fey

fey — CS2 Stats

US76561198081843468[U:1:121577740]Steam profile ↗

644Tracked matches38%Win rate2021Tracked since
1,364Hours in CS
CSDB Rating4.0 Developing
Premier CS Rating14,532Blue band · top ~30.9% of ranked players (population est.)
CSDB Leaderboard#16636 of 25651 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate34.6%42.5%44.2%9.6% short
Shot accuracy17.6%10.9%11.2%above
Kill/death ratio1.000.991.040.04 short
Match win rate38.5%44.2%45.3%6.7% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGfeyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,532 · Blue bandcsdb.gg/stats

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Performance scores

Aim57
Positioning45
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY42535Last 10042%Win rateLLLWLWWLLW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim5.7
Aggression3.7
Utility2.9
Positioning4.5
Opening Duels0.5

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 78% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 633ms 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

Aim5.7
Positioning4.5
Utility2.9
Mechanics6.4
Opening Duels1.0
Win Impact1.0

Composite 4.0/10 (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 rating-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time624ms−27ms
first ⅓ avg 651ms → last ⅓ avg 624ms
Headshot accuracy20.1%+0.2%
first ⅓ avg 19.9% → last ⅓ avg 20.1%

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

0.09Best rating — ancient 13–3
131Biggest win — dust2
8Longest win streak
L3Current streak
69In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 62% over 13nukeWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA1810856%-0.02
nukeD1631319%-0.04
ancientC146843%-0.03
infernoD1441029%-0.05
cacheB147750%-0.02
dust2A138562%-0.01
anubisD62433%-0.00
overpass32167%-0.04
train1010%-0.01
vertigo1010%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,005Lifetime kills
1.00K/D · Top 50% of Level 4 players
3,733Matches
38.5%Match win rate
34.6%Headshot %
17.6%Shot accuracy · Top 10% of Level 4 players
8,517MVPs
1,364Hours (in match)
3,220Bombs planted
760Bombs defused

Most-used weapons

AK-4718,765
AWP6,950
P902,011
P2501,801
Tec-91,569

Lifetime map wins

6,167dust2
4,773nuke
2,858inferno
518vertigo
342train
329cbble
168lake
161bank

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

Faceit stats

Combat

22Matches
45%Win rate
0.88Avg K/D
ADR
38%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.8816.3
Inferno10%1.0617.0
Vertigo1100%2.2011.0

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.

20.3%Headshot accuracy
30.5%Accuracy (enemy spotted)
33.5%Spray accuracy
78.6%Counter-strafing
10.4°Preaim
633msReaction time
26.1%T opening success
37.9%CT opening success
0.39Enemies flashed / flash
6.1%Flash assists
7.75HE damage / grenade
2.22Flashes / 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 0.389 — 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 26.0977% — below the 40% mark we flag

Spend your practice time on Nuke

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–130.0021%26 Jun
nuke8–130.0126%26 Jun
nuke5–130.0211%25 Jun
ancient16–140.0023%11 Jun
inferno11–13-0.0125%11 Jun
inferno13–8-0.0315%11 Jun
mirage13–10-0.0129%11 Jun
mirage4–13-0.0415%11 Jun
ancient10–13-0.038%11 Jun
cache13–8-0.0228%11 Jun
cache4–13-0.0111%11 Jun
mirage13–70.0315%11 Jun
cache2–13-0.0423%11 Jun
ancient16–13-0.0719%7 Jun
dust25–13-0.0618%7 Jun
mirage13–60.0120%3 Jun
inferno1–13-0.1215%3 Jun
ancient12–16-0.067%1 Jun
anubis5–130.0326%1 Jun
dust213–11-0.0013%1 Jun
inferno13–16-0.0227%1 Jun
ancient9–13-0.0224%1 Jun
mirage15–15-0.0022%22 May
nuke10–13-0.0539%22 May
cache13–8-0.0313%22 May
inferno2–10-0.0738%19 May
ancient8–13-0.0611%18 May
dust211–13-0.0120%17 May
ancient13–100.0222%17 May
mirage13–5-0.0229%17 May
inferno15–15-0.0215%17 May
overpass13–40.0325%16 May
ancient13–30.0912%16 May
dust29–13-0.0616%16 May
ancient6–13-0.0524%15 May
mirage9–13-0.0314%15 May
mirage13–80.0118%15 May
dust25–13-0.0618%13 May
dust213–3-0.0125%13 May
mirage9–13-0.0436%13 May
nuke6–13-0.0615%11 May
mirage13–9-0.0518%11 May
dust213–110.0115%11 May
cache8–13-0.0830%11 May
mirage10–130.0110%11 May
anubis9–13-0.0512%11 May
mirage13–100.0521%11 May
inferno7–13-0.0911%11 May
anubis14–16-0.0512%11 May
cache13–100.0212%9 May
cache11–13-0.0219%9 May
cache13–4-0.069%9 May
nuke13–50.0120%8 May
inferno13–9-0.043%8 May
nuke13–11-0.0124%7 May
anubis13–80.0520%7 May
cache13–80.0413%6 May
cache9–2-0.0324%6 May
cache13–60.0121%6 May
cache12–120.0215%6 May
cache12–12-0.0318%6 May
anubis13–110.0320%1 May
mirage9–13-0.0716%30 Apr
ancient10–13-0.0214%30 Apr
dust213–10.0118%30 Apr
mirage13–90.0321%30 Apr
inferno11–13-0.0617%30 Apr
dust213–40.0130%30 Apr
nuke11–13-0.0215%30 Apr
dust213–100.0326%29 Apr
nuke3–13-0.1114%29 Apr
inferno9–13-0.0524%29 Apr
cache4–13-0.0444%29 Apr
anubis10–13-0.0328%27 Apr
mirage13–16-0.0613%27 Apr
ancient4–13-0.0912%27 Apr
nuke13–90.0122%24 Apr
nuke3–13-0.0318%24 Apr
mirage16–13-0.0420%23 Apr
ancient13–7-0.0427%23 Apr
nuke10–13-0.0334%21 Apr
dust213–90.007%17 Feb
overpass3–9-0.1522%17 Feb
nuke2–9-0.066%17 Feb
overpass13–5-0.0033%26 Aug
ancient16–120.0027%5 Aug
inferno13–16-0.0115%22 Jul
mirage2–13-0.0610%21 Jul
dust213–100.0430%15 Jul
mirage13–5-0.0018%15 Jul
nuke6–9-0.0319%15 Jul
ancient9–13-0.0224%10 Jul
inferno13–9-0.0115%10 Jul
inferno9–7-0.0412%10 Jul
nuke7–9-0.0519%8 Jul
nuke1–9-0.1910%8 Jul
inferno7–9-0.1220%8 Jul
nuke15–15-0.0116%5 Jul
train4–13-0.0113%5 Jul
vertigo6–9-0.0517%5 Jul

Match data via Leetify.

Milestones

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