Aileeh

Aileeh — CS2 Stats

NO76561198060350437[U:1:100084709]Steam profile ↗✓ No bans

1,257Tracked matches37%Win rate2021Tracked since
3,329Hours in CS1Hrs last 2 wks
CSDB Rating3.3 LearningSupport
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 715 → 715
+4Tracked matches · now 1,257
+13.3ppWin rate · 23.3% → 36.7%

Rating over time

Premier CS Rating: 10,332 +2,727 26 Oct – 10 Jun · 16 days played
7,60513,666peak 13,66626 Oct10 Jun
13,666Peak Premier in tracked matches
715Highest Faceit ELO seen on CSDB
33Days played since 2025-07-20

Faceit ELO

  • At peak — 715
  • Next: Level 3 at 751 — 36 to go
  • Reached: Level 2
  • Level 2 first seen 2026-09-13

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches6——
Win rate83%——
K/D0.86——
Headshot %47%——

Measured 13 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.

Share this profile

CSDB.GGAileehPEAK ELO715csdb.gg/stats

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Performance scores

Aim49
Positioning35
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateWWWWLLLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −1.3pp headshot accuracy · −83ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 559ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 573ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 615ms

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 (+1.7 against its own average).

Aim4.9
Utility3.8
Positioning3.5
Opening Duels0.0
Clutch1.0

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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 584ms 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

Aim4.9
Positioning3.5
Utility3.8
Mechanics5.6
Opening Duels0.4
Win Impact0.6

Composite 3.3/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time589ms−74ms
first ⅓ avg 663ms → last ⅓ avg 589ms
Headshot accuracy13.6%−0.7%
first ⅓ avg 14.3% → last ⅓ avg 13.6%

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

0.10Best match rating · 9–2 · overpass, 16 Jan →
46%Best headshot accuracy · 9–1 · inferno, 16 Jan →
383msFastest reaction time · 13–2 · cache, 25 Sept →
13–2Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
6–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

overpassBest map · 57% over 14dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD2910–1934%-0.03
ancientD175–1229%-0.05
overpassA148–657%-0.02
mirageB115–645%-0.04
nukeB84–450%-0.04
dust2D61–517%-0.02
anubisB63–350%-0.04
cache—43–175%-0.01
train—41–325%-0.04
rooftop—10–10%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,771Lifetime kills
0.88K/D
3,851Matches
39.8%Match win rate
38.7%Headshot %
14.1%Shot accuracy · Top 50% of tracked players
4,499MVPs
1,632Hours (in match)
4,253Bombs planted
647Bombs defused

Most-used weapons

AK-4721,835
AWP3,367
P2502,437
UMP-451,594
Tec-91,467
FAMAS1,368
P901,219

Lifetime map wins

8,042inferno
3,395dust2
1,521nuke
715train
640cbble
264vertigo
116safehouse
51lake

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

Faceit stats

Combat

558Matches
49%Win rate
0.75Avg K/D
56.4ADR
33%Headshot %

Clutches & streaks

25%1v1 clutch win
9%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient2446%0.598.6
Mirage2143%0.7611.5
Inferno2045%0.639.7
Anubis1457%0.508.6
Overpass1145%0.499.9
Dust2667%0.619.3
Train650%0.7811.3
Cache450%0.487.3

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.

13.9%Headshot accuracy
30.2%Accuracy (enemy spotted)
30.8%Spray accuracy
75.0%Counter-strafing
9.9°Preaim
584msReaction time
23.9%T opening success
33.3%CT opening success
0.47Enemies flashed / flash
3.5%Flash assists
6.08HE damage / grenade
5.54Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.9226% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4746 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 23.8769% — below the 40% mark we flag

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.

