | 148 | 57% | 1.14 | 18.0 |
| Inferno | 141 | 51% | 1.13 | 17.3 |
| Anubis | 120 | 49% | 1.12 | 16.6 |
| Nuke | 87 | 48% | 1.10 | 18.3 |
| Vertigo | 41 | 46% | 1.09 | 18.2 |
| Overpass | 30 | 37% | 1.04 | 16.5 |
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 38.8952% — 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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.04 | 18% | 18 Aug → | ||
| 13–9 | 0.01 | 26% | 18 Aug → | ||
| 16–14 | -0.05 | 12% | 11 Aug → | ||
| 11–13 | 0.03 | 19% | 8 Aug → | ||
| 13–7 | 0.05 | 21% | 7 Aug → | ||
| 13–3 | 0.06 | 21% | 7 Aug → | ||
| 2–13 | -0.02 | 31% | 7 Aug → | ||
| 13–11 | 0.06 | 17% | 1 Aug → | ||
| 9–13 | -0.05 | 11% | 31 Jul → | ||
| 16–12 | 0.04 | 10% | 28 Jul → | ||
| 16–13 | 0.03 | 23% | 28 Jul → | ||
| 13–5 | 0.03 | 27% | 28 Jul → | ||
| 6–13 | -0.03 | 14% | 28 Jul → | ||
| 14–16 | -0.03 | 23% | 27 Jul → | ||
| 13–8 | 0.00 | 22% | 27 Jul → | ||
| 16–12 | 0.05 | 19% | 26 Jul → | ||
| 13–11 | -0.02 | 20% | 23 Jul → | ||
| 13–8 | 0.09 | 27% | 22 Jul → | ||
| 21–25 | 0.02 | 22% | 21 Jul → | ||
| 13–10 | 0.01 | 18% | 21 Jul → | ||
| 9–13 | -0.03 | 20% | 21 Jul → | ||
| 11–13 | -0.02 | 26% | 15 Jul → | ||
| 13–4 | 0.13 | 20% | 12 Jul → | ||
| 13–4 | 0.05 | 16% | 12 Jul → | ||
| 13–7 | 0.04 | 17% | 12 Jul → | ||
| 5–13 | 0.05 | 17% | 12 Jul → | ||
| 15–15 | 0.00 | 15% | 9 Jul → | ||
| 16–14 | 0.01 | 19% | 8 Jul → | ||
| 11–13 | 0.03 | 13% | 5 Jul → | ||
| 13–7 | 0.02 | 20% | 4 Jul → | ||
| 13–9 | 0.03 | 12% | 3 Jul → | ||
| 13–7 | 0.06 | 15% | 2 Jul → | ||
| 13–7 | 0.01 | 21% | 2 Jul → | ||
| 7–13 | -0.02 | 8% | 1 Jul → | ||
| 13–0 | -0.02 | 23% | 30 Jun → | ||
| 13–10 | 0.01 | 21% | 30 Jun → | ||
| 13–9 | 0.03 | 16% | 23 Jun → | ||
| 10–13 | 0.04 | 14% | 22 Jun → | ||
| 5–13 | -0.07 | 14% | 22 Jun → | ||
| 13–7 | -0.02 | 28% | 13 Jun → | ||
| 11–13 | -0.04 | 13% | 11 Jun → | ||
| 6–13 | 0.00 | 21% | 1 Jun → | ||
| 10–13 | -0.01 | 14% | 25 May → | ||
| 13–8 | 0.05 | 16% | 25 May → | ||
| 9–13 | -0.06 | 41% | 14 May → | ||
| 13–11 | -0.05 | 25% | 13 May → | ||
| 13–6 | 0.01 | 23% | 10 Apr → | ||
| 13–8 | 0.07 | 26% | 31 Mar → | ||
| 13–6 | 0.03 | 24% | 31 Mar → | ||
| 5–13 | -0.04 | 18% | 29 Mar → | ||
| 16–14 | 0.00 | 20% | 25 Mar → | ||
| 13–8 | -0.03 | 23% | 23 Mar → | ||
| 16–12 | 0.01 | 38% | 21 Mar → | ||
| 13–1 | 0.02 | 15% | 21 Mar → | ||
| 13–11 | -0.00 | 21% | 20 Mar → | ||
| 9–13 | 0.01 | 12% | 6 Mar → | ||
| 13–5 | 0.08 | 16% | 6 Mar → | ||
| 12–16 | -0.00 | 14% | 27 Feb → | ||
| 11–13 | 0.03 | 26% | 22 Feb → | ||
| 8–13 | -0.00 | 6% | 21 Feb → | ||
| 13–16 | 0.03 | 16% | 17 Feb → | ||
| 13–11 | 0.03 | 20% | 16 Feb → | ||
| 8–13 | -0.02 | 15% | 16 Feb → | ||
| 13–2 | 0.04 | 20% | 16 Feb → | ||
| 13–3 | 0.01 | 14% | 13 Feb → | ||
| 10–13 | 0.03 | 15% | 11 Feb → | ||
| 9–13 | -0.02 | 8% | 11 Feb → | ||
| 8–13 | -0.03 | 10% | 11 Feb → | ||
| 9–13 | -0.07 | 19% | 11 Feb → | ||
| 8–13 | -0.01 | 17% | 10 Feb → | ||
| 13–8 | 0.05 | 12% | 10 Feb → | ||
| 13–6 | 0.03 | 10% | 10 Feb → | ||
| 13–11 | -0.02 | 25% | 9 Feb → | ||
| 16–13 | -0.03 | 17% | 9 Feb → | ||
| 13–10 | 0.11 | 19% | 8 Feb → | ||
| 16–14 | 0.00 | 15% | 7 Feb → | ||
| 13–8 | -0.07 | 7% | 6 Feb → | ||
| 13–9 | 0.09 | 32% | 5 Feb → | ||
| 8–13 | 0.05 | 18% | 5 Feb → | ||
| 5–13 | 0.02 | 25% | 4 Feb → | ||
| 13–10 | -0.02 | 17% | 4 Feb → | ||
| 13–7 | 0.09 | 18% | 1 Feb → | ||
| 13–9 | -0.03 | 12% | 1 Feb → | ||
| 13–9 | -0.00 | 13% | 31 Jan → | ||
| 13–9 | 0.05 | 14% | 30 Jan → | ||
| 13–11 | 0.04 | 19% | 30 Jan → | ||
| 13–5 | 0.14 | 23% | 30 Jan → | ||
| 13–2 | 0.00 | 10% | 30 Jan → | ||
| 13–11 | 0.01 | 31% | 30 Jan → | ||
| 7–13 | -0.03 | 14% | 29 Jan → | ||
| 13–6 | 0.06 | 15% | 29 Jan → | ||
| 10–13 | -0.09 | 13% | 28 Jan → | ||
| 13–1 | 0.09 | 10% | 28 Jan → | ||
| 5–13 | -0.07 | 15% | 28 Jan → | ||
| 10–13 | 0.01 | 22% | 27 Jan → | ||
| 10–13 | -0.01 | 17% | 27 Jan → | ||
| cache_b | 13–3 | 0.06 | 26% | 27 Jan → | |
| 16–14 | 0.07 | 17% | 27 Jan → | ||
| 13–8 | 0.02 | 14% | 27 Jan → | ||
| 2–13 | -0.05 | 26% | 27 Jan → |
Match data via Leetify.