Femboy Kenꨄ︎ꨄ

Femboy Kenꨄ︎ꨄ — CS2 Stats

CA76561198325858568[U:1:365592840]Steam profile ↗✓ No bans

132Tracked matches59%Win rate2020Tracked since
839Hours in CS8Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating11,027Blue band · top ~49.5% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 17 days played since 31 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,027 +2,634 30 Aug15 Sept · 8 days played
8,39311,095peak 11,09530 Aug15 Sept
11,454Peak Premier in tracked matches
17Days played since 2026-07-31

Premier CS Rating

  • 68 below peak (11,095)
  • Next: Purple band at 15,000 3,973 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=19,543), 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 rate53.3%41.9%44.3%above
Shot accuracy2.2%9.6%11.8%9.6% short
Kill/death ratio1.150.981.03above
Match win rate29.7%43.8%45.2%15.5% short

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.GGFemboy Kenꨄ︎ꨄPREMIER11,027 · Blue 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

Aim49
Positioning50
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY60319Last 10060%Win rateWLLWWLWLLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +1.6pp headshot accuracy · −89ms reaction

Win rate −10pp 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 661ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 655ms

Last 20

  • 1181 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 700ms

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 PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim4.9
Utility3.7
Positioning5.0
Opening Duels3.4

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

iM

Plays most like iM 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 683ms 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

Aim4.9
Positioning5.0
Utility3.7
Mechanics6.6
Opening Duels2.5
Win Impact7.9

Composite 4.8/10 (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 rating0.01−0.06
first ⅓ avg 0.07 → last ⅓ avg 0.01
Reaction time679ms−118ms
first ⅓ avg 797ms → last ⅓ avg 679ms
Headshot accuracy25.3%+0.3%
first ⅓ avg 24.9% → last ⅓ avg 25.3%

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.

Personal bests

0.45Best match rating · 9–1 · nuke, 31 Jul
58%Best headshot accuracy · 9–5 · poseidon, 31 Jul
477msFastest reaction time · 8–13 · inferno, 30 Aug
13–0Biggest win · mirage, 27 Aug

Across the last 100 tracked matches.

Highlights

11Longest win streak
37In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 73% over 11infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA47281960%0.08
mirageS1510567%0.00
dust2S118373%-0.01
infernoD62433%0.01
vertigoB63350%0.02
poseidon43175%0.10
anubis32167%0.00
cache31233%-0.00
office21150%0.06
train21150%0.05
ancient110100%0.03

Across the last 100 tracked matches.

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

Lifetime stats

23,004Lifetime kills
1.15K/D · Top 25% of Blue band
1,465Matches
29.7%Match win rate
53.3%Headshot % · Top 10% of Blue band
2.2%Shot accuracy
1,621MVPs
321Hours (in match)
132Bombs planted
141Bombs defused

Most-used weapons

Lifetime map wins

1,133dust2
915nuke
567vertigo
421inferno
184train
21office
7sugarcane
2cbble

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.

24.3%Headshot accuracy
27.9%Accuracy (enemy spotted)
28.9%Spray accuracy
79.5%Counter-strafing
10.6°Preaim
683msReaction time
28.5%T opening success
49.7%CT opening success
0.47Enemies flashed / flash
3.4%Flash assists
6.67HE damage / grenade
9.08Flashes / 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 0.4683 — below the 0.5 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 28.5392% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.0027%15 Sept
mirage4–13-0.0630%8 Sept
dust23–130.0228%8 Sept
nuke13–80.0215%8 Sept
inferno13–9-0.0121%7 Sept
anubis14–16-0.0223%7 Sept
nuke13–8-0.0223%7 Sept
mirage5–13-0.0730%7 Sept
nuke4–13-0.0338%5 Sept
dust213–7-0.0121%5 Sept
mirage13–90.0127%5 Sept
dust213–11-0.0320%5 Sept
cache8–13-0.0322%3 Sept
dust215–150.0221%3 Sept
office13–70.0230%1 Sept
train4–130.0315%1 Sept
office7–130.1137%1 Sept
mirage13–100.0125%1 Sept
mirage13–10.0326%1 Sept
cache13–100.0418%31 Aug
nuke10–13-0.0021%31 Aug
nuke13–60.0233%31 Aug
nuke16–13-0.0020%31 Aug
dust213–10-0.0315%31 Aug
mirage6–13-0.0615%31 Aug
inferno8–13-0.0520%30 Aug
mirage13–100.1223%30 Aug
anubis13–60.0538%30 Aug
dust213–90.0833%29 Aug
inferno10–13-0.0128%28 Aug
mirage9–130.0223%28 Aug
train13–110.0737%28 Aug
dust213–20.0334%27 Aug
dust213–100.029%27 Aug
mirage13–60.0329%27 Aug
mirage13–4-0.0416%27 Aug
vertigo13–40.0519%27 Aug
mirage13–0-0.0125%27 Aug
dust213–3-0.0327%26 Aug
inferno13–20.0530%26 Aug
anubis13–4-0.0219%26 Aug
mirage13–20.0622%26 Aug
mirage4–130.0144%26 Aug
dust213–3-0.0150%26 Aug
dust21–13-0.1010%26 Aug
mirage13–7-0.0321%26 Aug
cache11–13-0.0213%26 Aug
nuke7–90.0527%5 Aug
nuke9–60.0318%5 Aug
nuke8–80.0816%5 Aug
nuke8–8-0.0720%5 Aug
nuke9–30.1018%5 Aug
ancient13–20.0318%4 Aug
nuke9–10.3828%2 Aug
nuke9–00.1812%2 Aug
nuke9–60.1723%2 Aug
nuke9–30.1113%2 Aug
nuke9–20.2826%2 Aug
vertigo13–5-0.0220%2 Aug
nuke7–90.0518%2 Aug
nuke9–6-0.0210%2 Aug
nuke9–30.2023%2 Aug
nuke6–9-0.0823%2 Aug
poseidon9–70.0430%2 Aug
nuke9–00.3825%2 Aug
nuke7–90.0424%2 Aug
poseidon8–80.0416%2 Aug
nuke9–10.2330%2 Aug
nuke13–80.0424%1 Aug
nuke4–9-0.0721%1 Aug
nuke4–90.0429%1 Aug
nuke7–9-0.0027%1 Aug
poseidon9–60.1841%1 Aug
nuke9–50.0629%1 Aug
nuke8–80.048%1 Aug
nuke9–40.0826%1 Aug
nuke7–9-0.0918%1 Aug
vertigo6–13-0.0715%1 Aug
nuke3–13-0.0723%1 Aug
nuke9–40.0923%1 Aug
nuke9–50.1418%1 Aug
nuke9–50.0529%1 Aug
nuke6–90.0634%1 Aug
nuke8–80.1822%1 Aug
inferno4–90.0226%1 Aug
inferno8–80.1020%31 Jul
nuke8–80.1223%31 Jul
vertigo8–80.0334%31 Jul
nuke9–30.1741%31 Jul
vertigo9–60.1729%31 Jul
nuke9–30.1120%31 Jul
nuke9–10.4530%31 Jul
nuke3–9-0.1120%31 Jul
nuke9–50.0919%31 Jul
nuke9–20.1821%31 Jul
nuke2–9-0.208%31 Jul
vertigo6–13-0.0221%31 Jul
nuke13–100.0516%31 Jul
poseidon9–50.1358%31 Jul
nuke9–50.1120%31 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →