sheeeklouch

sheeeklouch — CS2 Stats

76561199379267494[U:1:1419001766]Steam profile ↗✓ No bans

1,970Tracked matches59%Win rate2023Tracked since
CSDB Rating4.6 DevelopingSupport
Premier CS Rating14,442Blue band · top ~31.4% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (5 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: 14,442 +5,168 22 Aug – 23 Oct · 25 days played
9,09214,442peak 14,44222 Aug23 Oct
14,442Peak Premier in tracked matches
1,065Highest Faceit ELO seen on CSDB
25Days played since 2026-08-22

Premier CS Rating

  • At peak — 14,442
  • +3,868 over 30 days · improving
  • Next: Purple band at 15,000 — 558 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light Blue band first seen 2026-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

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CSDB.GGsheeeklouchPREMIER14,442 · Blue bandPEAK ELO1,065csdb.gg/stats

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Performance scores

Aim41
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

HOT53–43–4Last 10053%Win rateWWLWWWLWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +1.3pp headshot accuracy · −40ms reaction

Win rate up 30pp 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 -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 598ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 616ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 636ms

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 (+0.9 against its own average).

Aim4.1
Utility5.2
Positioning4.8
Opening Duels4.1
Clutch3.2

Strong T-side opener

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 68% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 59% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.1
Positioning4.8
Utility5.2
Mechanics4.0
Opening Duels4.3
Win Impact7.9

Composite 4.6/10 (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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time631ms+71ms
first ⅓ avg 561ms → last ⅓ avg 631ms
Headshot accuracy15.0%−1.5%
first ⅓ avg 16.5% → last ⅓ avg 15.0%

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 · 13–9 · nuke, 23 Aug →
30%Best headshot accuracy · 13–5 · ancient, 23 Aug →
359msFastest reaction time · 13–3 · anubis, 23 Aug →
13–1Biggest win · dust2, 17 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
9–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 71% over 7cacheWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
anubisA2213–959%0.00
dust2B199–1047%-0.02
infernoB179–853%-0.02
ancientA1610–663%0.00
cacheD134–931%-0.03
nukeS75–271%0.02
mirageB63–350%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

20Matches
60%Win rate
0.87Avg K/D
78.1ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
57%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke540%0.8215.4
Anubis367%1.2823.0
Inferno367%0.6513.0
Cache250%0.6010.0
Mirage20%0.498.5
Ancient2100%1.0015.0
Vertigo1100%0.6815.0
Overpass1100%1.3811.0

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.

14.6%Headshot accuracy
34.9%Accuracy (enemy spotted)
30.2%Spray accuracy
67.9%Counter-strafing
11.9°Preaim
622msReaction time
58.5%T opening success
35.8%CT opening success
0.61Enemies flashed / flash
3.1%Flash assists
7.84HE damage / grenade
13.48Flashes / 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 14.6153% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 35.8143% — below the 40% mark we flag

Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.018%23 Oct →
inferno13–7-0.0121%23 Oct →
ancient4–130.0215%23 Oct →
dust213–1-0.0019%17 Oct →
anubis13–10-0.0317%17 Oct →
mirage13–100.0317%17 Oct →
cache9–13-0.0411%17 Oct →
nuke16–14-0.027%17 Oct →
anubis13–110.0118%17 Oct →
dust213–9-0.0216%16 Oct →
dust213–4-0.0810%26 Sept →
mirage13–3-0.0616%26 Sept →
dust215–15-0.0617%26 Sept →
cache7–13-0.0217%26 Sept →
anubis8–130.0419%26 Sept →
mirage8–13-0.085%26 Sept →
ancient13–11-0.0513%26 Sept →
anubis16–14-0.0212%26 Sept →
inferno13–80.0820%26 Sept →
cache11–13-0.0310%24 Sept →
ancient13–30.0011%24 Sept →
ancient13–50.0214%24 Sept →
cache13–10-0.0314%24 Sept →
mirage9–13-0.0529%23 Sept →
cache9–13-0.0019%23 Sept →
cache14–160.0016%20 Sept →
ancient10–13-0.0613%20 Sept →
anubis13–11-0.018%20 Sept →
mirage9–13-0.0916%20 Sept →
dust211–130.0315%20 Sept →
ancient3–130.0313%20 Sept →
nuke13–100.0429%20 Sept →
dust213–16-0.0311%20 Sept →
nuke13–60.0114%20 Sept →
anubis13–7-0.0421%20 Sept →
inferno8–8-0.0822%20 Sept →
ancient13–11-0.0018%19 Sept →
anubis9–130.0018%19 Sept →
ancient11–130.0313%19 Sept →
inferno6–13-0.098%16 Sept →
dust25–13-0.0418%12 Sept →
inferno1–13-0.0910%11 Sept →
dust29–13-0.0517%11 Sept →
dust211–13-0.0223%11 Sept →
anubis15–15-0.0110%11 Sept →
cache13–10-0.0522%11 Sept →
ancient13–60.0623%11 Sept →
dust213–10-0.0119%11 Sept →
dust213–11-0.0413%11 Sept →
inferno13–10-0.0115%9 Sept →
anubis13–6-0.0119%9 Sept →
inferno13–10-0.0012%9 Sept →
inferno7–13-0.0013%8 Sept →
anubis13–6-0.0216%8 Sept →
dust213–11-0.0224%8 Sept →
ancient9–130.0421%8 Sept →
anubis4–13-0.069%6 Sept →
dust213–50.0211%6 Sept →
inferno8–130.037%6 Sept →
dust211–13-0.0025%4 Sept →
ancient13–5-0.0014%4 Sept →
anubis8–13-0.0920%4 Sept →
cache2–13-0.0715%4 Sept →
dust213–100.0525%4 Sept →
dust215–150.0216%4 Sept →
inferno13–5-0.0323%4 Sept →
nuke13–110.0317%4 Sept →
anubis8–130.0513%3 Sept →
cache13–10-0.0015%3 Sept →
anubis13–9-0.029%2 Sept →
inferno9–13-0.0616%1 Sept →
dust23–13-0.0430%1 Sept →
anubis13–90.109%1 Sept →
inferno13–70.0221%31 Aug →
ancient13–2-0.0210%31 Aug →
nuke9–130.0223%28 Aug →
anubis11–130.0614%28 Aug →
anubis13–100.0819%28 Aug →
inferno13–2-0.0320%27 Aug →
ancient13–80.0113%27 Aug →
inferno13–100.0313%25 Aug →
inferno13–3-0.0011%25 Aug →
inferno6–9-0.1416%24 Aug →
dust213–16-0.0215%24 Aug →
inferno7–13-0.0116%24 Aug →
cache6–130.0119%23 Aug →
nuke13–90.1115%23 Aug →
dust213–100.0123%23 Aug →
anubis3–13-0.074%23 Aug →
ancient13–50.0530%23 Aug →
anubis13–30.0921%23 Aug →
ancient13–50.0025%22 Aug →
nuke11–13-0.0417%22 Aug →
anubis13–9-0.0218%22 Aug →
anubis13–70.0112%22 Aug →
cache16–13-0.0417%22 Aug →
ancient9–13-0.0711%22 Aug →
anubis9–130.0314%22 Aug →
cache9–13-0.0711%22 Aug →
cache11–13-0.0226%22 Aug →

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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