Alien E

Alien E — CS2 Stats

FI76561198969607594[U:1:1009341866]Steam profile ↗✓ No bans

1,598Tracked matches38%Win rate2020Tracked since
2,789Hours in CS47Hrs last 2 wks
CSDB Rating4.9 DevelopingClutch Specialist
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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.

Rating over time

Premier CS Rating: 10,000 +708 15 Oct – 2 Nov · 8 days played
9,29210,115peak 10,11515 Oct2 Nov
10,115Peak Premier in tracked matches
18Days played since 2026-10-12

Premier CS Rating

  • 115 below peak (10,115)
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate48.0%42.0%44.4%above
Shot accuracy11.7%9.6%11.9%meets
Kill/death ratio0.670.981.030.37 short
Match win rate40.3%43.8%45.2%4.9% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGAlien EPREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning47
Utility46

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateLLLLLWLLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.8pp headshot accuracy · −40ms reaction

Win rate −10pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 667ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 658ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 678ms

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 (+3.6 against its own average).

Aim6.6
Utility4.6
Positioning4.7
Opening Duels0.4
Clutch8.0

Excellent counter-strafingReliable in 1v1s

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 88% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; 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

Reaction time. 692ms 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

Aim6.6
Positioning4.7
Utility4.6
Mechanics8.6
Opening Duels1.9
Win Impact1.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time695ms−50ms
first ⅓ avg 745ms → last ⅓ avg 695ms
Headshot accuracy21.7%−1.5%
first ⅓ avg 23.1% → last ⅓ avg 21.7%

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 · 13–1 · mirage, 26 Oct →
50%Best headshot accuracy · 13–2 · mirage, 26 Oct →
516msFastest reaction time · 13–5 · nuke, 3 Nov →
13–1Biggest win · mirage, 26 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L5Current streak
4–3In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 67% over 6dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB199–1047%-0.02
cacheD165–1131%-0.02
nukeA148–657%-0.01
anubisC114–736%-0.01
dust2D113–827%-0.04
ancientA106–460%-0.01
infernoD72–529%-0.00
overpassS64–267%-0.04
train—41–325%-0.03
vertigo—10–10%-0.06
office—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,323Lifetime kills
0.67K/D
3,266Matches
40.3%Match win rate
48.0%Headshot % · Top 25% of Blue band
11.7%Shot accuracy · Top 50% of Blue band
5,590MVPs
1,259Hours (in match)
6,605Bombs planted
506Bombs defused

Most-used weapons

Lifetime map wins

5,761inferno
4,669nuke
1,949dust2
1,731train
695vertigo
166cbble
39office
28stmarc

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

Faceit stats

Combat

174Matches
46%Win rate
0.56Avg K/D
59.6ADR
43%Headshot %

Clutches & streaks

60%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage540%0.548.0
Anubis5100%0.9112.0
Dust2450%0.8212.0
Ancient367%0.7311.0
Nuke250%0.408.0
Inferno250%0.6111.5
Cache250%0.9210.5

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.

21.1%Headshot accuracy
33.8%Accuracy (enemy spotted)
39.7%Spray accuracy
88.9%Counter-strafing
11.6°Preaim
692msReaction time
44.4%T opening success
30.7%CT opening success
0.46Enemies flashed / flash
2.5%Flash assists
7.85HE damage / grenade
9.49Flashes / 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 0.4619 — 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 30.6639% — 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.

