Golden Dope — CS2 Stats
76561198084604440[U:1:124338712]
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 | 29.1% | 48.1% | 19.0% short |
| Shot accuracy | 6.7% | 12.9% | 6.1% short |
| Kill/death ratio | 1.00 | 1.08 | 0.09 short |
| Match win rate | 44.7% | 46.5% | 1.8% 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: -50pp win rate · -0.01 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 ropz 77% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 702ms 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 4.1/10 (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 |
|---|---|---|---|---|---|
 dust2 | D | 20 | 6–14 | 30% | 0.01 |
 mirage | B | 19 | 10–9 | 53% | -0.01 |
 nuke | S | 17 | 11–6 | 65% | 0.00 |
| office | C | 14 | 6–8 | 43% | 0.01 |
 cache | D | 11 | 3–8 | 27% | 0.02 |
 anubis | B | 8 | 4–4 | 50% | -0.02 |
 ancient | A | 7 | 4–3 | 57% | -0.00 |
 inferno | — | 4 | 0–4 | 0% | 0.00 |
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 8 | 25% | 0.92 | 15.8 |
| Ancient | 4 | 100% | 1.50 | 18.3 |
| Dust2 | 3 | 67% | 1.42 | 23.3 |
| Nuke | 2 | 50% | 0.70 | 10.5 |
| Overpass | 2 | 0% | 1.24 | 18.5 |
| Train | 2 | 100% | 1.00 | 14.5 |
| Inferno | 1 | 100% | 0.90 | 18.0 |
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.
- 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 10.0331% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 701.7901ms — above the 700ms mark we flag
- 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 0.3172 — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 9–13 | 0.13 | 4% | 31 May → | |
| dust2 | 13–0 | 0.07 | 7% | 31 May → | |
| dust2 | 15–15 | 0.01 | 8% | 30 May → | |
| nuke | 2–13 | -0.08 | 19% | 21 May → | |
| dust2 | 10–13 | 0.01 | 10% | 19 May → | |
| dust2 | 1–13 | 0.02 | 7% | 19 May → | |
| anubis | 6–13 | -0.08 | 9% | 19 May → | |
| mirage | 3–13 | -0.08 | 2% | 18 May → | |
| nuke | 13–4 | -0.10 | 8% | 18 May → | |
| dust2 | 3–13 | -0.06 | 9% | 18 May → | |
| anubis | 13–3 | -0.01 | 11% | 18 May → | |
| ancient | 6–13 | 0.02 | 14% | 18 May → | |
| dust2 | 9–13 | 0.03 | 6% | 18 May → | |
| cache | 4–13 | -0.00 | 24% | 18 May → | |
| mirage | 13–3 | 0.08 | 9% | 18 May → | |
| office | 13–9 | 0.01 | 9% | 18 May → | |
| dust2 | 13–11 | -0.08 | 11% | 17 May → | |
| office | 7–2 | -0.13 | 8% | 17 May → | |
| office | 13–10 | 0.02 | 10% | 17 May → | |
| office | 13–5 | 0.04 | 14% | 17 May → | |
| office | 9–13 | 0.09 | 11% | 17 May → | |
| office | 9–13 | 0.06 | 13% | 17 May → | |
| ancient | 2–13 | -0.12 | 14% | 17 May → | |
| nuke | 2–9 | -0.03 | 11% | 17 May → | |
| cache | 6–13 | -0.02 | 11% | 17 May → | |
| cache | 13–6 | 0.04 | 7% | 17 May → | |
| anubis | 13–4 | 0.00 | 7% | 17 May → | |
| cache | 12–12 | 0.01 | 13% | 13 May → | |
| nuke | 11–13 | -0.03 | 5% | 12 May → | |
| cache | 12–12 | 0.04 | 13% | 12 May → | |
| mirage | 7–13 | -0.04 | 11% | 12 May → | |
| dust2 | 9–13 | 0.03 | 10% | 12 May → | |
