Golden — CS2 Stats
CA76561198160218386[U:1:199952658]Steam profile ↗1 game ban
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
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 b1t 90% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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 94 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 615ms 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 6.4/10 (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 |
|---|---|---|---|---|---|
| B | 40 | 21–19 | 53% | 0.01 | |
| C | 30 | 12–18 | 40% | 0.00 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| S | 8 | 6–2 | 75% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.04 | |
| — | 2 | 1–1 | 50% | -0.04 | |
| — | 2 | 1–1 | 50% | -0.06 | |
| — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 30). Start with the 6 essential Dust 2 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 1 | 100% | 2.00 | 18.0 |
| Inferno | 1 | 100% | 1.33 | 12.0 |
| Nuke | 1 | 100% | 1.33 | 16.0 |
| Mirage | 1 | 0% | 1.27 | 19.0 |
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.
- 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 0.4642 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.769% — 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.
40% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–11 | -0.03 | 0% | 19 Jul → | ||
| 13–11 | -0.07 | 0% | 15 Jul → | ||
| 2–12 | -0.14 | 40% | 12 Jul → | ||
| 2–11 | -0.04 | 0% | 11 Jul → | ||
| 13–10 | 0.10 | 30% | 11 Jul → | ||
| 13–8 | -0.02 | 22% | 27 Jun → | ||
| 8–13 | -0.06 | 19% | 26 Jun → | ||
| 13–10 | -0.06 | 32% | 21 Jun → | ||
| 13–10 | -0.00 | 19% | 21 Jun → | ||
| 7–13 | -0.06 | 28% | 21 Jun → | ||
| 8–13 | -0.02 | 12% | 21 Jun → | ||
| 13–7 | 0.04 | 14% | 20 Jun → | ||
| 16–14 | 0.01 | 33% | 20 Jun → | ||
| 13–4 | 0.07 | 40% | 20 Jun → | ||
| 13–1 | 0.12 | 30% | 18 Jun → | ||
| 4–12 | -0.12 | 20% | 11 Jun → | ||
| 6–12 | -0.00 | 31% | 10 Jun → | ||
| 13–11 | -0.08 | 24% | 9 Jun → | ||
| 13–9 | 0.06 | 29% | 3 Jun → | ||
| 2–13 | -0.00 | 21% | 2 Jun → | ||
| 13–8 | 0.01 | 21% | 2 Jun → | ||
| 7–13 | -0.03 | 42% | 2 Jun → | ||
| 13–2 | 0.02 | 25% | 28 May → | ||
| 10–13 | 0.04 | 32% | 27 May → | ||
| 13–10 | 0.14 | 21% | 27 May → | ||
| 12–12 | 0.08 | 32% | 24 May → | ||
| 14–16 | -0.01 | 22% | 24 May → | ||
| 13–10 | -0.04 | 10% | 23 May → | ||
| 15–15 | -0.01 | 16% | 23 May → | ||
| 2–8 | -0.02 | 83% | 23 May → | ||
| 7–13 | -0.02 | 33% | 23 May → | ||
| 14–16 | -0.01 | 23% | 23 May → | ||
| 13–16 | -0.04 | 22% | 21 May → | ||
| 9–13 | 0.05 | 30% | 21 May → | ||
| 13–4 | -0.07 | 17% | 21 May → | ||
| 13–7 | 0.00 | 22% | 21 May → | ||
| 13–5 | 0.00 | 22% | 21 May → | ||
| 13–16 | -0.03 | 13% | 20 May → | ||
| 9–13 | 0.02 | 23% | 20 May → | ||
| 13–11 | -0.02 | 24% | 20 May → | ||
| 4–13 | -0.02 | 23% | 19 May → | ||
| 6–13 | -0.05 | 40% | 19 May → | ||
| 10–13 | 0.12 | 24% | 19 May → | ||
| 2–13 | -0.01 | 23% | 15 May → | ||
| 4–13 | -0.07 | 12% | 15 May → | ||
| 10–13 | -0.00 | 29% | 15 May → | ||
| 13–10 | 0.02 | 18% | 15 May → | ||
| 13–10 | 0.01 | 20% | 15 May → | ||
| 5–13 | -0.01 | 18% | 15 May → | ||
| 16–12 | -0.06 | 25% | 15 May → | ||
| 13–11 | -0.02 | 31% | 15 May → | ||
| 13–7 | 0.05 | 34% | 15 May → | ||
| 6–13 | -0.06 | 23% | 14 May → | ||
| 13–5 | 0.06 | 26% | 14 May → | ||
| 13–11 | -0.01 | 19% | 14 May → | ||
| 12–12 | 0.00 | 32% | 14 May → | ||
| 12–12 | -0.02 | 24% | 14 May → | ||
| 13–7 | -0.02 | 25% | 14 May → | ||
| 16–14 | -0.03 | 14% | 13 May → | ||
| 13–11 | -0.05 | 20% | 13 May → | ||
| 15–15 | -0.02 | 32% | 13 May → | ||
| 12–16 | 0.09 | 27% | 13 May → | ||
| 13–10 | 0.04 | 29% | 13 May → | ||
| 15–15 | -0.01 | 22% | 13 May → | ||
| 13–6 | -0.06 | 25% | 13 May → | ||
| 13–11 | 0.01 | 38% | 12 May → | ||
| 13–11 | 0.06 | 20% | 12 May → | ||
| 13–7 | 0.07 | 37% | 12 May → | ||
| 8–13 | 0.02 | 21% | 12 May → | ||
| 13–8 | 0.07 | 21% | 12 May → | ||
| 9–13 | 0.03 | 20% | 12 May → | ||
| 10–13 | 0.03 | 23% | 11 May → | ||
| 13–11 | 0.03 | 14% | 11 May → | ||
| 13–6 | -0.02 | 22% | 9 May → | ||
| 12–12 | 0.03 | 36% | 9 May → | ||
| 9–13 | 0.01 | 39% | 8 May → | ||
| 13–7 | 0.08 | 42% | 8 May → | ||
| 13–16 | 0.01 | 21% | 3 May → | ||
| 4–13 | -0.02 | 19% | 3 May → | ||
| 13–3 | 0.06 | 32% | 3 May → | ||
| 13–11 | 0.09 | 19% | 3 May → | ||
| 13–2 | 0.03 | 30% | 3 May → | ||
| 16–14 | 0.04 | 31% | 2 May → | ||
| 5–13 | -0.05 | 27% | 2 May → | ||
| 13–9 | 0.03 | 32% | 30 Apr → | ||
| 11–13 | 0.04 | 23% | 29 Apr → | ||
| 13–4 | 0.03 | 12% | 28 Apr → | ||
| 13–3 | 0.02 | 41% | 20 Apr → | ||
| 10–13 | -0.00 | 27% | 20 Apr → | ||
| 13–4 | -0.00 | 29% | 15 Apr → | ||
| 13–7 | 0.01 | 38% | 15 Apr → | ||
| 11–13 | -0.07 | 30% | 14 Apr → | ||
| 13–7 | -0.03 | 8% | 13 Apr → | ||
| 10–13 | 0.02 | 20% | 13 Apr → | ||
| 11–0 | 0.18 | 33% | 13 Apr → | ||
| 13–8 | 0.04 | 39% | 13 Apr → | ||
| 9–13 | 0.01 | 14% | 11 Apr → | ||
| 13–0 | 0.04 | 35% | 11 Apr → | ||
| 13–9 | 0.04 | 29% | 11 Apr → | ||
| 13–1 | 0.10 | 31% | 11 Apr → |
Match data via Leetify.