bmw enjoyer — CS2 Stats

76561198405143266[U:1:444877538]✓ No bans

448Tracked matches53%Win rate2021Tracked since

1,410Hours in CS28Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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.

Metric	This player	Purple band median	Pink band median	vs Pink band
Headshot rate	36.5%	44.1%	47.2%	10.8% short
Shot accuracy	11.6%	11.4%	12.7%	1.2% short
Kill/death ratio	1.06	1.03	1.09	0.03 short
Match win rate	41.5%	45.2%	46.6%	5.1% short

This profile sits below the typical Pink band player on every metric we can compare.

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

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Performance scores

Aim78

Positioning50

Utility48

0–100 skill scores via Leetify.

Recent form

HOT56–44Last 10056%Win rateWWWLLWLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression7.7

Utility4.8

Positioning5.0

Opening Duels3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like ropz 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.8

Positioning5.0

Utility4.8

Mechanics6.3

Opening Duels3.4

Win Impact6.1

Composite 6.0/10 (Solid), 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 rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time556ms−45ms

first ⅓ avg 601ms → last ⅓ avg 556ms

Headshot accuracy19.1%+0.0%

first ⅓ avg 19.1% → last ⅓ avg 19.1%

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.

Highlights

0.13Best rating — inferno 4–13

13–0Biggest win — dust2

7Longest win streak

W3Current streak

9–12In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 83% over 6cacheWeakest map · 44% over 16

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	25	16–9	64%	0.02
ancient	A	23	14–9	61%	0.02
anubis	B	20	10–10	50%	-0.01
cache	C	16	7–9	44%	0.02
dust2	S	6	5–1	83%	0.01
mirage	B	6	3–3	50%	0.01
inferno	—	4	1–3	25%	0.02

Across the last 100 tracked matches.

Lifetime stats

38,471Lifetime kills

1.06K/D · Top 50% of Purple band

1,794Matches

41.5%Match win rate

36.5%Headshot %

11.6%Shot accuracy · Top 50% of Purple band

4,398MVPs

681Hours (in match)

1,971Bombs planted

334Bombs defused

Most-used weapons

AK-4711,591

AWP7,726

M4A4 / M4A1-S5,761

P2000 / USP-S1,925

Desert Eagle1,783

Glock-181,547

Galil AR794

MAC-10774

FAMAS646

AUG600

Lifetime map wins

2,265inferno

1,939dust2

1,812office

1,779nuke

1,548vertigo

37train

13ar_shoots

9italy

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.

19.2%Headshot accuracy

35.1%Accuracy (enemy spotted)

