☢KH

☢KH — CS2 Stats

FI76561198028432661[U:1:68166933]Steam profile ↗✓ No bans

1,352Tracked matches27%Win rate2020Tracked since
4,144Hours in CS9Hrs last 2 wks
CSDB Rating3.5 LearningPositional Player
Premier CS Rating3,691Grey band · top ~84.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (3 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: 3,691 +123 4 Oct – 10 Oct · 4 days played
3,5684,009peak 4,0094 Oct10 Oct
4,009Peak Premier in tracked matches
51Days played since 2025-07-11

Premier CS Rating

  • 318 below peak (4,009)
  • Next: Light Blue band at 5,000 — 1,309 to go

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 Level 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate40.3%41.8%42.7%2.4% short
Shot accuracy18.3%12.2%11.3%above
Kill/death ratio0.870.980.990.12 short
Match win rate36.6%43.3%43.9%7.3% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG☢KHFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER3,691 · Grey 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

Aim50
Positioning45
Utility19

0–100 skill scores via Leetify.

Recent form

COLD27–69–4Last 10027%Win rateLLLLWWLLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +6.6pp headshot accuracy · −79ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 678ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 19%
  • Avg reaction 631ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 671ms

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 (+2.2 against its own average).

Aim5.0
Utility1.9
Positioning4.5
Opening Duels0.5

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.

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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 659ms 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

Aim5.0
Positioning4.5
Utility1.9
Mechanics6.7
Opening Duels1.8
Win Impact0.0

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time671ms−80ms
first ⅓ avg 751ms → last ⅓ avg 671ms
Headshot accuracy19.2%+1.3%
first ⅓ avg 17.9% → last ⅓ avg 19.2%

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

0.09Best match rating · 9–2 · eldorado, 22 Sept →
44%Best headshot accuracy · 13–9 · nuke, 19 Sept →
430msFastest reaction time · 5–13 · cache, 3 Oct →
13–3Biggest win · cache, 10 Jul →

Across the last 100 tracked matches.

Highlights

2Longest win streak
L4Current streak
2–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 45% over 11cacheWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D245–1921%-0.04
mirageC188–1044%-0.02
ancientD134–931%-0.04
cacheD111–109%-0.07
nukeB115–645%-0.07
infernoD101–910%-0.06
anubis—31–233%-0.03
overpass—30–30%-0.09
vertigo—20–20%-0.04
eldorado—11–0100%0.09
poseidon—10–10%-0.03
debris—11–0100%0.07
boulder—10–10%-0.05
train—10–10%-0.08

Across the last 100 tracked matches.

Lifetime stats

107,643Lifetime kills
0.87K/D
6,504Matches
36.6%Match win rate
40.3%Headshot %
18.3%Shot accuracy · Top 10% of Level 3 players
13,858MVPs
2,476Hours (in match)
4,495Bombs planted
1,026Bombs defused

Most-used weapons

AK-4731,938
AWP20,858
FAMAS2,395
P902,278
SSG 081,623

Lifetime map wins

8,798dust2
6,052inferno
2,139nuke
1,529vertigo
1,388train
573cbble
551office
267lake

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

Faceit stats

Combat

37Matches
49%Win rate
0.84Avg K/D
—ADR
39%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

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.

17.2%Headshot accuracy
31.2%Accuracy (enemy spotted)
34.7%Spray accuracy
80.0%Counter-strafing
11.2°Preaim
659msReaction time
37.8%T opening success
36.4%CT opening success
0.56Enemies flashed / flash
0.5%Flash assists
5.28HE damage / grenade
2.07Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.0715 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 37.7586% — below the 40% mark we flag