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–40.0512%3 Oct →
cache13–2-0.029%3 Oct →
cache13–20.0012%25 Sept →
cache13–20.0320%25 Sept →
inferno8–13-0.0811%23 Aug →
mirage10–13-0.0919%2 Aug →
inferno11–13-0.0215%2 Aug →
inferno9–13-0.059%14 Jul →
dust211–13-0.0013%14 Jul →
anubis13–6-0.0323%14 Jul →
ancient11–13-0.0414%14 Jul →
cache4–13-0.0515%14 Jul →
mirage5–13-0.0526%10 Jun →
nuke1–13-0.096%10 Jun →
inferno16–120.0121%10 Jun →
inferno11–13-0.0026%30 May →
dust23–13-0.1011%30 May →
ancient13–9-0.0715%30 May →
mirage13–10-0.0314%30 May →
nuke5–13-0.028%22 May →
mirage13–70.036%22 May →
ancient6–13-0.0915%22 May →
anubis8–13-0.0713%22 May →
ancient10–13-0.0811%30 Apr →
mirage5–13-0.0125%10 Apr →
ancient9–13-0.0711%10 Apr →
inferno7–13-0.038%10 Apr →
overpass13–70.057%3 Apr →
ancient13–50.0117%3 Apr →
inferno8–13-0.093%3 Apr →
anubis6–13-0.0712%3 Apr →
inferno4–13-0.1111%3 Apr →
overpass7–13-0.0413%3 Apr →
nuke3–13-0.065%29 Mar →
dust26–13-0.039%29 Mar →
inferno7–13-0.0815%29 Mar →
dust216–14-0.0314%15 Mar →
inferno4–13-0.0411%15 Mar →
mirage6–13-0.1121%15 Mar →
ancient8–13-0.0610%15 Mar →
inferno8–130.0126%15 Mar →
overpass9–130.0214%14 Mar →
nuke13–9-0.0316%14 Mar →
inferno8–13-0.0513%9 Mar →
overpass5–13-0.0519%9 Mar →
ancient11–13-0.057%9 Mar →
inferno4–13-0.0417%9 Mar →
anubis13–5-0.036%1 Mar →
inferno15–15-0.0413%1 Mar →
overpass11–8-0.0214%14 Feb →
anubis5–13-0.0210%14 Feb →
inferno13–4-0.0310%14 Feb →
inferno13–7-0.0419%12 Feb →
overpass13–5-0.059%23 Jan →
nuke13–11-0.073%23 Jan →
inferno13–11-0.0318%23 Jan →
mirage13–4-0.019%23 Jan →
ancient11–13-0.0626%23 Jan →
anubis13–8-0.0218%23 Jan →
overpass9–20.1013%16 Jan →
overpass7–9-0.1115%16 Jan →
inferno9–4-0.0219%16 Jan →
rooftop7–9-0.0917%16 Jan →
inferno9–10.0446%16 Jan →
nuke5–13-0.019%3 Jan →
overpass13–4-0.044%3 Jan →
ancient2–13-0.067%3 Jan →
inferno16–13-0.077%3 Jan →
mirage13–6-0.067%17 Dec →
inferno13–16-0.067%17 Dec →
overpass13–70.0412%17 Dec →
inferno15–15-0.069%12 Dec →
mirage8–13-0.0714%12 Dec →
overpass13–11-0.037%9 Dec →
ancient9–13-0.0618%9 Dec →
train9–13-0.0517%9 Dec →
train15–150.0022%5 Dec →
mirage11–13-0.0216%5 Dec →
overpass10–13-0.0017%5 Dec →
ancient7–30.0516%5 Dec →
inferno13–100.049%15 Nov →
dust28–130.0415%15 Nov →
ancient12–16-0.028%15 Nov →
dust215–150.029%9 Nov →
inferno13–11-0.058%9 Nov →
train13–10-0.0416%26 Oct →
mirage13–30.0311%26 Oct →
ancient9–13-0.0624%26 Oct →
inferno15–15-0.0415%25 Oct →
overpass16–12-0.049%25 Oct →
inferno8–13-0.0120%6 Oct →
ancient13–11-0.0717%6 Oct →
inferno3–13-0.0621%26 Jul →
nuke13–100.0215%23 Jul →
ancient4–13-0.0817%23 Jul →
nuke16–13-0.0419%23 Jul →
overpass8–13-0.0818%23 Jul →
ancient13–60.0112%20 Jul →
inferno15–15-0.0222%20 Jul →
train15–15-0.0820%20 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 →

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