38.9%Spray accuracy

78.5%Counter-strafing

8.9°Preaim

547msReaction time

41.2%T opening success

45.9%CT opening success

0.62Enemies flashed / flash

4.3%Flash assists

8.02HE damage / grenade

6.46Flashes / match

Recommended for you

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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–9	0.01	15%	29 Aug →
ancient	13–11	0.02	15%	29 Aug →
ancient	13–10	-0.02	10%	29 Aug →
ancient	11–13	-0.06	16%	29 Aug →
nuke	10–13	-0.07	27%	29 Aug →
anubis	13–4	-0.02	23%	28 Aug →
dust2	11–13	0.04	20%	28 Aug →
cache	13–8	0.09	30%	27 Aug →
nuke	13–6	0.03	15%	27 Aug →
nuke	13–8	0.00	28%	25 Aug →
anubis	13–7	-0.03	13%	25 Aug →
mirage	9–13	-0.02	15%	25 Aug →
ancient	11–13	-0.03	18%	24 Aug →
dust2	13–7	0.00	18%	24 Aug →
dust2	13–6	0.02	26%	24 Aug →
ancient	11–13	0.06	28%	24 Aug →
ancient	13–11	0.00	26%	24 Aug →
mirage	5–13	-0.00	16%	23 Aug →
cache	4–13	-0.04	13%	23 Aug →
anubis	13–11	-0.01	19%	21 Aug →
inferno	11–13	-0.03	7%	20 Aug →
ancient	10–13	-0.02	25%	17 Aug →
mirage	13–11	0.03	31%	16 Aug →
nuke	6–13	-0.02	10%	16 Aug →
nuke	13–11	0.12	27%	16 Aug →
ancient	9–13	0.02	26%	16 Aug →
anubis	1–13	-0.08	17%	16 Aug →
nuke	13–5	0.02	12%	16 Aug →
mirage	13–8	0.04	15%	16 Aug →
cache	6–13	-0.03	8%	15 Aug →
cache	11–13	-0.01	16%	15 Aug →
anubis	13–8	-0.03	18%	15 Aug →
dust2	13–0	0.05	29%	15 Aug →
cache	13–8	0.02	22%	15 Aug →
dust2	13–1	0.01	8%	15 Aug →
inferno	8–13	-0.01	28%	14 Aug →
nuke	9–13	0.02	33%	14 Aug →
nuke	13–6	0.09	27%	14 Aug →
cache	4–13	-0.02	19%	12 Aug →
cache	6–13	0.03	17%	12 Aug →
anubis	16–13	0.02	21%	10 Aug →
ancient	13–11	-0.02	15%	10 Aug →
anubis	13–4	0.11	23%	10 Aug →
nuke	13–5	-0.02	9%	10 Aug →
nuke	14–16	0.07	29%	10 Aug →
nuke	13–5	0.04	18%	10 Aug →
nuke	16–13	0.05	17%	9 Aug →
mirage	8–13	-0.06	26%	9 Aug →
anubis	16–14	-0.02	15%	9 Aug →
anubis	5–13	-0.03	25%	9 Aug →
nuke	5–13	0.01	17%	9 Aug →
nuke	7–13	-0.01	23%	9 Aug →
ancient	13–11	0.01	13%	9 Aug →
nuke	13–3	-0.04	23%	9 Aug →
ancient	16–14	0.00	20%	7 Aug →
cache	13–4	0.05	23%	7 Aug →
ancient	13–8	0.10	26%	7 Aug →
nuke	13–10	-0.01	24%	7 Aug →
ancient	13–8	0.01	23%	7 Aug →
cache	10–13	0.08	26%	5 Aug →
nuke	13–10	0.09	21%	5 Aug →
ancient	13–9	0.12	24%	5 Aug →
anubis	8–13	-0.04	23%	5 Aug →
nuke	10–13	0.07	20%	4 Aug →
anubis	6–13	-0.02	21%	4 Aug →
ancient	14–16	-0.01	19%	2 Aug →
anubis	11–13	0.01	7%	2 Aug →
cache	8–1	-0.01	7%	2 Aug →
ancient	13–7	0.01	25%	2 Aug →
anubis	13–10	0.01	18%	2 Aug →
anubis	3–13	0.00	8%	2 Aug →
anubis	13–9	-0.01	11%	2 Aug →
dust2	13–7	-0.05	13%	2 Aug →
anubis	11–13	0.04	17%	1 Aug →
ancient	11–13	-0.03	10%	1 Aug →
nuke	13–4	0.04	12%	1 Aug →
cache	10–13	0.04	22%	1 Aug →
cache	13–8	0.00	20%	1 Aug →
nuke	10–13	0.01	16%	1 Aug →
nuke	13–5	0.02	23%	1 Aug →
anubis	13–8	-0.06	13%	1 Aug →
ancient	13–5	0.10	26%	30 Jul →
anubis	8–13	-0.00	10%	29 Jul →
cache	7–13	0.04	15%	29 Jul →
anubis	6–13	-0.03	26%	29 Jul →
ancient	13–5	0.11	38%	29 Jul →
nuke	13–3	0.05	23%	29 Jul →
ancient	10–13	0.01	18%	28 Jul →
ancient	10–13	0.02	18%	27 Jul →
anubis	12–16	0.03	21%	27 Jul →
ancient	13–4	0.06	26%	27 Jul →
cache	13–10	0.03	15%	27 Jul →
inferno	4–13	0.13	9%	27 Jul →
mirage	13–2	0.09	23%	27 Jul →
inferno	13–8	0.01	27%	27 Jul →
cache	9–13	0.07	28%	26 Jul →
ancient	13–9	0.09	30%	26 Jul →
cache	13–8	0.04	12%	26 Jul →
nuke	11–13	-0.01	15%	26 Jul →
nuke	13–10	0.06	35%	26 Jul →