Cosmic goat licker — CS2 Stats
US76561198327539401[U:1:367273673]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 45.0% | 40.1% | 41.7% | above |
| Shot accuracy | 4.6% | 7.6% | 8.8% | 4.2% short |
| Kill/death ratio | 0.87 | 0.92 | 0.97 | 0.10 short |
| Match win rate | 39.3% | 42.2% | 43.8% | 4.5% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Blue 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
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: opening-duel success, positioning profile.
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. 709ms 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 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 vertigo | C | 16 | 6–10 | 38% | -0.03 |
 nuke | D | 11 | 2–9 | 18% | -0.06 |
 dust2 | A | 11 | 6–5 | 55% | -0.02 |
 inferno | S | 9 | 6–3 | 67% | 0.03 |
 cache | D | 9 | 2–7 | 22% | -0.02 |
| office | A | 8 | 5–3 | 63% | -0.00 |
 train | S | 6 | 5–1 | 83% | -0.02 |
 overpass | D | 5 | 1–4 | 20% | 0.02 |
 mirage | A | 5 | 3–2 | 60% | 0.03 |
| boulder | A | 5 | 3–2 | 60% | 0.01 |
 ancient | D | 5 | 1–4 | 20% | -0.03 |
 anubis | — | 4 | 2–2 | 50% | -0.01 |
| shelter | — | 4 | 4–0 | 100% | 0.02 |
| italy | — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (18% over 11). 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 resultsLLLWW
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 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 708.7133ms — above the 700ms mark we flag
- 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 15.3015% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| overpass | 7–13 | -0.00 | 16% | 24 Aug → | |
| nuke | 13–7 | -0.09 | 15% | 23 Aug → | |
| nuke | 1–9 | -0.15 | 29% | 15 Aug → | |
| vertigo | 5–13 | -0.05 | 26% | 14 Aug → | |
| mirage | 11–2 | 0.09 | 27% | 14 Aug → | |
| boulder | 10–13 | 0.04 | 15% | 10 Aug → | |
| anubis | 10–13 | -0.09 | 17% | 9 Aug → | |
| italy | 12–12 | -0.01 | 5% | 9 Aug → | |
| vertigo | 11–13 | -0.06 | 14% | 9 Aug → | |
| anubis | 6–13 | -0.02 | 41% | 9 Aug → | |
| office | 11–13 | 0.10 | 39% | 8 Aug → | |
| boulder | 6–13 | 0.03 | 13% | 8 Aug → | |
| shelter | 13–8 | -0.00 | 27% | 8 Aug → | |
| vertigo | 13–5 | -0.06 | 18% | 8 Aug → | |
| boulder | 13–10 | 0.01 | 22% | 8 Aug → | |
| inferno | 13–9 | 0.00 | 17% | 7 Aug → | |
| dust2 | 3–13 | -0.04 | 15% | 7 Aug → | |
| office | 13–10 | -0.01 | 31% | 7 Aug → | |
| nuke | 7–13 | -0.09 | 25% | 5 Aug → | |
| dust2 | 13–10 | -0.03 | 14% | 5 Aug → | |
| dust2 | 13–11 | -0.04 | 6% | 1 Aug → | |
| boulder | 13–5 | 0.00 | 19% | 1 Aug → | |
| vertigo | 13–9 | -0.01 | 29% | 31 Jul → | |
| shelter | 13–5 | 0.01 | 15% | 31 Jul → | |
| inferno | 13–4 | -0.08 | 38% | 31 Jul → | |
| dust2 | 2–6 | -0.06 | 18% | 31 Jul → | |
| office | 13–8 | 0.07 | 31% | 31 Jul → | |
| dust2 | 13–4 | -0.03 | 19% | 31 Jul → | |
| boulder | 13–4 | -0.02 | 17% | 30 Jul → | |
| overpass | 13–3 | 0.01 | 8% | 30 Jul → | |
| ancient | 13–2 | 0.02 | 17% | 30 Jul → | |
| cache | 6–13 | 0.06 | 17% | 28 Jul → | |
