amogus667 — CS2 Stats
BE76561198261681949[U:1:301416221]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 42.6% | 44.2% | 47.1% | 4.5% short |
| Shot accuracy | 2.1% | 11.6% | 12.8% | 10.7% short |
| Kill/death ratio | 0.84 | 1.03 | 1.08 | 0.24 short |
| Match win rate | 43.7% | 45.2% | 46.6% | 2.9% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. 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: +10pp win rate · -0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 89% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution.
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 86 — the mechanical foundation is a clear strength.
CT openings. 68% 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 68% on CT to 43% 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 7.4/10 (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 |
|---|---|---|---|---|---|
| S | 20 | 15–5 | 75% | 0.04 | |
| A | 19 | 11–8 | 58% | 0.05 | |
| A | 15 | 9–6 | 60% | 0.05 | |
| B | 13 | 6–7 | 46% | 0.06 | |
| A | 12 | 7–5 | 58% | 0.06 | |
| A | 8 | 5–3 | 63% | 0.05 | |
| S | 7 | 6–1 | 86% | 0.09 | |
| — | 3 | 2–1 | 67% | 0.05 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| — | 1 | 0–1 | 0% | 0.22 |
Across the last 100 tracked matches.
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4272 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | -0.03 | 4% | 30 Aug → | ||
| 10–13 | 0.02 | 7% | 30 Aug → | ||
| 13–3 | 0.06 | 13% | 29 Aug → | ||
| 10–13 | 0.03 | 22% | 29 Aug → | ||
| 13–6 | 0.01 | 17% | 28 Aug → | ||
| 12–12 | 0.14 | 13% | 28 Aug → | ||
| 13–3 | 0.10 | 12% | 28 Aug → | ||
| 13–10 | 0.06 | 10% | 27 Aug → | ||
| 13–11 | 0.02 | 17% | 24 Aug → | ||
| 13–9 | 0.09 | 12% | 23 Aug → | ||
| 13–2 | 0.16 | 26% | 23 Aug → | ||
| 13–4 | 0.13 | 13% | 21 Aug → | ||
| 13–6 | 0.13 | 10% | 21 Aug → | ||
| 9–13 | -0.04 | 19% | 20 Aug → | ||
| 13–8 | 0.03 | 16% | 20 Aug → | ||
| 6–13 | 0.07 | 11% | 16 Aug → | ||
| 12–1 | 0.05 | 21% | 16 Aug → | ||
| 12–12 | 0.22 | 13% | 16 Aug → | ||
| 13–8 | 0.11 | 23% | 15 Aug → | ||
| 9–13 | 0.04 | 12% | 15 Aug → | ||
| 3–13 | -0.09 | 15% | 14 Aug → | ||
| 13–8 | 0.11 | 17% | 14 Aug → | ||
| 4–13 | 0.01 | 13% | 14 Aug → | ||
| 11–13 | -0.02 | 20% | 13 Aug → | ||
| 13–2 | 0.10 | 31% | 13 Aug → | ||
| 13–4 | 0.13 | 24% | 12 Aug → | ||
| 13–1 | 0.05 | 16% | 12 Aug → | ||
| 12–12 | 0.06 | 19% | 12 Aug → | ||
| 13–8 | -0.06 | 20% | 11 Aug → | ||
| 15–15 | 0.06 | 10% | 11 Aug → | ||
| 9–4 | 0.17 | 10% | 11 Aug → | ||
