Gorillakind

Gorillakind — CS2 Stats

76561198175678351[U:1:215412623]Steam profile ↗✓ No bans

725Tracked matches69%Win rate2020Tracked since
2,350Hours in CS2Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating12,128Blue band · top ~43.6% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (10 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: 12,128 -934 30 Apr – 1 Nov · 34 days played
8,26313,062peak 13,06230 Apr1 Nov
13,062Peak Premier in tracked matches
42Days played since 2026-04-30

Premier CS Rating

  • 934 below peak (13,062)
  • +2,637 over 30 days · improving
  • +2,128 over 90 days
  • Next: Purple band at 15,000 — 2,872 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-24

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate30.3%42.0%44.4%14.0% short
Shot accuracy19.1%9.6%11.9%above
Kill/death ratio1.070.981.03above
Match win rate44.9%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Headshot 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.

Share this profile

CSDB.GGGorillakindPREMIER12,128 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning47
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLWWLLWWWLW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −3.4pp headshot accuracy · +5ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 7%
  • Avg reaction 680ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 640ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 638ms

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 (+2.1 against its own average).

Aim5.8
Utility2.5
Positioning4.7
Opening Duels0.5

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

iM

Plays most like iM 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 646ms 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

Aim5.8
Positioning4.7
Utility2.5
Mechanics5.1
Opening Duels1.5
Win Impact10.0

Composite 4.7/10 (Developing), 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

Match rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time649ms−78ms
first ⅓ avg 727ms → last ⅓ avg 649ms
Headshot accuracy10.1%−3.5%
first ⅓ avg 13.5% → last ⅓ avg 10.1%

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

0.15Best match rating · 13–8 · inferno, 3 Sept →
28%Best headshot accuracy · 13–9 · dust2, 26 Jul →
438msFastest reaction time · 5–13 · ancient, 23 Aug →
13–0Biggest win · cache, 1 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–13In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 100% over 5nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2514–1156%-0.01
dust2A2515–1060%-0.01
cacheA169–756%-0.01
ancientD123–925%-0.00
infernoB105–550%-0.00
nukeD51–420%-0.00
anubisS55–0100%0.04
overpass—20–20%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,473Lifetime kills
1.07K/D · Top 50% of Blue band
3,236Matches
44.9%Match win rate · Top 50% of Blue band
30.3%Headshot %
19.1%Shot accuracy · Top 5% of Blue band
7,392MVPs
1,306Hours (in match)
1,168Bombs planted
442Bombs defused

Most-used weapons

AK-4719,418
AWP7,711
SG 5531,905
MAC-101,724
MP71,623
AUG1,581

Lifetime map wins

3,801inferno
2,353nuke
2,062dust2
1,374vertigo
1,179train
410assault
359office
329cbble

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.

10.2%Headshot accuracy
38.8%Accuracy (enemy spotted)
41.2%Spray accuracy
73.1%Counter-strafing
10.1°Preaim
646msReaction time
30.4%T opening success
41.8%CT opening success
0.25Enemies flashed / flash
2.6%Flash assists
9.88HE damage / grenade
1.83Flashes / 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 10.218% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2517 — below the 0.5 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 30.3922% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache3–13-0.124%1 Nov →
mirage13–6-0.0412%29 Oct →
dust211–3-0.017%29 Oct →
mirage10–13-0.076%26 Oct →
inferno14–16-0.005%26 Oct →
dust213–50.0013%26 Oct →
dust213–70.1019%26 Oct →
mirage13–10-0.007%25 Oct →
mirage8–13-0.027%25 Oct →
cache13–8-0.078%25 Oct →
mirage13–50.0511%25 Oct →
mirage13–40.0713%24 Oct →
inferno13–100.0118%24 Oct →
cache10–130.0913%24 Oct →
cache13–60.0014%24 Oct →
nuke13–110.015%24 Oct →
dust213–8-0.0316%23 Oct →
mirage13–90.0218%23 Oct →
cache13–9-0.0311%23 Oct →
mirage13–5-0.052%23 Oct →
ancient15–150.0110%23 Oct →
dust210–13-0.058%23 Oct →
dust25–13-0.0513%17 Oct →
ancient13–7-0.036%17 Oct →
cache10–130.036%17 Oct →
mirage13–40.0410%12 Oct →
dust213–50.0519%12 Oct →
mirage5–13-0.039%11 Oct →
mirage13–6-0.0114%11 Oct →
dust213–10.058%11 Oct →
ancient3–13-0.084%3 Oct →
mirage16–13-0.007%3 Oct →
ancient11–130.1013%3 Oct →
nuke14–160.016%3 Oct →
mirage7–13-0.019%2 Oct →
mirage13–50.089%2 Oct →
ancient11–130.015%2 Oct →
cache13–9-0.053%2 Oct →
anubis13–80.048%26 Sept →
dust211–13-0.0513%19 Sept →
anubis13–10.1310%19 Sept →
dust213–10-0.0416%19 Sept →
anubis13–40.0414%13 Sept →
dust213–70.057%13 Sept →
cache11–13-0.0110%9 Sept →
dust213–11-0.039%9 Sept →
mirage11–13-0.017%5 Sept →
mirage9–13-0.0112%3 Sept →
dust210–00.009%3 Sept →
inferno13–80.1517%3 Sept →
cache13–0-0.026%1 Sept →
ancient9–130.028%1 Sept →
mirage13–16-0.015%30 Aug →
nuke7–13-0.0215%28 Aug →
dust22–13-0.094%28 Aug →
ancient5–13-0.0516%23 Aug →
inferno7–130.026%23 Aug →
cache13–10.0811%14 Aug →
ancient11–130.0214%7 Aug →
nuke9–130.008%6 Aug →
cache13–7-0.019%5 Aug →
dust213–100.039%5 Aug →
mirage5–130.0016%4 Aug →
anubis13–100.066%4 Aug →
inferno8–13-0.048%3 Aug →
dust214–16-0.068%3 Aug →
dust27–13-0.008%2 Aug →
dust23–13-0.0721%2 Aug →
mirage11–13-0.0411%2 Aug →
ancient13–6-0.0116%2 Aug →
dust27–130.0716%31 Jul →
ancient13–8-0.028%31 Jul →
ancient5–130.0324%31 Jul →
nuke10–13-0.0216%31 Jul →
dust213–90.0028%26 Jul →
cache13–70.0117%26 Jul →
inferno6–2-0.084%26 Jul →
inferno9–13-0.057%26 Jul →
cache14–16-0.0112%26 Jul →
cache5–13-0.029%25 Jul →
inferno13–9-0.067%25 Jul →
mirage13–11-0.0320%25 Jul →
dust211–13-0.0112%22 Jul →
dust213–80.0021%21 Jul →
cache11–13-0.0410%20 Jul →
mirage15–15-0.0513%20 Jul →
mirage13–80.0411%19 Jul →
mirage13–9-0.0011%19 Jul →
ancient6–13-0.0121%11 Jul →
anubis13–10-0.056%5 Jul →
overpass5–130.0216%3 Jul →
overpass5–13-0.0611%3 Jul →
mirage16–130.008%26 Jun →
inferno10–13-0.018%26 Jun →
mirage5–13-0.180%25 Jun →
dust27–13-0.0825%7 May →
dust213–10-0.0511%30 Apr →
inferno13–70.0413%30 Apr →
dust213–11-0.0321%30 Apr →
cache13–9-0.0214%30 Apr →

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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