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이제강아지를좋아하는척은안하지만

이제강아지를좋아하는척은안하지만 — CS2 Stats

76561198451881749[U:1:491616021]Steam profile ↗

998Tracked matches79%Win rate2023Tracked since
1,332Hours in CS
CSDB Rating6.8 SolidHybrid Rifler
Premier CS Rating20,553Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#19110 of 54593 tracked
FaceitLevel 6 · 1,275 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate55.3%44.7%46.1%above
Shot accuracy0.6%11.9%12.6%12.0% short
Kill/death ratio1.661.041.05above
Match win rate50.8%45.2%45.7%above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG이제강아지를좋아하는척은안하지만FACEITLevel 6 · 1,275 ELOSTANDINGTop 54.0% of rankedPREMIER20,553 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim69
Positioning61
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY65–28–7Last 10065%Win rateTWWWLWWWLW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9
Aggression10.0
Utility5.0
Positioning6.1
Opening Duels5.6
Clutch5.2

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

sh1ro

Plays most like sh1ro 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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. 584ms 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
Positioning6.1
Utility5.0
Mechanics6.8
Opening Duels5.6
Win Impact10.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time588ms−28ms
first ⅓ avg 616ms → last ⅓ avg 588ms
Headshot accuracy19.1%−0.2%
first ⅓ avg 19.4% → last ⅓ avg 19.1%

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.

Highlights

0.19Best rating — dust2 13–6
13–1Biggest win — train
9Longest win streak
4–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 88% over 8infernoWeakest map · 55% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A3420–1459%0.02
mirageS2315–865%0.03
cacheA149–564%0.05
infernoA116–555%0.02
ancientS87–188%0.05
nuke—31–233%0.04
train—33–0100%0.05
anubis—22–0100%0.03
overpass—11–0100%-0.03
vertigo—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (55% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,433Lifetime kills
1.66K/D · Top 5% of Level 6 players
1,389Matches
50.8%Match win rate · Top 25% of Level 6 players
55.3%Headshot % · Top 25% of Level 6 players
0.6%Shot accuracy
3,172MVPs
1,332Hours (in match)
773Bombs planted
308Bombs defused

Most-used weapons

AK-4731,283
AWP9,642
M4A4 / M4A1-S7,931
Desert Eagle2,377
P2000 / USP-S1,609
Glock-181,048
Galil AR885
MP9535
MAC-10320
FAMAS308

Lifetime map wins

4,954dust2
2,017inferno
685nuke
150train
101vertigo
12cbble

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

Faceit stats

Combat

47Matches
57%Win rate
1.34Avg K/D
89.5ADR
44%Headshot %

Clutches & streaks

46%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21669%1.4520.6
Mirage1331%1.1618.7
Inferno667%1.2620.7
Ancient667%1.2816.3
Anubis4100%1.6619.0
Nuke20%1.5027.5

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.

19.2%Headshot accuracy
34.3%Accuracy (enemy spotted)
40.2%Spray accuracy
80.4%Counter-strafing
11.3°Preaim
584msReaction time
45.0%T opening success
59.8%CT opening success
0.47Enemies flashed / flash
9.3%Flash assists
4.65HE damage / grenade
10.17Flashes / 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. 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 0.4729 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
inferno15–150.0126%8 Jun →
dust213–50.0612%8 Jun →
ancient13–50.0113%8 Jun →
mirage13–9-0.0324%8 Jun →
cache9–130.1317%7 Jun →
dust213–90.0123%7 Jun →
dust213–11-0.0222%6 Jun →
mirage13–20.1111%6 Jun →
nuke7–130.0712%6 Jun →
cache13–50.0016%2 Jun →
mirage5–13-0.0516%2 Jun →
dust213–50.0223%2 Jun →
train13–10.0713%2 Jun →
cache13–10.0521%1 Jun →
dust213–60.1918%1 Jun →
dust213–50.0332%1 Jun →
mirage13–70.0722%31 May →
dust210–13-0.075%31 May →
ancient13–30.0419%31 May →
mirage13–5-0.0312%31 May →
train13–90.1023%31 May →
dust213–60.0113%31 May →
mirage13–8-0.0122%30 May →
dust213–50.0234%30 May →
anubis13–90.0719%30 May →
dust213–10-0.0211%29 May →
mirage13–60.1322%29 May →
inferno10–130.0126%29 May →
dust213–50.0526%29 May →
dust24–13-0.0317%29 May →
overpass13–6-0.0312%29 May →
inferno13–90.0126%28 May →
mirage13–100.0323%28 May →
mirage12–120.0614%27 May →
cache13–60.0113%27 May →
dust20–13-0.138%27 May →
mirage13–50.0831%27 May →
nuke1–6-0.0614%27 May →
inferno13–50.059%27 May →
anubis13–3-0.0028%27 May →
mirage11–13-0.0022%26 May →
dust28–130.0130%26 May →
ancient13–20.0722%26 May →
mirage13–30.0919%25 May →
ancient12–120.0620%25 May →
mirage7–13-0.0018%25 May →
dust26–13-0.019%25 May →
cache13–60.1121%22 May →
dust213–50.0620%22 May →
mirage13–40.0618%22 May →
dust20–4-0.080%22 May →
cache13–10-0.0125%21 May →
dust211–130.0417%21 May →
mirage10–13-0.0424%21 May →
inferno13–70.0621%21 May →
ancient13–90.1014%20 May →
dust213–20.1223%20 May →
dust25–13-0.0414%20 May →
ancient13–20.0725%19 May →
dust26–00.169%19 May →
dust213–80.0813%19 May →
mirage13–10.0518%19 May →
dust29–130.0214%19 May →
mirage9–130.0018%17 May →
cache12–120.0825%17 May →
inferno13–110.0523%17 May →
inferno13–60.043%15 May →
ancient13–110.0112%15 May →
mirage13–60.1123%15 May →
dust213–30.079%15 May →
nuke13–30.1033%10 May →
dust213–5-0.0024%10 May →
cache13–20.0516%10 May →
inferno11–13-0.0024%10 May →
inferno7–130.0113%10 May →
vertigo13–80.0219%10 May →
dust213–80.0117%10 May →
cache8–130.0521%9 May →
cache9–130.0310%8 May →
ancient13–100.0516%7 May →
dust213–110.0324%4 May →
dust212–120.0030%4 May →
cache13–1-0.016%4 May →
mirage4–13-0.0810%4 May →
cache13–60.0724%4 May →
dust212–12-0.0218%1 May →
mirage13–8-0.0224%1 May →
inferno11–13-0.0618%1 May →
dust211–13-0.0123%1 May →
cache7–130.0121%1 May →
dust27–130.0113%30 Apr →
inferno13–60.0436%30 Apr →
cache13–100.0718%29 Apr →
dust29–13-0.0116%28 Apr →
dust213–60.0318%27 Apr →
mirage12–120.1014%27 Apr →
mirage13–20.0512%26 Apr →
dust213–90.0222%26 Apr →
train13–9-0.0128%26 Apr →
mirage13–30.0527%25 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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