케이팝겠우

케이팝겠우 — CS2 Stats

76561198066006945[U:1:105741217]Steam profile ↗✓ No bans

498Tracked matches50%Win rate2023Tracked since
813Hours in CS6Hrs last 2 wks
CSDB Rating3.1 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 498
+3.6ppWin rate · 46.4% → 50.0%

Rating over time

Premier CS Rating: 12,421 -2,630 16 Apr – 12 Jun · 17 days played
12,19715,051peak 15,05116 Apr12 Jun
15,160Peak Premier in tracked matches
34Days played since 2026-04-16

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

Performance scores

Aim27
Positioning43
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateLWLWLTLLWW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −2.9pp headshot accuracy · −16ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 544ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 574ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 582ms

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 (+1.3 against its own average).

Aim2.7
Utility3.6
Positioning4.3
Opening Duels1.2

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: utility contribution, positioning profile.

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. 579ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.7
Positioning4.3
Utility3.6
Mechanics1.8
Opening Duels1.4
Win Impact5.0

Composite 3.1/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time590ms−4ms
first ⅓ avg 594ms → last ⅓ avg 590ms
Headshot accuracy9.8%+0.4%
first ⅓ avg 9.4% → last ⅓ avg 9.8%

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.

Personal bests

0.07Best match rating · 13–6 · overpass, 12 Jun →
22%Best headshot accuracy · 10–13 · office, 9 May →
414msFastest reaction time · 7–13 · office, 28 Apr →
13–2Biggest win · inferno, 18 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 63% over 8overpassWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
officeB199–1047%-0.04
infernoA1710–759%-0.02
nukeB115–645%-0.04
overpassD102–820%-0.03
anubisA85–363%-0.02
cacheC83–538%-0.03
vertigoC52–340%-0.03
dust2D51–420%-0.05
ancientD51–420%-0.04
alpineC52–340%-0.00
mirage—31–233%-0.06
shelter—10–10%-0.04
train—10–10%-0.03
warden—10–10%-0.02
italy—11–0100%0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,698Lifetime kills
0.85K/D
1,310Matches
42.6%Match win rate
28.7%Headshot %
11.6%Shot accuracy
1,730MVPs
473Hours (in match)
869Bombs planted
134Bombs defused

Most-used weapons

Lifetime map wins

2,388office
1,319dust2
1,308inferno
925nuke
614vertigo
376train
301italy
149aztec

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

Faceit stats

Combat

2Matches
0%Win rate
0.40Avg K/D
—ADR
38%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Overpass10%0.508.0
Anubis10%0.314.0

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.

10.2%Headshot accuracy
30.3%Accuracy (enemy spotted)
32.6%Spray accuracy
57.9%Counter-strafing
11.9°Preaim
579msReaction time
37.5%T opening success
34.0%CT opening success
0.42Enemies flashed / flash
1.6%Flash assists
6.77HE damage / grenade
7.26Flashes / 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 10.1828% — 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 0.4175 — 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 37.5386% — below the 40% mark we flag

Spend your practice time on Overpass

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 10 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
office8–13-0.0710%4 Nov →
vertigo13–11-0.057%4 Nov →
overpass10–13-0.0712%4 Nov →
vertigo13–60.0511%26 Oct →
nuke11–13-0.069%26 Oct →
vertigo12–12-0.107%20 Oct →
mirage6–13-0.118%4 Oct →
dust211–13-0.0413%4 Oct →
inferno13–100.049%24 Sept →
anubis13–60.027%24 Sept →
dust213–9-0.0316%7 Sept →
inferno13–10-0.0517%7 Sept →
anubis13–90.0012%23 Aug →
cache3–13-0.0819%23 Aug →
nuke12–16-0.0711%23 Aug →
dust210–13-0.0815%30 Jul →
ancient13–6-0.074%15 Jul →
inferno13–40.0013%15 Jul →
cache9–13-0.0710%15 Jul →
nuke13–4-0.076%15 Jul →
nuke13–50.0010%9 Jul →
shelter4–13-0.043%9 Jul →
nuke11–13-0.0716%12 Jun →
overpass13–60.0711%12 Jun →
anubis13–90.015%11 Jun →
nuke8–13-0.027%11 Jun →
inferno13–8-0.068%11 Jun →
overpass13–160.0312%9 Jun →
office7–13-0.053%9 Jun →
ancient15–15-0.0412%3 Jun →
inferno5–13-0.088%3 Jun →
ancient10–13-0.0610%22 May →
inferno13–80.064%22 May →
anubis6–13-0.087%22 May →
overpass13–16-0.037%22 May →
anubis13–9-0.017%21 May →
inferno16–14-0.0513%18 May →
inferno13–20.0011%18 May →
anubis10–13-0.0810%18 May →
dust28–13-0.0216%15 May →
office8–13-0.015%15 May →
inferno5–130.0217%15 May →
mirage13–10-0.065%15 May →
office13–110.0211%14 May →
nuke13–11-0.029%14 May →
overpass6–13-0.0117%14 May →
inferno11–13-0.0213%14 May →
office7–13-0.020%12 May →
office13–9-0.064%12 May →
nuke13–90.0118%12 May →
anubis11–130.0313%12 May →
overpass9–13-0.057%12 May →
cache13–11-0.029%12 May →
anubis13–9-0.048%10 May →
overpass13–6-0.036%10 May →
office10–13-0.0622%9 May →
train12–12-0.037%9 May →
cache7–130.002%9 May →
inferno13–7-0.0111%7 May →
cache10–13-0.0515%5 May →
cache13–9-0.050%29 Apr →
cache13–30.0411%29 Apr →
cache12–120.0213%29 Apr →
office13–11-0.0611%28 Apr →
overpass8–13-0.0710%28 Apr →
inferno13–6-0.070%28 Apr →
nuke13–5-0.029%28 Apr →
ancient5–130.0112%28 Apr →
alpine13–90.0615%28 Apr →
office7–13-0.074%28 Apr →
office11–7-0.077%27 Apr →
inferno14–16-0.018%27 Apr →
dust23–13-0.0716%27 Apr →
mirage11–13-0.0110%27 Apr →
inferno14–16-0.0615%27 Apr →
office13–100.0210%26 Apr →
office13–7-0.048%26 Apr →
warden3–13-0.029%26 Apr →
office7–13-0.0410%25 Apr →
italy13–20.0215%25 Apr →
alpine12–12-0.0112%25 Apr →
alpine5–1-0.076%25 Apr →
office13–8-0.041%25 Apr →
vertigo12–120.0113%25 Apr →
overpass10–13-0.059%25 Apr →
alpine7–13-0.008%25 Apr →
office13–5-0.048%25 Apr →
nuke9–13-0.0712%23 Apr →
inferno13–8-0.038%23 Apr →
overpass11–13-0.056%23 Apr →
nuke13–16-0.067%21 Apr →
inferno10–13-0.0510%21 Apr →
office9–13-0.0313%21 Apr →
alpine5–130.0211%20 Apr →
office12–12-0.048%20 Apr →
vertigo7–9-0.0313%20 Apr →
office13–2-0.059%19 Apr →
office11–13-0.084%16 Apr →
ancient10–13-0.047%16 Apr →
inferno15–15-0.023%16 Apr →

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 →

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