| dust2 | 12–12 | -0.05 | 20% | 24 Jul → | |
| vertigo | 13–8 | -0.02 | 26% | 24 Jul → | |
| office | 10–13 | -0.04 | 31% | 21 Jul → | |
| nuke | 11–13 | 0.00 | 31% | 18 Jul → | |
| italy | 13–3 | -0.05 | 13% | 17 Jul → | |
| train | 13–8 | 0.03 | 26% | 17 Jul → | |
| train | 13–11 | -0.03 | 21% | 17 Jul → | |
| vertigo | 9–13 | -0.07 | 15% | 17 Jul → | |
| ancient | 12–12 | 0.01 | 16% | 16 Jul → | |
| mirage | 0–6 | -0.01 | 17% | 16 Jul → | |
| vertigo | 12–12 | 0.00 | 15% | 13 Jul → | |
| cache | 6–13 | 0.03 | 47% | 13 Jul → | |
| nuke | 9–13 | -0.00 | 16% | 13 Jul → | |
| shelter | 13–6 | 0.07 | 28% | 13 Jul → | |
| office | 13–5 | -0.05 | 11% | 12 Jul → | |
| nuke | 5–9 | -0.02 | 28% | 12 Jul → | |
| mirage | 8–13 | -0.02 | 13% | 11 Jul → | |
| nuke | 5–13 | -0.02 | 14% | 11 Jul → | |
| inferno | 13–9 | -0.04 | 25% | 11 Jul → | |
| vertigo | 8–13 | -0.03 | 21% | 11 Jul → | |
| vertigo | 1–9 | -0.01 | 29% | 11 Jul → | |
| vertigo | 9–3 | 0.14 | 41% | 11 Jul → | |
| nuke | 2–9 | -0.21 | 3% | 10 Jul → | |
| inferno | 9–4 | 0.14 | 32% | 10 Jul → | |
| cache | 13–5 | -0.08 | 19% | 9 Jul → | |
| shelter | 13–6 | -0.00 | 23% | 9 Jul → | |
| train | 13–7 | -0.02 | 21% | 9 Jul → | |
| nuke | 9–13 | -0.04 | 19% | 9 Jul → | |
| dust2 | 13–4 | -0.02 | 13% | 8 Jul → | |
| nuke | 13–11 | -0.01 | 14% | 8 Jul → | |
| overpass | 6–13 | -0.02 | 13% | 7 Jul → | |
| vertigo | 11–13 | -0.01 | 37% | 6 Jul → | |
| vertigo | 3–13 | -0.07 | 5% | 6 Jul → | |
| cache | 7–13 | -0.04 | 10% | 6 Jul → | |
| mirage | 13–2 | 0.11 | 18% | 6 Jul → | |
| dust2 | 13–3 | 0.08 | 9% | 6 Jul → | |
| ancient | 4–13 | -0.05 | 3% | 6 Jul → | |
| vertigo | 5–13 | -0.05 | 12% | 27 Jun → | |
| mirage | 13–10 | -0.02 | 26% | 27 Jun → | |
| cache | 10–13 | -0.01 | 15% | 24 Jun → | |
| office | 13–5 | -0.01 | 40% | 24 Jun → | |
| cache | 9–13 | -0.09 | 12% | 24 Jun → | |
| train | 13–10 | -0.03 | 27% | 24 Jun → | |
| train | 7–13 | -0.04 | 19% | 20 Jun → | |
| cache | 13–10 | -0.08 | 14% | 20 Jun → | |
| dust2 | 9–13 | -0.04 | 26% | 20 Jun → | |
| nuke | 8–8 | -0.01 | 23% | 14 Jun → | |
| train | 13–8 | -0.04 | 15% | 4 Jun → | |
| office | 11–13 | -0.04 | 50% | 4 Jun → | |
| cache | 12–12 | 0.04 | 15% | 30 May → | |
| vertigo | 1–9 | -0.16 | 14% | 30 May → | |
| inferno | 7–9 | 0.04 | 24% | 28 May → | |
| vertigo | 13–7 | 0.01 | 18% | 27 May → | |
| anubis | 13–5 | -0.01 | 8% | 27 May → | |
| anubis | 13–6 | 0.06 | 14% | 27 May → | |
| overpass | 4–9 | 0.14 | 13% | 26 May → | |
| cache | 7–13 | -0.04 | 13% | 25 May → | |
| dust2 | 8–13 | 0.06 | 19% | 25 May → | |
| vertigo | 13–9 | 0.02 | 13% | 25 May → | |
| inferno | 12–12 | 0.02 | 18% | 24 May → | |
| ancient | 11–13 | -0.03 | 22% | 24 May → | |
| inferno | 7–9 | 0.01 | 28% | 22 May → | |
| office | 13–11 | -0.01 | 28% | 16 May → | |
| inferno | 9–4 | 0.18 | 13% | 16 May → | |
| inferno | 13–11 | -0.00 | 14% | 9 May → | |
| dust2 | 13–5 | -0.04 | 10% | 9 May → | |
| overpass | 10–13 | -0.01 | 17% | 9 May → | |
| ancient | 6–13 | -0.11 | 10% | 9 May → |
Match data via Leetify.
