Aimyee

Aimyee — CS2 Stats

NL76561199049290694[U:1:1089024966]Steam profile ↗✓ No bans

369Tracked matches34%Win rate2023Tracked since
257Hours in CS
CSDB Rating3.8 LearningClutch Specialist
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,653 -44 29 Jun – 6 Jul · 5 days played
14,65314,893peak 14,89329 Jun6 Jul
14,999Peak Premier in tracked matches
26Days played since 2026-06-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

No matches recorded between 14 Sep 2026 and 14 Oct 2026.

Measured 14 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,888), 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 rate48.8%43.7%44.8%above
Shot accuracy2.4%12.0%12.4%10.1% short
Kill/death ratio1.071.021.03above
Match win rate47.8%44.7%45.2%above

This profile matches the typical Level 6 player on 3 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.GGAimyeeFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58
Positioning49
Utility12

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLWLLLLLLLL

Last 10 vs previous 10: −70pp win rate · +0.04 avg rating · −0.4pp headshot accuracy · +25ms reaction

Win rate down 70pp 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 (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 610ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 620ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 608ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.2 against its own average).

Aim5.8
Utility1.2
Positioning4.9
Opening Duels3.0
Clutch6.0

Strong T-side openerLimited 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

donk

Plays most like donk 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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. 597ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8
Positioning4.9
Utility1.2
Mechanics4.4
Opening Duels2.3
Win Impact0.0

Composite 3.8/10 (Learning), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time586ms−39ms
first ⅓ avg 624ms → last ⅓ avg 586ms
Headshot accuracy19.8%+3.4%
first ⅓ avg 16.5% → last ⅓ avg 19.8%

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

0.14Best match rating · 8–13 · nuke, 27 Aug →
41%Best headshot accuracy · 4–9 · vertigo, 31 Jul →
422msFastest reaction time · 19–15 · mirage, 20 Aug →
13–1Biggest win · ancient, 19 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 80% over 10trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%-0.01
nukeD184–1422%0.01
ancientS108–280%0.01
dust2C94–544%0.00
anubisD82–625%0.01
trainD61–517%0.05
infernoS64–267%0.02
shelter—43–175%0.01
vertigo—43–175%-0.02
italy—32–167%0.03
boulder—20–20%0.02
cache—20–20%-0.01
fachwerk—10–10%0.01
office—11–0100%0.08
overpass—10–10%-0.03
alpine—10–10%0.02

Across the last 100 tracked matches.

Lifetime stats

12,127Lifetime kills
1.07K/D · Top 50% of Level 5 players
881Matches
47.8%Match win rate · Top 25% of Level 5 players
48.8%Headshot % · Top 50% of Level 5 players
2.4%Shot accuracy
1,994MVPs
257Hours (in match)
581Bombs planted
380Bombs defused

Most-used weapons

Lifetime map wins

1,213inferno
894nuke
474dust2
378office
251train
249vertigo
155italy
41lake

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

Faceit stats

Combat

13Matches
69%Win rate
1.24Avg K/D
74.2ADR
50%Headshot %

Clutches & streaks

50%1v1 clutch win
36%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage667%1.0213.7
Dust2367%1.2317.0
Vertigo1100%1.5018.0
Anubis1100%1.3316.0
Nuke10%0.8814.0
Ancient1100%2.6013.0

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.

18.8%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.7%Spray accuracy
69.9%Counter-strafing
10.6°Preaim
597msReaction time
45.9%T opening success
32.3%CT opening success
0.14Enemies flashed / flash
2.8%Flash assists
7.01HE damage / grenade
1.62Flashes / 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 0.1373 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.305% — below the 40% mark we flag

