goldkub11k

goldkub11k — CS2 Stats

SK76561198311836173[U:1:351570445]Steam profile ↗✓ No bans

543Tracked matches40%Win rate2021Tracked since
3,226Hours in CS1Hrs last 2 wks
CSDB Rating2.8 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 5,018 -3,622 3 Feb – 29 Aug · 34 days played
5,0189,218peak 9,2183 Feb29 Aug
9,270Peak Premier in tracked matches
46Days played since 2025-02-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,677), 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.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate36.1%41.8%42.7%6.6% short
Shot accuracy18.0%12.2%11.2%above
Kill/death ratio0.910.980.990.08 short
Match win rate37.8%43.3%43.9%6.1% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGgoldkub11kFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim21
Positioning45
Utility23

0–100 skill scores via Leetify.

Recent form

COLD44–52–4Last 10044%Win rateLWWLLLLWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.3pp headshot accuracy · −83ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 672ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 685ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 726ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim2.1
Utility2.3
Positioning4.5
Opening Duels0.9

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 67% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 733ms 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

Aim2.1
Positioning4.5
Utility2.3
Mechanics4.6
Opening Duels0.9
Win Impact1.7

Composite 2.8/10 (Learning), 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

Match rating-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time728ms+83ms
first ⅓ avg 645ms → last ⅓ avg 728ms
Headshot accuracy11.7%−2.0%
first ⅓ avg 13.7% → last ⅓ avg 11.7%

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.

Personal bests

0.13Best match rating · 13–5 · mirage, 10 Feb →
28%Best headshot accuracy · 13–2 · mirage, 8 Feb →
477msFastest reaction time · 13–8 · inferno, 8 Feb →
13–2Biggest win · dust2, 10 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak
8–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 67% over 6anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC4419–2543%-0.01
dust2A2112–957%-0.01
infernoC156–940%-0.02
nukeS64–267%-0.03
anubisD61–517%-0.02
ancient—30–30%-0.01
cache—20–20%-0.11
overpass—22–0100%-0.01
train—10–10%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,870Lifetime kills
0.91K/D
3,595Matches
37.8%Match win rate
36.1%Headshot %
18.0%Shot accuracy · Top 25% of Level 3 players
6,945MVPs
1,807Hours (in match)
1,368Bombs planted
424Bombs defused

Most-used weapons

AK-4713,580
AWP10,500
P2501,438
Knife1,402
SSG 081,271

Lifetime map wins

2,196dust2
1,746inferno
1,106nuke
311vertigo
133lake
133safehouse
100train
100bank

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

53Matches
53%Win rate
1.17Avg K/D
—ADR
33%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%1.3822.0
Anubis10%0.7115.0

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.

11.8%Headshot accuracy
28.8%Accuracy (enemy spotted)
27.2%Spray accuracy
70.9%Counter-strafing
11.1°Preaim
733msReaction time
31.9%T opening success
35.5%CT opening success
0.50Enemies flashed / flash
4.1%Flash assists
8.18HE damage / grenade
12.60Flashes / match

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.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.8285% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 733.4497ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4963 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0714%27 Oct →
dust213–4-0.0317%10 May →
dust213–20.0316%10 May →
cache6–13-0.140%10 May →
ancient11–130.0224%29 Aug →
mirage2–13-0.0511%19 Aug →
dust28–130.015%19 Aug →
inferno13–10-0.038%19 Aug →
ancient8–13-0.058%9 Aug →
inferno8–130.059%9 Aug →
mirage13–10-0.022%9 Aug →
dust213–20.0613%9 Aug →
nuke6–13-0.060%8 Aug →
mirage6–13-0.065%8 Aug →
mirage6–13-0.0427%7 Aug →
mirage13–11-0.025%7 Aug →
dust28–13-0.0514%7 Aug →
mirage5–6-0.0513%7 Aug →
mirage5–13-0.0419%7 Aug →
inferno13–50.0411%6 Aug →
inferno5–13-0.0520%6 Aug →
overpass13–6-0.0019%6 Aug →
mirage7–13-0.0318%6 Aug →
mirage13–40.0213%6 Aug →
inferno6–13-0.083%5 Aug →
mirage13–110.108%3 Aug →
mirage10–13-0.040%3 Aug →
nuke13–8-0.0623%1 Aug →
mirage9–13-0.0616%1 Aug →
dust213–5-0.0416%31 Jul →
nuke4–13-0.0614%31 Jul →
dust211–13-0.0310%31 Jul →
overpass13–11-0.027%30 Jul →
mirage6–13-0.0923%30 Jul →
mirage8–130.0116%30 Jul →
inferno13–10-0.068%30 Jul →
mirage2–13-0.0919%30 Jul →
mirage16–14-0.0215%17 Apr →
mirage10–130.0216%16 Apr →
dust213–30.0122%12 Apr →
mirage13–10-0.076%2 Apr →
dust215–15-0.0111%24 Mar →
mirage10–13-0.0710%22 Mar →
dust26–13-0.0416%21 Mar →
anubis13–30.1019%20 Mar →
dust213–4-0.0615%19 Mar →
inferno11–13-0.0011%16 Mar →
nuke13–11-0.019%12 Mar →
dust24–13-0.069%12 Mar →
mirage13–40.017%11 Mar →
dust213–60.049%10 Mar →
mirage6–13-0.087%9 Mar →
mirage14–16-0.0614%9 Mar →
mirage13–60.0120%2 Mar →
ancient10–13-0.0213%28 Feb →
mirage13–110.0115%28 Feb →
mirage10–13-0.0111%28 Feb →
anubis3–130.0213%27 Feb →
mirage13–5-0.0420%27 Feb →
inferno11–130.0015%27 Feb →
mirage13–60.0913%27 Feb →
mirage13–160.0419%26 Feb →
mirage13–5-0.0223%24 Feb →
mirage5–13-0.069%24 Feb →
mirage16–130.0212%24 Feb →
mirage14–160.0412%23 Feb →
mirage13–10-0.0215%23 Feb →
anubis2–13-0.099%21 Feb →
mirage16–140.0617%21 Feb →
train8–130.0510%18 Feb →
inferno13–11-0.0516%16 Feb →
nuke13–90.0314%12 Feb →
nuke13–60.009%12 Feb →
mirage7–13-0.018%11 Feb →
mirage13–50.139%10 Feb →
mirage15–15-0.0415%10 Feb →
dust28–13-0.0611%10 Feb →
inferno13–160.0325%8 Feb →
inferno13–80.0311%8 Feb →
mirage13–20.0228%8 Feb →
inferno10–130.0312%7 Feb →
dust213–8-0.0320%7 Feb →
mirage11–13-0.0413%5 Feb →
mirage9–130.0619%5 Feb →
anubis4–130.0119%5 Feb →
dust210–130.0113%4 Feb →
inferno13–7-0.045%4 Feb →
anubis5–13-0.0813%4 Feb →
mirage11–13-0.0514%4 Feb →
dust213–60.0213%3 Feb →
mirage13–10-0.040%3 Feb →
dust213–40.0313%3 Feb →
inferno6–13-0.0912%2 Feb →
mirage13–60.0323%2 Feb →
inferno4–13-0.0525%2 Feb →
anubis15–15-0.0511%2 Feb →
dust215–150.0024%2 Feb →
dust213–6-0.078%1 Feb →
dust213–50.0917%1 Feb →
mirage9–130.022%1 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.