RAKU — CS2 Stats

RO76561198195852333[U:1:235586605]Steam profile ↗

2,848Tracked matches54%Win rate2020Tracked since

4,229Hours in CS

CSDB Rating4.6 DevelopingSupport

Premier CS Rating24,999Top 50% of 819 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#3209 of 21349 tracked

FaceitLevel 8 · 1,776 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim36

Positioning48

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateWWTWLWWLLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim3.6

Aggression4.7

Utility7.0

Positioning4.8

Opening Duels1.5

Clutch5.6

Strong CT-side openerEffective flashes

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 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.6

Positioning4.8

Utility7.0

Mechanics4.2

Opening Duels2.0

Win Impact6.2

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time596ms−14ms

first ⅓ avg 610ms → last ⅓ avg 596ms

Headshot accuracy12.2%−1.7%

first ⅓ avg 13.9% → last ⅓ avg 12.2%

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

0.10Best rating — anubis 6–2

13–0Biggest win — anubis

8Longest win streak

W2Current streak

7–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 67% over 6trainWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	25	14–11	56%	-0.04
anubis	A	20	11–9	55%	-0.02
ancient	A	16	9–7	56%	-0.02
inferno	A	14	8–6	57%	-0.02
vertigo	A	7	4–3	57%	-0.06
overpass	S	6	4–2	67%	-0.02
train	C	5	2–3	40%	-0.04
dust2	—	4	3–1	75%	-0.02
nuke	—	2	1–1	50%	-0.07
mirage	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Lifetime stats

191,885Lifetime kills

0.89K/D

9,932Matches

46.6%Match win rate · Top 50% of Pink band

41.6%Headshot %

12.9%Shot accuracy · Top 50% of Pink band

22,641MVPs

4,229Hours (in match)

11,169Bombs planted

1,608Bombs defused

Most-used weapons

AK-4768,822

M4A4 / M4A1-S37,488

AWP12,703

Desert Eagle10,504

P2000 / USP-S8,064

Glock-187,326

MAC-105,859

UMP-455,003

FAMAS4,240

MP94,025

Lifetime map wins

21,975dust2

14,217inferno

5,577vertigo

3,318train

1,988cbble

1,983nuke

124lake

97shorttrain

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

Faceit stats

Combat

491Matches

53%Win rate

0.87Avg K/D

68.0ADR

39%Headshot %

Clutches & streaks

48%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	49	59%	0.89	12.2
Anubis	41	73%	0.81	13.1
Inferno	37	70%	0.80	10.8
Overpass	17	47%	0.88	14.2
Mirage	13	31%	0.85	11.0
Vertigo	10	70%	0.90	12.6
Dust2	9	22%	0.70	12.0
Cache	6	50%	0.74	11.0

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.

12.6%Headshot accuracy

28.9%Accuracy (enemy spotted)

29.6%Spray accuracy

69.0%Counter-strafing

11.1°Preaim

586msReaction time

25.7%T opening success

46.2%CT opening success

0.75Enemies flashed / flash

5.9%Flash assists

8.66HE damage / grenade

14.06Flashes / 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.

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 12.649% — below the 15% mark we flag
Aim Training →
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 25.7302% — below the 40% mark we flag

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

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

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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