poe enjoyer🗿⃤⃢

poe enjoyer🗿⃤⃢ — CS2 Stats

PL76561198212887680[U:1:252621952]Steam profile ↗✓ No bans

908Tracked matches57%Win rate2020Tracked since
2,979Hours in CS20Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
CSDB Leaderboard#77897 of 261537 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,481 +3,268 29 Jul – 4 Sept · 22 days played
16,89122,558peak 22,55829 Jul4 Sept
22,558Peak Premier in tracked matches
35Days played since 2025-07-29

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 Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate27.1%45.7%46.8%19.7% short
Shot accuracy18.0%12.7%13.0%above
Kill/death ratio0.831.051.060.23 short
Match win rate53.0%45.7%46.3%above

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpoe enjoyer🗿⃤⃢FACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning52
Utility26

0–100 skill scores via Leetify.

Recent form

HOT51–46–3Last 10051%Win rateLWWWWWWWWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +1.5pp headshot accuracy · +99ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 650ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 601ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim6.1
Utility2.6
Positioning5.2
Opening Duels2.8
Clutch2.8

Strong CT-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 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 636ms 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

Aim6.1
Positioning5.2
Utility2.6
Mechanics7.2
Opening Duels3.8
Win Impact7.2

Composite 5.4/10 (Developing), 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 rating-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time629ms−75ms
first ⅓ avg 704ms → last ⅓ avg 629ms
Headshot accuracy18.5%+0.4%
first ⅓ avg 18.1% → last ⅓ avg 18.5%

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

0.08Best match rating · 7–13 · overpass, 6 Aug →
40%Best headshot accuracy · 13–4 · mirage, 25 Oct →
422msFastest reaction time · 13–7 · mirage, 26 Aug →
13–1Biggest win · train, 3 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 71% over 7nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA3118–1358%-0.03
ancientA2012–860%-0.03
overpassC114–736%-0.00
dust2A95–456%-0.04
nukeD93–633%-0.02
cacheS75–271%-0.03
trainC52–340%-0.01
inferno—42–250%0.00
vertigo—20–20%0.02
anubis—20–20%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,832Lifetime kills
0.83K/D
4,754Matches
53.0%Match win rate · Top 10% of Level 7 players
27.1%Headshot %
18.0%Shot accuracy · Top 10% of Level 7 players
10,054MVPs
1,930Hours (in match)
3,537Bombs planted
588Bombs defused

Most-used weapons

AK-4712,751
AWP7,530
Knife2,724
P901,939
SSG 081,516

Lifetime map wins

2,555inferno
2,522dust2
2,098vertigo
1,351nuke
400train
261cbble
223bank
211lake

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

Faceit stats

Combat

642Matches
51%Win rate
0.82Avg K/D
67.3ADR
40%Headshot %

Clutches & streaks

34%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5364%0.8913.0
Ancient1968%0.7512.2
Anubis1937%0.7511.6
Cache1567%0.8012.1
Vertigo1136%0.6511.4
Dust2862%0.8315.8
Inferno30%0.8918.0
Nuke333%0.758.7

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.

