goldencamel — CS2 Stats
AU76561198002285215[U:1:42019487]Steam profile ↗
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 44.3% | 41.7% | 44.1% | meets |
| Shot accuracy | 15.1% | 8.8% | 11.4% | above |
| Kill/death ratio | 1.03 | 0.97 | 1.03 | meets |
| Match win rate | 40.8% | 43.8% | 45.2% | 4.4% short |
This profile matches the typical Purple band player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Purple 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: -30pp win rate · +0.00 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 NiKo 68% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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
Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 15 | 9–6 | 60% | -0.03 |
 ancient | D | 13 | 4–9 | 31% | -0.03 |
 dust2 | D | 12 | 4–8 | 33% | -0.02 |
 anubis | C | 12 | 5–7 | 42% | -0.03 |
| office | D | 10 | 3–7 | 30% | -0.04 |
 mirage | A | 9 | 5–4 | 56% | -0.02 |
 cache | C | 7 | 3–4 | 43% | -0.04 |
 nuke | D | 5 | 0–5 | 0% | -0.04 |
| poseidon | — | 4 | 2–2 | 50% | 0.04 |
 train | — | 3 | 2–1 | 67% | -0.09 |
 overpass | — | 3 | 0–3 | 0% | -0.03 |
 vertigo | — | 2 | 2–0 | 100% | -0.01 |
| palais | — | 2 | 1–1 | 50% | -0.04 |
| sanctum | — | 1 | 1–0 | 100% | -0.08 |
| whistle | — | 1 | 0–1 | 0% | -0.02 |
| basalt | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (0% over 5). 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.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1566° — above the 12° mark we flag
- 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 12.9066% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 6–13 | -0.08 | 15% | 29 May → | |
| cache | 13–8 | -0.07 | 10% | 12 May → | |
| poseidon | 9–1 | 0.12 | 31% | 10 May → | |
| ancient | 7–13 | -0.09 | 11% | 3 May → | |
| dust2 | 7–13 | -0.01 | 19% | 3 May → | |
| ancient | 5–13 | -0.12 | 17% | 3 May → | |
| cache | 10–13 | -0.06 | 5% | 3 May → | |
| anubis | 7–13 | -0.06 | 19% | 1 May → | |
| ancient | 7–13 | -0.00 | 13% | 1 May → | |
| cache | 8–13 | 0.01 | 22% | 1 May → | |
| cache | 6–13 | -0.07 | 9% | 1 May → | |
| cache | 13–4 | -0.01 | 12% | 29 Apr → | |
| cache | 13–6 | -0.01 | 15% | 29 Apr → | |
| train | 13–5 | -0.12 | 10% | 26 Apr → | |
| dust2 | 9–13 | -0.02 | 17% | 25 Apr → | |
| mirage | 13–8 | 0.04 | 9% | 22 Apr → | |
| dust2 | 16–13 | -0.07 | 13% | 22 Apr → | |
| anubis | 11–13 | -0.05 | 18% | 22 Apr → | |
| anubis | 5–13 | -0.05 | 4% | 21 Apr → | |
| ancient | 5–13 | -0.01 | 14% | 21 Apr → | |
| poseidon | 7–9 | -0.05 | 17% | 21 Apr → | |
| inferno | 13–10 | -0.02 | 15% | 19 Apr → | |
| anubis | 13–11 | -0.03 | 5% | 17 Apr → | |
| inferno | 13–4 | -0.03 | 19% | 17 Apr → | |
| dust2 | 13–8 | -0.02 | 18% | 17 Apr → | |
| mirage | 7–13 | -0.06 | 13% | 17 Apr → | |
| dust2 | 6–13 | -0.04 | 9% | 11 Apr → | |
| inferno | 11–13 | -0.06 | 16% | 11 Apr → | |
| ancient | 13–7 | -0.03 | 2% | 11 Apr → | |
| inferno | 4–13 | 0.02 | 15% | 11 Apr → | |
| vertigo | 13–9 | -0.04 | 13% | 11 Apr → | |
| nuke | 7–13 | -0.01 | 11% | 11 Apr → | |
