YANmega — CS2 Stats
76561198156659295[U:1:196393567]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 33.2% | 48.1% | 14.9% short |
| Shot accuracy | 17.1% | 12.9% | above |
| Kill/death ratio | 1.09 | 1.08 | meets |
| Match win rate | 44.8% | 46.5% | 1.7% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, 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 87 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 62% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 567ms 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 7.2/10 (Strong), 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 | 46 | 28–18 | 61% | 0.03 | |
| S | 17 | 11–6 | 65% | 0.03 | |
| B | 15 | 7–8 | 47% | 0.03 | |
| C | 8 | 3–5 | 38% | 0.00 | |
| D | 8 | 1–7 | 13% | -0.01 | |
| — | 3 | 0–3 | 0% | -0.01 | |
| — | 2 | 0–2 | 0% | -0.04 | |
| — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 85 | 60% | 1.26 | 16.7 |
| Ancient | 52 | 35% | 1.09 | 15.4 |
| Nuke | 21 | 38% | 0.89 | 14.3 |
| Overpass | 13 | 85% | 1.11 | 16.9 |
| Vertigo | 12 | 33% | 1.00 | 14.9 |
| Inferno | 7 | 43% | 0.88 | 12.6 |
| Anubis | 7 | 43% | 1.00 | 16.3 |
| Cache | 2 | 100% | 1.63 | 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.07 | 17% | 22 Aug → | ||
| 13–8 | 0.06 | 28% | 22 Aug → | ||
| 13–10 | 0.11 | 18% | 22 Aug → | ||
| 13–6 | 0.02 | 13% | 16 Aug → | ||
| 13–11 | 0.05 | 20% | 10 Aug → | ||
| 6–13 | 0.02 | 20% | 9 Aug → | ||
| 7–13 | -0.01 | 18% | 9 Aug → | ||
| 13–1 | 0.09 | 14% | 2 Aug → | ||
| 13–8 | 0.05 | 14% | 27 Jul → | ||
| 13–6 | 0.12 | 31% | 26 Jul → | ||
| 15–15 | 0.04 | 24% | 26 Jul → | ||
| 7–13 | -0.00 | 27% | 23 Jul → | ||
| 12–16 | 0.02 | 21% | 22 Jul → | ||
| 13–3 | 0.17 | 16% | 22 Jul → | ||
| 5–13 | 0.01 | 0% | 21 Jul → | ||
| 13–4 | 0.07 | 23% | 20 Jul → | ||
| 13–4 | 0.03 | 18% | 20 Jul → | ||
| 14–16 | 0.02 | 21% | 20 Jul → | ||
| 13–2 | 0.07 | 6% | 16 Jul → | ||
| 14–16 | -0.04 | 20% | 16 Jul → | ||
| 13–10 | 0.00 | 13% | 13 Jul → | ||
| 11–13 | 0.04 | 23% | 13 Jul → | ||
| 13–4 | 0.22 | 17% | 12 Jul → | ||
| 13–10 | 0.05 | 6% | 12 Jul → | ||
| 1–13 | -0.06 | 6% | 12 Jul → | ||
| 13–9 | 0.03 | 18% | 12 Jul → | ||
| 9–13 | 0.08 | 11% | 11 Jul → | ||
| 11–13 | 0.03 | 14% | 11 Jul → | ||
| 13–10 | 0.09 | 14% | 11 Jul → | ||
| 13–11 | 0.06 | 17% | 11 Jul → | ||
| 11–13 | 0.06 | 7% | 11 Jul → | ||
| 6–13 | -0.03 | 11% | 11 Jul → | ||
| 13–3 | 0.04 | 18% | 7 Jul → | ||
| 1–13 | -0.05 | 21% | 5 Jul → | ||
| 7–13 | -0.04 | 31% | 29 Jun → | ||
