GhettoGoblin_

GhettoGoblin_ — CS2 Stats

DE76561199211471771[U:1:1251206043]Steam profile ↗✓ No bans

764Tracked matches38%Win rate2023Tracked since
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating8,227Light Blue band · top ~63.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,227 -1,045 3 Aug – 25 Sept · 31 days played
8,22710,682peak 10,6823 Aug25 Sept
10,883Peak Premier in tracked matches
34Days played since 2026-08-03

Premier CS Rating

  • 2,455 below peak (10,682)
  • -1,893 over 30 days · declining
  • Next: Blue band at 10,000 — 1,773 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-22

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

Share this profile

CSDB.GGGhettoGoblin_PREMIER8,227 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning52
Utility49

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateWLWLLLLLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · −21ms 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 -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 648ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 8%
  • Avg reaction 595ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 8%
  • Avg reaction 606ms

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 (+1.6 against its own average).

Aim6.4
Utility4.9
Positioning5.2
Opening Duels0.7

Strong CT-side openerLimited 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.

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

Twistzz

Plays most like Twistzz 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 585ms 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

Aim6.4
Positioning5.2
Utility4.9
Mechanics6.0
Opening Duels2.5
Win Impact1.0

Composite 4.5/10 (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

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time582ms−26ms
first ⅓ avg 608ms → last ⅓ avg 582ms
Headshot accuracy8.2%−0.7%
first ⅓ avg 8.8% → last ⅓ avg 8.2%

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

0.09Best match rating · 13–3 · dust2, 22 Sept →
18%Best headshot accuracy · 13–8 · inferno, 6 Aug →
391msFastest reaction time · 13–1 · inferno, 13 Aug →
13–1Biggest win · inferno, 13 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 52% over 27infernoWeakest map · 29% over 28
MapGradePlayedRecordWin rateAvg rating
infernoD288–2029%-0.02
dust2B2714–1352%-0.02
anubisB168–850%-0.02
ancientB126–650%-0.03
fachwerk—42–250%0.03
mirage—41–325%-0.04
cache—31–233%-0.05
nuke—21–150%-0.04
boulder—11–0100%0.03
overpass—10–10%-0.03
vertigo—11–0100%-0.01
shelter—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.4%Headshot accuracy
37.7%Accuracy (enemy spotted)
49.6%Spray accuracy
77.0%Counter-strafing
11.5°Preaim
585msReaction time
38.8%T opening success
41.0%CT opening success
0.56Enemies flashed / flash
8.0%Flash assists
10.78HE damage / grenade
3.92Flashes / 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 8.4177% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9191 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 38.8337% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
boulder13–70.036%26 Sept →
fachwerk11–130.0610%26 Sept →
inferno16–12-0.037%25 Sept →
mirage8–13-0.0315%25 Sept →
mirage3–13-0.036%25 Sept →
dust211–13-0.0510%23 Sept →
inferno10–13-0.014%22 Sept →
inferno5–13-0.082%22 Sept →
dust210–13-0.0113%22 Sept →
dust213–30.0912%22 Sept →
fachwerk12–120.045%21 Sept →
inferno13–160.029%21 Sept →
ancient13–6-0.024%21 Sept →
fachwerk13–70.039%20 Sept →
mirage13–3-0.039%20 Sept →
dust27–13-0.049%20 Sept →
overpass1–13-0.036%18 Sept →
inferno11–13-0.0310%13 Sept →
anubis9–13-0.079%13 Sept →
dust213–3-0.018%13 Sept →
dust213–9-0.059%12 Sept →
ancient13–10-0.084%11 Sept →
inferno13–5-0.0511%11 Sept →
anubis8–13-0.0312%11 Sept →
dust213–7-0.0213%11 Sept →
inferno1–13-0.065%5 Sept →
inferno1–13-0.106%5 Sept →
dust25–13-0.037%5 Sept →
dust26–13-0.0711%5 Sept →
nuke7–13-0.069%3 Sept →
dust28–13-0.014%3 Sept →
dust213–4-0.026%2 Sept →
ancient13–40.029%1 Sept →
anubis13–4-0.014%1 Sept →
anubis13–9-0.014%1 Sept →
cache2–13-0.094%31 Aug →
vertigo13–8-0.0110%31 Aug →
anubis4–13-0.0516%30 Aug →
inferno6–13-0.0112%30 Aug →
anubis9–130.0214%30 Aug →
dust27–13-0.0415%28 Aug →
nuke13–7-0.0211%24 Aug →
inferno13–70.0114%24 Aug →
anubis13–60.0011%24 Aug →
shelter5–13-0.046%23 Aug →
dust216–140.058%23 Aug →
inferno4–13-0.074%23 Aug →
dust213–100.028%20 Aug →
inferno11–130.008%20 Aug →
inferno8–80.0113%20 Aug →
dust27–13-0.035%19 Aug →
anubis16–140.039%19 Aug →
ancient15–150.019%19 Aug →
inferno4–13-0.078%18 Aug →
dust213–5-0.007%18 Aug →
ancient13–10-0.019%18 Aug →
dust213–10-0.0415%18 Aug →
dust211–13-0.097%17 Aug →
ancient11–13-0.085%17 Aug →
ancient5–130.038%17 Aug →
inferno9–13-0.005%17 Aug →
inferno9–13-0.036%16 Aug →
ancient13–3-0.026%16 Aug →
inferno6–13-0.015%16 Aug →
anubis13–8-0.009%16 Aug →
inferno13–40.012%16 Aug →
inferno4–13-0.062%14 Aug →
anubis9–13-0.007%14 Aug →
inferno13–50.068%14 Aug →
inferno5–13-0.079%13 Aug →
inferno9–13-0.056%13 Aug →
anubis9–13-0.0412%13 Aug →
inferno13–10.074%13 Aug →
dust24–13-0.1214%12 Aug →
inferno16–12-0.014%12 Aug →
dust213–11-0.012%12 Aug →
dust213–100.008%9 Aug →
ancient13–7-0.026%9 Aug →
inferno7–13-0.028%9 Aug →
dust27–13-0.006%8 Aug →
cache13–8-0.0415%8 Aug →
inferno8–130.0115%8 Aug →
dust213–9-0.044%8 Aug →
ancient10–13-0.037%7 Aug →
dust29–130.0112%6 Aug →
inferno13–8-0.0318%6 Aug →
anubis16–13-0.049%6 Aug →
anubis6–13-0.054%6 Aug →
fachwerk13–100.009%5 Aug →
inferno9–13-0.016%5 Aug →
dust28–30.0312%5 Aug →
anubis13–100.017%5 Aug →
mirage8–13-0.0510%5 Aug →
ancient0–13-0.0813%4 Aug →
anubis14–16-0.019%4 Aug →
dust213–7-0.060%4 Aug →
anubis13–10-0.0314%4 Aug →
dust26–13-0.0318%3 Aug →
cache2–13-0.027%3 Aug →
ancient4–13-0.065%3 Aug →

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 →

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