ÐrunkS 神 — CS2 Stats

76561198151700010[U:1:191434282]✓ No bans

240Tracked matches46%Win rate2020Tracked since
2,539Hours in CS0Hrs last 2 wks
CSDB Rating5.1 DevelopingPassive Rifler
Premier CS Rating18,370Purple band · top ~15% of ranked players (population est.)
CSDB Leaderboard#8528 of 16059 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate44.9%48.1%3.2% short
Shot accuracy19.8%12.9%above
Kill/death ratio1.281.08above
Match win rate46.3%46.5%meets

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

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

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CSDB.GGÐrunkS 神PREMIER18,370 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning48
Utility31

0–100 skill scores via Leetify.

Recent form

COLD52453Last 10052%Win rateLWLLWLLLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.7
Aggression4.2
Utility3.1
Positioning4.8
Opening Duels0.3

Limited 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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 645ms 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

Aim6.7
Positioning4.8
Utility3.1
Mechanics8.3
Opening Duels0.5
Win Impact3.8

Composite 5.1/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time643ms+12ms
first ⅓ avg 630ms → last ⅓ avg 643ms
Headshot accuracy23.8%−3.5%
first ⅓ avg 27.3% → last ⅓ avg 23.8%

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

0.12Best rating — dust2 13–8
132Biggest win — dust2
4Longest win streak
45In matches decided by ≤2 rounds
15Overtime games

Map breakdown

overpassBest map · 67% over 9mirageWeakest map · 36% over 25
MapGradePlayedRecordWin rateAvg rating
dust2A34211362%-0.00
mirageC2591636%0.01
infernoA148657%0.00
overpassS96367%0.02
nukeS64267%0.00
cacheA53260%-0.01
ancient41325%0.00
train3030%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 25). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,110Lifetime kills
1.28K/D · Top 25% of tracked players
2,438Matches
46.3%Match win rate
44.9%Headshot %
19.8%Shot accuracy · Top 5% of tracked players
6,573MVPs
1,122Hours (in match)
3,677Bombs planted
699Bombs defused

Most-used weapons

Lifetime map wins

4,922inferno
3,344dust2
2,859vertigo
2,325train
488nuke
99cbble
72assault
50office

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.

23.9%Headshot accuracy
30.4%Accuracy (enemy spotted)
31.0%Spray accuracy
87.1%Counter-strafing
9.7°Preaim
645msReaction time
34.4%T opening success
27.7%CT opening success
0.58Enemies flashed / flash
2.0%Flash assists
6.56HE damage / grenade
4.63Flashes / 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. 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 34.3986% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage12–16-0.0622%22 Jul
cache13–9-0.0319%20 Jul
inferno3–13-0.0433%20 Jul
cache8–13-0.0519%20 Jul
nuke16–130.0027%18 Jul
dust28–13-0.0518%18 Jul
nuke10–130.0024%16 Jul
inferno10–13-0.0519%16 Jul
ancient10–13-0.0116%16 Jul
dust213–100.0020%14 Jul
inferno10–13-0.0830%14 Jul
mirage5–13-0.0513%14 Jul
dust210–13-0.0218%14 Jul
cache13–3-0.0226%13 Jul
mirage13–90.0634%13 Jul
inferno13–5-0.0024%13 Jul
dust215–150.0326%13 Jul
nuke13–5-0.0029%13 Jul
mirage5–13-0.0326%13 Jul
dust213–80.0230%13 Jul
dust213–2-0.0326%10 Jul
cache13–80.0324%10 Jul
dust213–6-0.0324%10 Jul
dust210–13-0.0019%9 Jul
dust213–30.0229%9 Jul
dust215–15-0.0229%9 Jul
dust210–130.0327%4 Jul
mirage16–130.0331%4 Jul
mirage10–13-0.0214%4 Jul
dust27–13-0.0520%4 Jul
overpass13–4-0.0026%4 Jul
mirage13–80.0517%2 Jul
inferno13–7-0.0126%1 Jul
dust213–10-0.0721%1 Jul
inferno8–130.0229%1 Jul
overpass4–13-0.0138%30 Jun
dust213–70.0320%30 Jun
nuke13–90.0234%30 Jun
dust28–130.0028%30 Jun
dust213–9-0.0026%29 Jun
overpass8–13-0.0320%29 Jun
dust213–9-0.0532%27 Jun
mirage13–160.0623%27 Jun
overpass16–140.0522%26 Jun
inferno13–40.1121%26 Jun
dust214–160.0630%26 Jun
dust213–60.0626%25 Jun
mirage9–130.0130%25 Jun
dust216–13-0.0232%25 Jun
overpass13–90.0243%23 Jun
dust24–13-0.0831%22 Jun
inferno13–100.0430%22 Jun
mirage8–130.0122%22 Jun
overpass16–130.0320%19 Jun
mirage13–90.0225%19 Jun
dust213–4-0.0227%19 Jun
mirage9–130.0327%17 Jun
mirage6–130.0024%17 Jun
dust213–80.1237%17 Jun
cache10–130.0128%15 Jun
mirage13–60.0931%15 Jun
inferno13–4-0.0019%3 Jun
dust26–2-0.0533%3 Jun
dust213–20.0017%3 Jun
mirage10–13-0.0210%3 Jun
mirage13–80.0223%3 Jun
nuke9–130.0015%29 May
overpass11–130.0415%29 May
dust213–4-0.0235%29 May
dust213–60.0526%29 May
mirage11–130.0041%28 May
overpass13–7-0.0120%28 May
dust213–60.0347%28 May
inferno13–5-0.0329%28 May
dust213–7-0.0536%28 May
mirage6–13-0.0626%22 May
dust29–13-0.0715%13 May
inferno10–130.0525%7 May
overpass16–140.0832%30 Apr
nuke13–100.0031%30 Apr
dust213–100.0417%14 Apr
ancient13–60.0633%14 Apr
ancient7–13-0.0318%13 Apr
dust29–130.0825%13 Apr
mirage15–15-0.0033%9 Apr
mirage13–10-0.0219%8 Apr
train14–160.0336%20 Dec
dust23–13-0.0714%20 Dec
train14–160.0329%20 Dec
mirage5–13-0.0336%20 Dec
mirage13–100.0330%20 Dec
mirage13–30.0134%20 Dec
mirage12–16-0.0127%20 Dec
ancient10–13-0.0122%20 Dec
dust213–110.0936%20 Dec
inferno10–130.0130%20 Dec
inferno13–90.0123%20 Dec
inferno13–110.0218%20 Dec
mirage5–130.0122%19 Dec
train10–13-0.0321%19 Dec

Match data via Leetify.

Recent teammates

Milestones

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