Catgirl Aimy

Catgirl Aimy — CS2 Stats

DE76561198180597545[U:1:220331817]Steam profile ↗✓ No bans

1,929Tracked matches52%Win rate2020Tracked since
2,498Hours in CS17Hrs last 2 wks
CSDB Rating3.8 LearningPositional Player
Premier CS Rating9,396Light Blue band · top ~57.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 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. 30 days played since 23 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: 9,396 +1,816 15 Aug17 Sept · 8 days played
7,2459,396peak 9,39615 Aug17 Sept
9,396Peak Premier in tracked matches
30Days played since 2026-07-23

Premier CS Rating

  • At peak — 9,396
  • +1,816 over 30 days · improving
  • Next: Blue band at 10,000 604 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-03

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 Light Blue band among CSDB-tracked players (n=7,736), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate46.4%39.9%41.9%above
Shot accuracy10.7%6.8%9.6%above
Kill/death ratio0.840.920.980.14 short
Match win rate43.6%42.2%43.8%meets

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGCatgirl AimyPREMIER9,396 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim57
Positioning35
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY375310Last 10037%Win rateLLWWWWLWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +0.2pp headshot accuracy · +33ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 661ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 642ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 626ms

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 (+1.7 against its own average).

Aim5.7
Utility1.1
Positioning3.5
Opening Duels2.5
Clutch0.0

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

s1mple

Plays most like s1mple 92% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

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

Reaction time. 659ms 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
Positioning3.5
Utility1.1
Mechanics5.8
Opening Duels2.7
Win Impact5.6

Composite 3.8/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time659ms−7ms
first ⅓ avg 666ms → last ⅓ avg 659ms
Headshot accuracy16.0%−0.8%
first ⅓ avg 16.8% → last ⅓ avg 16.0%

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

0.11Best match rating · 13–3 · vertigo, 31 Jul
42%Best headshot accuracy · 6–13 · cache, 11 Aug
469msFastest reaction time · 10–13 · dust2, 15 Aug
13–2Biggest win · dust2, 15 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
65In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 67% over 6officeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheD1861233%-0.02
nukeC167944%-0.02
mirageD134931%-0.02
infernoB115645%-0.02
dust2D102820%-0.03
vertigoC73443%0.01
ancientS64267%-0.01
officeD61517%-0.01
anubisA53260%-0.03
shelter31233%0.01
train2020%-0.03
overpass21150%0.00
fachwerk1010%-0.01

Across the last 100 tracked matches.

Lifetime stats

56,479Lifetime kills
0.84K/D
3,947Matches
43.6%Match win rate · Top 50% of Light Blue band
46.4%Headshot % · Top 25% of Light Blue band
10.7%Shot accuracy · Top 50% of Light Blue band
7,824MVPs
1,335Hours (in match)
2,052Bombs planted
477Bombs defused

Most-used weapons

Lifetime map wins

4,502office
2,544inferno
2,180vertigo
2,068nuke
1,243dust2
1,170train
1,115cbble
506lake

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

Faceit stats

Combat

49Matches
51%Win rate
0.93Avg K/D
69.1ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis250%0.7214.0
Vertigo10%0.408.0
Mirage10%0.7613.0

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.

15.1%Headshot accuracy
34.8%Accuracy (enemy spotted)
37.1%Spray accuracy
76.3%Counter-strafing
9.7°Preaim
659msReaction time
40.5%T opening success
41.3%CT opening success
0.16Enemies flashed / flash
0.9%Flash assists
8.77HE damage / grenade
1.36Flashes / 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 0.1575 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Dust 2