| 0–9 | -0.21 | 0% | 11 Aug → | ||
| 9–3 | 0.17 | 21% | 11 Aug → | ||
| 9–13 | 0.05 | 27% | 10 Aug → | ||
| 15–15 | 0.00 | 21% | 10 Aug → | ||
| 13–7 | 0.08 | 11% | 9 Aug → | ||
| 13–3 | 0.08 | 18% | 9 Aug → | ||
| 13–3 | 0.08 | 27% | 9 Aug → | ||
| 8–1 | 0.11 | 17% | 9 Aug → | ||
| 9–13 | 0.02 | 15% | 8 Aug → | ||
| 13–3 | 0.01 | 9% | 8 Aug → | ||
| 13–8 | 0.03 | 13% | 8 Aug → | ||
| 13–7 | 0.01 | 24% | 8 Aug → | ||
| 9–13 | -0.06 | 12% | 6 Aug → | ||
| 13–8 | 0.08 | 13% | 6 Aug → | ||
| 11–13 | -0.03 | 16% | 6 Aug → | ||
| 11–13 | 0.02 | 14% | 4 Aug → | ||
| 4–13 | -0.00 | 3% | 4 Aug → | ||
| 13–7 | 0.07 | 24% | 4 Aug → | ||
| 13–11 | 0.07 | 14% | 4 Aug → | ||
| 10–13 | 0.10 | 26% | 3 Aug → | ||
| 3–13 | 0.00 | 13% | 3 Aug → | ||
| 13–11 | 0.03 | 8% | 3 Aug → | ||
| 13–2 | 0.03 | 18% | 3 Aug → | ||
| 12–12 | 0.09 | 9% | 2 Aug → | ||
| 13–3 | -0.00 | 20% | 2 Aug → | ||
| 13–7 | 0.11 | 11% | 2 Aug → | ||
| 15–15 | 0.02 | 19% | 2 Aug → | ||
| 2–13 | 0.04 | 29% | 2 Aug → | ||
| 16–14 | -0.01 | 17% | 1 Aug → | ||
| 13–2 | 0.09 | 13% | 1 Aug → | ||
| 13–8 | -0.02 | 13% | 1 Aug → | ||
| 10–13 | 0.03 | 11% | 31 Jul → | ||
| 4–13 | 0.04 | 24% | 31 Jul → | ||
| 10–13 | -0.08 | 14% | 31 Jul → | ||
| 13–11 | -0.02 | 15% | 30 Jul → | ||
| 13–9 | 0.01 | 28% | 30 Jul → | ||
| 13–5 | -0.00 | 9% | 30 Jul → | ||
| 4–13 | -0.03 | 8% | 30 Jul → | ||
| 13–9 | 0.07 | 10% | 30 Jul → | ||
| 11–13 | 0.05 | 14% | 29 Jul → | ||
| 10–13 | 0.13 | 13% | 28 Jul → | ||
| 8–13 | 0.07 | 15% | 28 Jul → | ||
| 11–13 | 0.06 | 17% | 28 Jul → | ||
| 13–5 | 0.02 | 20% | 27 Jul → | ||
| 13–4 | 0.20 | 18% | 27 Jul → | ||
| 13–4 | 0.16 | 12% | 26 Jul → | ||
| 10–13 | -0.02 | 13% | 26 Jul → | ||
| 13–6 | -0.04 | 15% | 26 Jul → | ||
| 13–4 | 0.09 | 11% | 26 Jul → | ||
| 13–10 | 0.04 | 15% | 26 Jul → | ||
| 13–2 | 0.04 | 8% | 25 Jul → | ||
| 13–9 | 0.10 | 23% | 25 Jul → | ||
| 13–1 | 0.09 | 19% | 25 Jul → | ||
| 13–11 | 0.05 | 17% | 24 Jul → | ||
| 9–13 | -0.02 | 12% | 24 Jul → | ||
| 13–7 | 0.00 | 16% | 24 Jul → | ||
| 13–11 | 0.17 | 16% | 23 Jul → | ||
| 6–13 | 0.03 | 22% | 23 Jul → | ||
| 7–13 | 0.06 | 9% | 23 Jul → | ||
| 0–6 | -0.05 | 0% | 23 Jul → | ||
| 13–2 | 0.19 | 8% | 23 Jul → | ||
| 13–1 | 0.13 | 5% | 22 Jul → | ||
| 13–11 | 0.12 | 17% | 22 Jul → | ||
| 13–7 | 0.07 | 16% | 22 Jul → | ||
| 13–11 | 0.12 | 13% | 20 Jul → | ||
| 13–6 | 0.07 | 27% | 20 Jul → | ||
| 13–1 | 0.14 | 14% | 20 Jul → | ||
| 13–11 | 0.10 | 18% | 20 Jul → | ||
| 13–3 | 0.20 | 19% | 17 Jul → |
Match data via Leetify.