Feta ♡

Feta ♡ — CS2 Stats

CY76561198113545196[U:1:153279468]Steam profile ↗✓ No bans

1,809Tracked matches50%Win rate2020Tracked since
2,884Hours in CS6Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
FaceitLevel 5 · 993 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify
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. 32 days played since 14 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 8,704 -685 15 May29 Jun · 12 days played
8,4549,568peak 9,56815 May29 Jun
9,671Peak Premier in tracked matches
993Highest Faceit ELO seen on CSDB
32Days played since 2026-05-14

Faceit ELO

  • At peak — 993
  • Next: Level 5 at 1,051 58 to go
  • Reached: Level 4 · Level 3 · Level 2

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 5 among CSDB-tracked players (n=12,790), 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 5 medianLevel 6 medianvs Level 6
Headshot rate38.5%43.8%44.8%6.3% short
Shot accuracy9.8%12.0%12.5%2.6% short
Kill/death ratio0.821.021.040.21 short
Match win rate45.7%44.7%45.2%meets

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFeta ♡FACEITLevel 5 · 993 ELOSTANDINGTop 67.6% of rankedPEAK ELO993csdb.gg/stats

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Performance scores

Aim50
Positioning43
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY50428Last 10050%Win rateWTLWWLLLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.1pp headshot accuracy · −59ms 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

  • 311 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 559ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 22%
  • Avg reaction 633ms

Last 20

  • 1082 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 662ms

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: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim5.0
Utility4.6
Positioning4.3
Opening Duels0.7
Clutch3.6

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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 680ms 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
Positioning4.3
Utility4.6
Mechanics6.7
Opening Duels0.4
Win Impact5.0

Composite 4.1/10 (Developing), 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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time676ms+41ms
first ⅓ avg 635ms → last ⅓ avg 676ms
Headshot accuracy21.6%+6.2%
first ⅓ avg 15.4% → 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.

Personal bests

0.09Best match rating · 3–13 · ancient, 26 May
40%Best headshot accuracy · 13–1 · dust2, 25 May
453msFastest reaction time · 13–6 · nuke, 19 May
13–1Biggest win · dust2, 25 May

Across the last 100 tracked matches.

Highlights

4Longest win streak
108In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 12mirageWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeC2081240%-0.02
ancientB2091145%0.01
mirageC135838%-0.03
infernoS128467%-0.03
dust2A127558%-0.03
anubisC94544%-0.06
vertigoA53260%-0.04
overpass43175%-0.01
train32167%-0.05
cache21150%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,950Lifetime kills
0.82K/D
3,780Matches
45.7%Match win rate · Top 50% of Level 5 players
38.5%Headshot %
9.8%Shot accuracy
7,412MVPs
1,455Hours (in match)
3,981Bombs planted
694Bombs defused

Most-used weapons

AK-4712,541
AWP5,225
SG 5533,161
AUG2,603
MP92,166
MAC-101,791

Lifetime map wins

9,440dust2
5,466inferno
5,443nuke
1,584vertigo
1,272lake
926train
266office
35cbble

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

Faceit stats

Combat

168Matches
51%Win rate
0.86Avg K/D
74.5ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient5246%0.8313.7
Nuke2959%0.9214.9
Inferno2370%1.0016.6
Mirage2223%0.6510.1
Dust21040%0.9717.4
Anubis967%0.7614.0
Overpass650%0.8815.5
Train580%1.1918.6

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.