| inferno | 13–11 | -0.02 | 27% | 9 Apr → | |
| vertigo | 13–8 | 0.03 | 22% | 8 Apr → | |
| dust2 | 12–12 | 0.05 | 14% | 8 Apr → | |
| anubis | 5–13 | -0.02 | 16% | 7 Apr → | |
| ancient | 4–13 | -0.03 | 20% | 7 Apr → | |
| mirage | 16–13 | -0.03 | 11% | 7 Apr → | |
| inferno | 13–10 | -0.07 | 25% | 7 Apr → | |
| dust2 | 9–13 | -0.02 | 31% | 7 Apr → | |
| inferno | 8–13 | -0.11 | 3% | 7 Apr → | |
| dust2 | 2–13 | -0.06 | 18% | 7 Apr → | |
| anubis | 13–9 | 0.01 | 19% | 7 Apr → | |
| inferno | 13–9 | -0.03 | 20% | 5 Apr → | |
| ancient | 11–13 | -0.05 | 14% | 5 Apr → | |
| dust2 | 13–7 | 0.04 | 19% | 5 Apr → | |
| ancient | 13–3 | 0.05 | 3% | 3 Apr → | |
| anubis | 10–13 | -0.07 | 7% | 3 Apr → | |
| overpass | 9–13 | -0.00 | 36% | 3 Apr → | |
| office | 7–13 | -0.09 | 16% | 3 Apr → | |
| sanctum | 9–5 | -0.08 | 17% | 3 Apr → | |
| poseidon | 9–3 | 0.12 | 32% | 3 Apr → | |
| poseidon | 8–8 | -0.01 | 18% | 3 Apr → | |
| dust2 | 11–13 | -0.03 | 24% | 2 Apr → | |
| anubis | 13–11 | -0.01 | 9% | 1 Apr → | |
| mirage | 13–8 | 0.02 | 28% | 1 Apr → | |
| anubis | 9–13 | 0.01 | 17% | 1 Apr → | |
| nuke | 1–13 | -0.00 | 16% | 1 Apr → | |
| overpass | 2–13 | -0.06 | 24% | 31 Mar → | |
| ancient | 5–13 | -0.04 | 19% | 31 Mar → | |
| ancient | 9–13 | -0.11 | 5% | 31 Mar → | |
| dust2 | 13–9 | -0.04 | 38% | 31 Mar → | |
| anubis | 13–5 | 0.00 | 42% | 31 Mar → | |
| mirage | 7–13 | -0.02 | 17% | 14 Jul → | |
| nuke | 10–13 | -0.04 | 19% | 23 Jun → | |
| inferno | 9–6 | -0.04 | 36% | 5 Jun → | |
| anubis | 12–12 | -0.07 | 5% | 5 Jun → | |
| train | 13–10 | -0.07 | 10% | 4 Jun → | |
| ancient | 6–13 | -0.05 | 6% | 3 Jun → | |
| nuke | 10–13 | -0.09 | 8% | 3 Jun → | |
| mirage | 2–13 | -0.09 | 6% | 1 Jun → | |
| office | 5–13 | -0.04 | 17% | 1 Jun → | |
| office | 8–13 | -0.04 | 23% | 13 Mar → | |
| palais | 8–8 | -0.06 | 25% | 13 Mar → | |
| whistle | 8–8 | -0.02 | 13% | 13 Mar → | |
| office | 10–13 | -0.09 | 28% | 10 Mar → | |
| inferno | 4–9 | -0.10 | 17% | 9 Mar → | |
| palais | 9–7 | -0.02 | 14% | 6 Mar → | |
| office | 13–7 | 0.01 | 32% | 27 Feb → | |
| office | 7–13 | -0.07 | 22% | 23 Feb → | |
| train | 10–13 | -0.08 | 32% | 10 Dec → | |
| basalt | 5–13 | -0.09 | 40% | 10 Dec → | |
| office | 13–5 | 0.05 | 28% | 2 Apr → | |
| inferno | 2–13 | -0.03 | 16% | 12 Feb → | |
| inferno | 13–7 | 0.05 | 23% | 12 Feb → | |
| office | 7–13 | -0.03 | 10% | 8 Feb → | |
| inferno | 11–13 | -0.03 | 4% | 16 Nov → | |
| inferno | 13–5 | 0.01 | 27% | 16 Nov → | |
| anubis | 13–6 | 0.03 | 26% | 15 Nov → | |
| nuke | 7–9 | -0.05 | 20% | 15 Nov → | |
| mirage | 13–11 | -0.02 | 14% | 14 Nov → | |
| office | 13–5 | -0.02 | 20% | 12 Nov → | |
| mirage | 13–3 | 0.01 | 4% | 12 Nov → | |
| dust2 | 2–13 | -0.07 | 19% | 12 Nov → | |
| office | 2–13 | -0.06 | 13% | 12 Nov → | |
| ancient | 13–7 | -0.01 | 8% | 10 Nov → | |
| overpass | 5–13 | -0.01 | 3% | 10 Nov → | |
| inferno | 16–13 | -0.03 | 7% | 13 Sept → | |
| ancient | 13–8 | 0.05 | 20% | 13 Sept → | |
| mirage | 14–16 | -0.03 | 23% | 12 Sept → |
Match data via Leetify.
