GenialGed — CS2 Stats
DK76561199064698128[U:1:1104432400]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | 52.5% | 44.1% | 47.2% | above |
| Shot accuracy | 11.6% | 11.4% | 12.7% | 1.1% short |
| Kill/death ratio | 1.44 | 1.03 | 1.09 | above |
| Match win rate | 62.9% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
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 · -0.03 avg rating
Player DNA
Primary style: Passive 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 NiKo 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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 47% on CT to 15% 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 5.6/10 (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 |
|---|---|---|---|---|---|
 inferno | A | 28 | 16–12 | 57% | 0.00 |
 nuke | S | 26 | 18–8 | 69% | 0.02 |
 ancient | D | 20 | 6–14 | 30% | -0.01 |
 cache | D | 12 | 3–9 | 25% | -0.02 |
 anubis | C | 9 | 4–5 | 44% | 0.02 |
 overpass | — | 3 | 2–1 | 67% | 0.03 |
 mirage | — | 1 | 0–1 | 0% | 0.01 |
 dust2 | — | 1 | 0–1 | 0% | 0.02 |
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.
- 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 15.4221% — 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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 8–13 | -0.03 | 5% | 25 Aug → | |
| nuke | 13–7 | 0.11 | 17% | 25 Aug → | |
| cache | 5–13 | -0.12 | 3% | 24 Aug → | |
| inferno | 8–13 | -0.05 | 12% | 24 Aug → | |
| cache | 13–11 | -0.02 | 9% | 24 Aug → | |
| anubis | 10–13 | 0.03 | 11% | 24 Aug → | |
| anubis | 8–13 | -0.02 | 19% | 24 Aug → | |
| nuke | 4–13 | 0.01 | 16% | 24 Aug → | |
| nuke | 13–2 | 0.03 | 15% | 24 Aug → | |
| nuke | 13–8 | -0.02 | 19% | 24 Aug → | |
| cache | 8–13 | 0.06 | 20% | 23 Aug → | |
| inferno | 13–6 | 0.06 | 26% | 23 Aug → | |
| ancient | 14–16 | -0.02 | 8% | 22 Aug → | |
| ancient | 6–13 | -0.04 | 24% | 22 Aug → | |
| inferno | 13–2 | 0.09 | 19% | 22 Aug → | |
| cache | 13–7 | 0.06 | 22% | 22 Aug → | |
| inferno | 8–13 | -0.01 | 42% | 20 Aug → | |
| nuke | 13–8 | 0.05 | 9% | 20 Aug → | |
| anubis | 13–9 | 0.02 | 12% | 20 Aug → | |
| inferno | 10–13 | -0.07 | 8% | 20 Aug → | |
| ancient | 9–13 | 0.06 | 7% | 20 Aug → | |
| inferno | 4–13 | -0.03 | 12% | 20 Aug → | |
| mirage | 9–13 | 0.01 | 21% | 20 Aug → | |
| nuke | 13–11 | 0.08 | 16% | 19 Aug → | |
| anubis | 5–13 | -0.03 | 26% | 19 Aug → | |
| cache | 7–13 | 0.02 | 15% | 19 Aug → | |
| anubis | 13–11 | 0.04 | 24% | 19 Aug → | |
| inferno | 13–11 | 0.02 | 23% | 19 Aug → | |
| anubis | 13–1 | 0.02 | 10% | 19 Aug → | |
| ancient | 13–6 | 0.02 | 16% | 19 Aug → | |
| ancient | 13–10 | 0.04 | 13% | 19 Aug → | |
| nuke | 13–6 | 0.02 | 25% | 18 Aug → | |
| cache | 8–13 | -0.09 | 38% | 15 Aug → | |
| nuke | 5–13 | 0.04 | 26% | 15 Aug → | |
| anubis | 9–13 | -0.05 | 15% | 15 Aug → | |
| inferno | 13–6 | 0.04 | 33% | 13 Aug → | |
