Feta ♡

Feta ♡ — CS2 Stats

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

1,848Tracked matches56%Win rate2020Tracked since
2,906Hours in CS0Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
FaceitLevel 5 · 993 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 993 → 993
+39Tracked matches · now 1,848
+5.6ppWin rate · 50.0% → 55.6%

Rating over time

Premier CS Rating: 8,704 +91 10 Jun – 29 Jun · 5 days played
8,6139,062peak 9,06210 Jun29 Jun
9,219Peak Premier in tracked matches
993Highest Faceit ELO seen on CSDB
31Days played since 2026-06-09

Faceit ELO

  • At peak — 993
  • Next: Level 5 at 1,051 — 58 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-22
  • Level 3 first seen 2026-09-22

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 Level 5 among CSDB-tracked players (n=14,631), 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 accuracy9.7%12.0%12.4%2.7% short
Kill/death ratio0.821.021.030.21 short
Match win rate45.8%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

Aim52
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

COLD51–41–8Last 10051%Win rateLLWWLTWLTL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +3.9pp headshot accuracy · −22ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 606ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 588ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 599ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.2
Utility5.2
Positioning4.8
Opening Duels1.3
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

iM

Plays most like iM 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 611ms 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

Aim5.2
Positioning4.8
Utility5.2
Mechanics6.6
Opening Duels2.0
Win Impact6.9

Composite 4.7/10 (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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time607ms−69ms
first ⅓ avg 676ms → last ⅓ avg 607ms
Headshot accuracy15.8%−0.7%
first ⅓ avg 16.5% → last ⅓ avg 15.8%

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 · 13–9 · nuke, 10 Jun →
35%Best headshot accuracy · 13–8 · cache, 30 Sept →
484msFastest reaction time · 11–13 · anubis, 25 Oct →
13–2Biggest win · nuke, 11 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 67% over 6ancientWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
nukeB178–947%-0.01
ancientC177–1041%-0.01
dust2C146–843%-0.05
anubisB136–746%-0.05
infernoA138–562%-0.03
mirageA138–562%-0.03
cacheS64–267%-0.04
vertigo—42–250%-0.01
overpass—21–150%-0.02
train—11–0100%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,389Lifetime kills
0.82K/D
3,821Matches
45.8%Match win rate · Top 50% of Level 5 players
38.5%Headshot %
9.7%Shot accuracy
7,479MVPs
1,469Hours (in match)
4,033Bombs planted
702Bombs defused

Most-used weapons

AK-4712,680
AWP5,244
SG 5533,161
AUG2,603
MP92,177
MAC-101,818

Lifetime map wins

9,471dust2
5,538inferno
5,489nuke
1,597vertigo
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.

15.3%Headshot accuracy
33.6%Accuracy (enemy spotted)
32.1%Spray accuracy
79.8%Counter-strafing
12.1°Preaim
611msReaction time
41.2%T opening success
35.0%CT opening success
0.51Enemies flashed / flash
13.4%Flash assists
8.03HE damage / grenade
3.19Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0732° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 3.191 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0310%27 Oct →
anubis11–13-0.028%27 Oct →
inferno13–4-0.0324%27 Oct →
inferno13–6-0.0020%26 Oct →
cache4–13-0.0818%26 Oct →
mirage12–120.0516%26 Oct →
vertigo13–90.0426%26 Oct →
anubis11–13-0.0414%25 Oct →
dust212–12-0.068%24 Oct →
anubis3–7-0.0410%24 Oct →
ancient13–5-0.045%24 Oct →
nuke13–70.0116%23 Oct →
mirage13–9-0.094%23 Oct →
dust213–7-0.0311%23 Oct →
mirage13–9-0.0821%21 Oct →
anubis14–16-0.0112%21 Oct →
cache2–13-0.1217%21 Oct →
inferno11–13-0.069%11 Oct →
ancient3–13-0.0614%11 Oct →
nuke13–20.058%11 Oct →
anubis13–5-0.0131%11 Oct →
ancient13–7-0.0319%8 Oct →
ancient5–13-0.039%8 Oct →
anubis13–8-0.0419%8 Oct →
dust23–13-0.0910%5 Oct →
inferno13–80.0023%5 Oct →
cache13–4-0.0431%4 Oct →
ancient10–13-0.0018%4 Oct →
nuke13–30.0622%4 Oct →
ancient12–12-0.0014%30 Sept →
inferno9–13-0.0212%30 Sept →
cache13–8-0.0335%30 Sept →
mirage13–11-0.0210%30 Sept →
mirage5–10.020%29 Sept →
anubis7–13-0.1210%29 Sept →
inferno13–3-0.0213%29 Sept →
cache13–70.0531%29 Sept →
dust23–13-0.1111%29 Sept →
anubis13–5-0.0219%22 Sept →
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 →

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.