27% win rate across 11 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
anubis10–13-0.0030%4 Nov →
mirage6–13-0.0116%4 Nov →
dust26–13-0.0515%4 Nov →
overpass6–13-0.0019%3 Nov →
inferno2–13-0.0217%3 Nov →
nuke13–50.0313%3 Nov →
cache0–13-0.0623%3 Nov →
mirage8–130.0018%2 Nov →
cache4–13-0.0215%30 Oct →
cache13–60.0631%30 Oct →
nuke8–130.0423%30 Oct →
mirage3–13-0.0629%30 Oct →
dust213–8-0.0233%29 Oct →
cache13–6-0.0321%29 Oct →
mirage7–130.0328%29 Oct →
nuke5–130.0126%29 Oct →
mirage13–60.0318%28 Oct →
ancient8–13-0.0114%28 Oct →
anubis9–13-0.0714%28 Oct →
nuke9–13-0.0611%28 Oct →
cache13–11-0.0515%28 Oct →
dust213–9-0.0221%28 Oct →
dust213–9-0.0115%28 Oct →
anubis1–13-0.0520%28 Oct →
mirage13–7-0.0421%28 Oct →
nuke12–120.0019%27 Oct →
mirage6–13-0.0719%27 Oct →
overpass13–5-0.0435%27 Oct →
mirage13–10-0.0239%27 Oct →
cache7–13-0.0313%27 Oct →
anubis3–13-0.0431%27 Oct →
ancient12–120.0219%27 Oct →
overpass1–9-0.1433%27 Oct →
mirage5–13-0.074%27 Oct →
overpass13–2-0.0716%26 Oct →
cache12–12-0.0329%26 Oct →
anubis12–12-0.0214%26 Oct →
mirage13–2-0.0150%26 Oct →
inferno4–130.0224%26 Oct →
ancient13–4-0.0114%26 Oct →
nuke13–10-0.0017%26 Oct →
train0–9-0.0638%26 Oct →
mirage13–10.0919%26 Oct →
inferno9–13-0.0538%25 Oct →
nuke12–12-0.0613%25 Oct →
cache12–12-0.0225%25 Oct →
overpass13–5-0.0332%25 Oct →
anubis13–60.0117%25 Oct →
nuke13–6-0.0126%25 Oct →
inferno13–4-0.0112%25 Oct →
vertigo4–13-0.0614%25 Oct →
ancient13–7-0.0130%25 Oct →
train5–130.0029%25 Oct →
inferno11–13-0.0323%23 Oct →
dust29–13-0.1117%23 Oct →
cache13–110.0218%23 Oct →
dust210–13-0.0521%23 Oct →
cache8–13-0.0518%23 Oct →
anubis9–130.0620%23 Oct →
nuke13–9-0.0727%23 Oct →
cache6–13-0.0836%19 Oct →
anubis5–13-0.0218%19 Oct →
dust23–13-0.0916%19 Oct →
office11–13-0.0814%19 Oct →
anubis13–70.0219%19 Oct →
mirage13–6-0.0611%19 Oct →
nuke13–30.0111%19 Oct →
cache13–3-0.0119%19 Oct →
nuke13–5-0.0719%19 Oct →
inferno13–90.0725%18 Oct →
mirage13–70.0120%17 Oct →
inferno10–13-0.0138%17 Oct →
anubis13–11-0.0024%17 Oct →
dust21–13-0.0733%17 Oct →
ancient13–9-0.0515%17 Oct →
mirage6–13-0.0320%17 Oct →
ancient13–8-0.0924%16 Oct →
ancient5–13-0.0524%16 Oct →
cache5–13-0.0411%16 Oct →
dust26–13-0.0222%15 Oct →
cache8–13-0.0620%15 Oct →
mirage13–7-0.0223%15 Oct →
train11–13-0.0437%15 Oct →
mirage12–120.0222%15 Oct →
ancient13–50.0018%15 Oct →
dust210–130.0020%14 Oct →
ancient3–13-0.0223%14 Oct →
mirage9–130.0532%14 Oct →
nuke6–13-0.0218%14 Oct →
cache8–13-0.0131%14 Oct →
nuke13–30.0238%13 Oct →
overpass13–90.0221%13 Oct →
dust22–13-0.0412%13 Oct →
train13–11-0.0432%13 Oct →
mirage6–13-0.146%13 Oct →
anubis13–60.0222%13 Oct →
cache7–130.0134%13 Oct →
mirage13–5-0.0024%13 Oct →
ancient13–90.0819%13 Oct →
nuke13–8-0.0218%12 Oct →

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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