BMW ENJOYER

BMW ENJOYER — CS2 Stats

EE76561198169496145[U:1:209230417]Steam profile ↗✓ No bans

2,017Tracked matches50%Win rate2020Tracked since
2,771Hours in CS23Hrs last 2 wks
CSDB Rating3.2 LearningClutch Specialist
Premier CS Rating7,890Light Blue band · top ~65% of ranked players (population est.)
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 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: 7,890 -1,570 16 Sept – 21 Oct · 22 days played
7,12511,111peak 11,11116 Sept21 Oct
11,828Peak Premier in tracked matches
23Days played since 2026-09-16

Premier CS Rating

  • 3,221 below peak (11,111)
  • -3,221 over 30 days · declining
  • Next: Blue band at 10,000 — 2,110 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate35.6%39.9%42.0%6.4% short
Shot accuracy14.7%7.0%9.6%above
Kill/death ratio0.890.920.980.08 short
Match win rate40.8%42.3%43.8%3.0% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGBMW ENJOYERPREMIER7,890 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim41
Positioning52
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateLLWLLWWWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +1.5pp headshot accuracy · +41ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 623ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 651ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 631ms

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 (+5.4 against its own average).

Aim4.1
Utility1.2
Positioning5.2
Opening Duels2.2
Clutch10.0

Limited utility dependenceReliable 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

donk

Plays most like donk 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 60% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% 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
Positioning5.2
Utility1.2
Mechanics1.0
Opening Duels4.3
Win Impact5.0

Composite 3.2/10 (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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time610ms+13ms
first ⅓ avg 598ms → last ⅓ avg 610ms
Headshot accuracy9.1%−2.0%
first ⅓ avg 11.1% → last ⅓ avg 9.1%

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

0.14Best match rating · 13–2 · mirage, 20 Oct →
30%Best headshot accuracy · 11–13 · cache, 27 Sept →
438msFastest reaction time · 5–13 · anubis, 26 Sept →
13–1Biggest win · inferno, 18 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
10–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 86% over 7cacheWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC218–1338%-0.02
anubisC197–1237%-0.02
dust2C187–1139%-0.02
cacheD155–1033%-0.03
infernoB126–650%-0.02
nukeA85–363%-0.01
ancientS76–186%-0.02

Across the last 100 tracked matches.

Lifetime stats

61,953Lifetime kills
0.89K/D
3,855Matches
40.8%Match win rate
35.6%Headshot %
14.7%Shot accuracy · Top 25% of Light Blue band
6,583MVPs
1,384Hours (in match)
3,066Bombs planted
635Bombs defused

Most-used weapons

AK-4717,402
AUG8,245
SG 5533,883
AWP3,753
MP71,951

Lifetime map wins

6,156inferno
3,849dust2
3,531nuke
1,878vertigo
457train
436office
175cbble
90lake

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

Faceit stats

Combat

18Matches
39%Win rate
0.53Avg K/D
64.2ADR
30%Headshot %

Clutches & streaks

75%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust23100%0.8212.0
Anubis20%0.468.0
Nuke20%0.5410.5
Mirage1100%1.0014.0
Inferno10%0.479.0

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.

