kimhungUn

kimhungUn — CS2 Stats

76561199582034471[U:1:1621768743]Steam profile ↗✓ No bans

421Tracked matches41%Win rate2025Tracked since
488Hours in CS7Hrs last 2 wks
CSDB Rating5.1 DevelopingHybrid Rifler
Premier CS Rating11,582Blue band · top ~46.5% of ranked players (population est.)
CSDB Leaderboard#30566 of 43929 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 rate37.4%41.4%44.2%6.8% short
Shot accuracy0.0%9.0%11.6%11.6% short
Kill/death ratio1.080.971.03above
Match win rate45.3%43.7%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGkimhungUnPREMIER11,582 · Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning53
Utility51

0–100 skill scores via Leetify.

Recent form

COLD49492Last 10049%Win rateLLTLWLLLWL

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

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

Aim6.9
Aggression8.9
Utility5.1
Positioning5.3
Opening Duels4.2
Clutch0.0

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: higher opening-fight frequency; 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. 587ms 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

Aim6.9
Positioning5.3
Utility5.1
Mechanics5.6
Opening Duels4.2
Win Impact2.1

Composite 5.1/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time589ms−58ms
first ⅓ avg 648ms → last ⅓ avg 589ms
Headshot accuracy16.3%+0.4%
first ⅓ avg 15.9% → last ⅓ avg 16.3%

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

0.20Best rating — train 13–1
131Biggest win — train
6Longest win streak
L2Current streak
69In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 60% over 10nukeWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B21101148%0.00
mirageB21111052%-0.01
nukeD1861233%0.01
infernoB115645%0.01
anubisA106460%-0.00
ancientD62433%0.08
train43175%0.05
overpass32167%0.06
cache330100%0.06
office31233%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,790Lifetime kills
1.08K/D · Top 50% of Blue band
852Matches
45.3%Match win rate · Top 50% of Blue band
37.4%Headshot %
0.0%Shot accuracy
1,765MVPs
289Hours (in match)
668Bombs planted
174Bombs defused

Most-used weapons

Lifetime map wins

1,897dust2
1,014nuke
778inferno
330train
144vertigo
137office
19italy
5ar_shoots

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

Faceit stats

Combat

3Matches
33%Win rate
0.95Avg K/D
73.4ADR
30%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.9613.0
Dust210%0.9416.0

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.

14.6%Headshot accuracy
38.9%Accuracy (enemy spotted)
39.8%Spray accuracy
75.1%Counter-strafing
10.3°Preaim
587msReaction time
39.6%T opening success
53.7%CT opening success
0.37Enemies flashed / flash
7.4%Flash assists
8.07HE damage / grenade
7.09Flashes / 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 14.6338% — 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 0.3716 — 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 39.6268% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–130.0221%24 Aug
dust28–130.0516%24 Aug
overpass12–120.1317%24 Aug
nuke11–130.0314%24 Aug
train13–10.2032%24 Aug
train5–130.0713%23 Aug
nuke9–13-0.0411%17 Aug
nuke0–2-0.0540%17 Aug
mirage13–50.024%17 Aug
mirage10–13-0.0618%17 Aug
anubis14–16-0.059%10 Aug
dust213–4-0.047%10 Aug
mirage5–00.0340%10 Aug
anubis5–13-0.0221%9 Aug
mirage7–13-0.058%9 Aug
mirage10–13-0.0213%9 Aug
dust24–13-0.0310%9 Aug
ancient4–130.1135%5 Aug
dust213–2-0.0118%5 Aug
inferno11–130.048%5 Aug
mirage13–60.0816%31 Jul
dust24–13-0.0213%30 Jul
anubis13–70.028%30 Jul
nuke13–100.0518%30 Jul
inferno13–6-0.018%30 Jul
anubis13–90.0011%30 Jul
ancient9–130.1716%30 Jul
anubis16–120.0714%27 Jul
nuke13–80.0322%27 Jul
mirage7–130.0210%27 Jul
inferno3–13-0.0516%27 Jul
dust27–13-0.0222%27 Jul
cache16–120.0211%27 Jul
anubis13–60.0820%27 Jul
nuke10–130.0116%26 Jul
mirage13–11-0.0612%26 Jul
dust213–6-0.0118%26 Jul
mirage13–6-0.016%26 Jul
anubis11–13-0.0625%26 Jul
mirage7–130.0210%26 Jul
inferno3–13-0.089%26 Jul
dust213–70.0324%26 Jul
dust213–60.0518%25 Jul
ancient13–100.0919%25 Jul
ancient10–13-0.028%25 Jul
nuke16–130.0214%25 Jul
dust213–100.0423%25 Jul
nuke11–130.1812%22 Jul
ancient13–110.0714%22 Jul
nuke7–13-0.0022%21 Jul
inferno6–130.0113%21 Jul
dust214–16-0.0019%17 Jul
mirage13–70.0120%17 Jul
inferno9–130.0318%17 Jul
inferno13–70.0417%17 Jul
mirage4–13-0.0312%11 Jul
mirage11–13-0.109%8 Jul
office4–13-0.0910%8 Jul
office10–13-0.0615%8 Jul
office13–8-0.060%8 Jul
anubis10–13-0.017%4 Jul
dust213–3-0.0317%4 Jul
nuke2–13-0.0315%4 Jul
mirage6–130.0113%29 Jun
mirage13–11-0.0521%29 Jun
nuke13–9-0.046%29 Jun
dust213–100.0414%29 Jun
anubis13–6-0.059%29 Jun
nuke13–40.1913%29 Jun
nuke13–9-0.0210%29 Jun
mirage0–5-0.0633%28 Jun
nuke6–13-0.0218%28 Jun
dust213–160.0613%28 Jun
mirage13–90.0515%28 Jun
overpass16–14-0.067%28 Jun
nuke2–13-0.0723%27 Jun
dust25–13-0.0618%27 Jun
mirage13–100.0517%27 Jun
inferno13–80.0125%27 Jun
dust29–13-0.0111%26 Jun
dust22–90.1115%26 Jun
cache13–9-0.0117%23 Jun
dust213–60.0122%23 Jun
train13–5-0.0519%23 Jun
train13–1-0.0227%19 Jun
inferno9–13-0.0019%15 Jun
dust213–80.0716%15 Jun
mirage13–11-0.0317%15 Jun
ancient15–150.0512%15 Jun
nuke8–130.0114%15 Jun
overpass13–70.109%15 Jun
mirage13–16-0.0519%14 Jun
inferno13–60.0621%14 Jun
dust24–13-0.056%14 Jun
inferno13–60.1112%14 Jun
nuke14–16-0.055%12 Jun
anubis13–9-0.028%12 Jun
dust24–13-0.0816%12 Jun
cache13–50.1817%12 Jun
mirage13–110.0521%10 Jun

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 →