18.7%Headshot accuracy
32.0%Accuracy (enemy spotted)
30.5%Spray accuracy
82.4%Counter-strafing
9.2°Preaim
636msReaction time
38.5%T opening success
52.2%CT opening success
0.49Enemies flashed / flash
3.5%Flash assists
6.79HE damage / grenade
2.54Flashes / 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. 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 0.49 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 38.4779% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0624%11 Nov →
mirage13–4-0.0420%11 Nov →
mirage13–10-0.059%9 Nov →
cache13–11-0.0115%8 Nov →
ancient13–10-0.0211%27 Oct →
cache19–15-0.0625%26 Oct →
dust213–11-0.0420%25 Oct →
mirage13–40.0140%25 Oct →
cache13–20.0432%25 Oct →
vertigo11–13-0.0116%9 Oct →
cache13–100.0218%30 Sept →
vertigo5–130.0533%27 Sept →
anubis11–13-0.0017%19 Sept →
cache13–9-0.0629%19 Sept →
inferno2–130.0519%17 Sept →
cache5–13-0.0435%17 Sept →
ancient13–5-0.0219%17 Sept →
dust27–1-0.060%17 Sept →
anubis10–13-0.1114%17 Sept →
mirage13–20.0013%17 Sept →
ancient13–2-0.0314%4 Sept →
ancient9–13-0.058%3 Sept →
nuke16–14-0.0416%3 Sept →
mirage12–16-0.0411%2 Sept →
inferno6–13-0.029%1 Sept →
dust28–13-0.0223%1 Sept →
mirage13–8-0.0216%1 Sept →
mirage5–13-0.0327%1 Sept →
dust25–13-0.0415%31 Aug →
inferno13–90.0415%31 Aug →
mirage8–13-0.0811%31 Aug →
mirage12–12-0.0818%29 Aug →
mirage8–13-0.0518%29 Aug →
dust27–13-0.0213%29 Aug →
ancient9–13-0.0420%29 Aug →
mirage7–13-0.0712%29 Aug →
mirage13–70.0313%29 Aug →
mirage13–7-0.0525%26 Aug →
mirage11–13-0.0414%26 Aug →
mirage13–11-0.0113%26 Aug →
mirage13–6-0.0315%26 Aug →
dust27–13-0.0318%26 Aug →
ancient16–14-0.0918%25 Aug →
mirage13–7-0.0116%25 Aug →
dust213–9-0.0510%25 Aug →
overpass3–13-0.0618%25 Aug →
dust216–14-0.0721%24 Aug →
overpass5–13-0.0115%24 Aug →
nuke8–13-0.0717%24 Aug →
mirage13–6-0.0120%21 Aug →
nuke13–16-0.0228%21 Aug →
overpass10–13-0.0010%21 Aug →
ancient16–12-0.0310%21 Aug →
mirage11–13-0.049%21 Aug →
mirage4–13-0.114%21 Aug →
mirage1–13-0.0920%21 Aug →
dust213–90.0123%20 Aug →
ancient1–8-0.088%20 Aug →
ancient8–13-0.029%20 Aug →
overpass11–13-0.0412%19 Aug →
mirage2–13-0.087%16 Aug →
mirage12–12-0.0128%15 Aug →
ancient2–13-0.0426%15 Aug →
overpass13–9-0.0123%14 Aug →
overpass12–16-0.0317%6 Aug →
ancient13–9-0.0113%6 Aug →
overpass7–130.0815%6 Aug →
mirage13–6-0.0214%6 Aug →
mirage13–11-0.0026%6 Aug →
mirage16–130.0112%5 Aug →
train13–110.0328%5 Aug →
nuke16–13-0.0020%5 Aug →
ancient4–13-0.1214%5 Aug →
nuke5–13-0.0235%5 Aug →
mirage13–6-0.0618%5 Aug →
nuke11–13-0.0215%4 Aug →
train8–13-0.0616%4 Aug →
ancient13–10-0.0712%4 Aug →
mirage10–30.026%4 Aug →
mirage13–8-0.0317%4 Aug →
ancient13–110.0518%3 Aug →
overpass13–70.0616%3 Aug →
train13–10.0427%3 Aug →
overpass13–110.0221%2 Aug →
train14–16-0.0229%2 Aug →
ancient4–13-0.0733%1 Aug →
ancient13–2-0.0017%1 Aug →
mirage6–13-0.0616%1 Aug →
nuke13–30.0421%1 Aug →
ancient9–10.018%1 Aug →
ancient13–6-0.0222%1 Aug →
nuke7–13-0.0335%1 Aug →
ancient13–50.0425%1 Aug →
overpass10–13-0.0112%30 Jul →
overpass16–13-0.0210%30 Jul →
train15–15-0.0217%30 Jul →
nuke14–16-0.0510%30 Jul →
ancient11–13-0.0413%30 Jul →
mirage13–80.0215%29 Jul →
inferno6–0-0.070%29 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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