Spend your practice time on Cache

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.1629%10 Oct →
anubis10–13-0.0113%10 Oct →
dust26–13-0.1125%9 Oct →
dust25–13-0.027%9 Oct →
inferno13–80.0432%7 Oct →
nuke13–9-0.0718%4 Oct →
dust28–13-0.0818%4 Oct →
cache5–13-0.0623%3 Oct →
mirage8–13-0.0413%3 Oct →
mirage13–5-0.0610%3 Oct →
anubis13–7-0.0121%3 Oct →
inferno8–13-0.088%3 Oct →
nuke11–13-0.086%3 Oct →
mirage8–13-0.0318%3 Oct →
cache6–13-0.150%26 Sept →
mirage16–12-0.1217%26 Sept →
dust213–10-0.0719%25 Sept →
cache10–13-0.105%25 Sept →
mirage8–130.0113%25 Sept →
dust213–16-0.0314%25 Sept →
ancient10–13-0.0124%23 Sept →
overpass3–9-0.1522%22 Sept →
eldorado9–20.0928%22 Sept →
nuke9–5-0.0138%22 Sept →
poseidon7–9-0.0324%22 Sept →
inferno7–90.0438%22 Sept →
debris9–30.0720%22 Sept →
vertigo8–8-0.0033%22 Sept →
nuke13–9-0.0644%19 Sept →
nuke12–16-0.146%18 Sept →
inferno3–13-0.106%18 Sept →
mirage13–70.0125%11 Sept →
vertigo5–13-0.0818%10 Sept →
cache14–16-0.0321%9 Sept →
inferno7–13-0.0615%8 Sept →
ancient6–13-0.0819%8 Sept →
mirage5–13-0.0535%8 Sept →
mirage4–13-0.0322%8 Sept →
cache9–13-0.0017%1 Sept →
dust21–13-0.0633%31 Aug →
mirage13–110.0214%29 Aug →
mirage15–150.0519%29 Aug →
cache9–13-0.0223%14 Aug →
nuke10–13-0.019%14 Aug →
dust213–90.0015%1 Aug →
dust211–130.0210%1 Aug →
boulder7–13-0.0512%31 Jul →
dust213–10-0.0927%31 Jul →
mirage8–13-0.0334%19 Jul →
mirage13–80.0717%19 Jul →
ancient1–13-0.049%16 Jul →
cache8–13-0.1118%14 Jul →
train11–13-0.0813%13 Jul →
nuke2–13-0.1122%13 Jul →
dust29–13-0.0822%10 Jul →
cache13–3-0.0414%10 Jul →
dust29–13-0.1026%9 Jul →
cache5–13-0.0933%4 Jul →
dust27–13-0.0425%30 May →
dust213–9-0.0214%30 May →
overpass3–13-0.110%29 May →
nuke8–13-0.0618%24 May →
inferno2–13-0.1422%24 May →
cache9–13-0.0417%8 May →
ancient11–13-0.0731%18 Apr →
ancient8–13-0.070%10 Apr →
nuke13–9-0.0821%28 Mar →
mirage13–9-0.0011%28 Mar →
mirage1–13-0.1017%28 Mar →
ancient5–13-0.0744%28 Mar →
dust24–13-0.0721%28 Mar →
ancient13–10-0.0715%28 Mar →
dust212–12-0.0718%15 Mar →
mirage1–13-0.0513%15 Mar →
dust211–13-0.0813%28 Feb →
dust211–13-0.0021%27 Feb →
ancient13–9-0.0017%27 Feb →
ancient4–13-0.0118%1 Feb →
nuke13–4-0.0518%1 Feb →
ancient13–9-0.0516%1 Feb →
overpass5–13-0.0213%9 Jan →
nuke4–9-0.0529%9 Jan →
dust26–13-0.098%3 Jan →
inferno2–13-0.034%20 Dec →
ancient3–13-0.0917%20 Dec →
dust29–130.0116%20 Dec →
mirage13–80.0217%20 Dec →
dust23–13-0.0725%19 Dec →
inferno6–13-0.0714%19 Dec →
mirage13–7-0.0517%7 Oct →
dust26–60.0729%26 Sept →
mirage6–13-0.0723%12 Sept →
dust27–13-0.0318%12 Sept →
dust210–13-0.0224%6 Sept →
ancient13–40.0027%6 Sept →
ancient15–150.0214%5 Sept →
inferno6–13-0.0422%22 Aug →
dust211–13-0.0413%22 Aug →
inferno2–9-0.178%25 Jul →
anubis11–13-0.0612%11 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.