Skoda !Femboy

Skoda !Femboy — CS2 Stats

BY76561199121514753[U:1:1161249025]Steam profile ↗✓ No bans

2,133Tracked matches44%Win rate2023Tracked since
1,982Hours in CS16Hrs last 2 wks
CSDB Rating5.5 SolidPassive Rifler
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova I
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 rate49.1%44.7%46.1%above
Shot accuracy6.3%11.9%12.6%6.3% short
Kill/death ratio0.961.041.050.09 short
Match win rate43.0%45.2%45.7%2.7% short

This profile matches the typical Level 7 player on 1 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.GGSkoda !FemboyFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning43
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY41518Last 10041%Win rateWTLWLWLTLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim8.0
Aggression3.6
Utility4.8
Positioning4.3
Opening Duels0.6
Clutch3.6

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

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.0
Positioning4.3
Utility4.8
Mechanics7.6
Opening Duels1.0
Win Impact3.1

Composite 5.5/10 (Solid), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time553ms−88ms
first ⅓ avg 640ms → last ⅓ avg 553ms
Headshot accuracy21.6%−2.9%
first ⅓ avg 24.6% → last ⅓ avg 21.6%

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

0.25Best rating — inferno 9–5
131Biggest win — nuke
7Longest win streak
43In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 64% over 11infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeC41152637%0.00
vertigoC156940%-0.02
cacheA117464%0.02
mirageA95456%-0.01
infernoD51420%-0.00
overpass41325%0.06
dust231233%-0.04
anubis21150%0.04
office2020%-0.03
ancient21150%-0.01
shelter21150%-0.04
fachwerk2020%-0.02
train110100%0.03
boulder110100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,147Lifetime kills
0.96K/D
2,621Matches
43.0%Match win rate
49.1%Headshot % · Top 50% of Level 6 players
6.3%Shot accuracy
6,247MVPs
1,223Hours (in match)
1,994Bombs planted
437Bombs defused

Most-used weapons

Lifetime map wins

8,064nuke
2,119vertigo
1,691inferno
1,542dust2
746office
641train
389lake
49cbble

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

Faceit stats

Combat

53Matches
58%Win rate
1.12Avg K/D
82.9ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2273%1.1814.8
Dust2850%0.9116.1
Cache757%1.1516.4
Ancient560%1.5417.8
Anubis560%0.9111.8
Overpass333%1.2818.0
Vertigo10%0.5310.0
Nuke10%1.0424.0

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.

21.3%Headshot accuracy
37.3%Accuracy (enemy spotted)
40.0%Spray accuracy
84.2%Counter-strafing
11.6°Preaim
549msReaction time
26.6%T opening success
38.0%CT opening success
0.41Enemies flashed / flash
5.9%Flash assists
4.55HE damage / grenade
16.01Flashes / 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 0.4099 — 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 26.5895% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–70.0734%29 Aug
office12–12-0.0441%29 Aug
vertigo6–13-0.0721%29 Aug
mirage13–70.059%29 Aug
dust26–130.0010%29 Aug
mirage13–40.0618%29 Aug
nuke4–13-0.0415%29 Aug
ancient12–12-0.0113%28 Aug
cache6–13-0.0436%25 Aug
nuke13–3-0.0221%25 Aug
nuke9–13-0.0317%25 Aug
ancient13–50.0024%25 Aug
mirage13–10-0.029%25 Aug
nuke13–30.0219%25 Aug
nuke4–13-0.0118%25 Aug
nuke13–100.0720%17 Aug
inferno7–13-0.0626%17 Aug
overpass12–12-0.0116%17 Aug
cache10–130.0336%17 Aug
vertigo4–130.0026%17 Aug
nuke11–13-0.0428%17 Aug
nuke8–130.0620%15 Aug
nuke10–130.0525%15 Aug
mirage13–10-0.048%15 Aug
dust213–7-0.1015%15 Aug
nuke13–80.0324%14 Aug
nuke8–130.1426%14 Aug
nuke13–11-0.070%11 Aug
nuke8–13-0.0430%11 Aug
nuke6–130.0425%11 Aug
nuke13–90.0229%11 Aug
nuke9–130.0839%11 Aug
nuke8–13-0.0316%11 Aug
nuke13–1-0.0017%11 Aug
nuke13–6-0.0114%11 Aug
nuke5–13-0.0477%11 Aug
nuke5–130.0410%11 Aug
cache13–100.0222%28 Jul
mirage13–40.0231%28 Jul
nuke6–13-0.100%28 Jul
vertigo13–90.0323%27 Jul
cache13–11-0.0311%27 Jul
nuke5–12-0.0611%26 Jul
nuke10–13-0.0812%26 Jul
vertigo4–13-0.0833%26 Jul
nuke13–60.0522%25 Jul
nuke12–120.0220%25 Jul
nuke8–130.0021%25 Jul
mirage4–13-0.1227%22 Jul
inferno9–50.2523%22 Jul
dust22–13-0.025%22 Jul
vertigo13–80.0220%22 Jul
nuke13–70.1621%22 Jul
vertigo13–70.0120%22 Jul
nuke13–3-0.0523%22 Jul
nuke13–100.0419%22 Jul
nuke9–40.0717%21 Jul
nuke13–6-0.0010%21 Jul
shelter12–12-0.0427%21 Jul
cache13–100.1310%21 Jul
train13–20.0331%21 Jul
nuke7–130.006%21 Jul
nuke12–12-0.0416%21 Jul
vertigo3–13-0.0417%21 Jul
nuke4–13-0.046%21 Jul
vertigo13–9-0.0021%21 Jul
cache16–130.0022%20 Jul
vertigo10–13-0.0626%20 Jul
cache13–70.1616%19 Jul
boulder13–40.0616%19 Jul
vertigo8–13-0.0123%19 Jul
nuke6–12-0.0440%19 Jul
nuke1–11-0.080%18 Jul
vertigo13–80.0223%18 Jul
nuke5–130.0447%18 Jul
inferno3–130.0739%18 Jul
mirage12–12-0.0330%18 Jul
shelter13–4-0.0422%17 Jul
fachwerk9–13-0.0111%17 Jul
fachwerk8–13-0.0223%12 Jul
inferno11–13-0.1020%30 Jun
cache10–13-0.0528%30 Jun
overpass13–70.1237%30 Jun
overpass2–130.0226%30 Jun
cache10–13-0.0624%30 Jun
vertigo12–120.0324%30 Jun
nuke7–13-0.0744%29 Jun
office10–13-0.0118%29 Jun
vertigo7–130.0016%28 Jun
mirage5–130.0133%25 Jun
cache13–40.0822%24 Jun
anubis7–130.0213%24 Jun
overpass5–70.1029%17 Jun
inferno3–9-0.1612%17 Jun
vertigo4–130.0223%16 Jun
nuke13–80.1013%16 Jun
mirage7–13-0.0128%10 Jun
cache13–11-0.0433%8 Jun
vertigo3–5-0.1433%7 Jun
nuke6–13-0.0619%7 Jun

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 →