| cache | 9–13 | -0.01 | 16% | 12 May → | |
| cache | 13–9 | -0.01 | 3% | 12 May → | |
| cache | 5–13 | 0.05 | 4% | 12 May → | |
| cache | 11–13 | 0.06 | 5% | 3 May → | |
| cache | 13–2 | 0.01 | 13% | 3 May → | |
| cache | 11–13 | 0.02 | 7% | 29 Apr → | |
| dust2 | 16–13 | -0.02 | 8% | 23 Apr → | |
| office | 4–13 | -0.01 | 4% | 23 Apr → | |
| office | 6–13 | 0.02 | 36% | 22 Apr → | |
| office | 6–13 | 0.10 | 9% | 21 Apr → | |
| office | 13–10 | 0.04 | 5% | 18 Apr → | |
| office | 12–12 | 0.00 | 17% | 16 Apr → | |
| inferno | 9–13 | -0.06 | 14% | 15 Apr → | |
| mirage | 2–13 | -0.01 | 9% | 14 Apr → | |
| nuke | 13–7 | 0.02 | 4% | 14 Apr → | |
| anubis | 15–15 | -0.01 | 9% | 14 Apr → | |
| mirage | 15–15 | -0.07 | 3% | 13 Apr → | |
| nuke | 13–9 | -0.01 | 11% | 13 Apr → | |
| dust2 | 13–8 | -0.01 | 15% | 13 Apr → | |
| dust2 | 7–13 | 0.03 | 17% | 13 Apr → | |
| nuke | 16–13 | -0.03 | 6% | 13 Apr → | |
| nuke | 13–11 | 0.02 | 11% | 12 Apr → | |
| mirage | 11–13 | 0.04 | 8% | 12 Apr → | |
| nuke | 13–1 | 0.17 | 10% | 12 Apr → | |
| mirage | 10–13 | 0.00 | 4% | 10 Apr → | |
| office | 13–4 | 0.02 | 11% | 9 Apr → | |
| office | 3–13 | -0.04 | 6% | 9 Apr → | |
| ancient | 16–13 | 0.04 | 13% | 8 Apr → | |
| mirage | 14–16 | -0.01 | 4% | 8 Apr → | |
| anubis | 13–9 | -0.02 | 8% | 8 Apr → | |
| office | 7–13 | -0.02 | 8% | 7 Apr → | |
| dust2 | 13–8 | -0.00 | 14% | 7 Apr → | |
| mirage | 13–11 | 0.06 | 10% | 7 Apr → | |
| inferno | 11–13 | -0.03 | 8% | 4 Apr → | |
| nuke | 10–13 | -0.01 | 16% | 2 Apr → | |
| nuke | 13–4 | -0.02 | 15% | 2 Apr → | |
| anubis | 4–13 | -0.05 | 3% | 2 Apr → | |
| inferno | 11–13 | 0.08 | 5% | 2 Apr → | |
| mirage | 13–6 | 0.02 | 8% | 1 Apr → | |
| dust2 | 3–13 | -0.04 | 14% | 31 Mar → | |
| mirage | 13–9 | -0.00 | 8% | 30 Mar → | |
| nuke | 13–9 | 0.09 | 12% | 30 Mar → | |
| anubis | 11–13 | 0.04 | 9% | 29 Mar → | |
| ancient | 11–13 | -0.01 | 11% | 26 Mar → | |
| dust2 | 9–13 | 0.06 | 20% | 17 Mar → | |
| dust2 | 13–4 | 0.09 | 11% | 17 Mar → | |
| dust2 | 15–15 | -0.00 | 6% | 16 Mar → | |
| mirage | 3–13 | -0.04 | 24% | 11 Mar → | |
| dust2 | 10–13 | -0.03 | 8% | 10 Mar → | |
| dust2 | 15–15 | -0.04 | 10% | 10 Mar → | |
| ancient | 16–12 | -0.06 | 9% | 10 Mar → | |
| mirage | 15–15 | -0.03 | 4% | 9 Mar → | |
| nuke | 13–10 | -0.07 | 4% | 9 Mar → | |
| dust2 | 8–13 | -0.03 | 7% | 9 Mar → | |
| mirage | 13–8 | -0.03 | 3% | 9 Mar → | |
| anubis | 13–11 | -0.03 | 11% | 9 Mar → | |
| ancient | 13–7 | 0.01 | 4% | 9 Mar → | |
| mirage | 16–13 | -0.01 | 6% | 9 Mar → | |
| nuke | 15–15 | 0.01 | 14% | 9 Mar → | |
| mirage | 13–6 | 0.00 | 6% | 8 Mar → | |
| nuke | 7–4 | 0.07 | 9% | 8 Mar → | |
| mirage | 13–5 | -0.03 | 0% | 8 Mar → | |
| nuke | 13–8 | 0.04 | 10% | 8 Mar → | |
| inferno | 4–13 | 0.01 | 6% | 8 Mar → | |
| mirage | 13–11 | 0.03 | 8% | 8 Mar → | |
| ancient | 13–6 | 0.11 | 7% | 7 Mar → | |
| nuke | 11–13 | 0.01 | 8% | 6 Mar → | |
| mirage | 13–9 | 0.00 | 9% | 6 Mar → |
Match data via Leetify.