| 13–7 | 0.13 | 25% | 28 Jun → | ||
| 13–3 | 0.11 | 19% | 28 Jun → | ||
| 13–7 | 0.01 | 21% | 28 Jun → | ||
| 13–11 | 0.03 | 11% | 28 Jun → | ||
| 12–12 | -0.05 | 23% | 28 Jun → | ||
| 4–13 | -0.03 | 17% | 27 Jun → | ||
| 13–10 | 0.10 | 17% | 27 Jun → | ||
| 13–9 | 0.04 | 14% | 27 Jun → | ||
| 13–10 | -0.01 | 23% | 8 Jun → | ||
| 8–13 | 0.02 | 22% | 7 Jun → | ||
| 13–6 | -0.06 | 11% | 7 Jun → | ||
| 11–4 | 0.04 | 24% | 7 Jun → | ||
| 9–13 | 0.09 | 36% | 7 Jun → | ||
| 8–13 | -0.05 | 13% | 3 Jun → | ||
| 13–7 | 0.06 | 29% | 25 May → | ||
| 10–13 | -0.06 | 11% | 14 May → | ||
| 14–16 | -0.02 | 13% | 7 May → | ||
| 8–13 | -0.03 | 22% | 30 Apr → | ||
| 13–3 | 0.04 | 22% | 30 Apr → | ||
| 13–5 | -0.05 | 5% | 28 Apr → | ||
| 7–13 | -0.06 | 6% | 28 Apr → | ||
| 6–13 | -0.07 | 15% | 24 Apr → | ||
| 13–11 | 0.08 | 30% | 24 Apr → | ||
| 10–13 | 0.03 | 17% | 23 Apr → | ||
| 10–13 | -0.05 | 13% | 16 Apr → | ||
| 10–13 | -0.06 | 13% | 16 Apr → | ||
| 8–13 | -0.04 | 17% | 14 Apr → | ||
| 13–8 | -0.01 | 36% | 14 Apr → | ||
| 13–10 | 0.03 | 32% | 9 Apr → | ||
| 13–8 | -0.02 | 24% | 8 Apr → | ||
| 13–2 | -0.02 | 40% | 8 Apr → | ||
| 13–3 | 0.06 | 33% | 7 Apr → | ||
| 13–11 | 0.03 | 31% | 7 Apr → | ||
| 10–13 | -0.00 | 11% | 30 Mar → | ||
| 13–5 | 0.05 | 19% | 30 Mar → | ||
| 13–3 | 0.08 | 17% | 29 Mar → | ||
| 8–13 | -0.04 | 7% | 21 Mar → | ||
| 2–13 | -0.04 | 17% | 19 Mar → | ||
| 13–6 | 0.00 | 13% | 18 Mar → | ||
| 8–13 | 0.04 | 26% | 18 Mar → | ||
| 8–13 | 0.06 | 19% | 9 Mar → | ||
| 13–4 | 0.04 | 25% | 9 Mar → | ||
| 13–9 | 0.01 | 10% | 8 Mar → | ||
| 15–15 | 0.04 | 23% | 8 Mar → | ||
| 13–4 | 0.02 | 21% | 8 Mar → | ||
| 13–7 | 0.04 | 14% | 7 Mar → | ||
| 13–16 | 0.00 | 10% | 3 Mar → | ||
| 9–13 | -0.03 | 16% | 1 Mar → | ||
| 14–16 | -0.03 | 14% | 1 Mar → | ||
| 7–13 | 0.05 | 16% | 1 Mar → | ||
| 13–11 | 0.06 | 12% | 28 Feb → | ||
| 13–11 | -0.01 | 14% | 28 Feb → | ||
| 10–13 | -0.05 | 13% | 27 Feb → | ||
| 9–13 | -0.05 | 10% | 26 Feb → | ||
| 11–13 | -0.00 | 27% | 25 Feb → | ||
| 13–5 | 0.06 | 18% | 25 Feb → | ||
| 4–13 | -0.03 | 21% | 24 Feb → | ||
| 10–13 | 0.02 | 14% | 24 Feb → | ||
| 13–4 | -0.01 | 13% | 23 Feb → | ||
| 8–13 | -0.01 | 5% | 22 Feb → | ||
| 13–6 | -0.02 | 19% | 22 Feb → | ||
| 6–13 | -0.02 | 4% | 22 Feb → | ||
| 13–7 | 0.03 | 21% | 21 Feb → | ||
| 6–13 | -0.02 | 46% | 21 Feb → | ||
| 10–13 | 0.02 | 20% | 21 Feb → |
Match data via Leetify.
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