Ein Stoned — CS2 Stats

76561198036712574[U:1:76446846]

2,463Tracked matches48%Win rate2020Tracked since

5,371Hours in CS29Hrs last 2 wks

CSDB Rating5.1 DevelopingAggressive Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim71

Positioning52

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44–43–13Last 10044%Win rateWLWLWLWWLT

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim7.1

Aggression7.0

Utility4.9

Positioning5.2

Opening Duels2.6

Clutch3.6

Strong CT-side openerEffective flashesLimited 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.

Your pro match

Plays most like ropz 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 55% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 553ms 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

Aim7.1

Positioning5.2

Utility4.9

Mechanics4.8

Opening Duels3.1

Win Impact4.3

Composite 5.1/10 (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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time555ms−82ms

first ⅓ avg 636ms → last ⅓ avg 555ms

Headshot accuracy21.1%+0.9%

first ⅓ avg 20.2% → last ⅓ avg 21.1%

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

0.23Best rating — dust2 13–1

13–1Biggest win — dust2

6Longest win streak

5–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

trainBest map · 57% over 7ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	0.03
nuke	C	14	5–9	36%	0.02
cache	B	14	7–7	50%	0.00
mirage	B	11	5–6	45%	-0.00
train	A	7	4–3	57%	-0.00
ancient	D	6	1–5	17%	-0.02
vertigo	D	6	2–4	33%	0.01
anubis	D	6	2–4	33%	0.01
inferno	C	5	2–3	40%	-0.02
overpass	—	4	2–2	50%	0.01
shelter	—	2	2–0	100%	0.00
office	—	1	1–0	100%	0.01
fachwerk	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

154,026Lifetime kills

1.02K/D

7,212Matches

42.2%Match win rate

43.0%Headshot %

16.6%Shot accuracy · Top 25% of tracked players

18,811MVPs

2,741Hours (in match)

9,914Bombs planted

1,603Bombs defused

Most-used weapons

AWP40,080

AK-4736,098

M4A4 / M4A1-S19,051

Desert Eagle10,202

P2000 / USP-S9,326

Glock-185,169

Knife3,705

P2503,545

SSG 082,780

Tec-92,763

Lifetime map wins

30,734dust2

4,893inferno

2,893nuke

1,752vertigo

1,134train

976cbble

302office

292aztec

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

Faceit stats

Combat

424Matches

55%Win rate

1.16Avg K/D

71.7ADR

35%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	77	60%	1.07	15.5
Dust2	55	58%	1.15	15.5
Inferno	43	58%	0.99	13.7
Ancient	42	60%	1.11	15.7
Anubis	23	52%	0.99	15.0
Vertigo	14	50%	1.30	16.6
Nuke	11	55%	1.33	17.8
Overpass	6	100%	1.58	18.2

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.

21.7%Headshot accuracy

35.6%Accuracy (enemy spotted)

37.6%Spray accuracy

71.7%Counter-strafing

10.5°Preaim

553msReaction time

25.6%T opening success

54.9%CT opening success

0.71Enemies flashed / flash

7.9%Flash assists

8.40HE damage / grenade

4.15Flashes / 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.

