EED vom Schleck — CS2 Stats

76561197967226163[U:1:6960435]

2,223Tracked matches41%Win rate2020Tracked since

3,831Hours in CS22Hrs last 2 wks

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating16,306Purple band · top ~23.2% of ranked players (population est.)

CSDB Leaderboard#25824 of 46112 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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	46.1%	44.2%	47.1%	1.0% short
Shot accuracy	16.5%	11.6%	12.8%	above
Kill/death ratio	1.01	1.03	1.08	0.07 short
Match win rate	43.4%	45.2%	46.6%	3.2% short

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

Widest gap: Match win 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

Aim79

Positioning51

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWLWLLWLLLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.9

Aggression5.6

Utility5.5

Positioning5.1

Opening Duels1.4

Clutch2.2

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 NiKo 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 566ms 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

Aim7.9

Positioning5.1

Utility5.5

Mechanics5.8

Opening Duels1.4

Win Impact2.1

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-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time568ms−39ms

first ⅓ avg 607ms → last ⅓ avg 568ms

Headshot accuracy20.0%+2.6%

first ⅓ avg 17.4% → last ⅓ avg 20.0%

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.

Highlights

0.09Best rating — nuke 13–2

13–1Biggest win — inferno

7Longest win streak

10–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 67% over 15cacheWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	17–14	55%	-0.02
inferno	C	19	7–12	37%	-0.02
nuke	S	15	10–5	67%	-0.01
ancient	C	13	5–8	38%	0.01
cache	D	10	3–7	30%	-0.03
anubis	D	10	3–7	30%	0.00
mirage	—	2	0–2	0%	-0.03

Across the last 100 tracked matches.

Lifetime stats

99,142Lifetime kills

1.01K/D

5,615Matches

43.4%Match win rate

46.1%Headshot % · Top 50% of Purple band

16.5%Shot accuracy · Top 25% of Purple band

10,574MVPs

2,378Hours (in match)

6,167Bombs planted

1,347Bombs defused

Most-used weapons

AK-4729,203

M4A4 / M4A1-S23,766

AWP5,931

P2000 / USP-S5,677

FAMAS5,526

Glock-184,905

UMP-454,271

Galil AR3,324

P2502,092

Five-SeveN1,708

Lifetime map wins

22,912dust2

10,666inferno

7,709nuke

1,395train

881vertigo

419lake

417cbble

319safehouse

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

Faceit stats

Combat

302Matches

50%Win rate

0.91Avg K/D

63.8ADR

47%Headshot %

Clutches & streaks

31%1v1 clutch win

12%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	40	52%	0.88	13.2
Ancient	34	56%	0.91	12.4
Anubis	23	43%	0.82	11.8
Nuke	22	50%	0.76	11.0
Dust2	21	62%	0.80	13.8
Mirage	18	39%	0.83	11.8
Vertigo	4	0%	0.75	12.8
Overpass	3	67%	0.94	13.3

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.

19.9%Headshot accuracy

37.1%Accuracy (enemy spotted)

37.3%Spray accuracy

76.1%Counter-strafing

8.2°Preaim

566msReaction time

37.2%T opening success

33.6%CT opening success

0.55Enemies flashed / flash

4.2%Flash assists

14.89HE damage / grenade

6.92Flashes / 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 37.2207% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

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

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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