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

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0716%17 Sept
mirage8–13-0.0119%17 Sept
cache13–40.0222%17 Sept
cache13–6-0.018%15 Sept
cache13–100.0316%15 Sept
inferno13–7-0.0619%15 Sept
cache11–13-0.0810%15 Sept
dust213–2-0.0220%15 Sept
shelter8–130.0511%14 Sept
cache8–13-0.0011%7 Sept
nuke13–80.0319%7 Sept
cache11–13-0.0317%7 Sept
inferno10–13-0.0716%7 Sept
inferno13–40.0527%6 Sept
nuke13–40.0310%6 Sept
inferno13–90.0514%6 Sept
nuke13–90.0314%6 Sept
anubis10–13-0.0011%6 Sept
ancient13–40.0510%6 Sept
anubis13–11-0.0711%5 Sept
dust27–13-0.0326%5 Sept
dust28–13-0.0913%5 Sept
mirage12–12-0.028%5 Sept
office8–13-0.1338%2 Sept
mirage13–11-0.0016%2 Sept
vertigo12–120.0818%2 Sept
nuke10–13-0.0711%2 Sept
ancient12–12-0.0312%1 Sept
nuke16–130.0512%30 Aug
nuke6–13-0.047%30 Aug
vertigo12–12-0.1518%29 Aug
cache6–13-0.0630%29 Aug
nuke3–13-0.0420%29 Aug
cache1–13-0.0517%29 Aug
nuke6–13-0.0113%28 Aug
vertigo13–8-0.0412%28 Aug
office9–13-0.1032%28 Aug
nuke8–13-0.0526%28 Aug
mirage11–13-0.0710%28 Aug
cache9–13-0.0520%26 Aug
cache5–130.0123%26 Aug
dust25–13-0.0622%16 Aug
cache13–10-0.0019%16 Aug
shelter13–70.0012%15 Aug
nuke13–90.0024%15 Aug
mirage10–13-0.0918%15 Aug
ancient13–11-0.0421%15 Aug
inferno1–13-0.150%15 Aug
dust23–130.0216%15 Aug
ancient7–13-0.0728%15 Aug
dust210–13-0.0128%15 Aug
nuke13–100.0428%15 Aug
inferno13–6-0.0333%15 Aug
ancient13–110.0122%15 Aug
cache1–13-0.0324%15 Aug
train12–12-0.0614%13 Aug
train9–13-0.0115%12 Aug
cache6–13-0.0142%11 Aug
anubis14–16-0.0212%11 Aug
overpass12–12-0.0414%10 Aug
fachwerk12–12-0.0111%10 Aug
cache3–13-0.0621%9 Aug
dust213–90.0325%9 Aug
office6–130.0537%9 Aug
mirage6–20.0611%9 Aug
shelter12–12-0.048%8 Aug
nuke9–13-0.0814%8 Aug
mirage4–13-0.0428%8 Aug
cache13–11-0.0616%8 Aug
nuke16–13-0.0110%8 Aug
dust27–13-0.0423%8 Aug
office9–130.0730%5 Aug
overpass13–80.0427%5 Aug
office13–80.0625%5 Aug
inferno8–130.0110%1 Aug
vertigo9–13-0.0114%1 Aug
nuke12–12-0.0418%31 Jul
cache13–6-0.0018%31 Jul
mirage13–90.0123%31 Jul
ancient9–0-0.0029%31 Jul
mirage13–20.0712%31 Jul
office7–13-0.0021%31 Jul
vertigo13–90.1017%31 Jul
vertigo13–30.1116%31 Jul
nuke6–13-0.0421%30 Jul
dust212–12-0.057%30 Jul
anubis13–110.0013%30 Jul
mirage10–13-0.058%30 Jul
inferno13–30.1012%30 Jul
vertigo8–13-0.0415%29 Jul
mirage9–13-0.0720%28 Jul
cache14–160.009%27 Jul
anubis9–1-0.036%27 Jul
inferno4–9-0.0317%26 Jul
cache5–13-0.0520%26 Jul
mirage1–5-0.0311%26 Jul
dust26–13-0.0422%24 Jul
mirage9–130.0221%24 Jul
inferno4–13-0.039%23 Jul
nuke2–13-0.067%23 Jul

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 →