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 25.6075% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–8	0.03	27%	27 Aug →
nuke	7–13	-0.06	15%	27 Aug →
cache	13–6	-0.01	35%	27 Aug →
ancient	8–13	0.05	20%	27 Aug →
vertigo	10–0	-0.05	15%	27 Aug →
train	3–13	-0.06	17%	25 Aug →
vertigo	13–11	0.06	23%	25 Aug →
dust2	13–3	0.04	12%	24 Aug →
anubis	7–13	0.02	25%	24 Aug →
nuke	12–12	0.01	12%	23 Aug →
train	4–13	-0.03	33%	23 Aug →
cache	11–13	-0.02	9%	22 Aug →
anubis	16–13	0.03	27%	22 Aug →
train	7–13	-0.05	13%	19 Aug →
nuke	9–13	-0.04	28%	19 Aug →
dust2	5–13	-0.07	13%	17 Aug →
vertigo	12–12	0.01	20%	17 Aug →
train	13–5	-0.02	17%	17 Aug →
vertigo	12–12	0.00	15%	17 Aug →
ancient	8–13	-0.04	37%	17 Aug →
ancient	15–15	-0.03	32%	17 Aug →
vertigo	12–12	0.06	19%	15 Aug →
cache	12–12	0.02	30%	15 Aug →
overpass	4–13	0.04	26%	15 Aug →
dust2	13–1	0.23	16%	15 Aug →
nuke	13–2	0.20	16%	15 Aug →
dust2	12–12	0.11	21%	13 Aug →
train	13–10	0.06	18%	13 Aug →
nuke	13–2	0.05	13%	13 Aug →
mirage	10–13	0.02	34%	12 Aug →
dust2	13–7	0.04	19%	12 Aug →
inferno	5–13	-0.06	21%	11 Aug →
cache	13–9	0.01	21%	11 Aug →
inferno	13–5	-0.03	21%	11 Aug →
dust2	4–13	-0.11	21%	11 Aug →
cache	9–13	0.01	30%	11 Aug →
office	12–3	0.01	16%	9 Aug →
anubis	13–8	-0.01	11%	9 Aug →
cache	11–13	-0.03	20%	9 Aug →
dust2	13–5	-0.05	14%	9 Aug →
dust2	12–12	0.02	30%	6 Aug →
vertigo	9–13	-0.02	26%	6 Aug →
mirage	13–5	-0.05	19%	6 Aug →
dust2	4–13	0.09	30%	31 Jul →
inferno	8–13	-0.01	16%	31 Jul →
dust2	9–13	-0.02	23%	31 Jul →
ancient	9–13	-0.04	26%	31 Jul →
mirage	3–13	-0.03	11%	31 Jul →
mirage	7–13	-0.04	6%	30 Jul →
ancient	13–8	0.04	22%	29 Jul →
dust2	12–16	0.00	23%	29 Jul →
mirage	11–13	-0.01	21%	29 Jul →
cache	13–9	0.01	50%	29 Jul →
mirage	16–14	0.03	30%	28 Jul →
dust2	13–10	0.00	16%	28 Jul →
mirage	13–6	-0.05	15%	28 Jul →
nuke	13–10	0.05	25%	26 Jul →
cache	13–9	0.03	24%	26 Jul →
nuke	11–13	0.03	24%	25 Jul →
ancient	0–13	-0.08	60%	25 Jul →
mirage	11–13	-0.06	23%	25 Jul →
dust2	13–4	0.12	27%	25 Jul →
dust2	3–13	0.02	54%	24 Jul →
anubis	12–12	0.01	17%	24 Jul →
nuke	13–9	0.03	16%	24 Jul →
cache	8–13	0.01	13%	23 Jul →
dust2	12–12	-0.01	37%	22 Jul →
nuke	8–13	0.09	14%	21 Jul →
dust2	2–13	-0.03	23%	16 Jul →
train	13–11	0.07	23%	16 Jul →
nuke	13–6	0.02	26%	16 Jul →
cache	12–12	0.01	20%	16 Jul →
fachwerk	13–6	0.13	19%	15 Jul →
shelter	13–6	0.00	35%	15 Jul →
overpass	13–5	0.05	41%	15 Jul →
dust2	3–13	-0.03	22%	11 Jul →
shelter	13–9	-0.00	22%	9 Jul →
dust2	13–11	0.07	14%	7 Jul →
cache	13–6	0.04	11%	7 Jul →
cache	12–12	-0.04	10%	6 Jul →
dust2	13–5	-0.05	24%	6 Jul →
nuke	12–12	-0.07	37%	6 Jul →
dust2	10–13	-0.06	11%	5 Jul →
train	4–3	0.01	13%	5 Jul →
nuke	9–13	0.02	5%	5 Jul →
anubis	11–13	0.00	25%	5 Jul →
cache	13–6	-0.01	16%	5 Jul →
anubis	8–13	-0.02	15%	5 Jul →
inferno	13–8	0.04	8%	5 Jul →
nuke	3–13	-0.06	14%	4 Jul →
overpass	2–13	-0.06	7%	4 Jul →
mirage	9–13	0.08	29%	2 Jul →
dust2	11–13	0.07	30%	30 Jun →
overpass	13–1	0.01	13%	29 Jun →
dust2	13–4	0.10	24%	29 Jun →
inferno	2–13	-0.05	50%	29 Jun →
mirage	13–5	0.07	13%	28 Jun →
cache	13–2	0.03	7%	28 Jun →
nuke	10–13	0.01	16%	28 Jun →
dust2	13–4	0.08	32%	28 Jun →