| dust2 | 9–13 | 0.02 | 21% | 13 Aug → | |
| inferno | 13–10 | 0.02 | 10% | 11 Aug → | |
| nuke | 13–6 | 0.00 | 19% | 11 Aug → | |
| inferno | 5–2 | -0.02 | 0% | 11 Aug → | |
| ancient | 7–13 | -0.00 | 9% | 11 Aug → | |
| inferno | 11–13 | 0.03 | 32% | 10 Aug → | |
| inferno | 10–13 | -0.03 | 8% | 10 Aug → | |
| ancient | 13–9 | 0.00 | 12% | 10 Aug → | |
| ancient | 13–11 | -0.02 | 18% | 10 Aug → | |
| cache | 7–13 | 0.01 | 14% | 22 Jul → | |
| inferno | 8–13 | -0.02 | 24% | 22 Jul → | |
| cache | 1–13 | -0.06 | 14% | 21 Jul → | |
| cache | 13–6 | -0.02 | 10% | 21 Jul → | |
| nuke | 13–10 | 0.04 | 9% | 21 Jul → | |
| inferno | 13–9 | -0.06 | 19% | 21 Jul → | |
| ancient | 13–11 | -0.01 | 7% | 21 Jul → | |
| inferno | 4–13 | -0.06 | 14% | 20 Jul → | |
| ancient | 11–13 | -0.03 | 15% | 20 Jul → | |
| cache | 4–13 | -0.03 | 23% | 20 Jul → | |
| ancient | 6–13 | -0.04 | 29% | 20 Jul → | |
| nuke | 13–0 | -0.01 | 23% | 20 Jul → | |
| inferno | 13–8 | -0.03 | 15% | 20 Jul → | |
| inferno | 9–13 | -0.02 | 17% | 20 Jul → | |
| cache | 8–13 | -0.01 | 13% | 20 Jul → | |
| ancient | 6–13 | -0.01 | 39% | 20 Jul → | |
| nuke | 13–6 | 0.02 | 32% | 19 Jul → | |
| cache | 11–13 | -0.02 | 18% | 19 Jul → | |
| ancient | 5–13 | 0.02 | 12% | 19 Jul → | |
| inferno | 6–13 | 0.01 | 17% | 16 Jul → | |
| nuke | 13–10 | 0.04 | 28% | 16 Jul → | |
| nuke | 13–9 | 0.08 | 15% | 4 Jul → | |
| nuke | 13–9 | -0.05 | 18% | 4 Jul → | |
| inferno | 8–13 | -0.02 | 11% | 3 Jul → | |
| inferno | 16–14 | 0.03 | 22% | 3 Jul → | |
| nuke | 13–6 | 0.15 | 18% | 3 Jul → | |
| overpass | 13–10 | 0.00 | 26% | 2 Jul → | |
| inferno | 16–12 | -0.01 | 12% | 2 Jul → | |
| inferno | 13–10 | 0.01 | 16% | 2 Jul → | |
| nuke | 2–13 | -0.01 | 21% | 21 Jun → | |
| nuke | 9–13 | 0.01 | 18% | 21 Jun → | |
| overpass | 8–13 | -0.04 | 22% | 21 Jun → | |
| inferno | 13–9 | 0.10 | 22% | 17 Jun → | |
| inferno | 14–16 | 0.01 | 16% | 17 Jun → | |
| ancient | 13–10 | 0.02 | 16% | 16 Jun → | |
| inferno | 13–7 | -0.02 | 13% | 8 Jun → | |
| ancient | 2–13 | -0.08 | 29% | 8 Jun → | |
| inferno | 13–7 | -0.01 | 33% | 8 Jun → | |
| nuke | 13–5 | 0.06 | 9% | 8 Jun → | |
| nuke | 0–7 | -0.10 | 14% | 8 Jun → | |
| nuke | 14–16 | 0.00 | 24% | 7 Jun → | |
| inferno | 13–10 | 0.05 | 29% | 7 Jun → | |
| ancient | 9–13 | -0.01 | 20% | 7 Jun → | |
| ancient | 11–13 | -0.01 | 14% | 7 Jun → | |
| ancient | 8–13 | -0.02 | 15% | 5 Jun → | |
| nuke | 13–10 | 0.00 | 18% | 5 Jun → | |
| anubis | 13–10 | 0.11 | 20% | 4 Jun → | |
| nuke | 5–13 | -0.03 | 26% | 4 Jun → | |
| anubis | 6–13 | 0.03 | 29% | 2 Jun → | |
| nuke | 16–13 | 0.08 | 17% | 2 Jun → | |
| ancient | 4–13 | 0.00 | 16% | 2 Jun → | |
| inferno | 16–13 | 0.01 | 23% | 1 Jun → | |
| nuke | 13–5 | 0.05 | 27% | 1 Jun → | |
| ancient | 10–13 | 0.00 | 13% | 1 Jun → | |
| overpass | 13–5 | 0.12 | 14% | 1 Jun → |
Match data via Leetify.