Spend your practice time on Train

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0217%30 Aug →
shelter13–90.0115%29 Aug →
nuke8–130.1421%27 Aug →
nuke10–130.0411%27 Aug →
dust23–13-0.0516%27 Aug →
nuke1–80.1022%25 Aug →
train10–130.0930%25 Aug →
train1–130.0024%25 Aug →
boulder3–130.0223%25 Aug →
nuke11–130.1014%25 Aug →
mirage13–6-0.0414%23 Aug →
mirage5–130.0119%23 Aug →
dust213–110.0318%23 Aug →
mirage19–15-0.0121%20 Aug →
vertigo13–60.0017%20 Aug →
dust213–50.1024%19 Aug →
ancient13–10.0521%19 Aug →
mirage5–130.0319%19 Aug →
mirage13–10-0.0425%16 Aug →
mirage13–11-0.0520%16 Aug →
anubis12–16-0.0115%14 Aug →
nuke2–9-0.0714%3 Aug →
dust210–130.0124%31 Jul →
ancient13–6-0.0411%31 Jul →
anubis14–16-0.0517%31 Jul →
vertigo4–9-0.1041%31 Jul →
mirage14–16-0.0320%29 Jul →
nuke4–9-0.0416%27 Jul →
vertigo9–6-0.0218%24 Jul →
nuke4–9-0.1121%24 Jul →
vertigo9–30.0325%24 Jul →
nuke9–60.0923%24 Jul →
nuke9–40.0816%24 Jul →
inferno9–40.0932%24 Jul →
mirage2–13-0.0422%19 Jul →
nuke6–130.0313%19 Jul →
fachwerk0–40.0127%19 Jul →
nuke11–130.0214%19 Jul →
boulder12–120.0120%19 Jul →
italy10–13-0.1115%19 Jul →
mirage8–130.0317%19 Jul →
mirage13–90.0413%17 Jul →
dust24–13-0.0710%17 Jul →
shelter13–30.1010%14 Jul →
shelter6–13-0.0817%14 Jul →
mirage11–13-0.0611%14 Jul →
mirage4–13-0.0315%13 Jul →
nuke13–10-0.0313%13 Jul →
inferno15–15-0.0513%13 Jul →
mirage11–13-0.0710%13 Jul →
ancient13–8-0.117%13 Jul →
office13–10.089%13 Jul →
mirage16–14-0.0114%13 Jul →
ancient10–13-0.0419%12 Jul →
shelter13–30.0228%12 Jul →
ancient12–12-0.0521%6 Jul →
mirage13–10.0113%6 Jul →
ancient13–20.0719%6 Jul →
inferno13–60.1030%6 Jul →
nuke5–13-0.0314%6 Jul →
cache12–12-0.0222%6 Jul →
nuke8–130.0019%6 Jul →
inferno2–13-0.0915%6 Jul →
mirage11–13-0.027%6 Jul →
nuke13–50.049%6 Jul →
train2–130.0112%6 Jul →
anubis13–80.0517%5 Jul →
inferno13–40.0117%5 Jul →
mirage11–130.0718%5 Jul →
inferno13–70.0513%4 Jul →
nuke0–13-0.0310%4 Jul →
train6–13-0.0215%4 Jul →
overpass5–13-0.0317%4 Jul →
mirage10–13-0.016%4 Jul →
mirage5–13-0.0611%2 Jul →
mirage13–3-0.0915%2 Jul →
anubis6–13-0.0512%2 Jul →
dust29–13-0.0216%1 Jul →
mirage10–13-0.0310%1 Jul →
cache9–130.0130%1 Jul →
alpine8–130.0216%1 Jul →
italy13–40.1013%1 Jul →
ancient13–60.068%1 Jul →
dust213–20.0036%1 Jul →
anubis2–90.049%1 Jul →
anubis6–13-0.0417%1 Jul →
anubis13–40.0221%1 Jul →
nuke1–7-0.0320%1 Jul →
ancient13–40.0718%1 Jul →
mirage7–130.0212%30 Jun →
italy13–40.108%30 Jun →
train7–130.0818%30 Jun →
dust213–30.0316%30 Jun →
nuke3–13-0.0517%30 Jun →
mirage13–70.0826%30 Jun →
anubis10–130.0717%30 Jun →
mirage13–100.0721%30 Jun →
train13–100.1231%30 Jun →
ancient13–60.0014%29 Jun →
ancient13–20.1215%29 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 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.