Cuck "EIEsiLEIKI" Lingman

Cuck "EIEsiLEIKI" Lingman — CS2 Stats

76561199155973522[U:1:1195707794]Steam profile ↗✓ No bans

61Tracked matches53%Win rate2025Tracked since
153Hours in CS
CSDB Rating6.2 SolidPositional Player
Premier CS Rating14,970Blue band · top ~28.6% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 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: 14,970 +87 11 Nov – 12 Nov · 2 days played
14,88314,970peak 14,97011 Nov12 Nov
14,999Peak Premier in tracked matches
18Days played since 2025-06-09

Premier CS Rating

  • At peak — 14,970
  • Next: Purple band at 15,000 — 30 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=23,968), 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 rate46.8%42.0%44.4%above
Shot accuracy9.7%9.7%11.8%2.1% short
Kill/death ratio0.950.981.030.08 short
Match win rate46.7%43.8%45.3%above

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

Widest gap: Shot accuracy. 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.GGCuck "EIEsiLEIKI" LingmanPREMIER14,970 · Blue bandcsdb.gg/stats

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Performance scores

Aim78
Positioning68
Utility32

0–100 skill scores via Leetify.

Recent form

HOT37–22–2Last 6161%Win rateWLLLWWWWWW

Last 10 vs previous 10: +30pp win rate · −0.05 avg rating · −2.4pp headshot accuracy · +125ms reaction

Win rate up 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 (−0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 709ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 640ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 577ms

Newest first, from the last 61 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim7.8
Utility3.2
Positioning6.8
Opening Duels5.4

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 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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. 592ms 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

Aim7.8
Positioning6.8
Utility3.2
Mechanics7.6
Opening Duels6.0
Win Impact6.1

Composite 6.2/10 (Solid), 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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time577ms−91ms
first ⅓ avg 668ms → last ⅓ avg 577ms
Headshot accuracy23.8%−6.0%
first ⅓ avg 29.8% → last ⅓ avg 23.8%

Rolling 5-match average across the last 61 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.18Best match rating · 13–4 · mirage, 27 Oct →
67%Best headshot accuracy · 13–1 · dust2, 26 Oct →
422msFastest reaction time · 13–5 · ancient, 7 Nov →
13–0Biggest win · anubis, 11 Nov →

Across the last 61 tracked matches.

Highlights

9Longest win streak
3–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 71% over 7nukeWeakest map · 50% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA1912–763%0.05
anubisA149–564%0.05
dust2S75–271%-0.00
nukeB63–350%0.04
infernoS64–267%0.04
ancientA53–260%0.04
vertigo—31–233%-0.04
cache—10–10%0.01

Across the last 61 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,732Lifetime kills
0.95K/D
338Matches
46.7%Match win rate · Top 50% of Blue band
46.8%Headshot % · Top 50% of Blue band
9.7%Shot accuracy · Top 50% of Blue band
1,066MVPs
153Hours (in match)
352Bombs planted
81Bombs defused

Most-used weapons

Lifetime map wins

548lake
418nuke
395vertigo
186dust2
129inferno
21cbble
18train

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.1%Headshot accuracy
32.5%Accuracy (enemy spotted)
32.5%Spray accuracy
84.2%Counter-strafing
7.9°Preaim
592msReaction time
50.0%T opening success
57.8%CT opening success
0.43Enemies flashed / flash
2.5%Flash assists
5.13HE damage / grenade
4.98Flashes / 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 0.4335 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0228%12 Nov →
dust211–13-0.0125%12 Nov →
ancient8–13-0.0318%12 Nov →
mirage11–13-0.0421%11 Nov →
anubis13–00.1024%11 Nov →
nuke13–80.0122%11 Nov →
dust213–11-0.0526%11 Nov →
inferno13–10.0520%11 Nov →
anubis13–9-0.0127%11 Nov →
nuke13–90.0517%11 Nov →
ancient10–130.0028%10 Nov →
anubis14–160.0729%10 Nov →
cache11–130.0113%10 Nov →
anubis5–130.0124%9 Nov →
mirage13–60.0320%9 Nov →
mirage13–50.1324%8 Nov →
nuke4–130.0516%8 Nov →
vertigo9–60.1442%8 Nov →
anubis4–13-0.0233%7 Nov →
ancient13–50.1422%7 Nov →
anubis13–70.1429%6 Nov →
anubis13–30.0017%6 Nov →
nuke4–13-0.0217%5 Nov →
mirage7–13-0.0325%5 Nov →
anubis10–13-0.0514%4 Nov →
dust213–3-0.0244%4 Nov →
anubis13–50.0917%4 Nov →
inferno11–13-0.0227%2 Nov →
ancient13–100.1033%2 Nov →
mirage1–130.0232%31 Oct →
mirage13–90.0234%30 Oct →
vertigo3–9-0.1621%29 Oct →
vertigo2–9-0.109%29 Oct →
nuke8–80.0857%29 Oct →
inferno6–9-0.0329%29 Oct →
mirage7–130.0328%29 Oct →
mirage13–110.0621%29 Oct →
mirage13–10.1337%27 Oct →
dust212–120.0340%27 Oct →
mirage13–40.1156%27 Oct →
inferno13–40.1524%27 Oct →
mirage13–40.1837%27 Oct →
ancient13–8-0.0124%27 Oct →
dust213–70.0620%27 Oct →
mirage13–40.0228%27 Oct →
mirage13–60.0416%26 Oct →
inferno13–60.0341%26 Oct →
dust213–1-0.0467%26 Oct →
mirage10–130.0725%26 Oct →
anubis10–130.0530%26 Oct →
mirage13–100.0226%26 Oct →
mirage5–130.0533%25 Oct →
anubis13–90.0920%25 Oct →
mirage13–20.1123%25 Oct →
inferno13–40.0436%25 Oct →
mirage11–13-0.0136%25 Oct →
anubis13–90.1019%25 Oct →
nuke13–30.0825%25 Oct →
dust213–80.0343%22 Oct →
anubis13–110.0216%22 Oct →
anubis13–80.0932%9 Jun →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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