21.5%Headshot accuracy
31.5%Accuracy (enemy spotted)
29.7%Spray accuracy
80.2%Counter-strafing
11.6°Preaim
680msReaction time
28.6%T opening success
33.0%CT opening success
0.58Enemies flashed / flash
3.5%Flash assists
10.94HE damage / grenade
2.79Flashes / 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 2.788 — 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 28.6442% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0819%21 Sept
nuke12–12-0.0126%21 Sept
dust26–13-0.0713%21 Sept
cache13–5-0.0427%21 Sept
anubis13–9-0.0621%21 Sept
dust28–13-0.0929%21 Sept
mirage4–13-0.0635%16 Sept
mirage7–13-0.0832%16 Sept
nuke13–100.0116%16 Sept
anubis13–3-0.080%16 Sept
ancient3–13-0.0530%11 Aug
ancient12–120.0028%8 Aug
dust213–10-0.0421%8 Aug
ancient13–100.0228%6 Aug
anubis1–13-0.1217%6 Aug
inferno7–13-0.0824%27 Jul
anubis13–5-0.0032%27 Jul
ancient13–5-0.0117%23 Jul
nuke11–13-0.0621%23 Jul
mirage13–8-0.0221%23 Jul
ancient13–80.0221%19 Jul
mirage11–13-0.0520%7 Jul
ancient13–16-0.0521%29 Jun
dust27–13-0.0628%26 Jun
nuke10–130.0013%26 Jun
nuke13–8-0.0217%26 Jun
ancient7–13-0.0418%26 Jun
mirage13–80.0318%24 Jun
dust213–6-0.0626%24 Jun
nuke13–16-0.0512%24 Jun
inferno13–60.0122%24 Jun
overpass11–13-0.0019%19 Jun
nuke8–13-0.0221%16 Jun
ancient15–150.0311%12 Jun
nuke2–9-0.1627%12 Jun
nuke13–50.0813%12 Jun
vertigo11–13-0.0214%11 Jun
inferno12–12-0.0915%11 Jun
dust211–13-0.0216%10 Jun
ancient13–30.0721%10 Jun
dust213–7-0.0215%10 Jun
nuke5–13-0.0818%10 Jun
mirage13–6-0.0313%10 Jun
nuke13–90.0912%10 Jun
vertigo8–13-0.0411%10 Jun
ancient13–110.0510%10 Jun
overpass7–1-0.049%10 Jun
dust213–11-0.065%10 Jun
nuke8–13-0.0116%10 Jun
vertigo9–7-0.0318%10 Jun
inferno7–9-0.0420%10 Jun
dust29–130.0118%9 Jun
train13–10-0.0515%9 Jun
mirage13–2-0.0115%9 Jun
inferno13–7-0.0017%9 Jun
nuke13–8-0.0519%9 Jun
mirage2–13-0.0914%9 Jun
ancient12–12-0.0020%9 Jun
dust213–70.0328%9 Jun
inferno13–4-0.0125%9 Jun
anubis10–13-0.0910%9 Jun
vertigo13–5-0.0817%9 Jun
inferno13–50.0117%7 Jun
train13–4-0.0422%4 Jun
nuke4–13-0.1329%4 Jun
nuke13–8-0.0113%3 Jun
nuke7–13-0.0538%2 Jun
dust216–14-0.0115%2 Jun
ancient13–4-0.078%1 Jun
nuke8–130.0021%1 Jun
mirage5–4-0.0419%1 Jun
inferno19–17-0.0514%28 May
anubis14–160.0112%26 May
inferno13–70.019%26 May
mirage3–13-0.0823%26 May
ancient3–130.0920%26 May
ancient13–110.0313%25 May
train2–13-0.0621%25 May
dust213–10.0740%25 May
anubis12–12-0.0523%25 May
ancient13–80.0116%25 May
vertigo13–11-0.0314%25 May
overpass13–6-0.0611%25 May
anubis15–15-0.0312%21 May
ancient7–13-0.0111%21 May
overpass13–30.0521%20 May
anubis13–11-0.085%20 May
inferno9–13-0.0113%20 May
mirage4–13-0.0711%20 May
cache4–13-0.0211%19 May
nuke13–60.0312%19 May
ancient8–13-0.019%19 May
nuke8–13-0.0010%18 May
mirage13–40.0414%18 May
ancient9–13-0.004%18 May
inferno13–11-0.0420%15 May
ancient13–40.0520%15 May
nuke13–4-0.0221%15 May
mirage15–150.0611%15 May
ancient7–13-0.0222%14 May

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 →