8.9%Headshot accuracy
35.9%Accuracy (enemy spotted)
37.7%Spray accuracy
54.3%Counter-strafing
8.5°Preaim
621msReaction time
59.6%T opening success
34.8%CT opening success
0.18Enemies flashed / flash
2.4%Flash assists
9.05HE damage / grenade
0.52Flashes / 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 8.8918% — 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 0.1756 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 34.7695% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage4–130.0410%21 Oct →
mirage3–13-0.019%21 Oct →
ancient13–10-0.0314%21 Oct →
anubis11–13-0.0411%21 Oct →
inferno2–13-0.0412%20 Oct →
ancient13–5-0.039%20 Oct →
mirage13–10-0.016%20 Oct →
inferno13–40.0010%20 Oct →
anubis8–130.017%20 Oct →
mirage13–20.148%20 Oct →
cache13–11-0.0212%20 Oct →
anubis5–13-0.0611%20 Oct →
ancient13–11-0.037%17 Oct →
anubis8–13-0.088%14 Oct →
anubis7–130.0010%14 Oct →
inferno13–8-0.062%13 Oct →
cache13–10-0.043%13 Oct →
mirage3–13-0.1012%13 Oct →
dust213–16-0.086%12 Oct →
inferno11–130.059%12 Oct →
inferno12–160.0111%12 Oct →
mirage2–13-0.0413%12 Oct →
mirage13–7-0.0226%11 Oct →
nuke13–5-0.028%11 Oct →
anubis5–13-0.0110%11 Oct →
ancient13–90.036%11 Oct →
cache16–140.069%11 Oct →
mirage5–13-0.002%10 Oct →
anubis13–110.057%10 Oct →
cache13–7-0.022%10 Oct →
nuke9–130.027%10 Oct →
dust213–110.0113%10 Oct →
anubis13–90.0711%9 Oct →
cache10–13-0.0319%9 Oct →
anubis13–30.0111%9 Oct →
cache8–13-0.0316%9 Oct →
cache3–13-0.0414%9 Oct →
ancient7–130.0315%9 Oct →
mirage16–12-0.025%8 Oct →
ancient13–6-0.0817%8 Oct →
dust26–13-0.0115%8 Oct →
anubis13–60.0122%8 Oct →
inferno13–9-0.019%6 Oct →
inferno13–6-0.047%6 Oct →
dust213–110.0111%6 Oct →
anubis11–13-0.0114%6 Oct →
mirage14–16-0.0611%5 Oct →
dust22–13-0.0320%5 Oct →
dust22–13-0.085%5 Oct →
anubis4–13-0.0618%4 Oct →
anubis13–11-0.0514%4 Oct →
dust210–13-0.0724%4 Oct →
nuke13–10-0.0114%4 Oct →
dust213–9-0.029%4 Oct →
cache13–2-0.0220%4 Oct →
mirage16–13-0.068%4 Oct →
cache4–13-0.0610%4 Oct →
dust24–13-0.0213%4 Oct →
inferno10–13-0.0219%4 Oct →
inferno9–130.0114%3 Oct →
mirage9–13-0.0316%3 Oct →
cache8–130.0013%3 Oct →
cache14–16-0.0620%29 Sept →
dust27–13-0.0210%29 Sept →
cache0–13-0.0710%29 Sept →
dust212–160.0318%27 Sept →
cache11–13-0.0230%27 Sept →
mirage10–130.0613%27 Sept →
dust213–100.0011%27 Sept →
nuke13–10-0.054%27 Sept →
dust27–130.0215%27 Sept →
mirage5–13-0.097%26 Sept →
cache3–13-0.050%26 Sept →
anubis5–130.016%26 Sept →
anubis4–13-0.093%26 Sept →
inferno6–13-0.0510%26 Sept →
dust210–13-0.0612%26 Sept →
anubis13–60.059%26 Sept →
mirage5–13-0.0816%26 Sept →
anubis13–80.0110%26 Sept →
nuke11–13-0.045%26 Sept →
mirage13–9-0.025%26 Sept →
nuke16–130.017%26 Sept →
mirage10–13-0.0515%25 Sept →
nuke4–13-0.0916%21 Sept →
anubis4–13-0.0711%21 Sept →
ancient13–10-0.0213%19 Sept →
mirage13–11-0.0410%19 Sept →
anubis8–13-0.0516%19 Sept →
dust214–16-0.025%19 Sept →
dust213–7-0.0219%19 Sept →
cache6–13-0.0218%19 Sept →
mirage15–15-0.0612%18 Sept →
dust213–100.0214%18 Sept →
inferno13–10-0.0212%18 Sept →
inferno13–1-0.043%18 Sept →
mirage8–13-0.0513%18 Sept →
dust213–11-0.0230%17 Sept →
nuke13–90.0614%17 Sept →
mirage13–11-0.0117%16 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.