JapaneseMuscle — CS2 Stats

76561198128323462[U:1:168057734]Steam profile ↗✓ No bans

2,379Tracked matches41%Win rate2020Tracked since

5,613Hours in CS37Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating23,551Top 50% of 29,473 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)

CSDB Leaderboard#7663 of 38563 tracked

FaceitLevel 9 · 1,900 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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	Level 9 median	Level 10 median	vs Level 10
Headshot rate	46.2%	48.5%	51.9%	5.7% short
Shot accuracy	15.0%	13.3%	13.7%	above
Kill/death ratio	1.08	1.07	1.08	meets
Match win rate	40.3%	47.0%	48.7%	8.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim71

Positioning50

Utility78

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateLWTLLLLTWL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

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

Aim7.1

Aggression5.7

Utility7.8

Positioning5.0

Opening Duels2.0

Clutch4.2

Strong CT-side openerHigh utility contribution

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 Twistzz 91% playstyle similarity

Most alike: opening-duel success, 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 →

Strengths & areas to improve

Strengths

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning5.0

Utility7.8

Mechanics5.6

Opening Duels2.3

Win Impact1.9

Composite 5.7/10 (Solid), 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-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time530ms−54ms

first ⅓ avg 585ms → last ⅓ avg 530ms

Headshot accuracy18.8%−2.4%

first ⅓ avg 21.2% → last ⅓ avg 18.8%

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

0.12Best rating — inferno 13–3

13–1Biggest win — dust2

5Longest win streak

6–12In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 55% over 29anubisWeakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	29	16–13	55%	0.01
inferno	C	22	8–14	36%	0.01
cache	B	19	10–9	53%	0.02
anubis	D	16	4–12	25%	-0.00
ancient	C	10	4–6	40%	-0.01
nuke	—	4	0–4	0%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

210,882Lifetime kills

1.08K/D · Top 50% of Level 9 players

8,792Matches

40.3%Match win rate

46.2%Headshot %

15.0%Shot accuracy · Top 50% of Level 9 players

19,337MVPs

3,500Hours (in match)

10,625Bombs planted

1,954Bombs defused

Most-used weapons

AWP55,211

AK-4742,958

M4A4 / M4A1-S22,748

P2000 / USP-S18,310

SSG 089,514

Glock-188,702

P2508,036

Desert Eagle6,054

Five-SeveN5,811

MP94,883

Lifetime map wins

22,257dust2

14,669inferno

2,805cbble

2,522vertigo

2,271train

2,232nuke

1,012office

452lake

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

Faceit stats

Combat

229Matches

59%Win rate

1.17Avg K/D

81.2ADR

39%Headshot %

Clutches & streaks

41%1v1 clutch win

25%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	21	76%	1.18	15.5
Inferno	14	79%	1.23	14.7
Ancient	7	71%	1.10	12.6
Overpass	7	57%	1.03	15.3
Anubis	4	25%	0.76	10.3
Train	2	100%	1.24	18.0
Mirage	1	100%	0.76	16.0

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.

19.2%Headshot accuracy

32.5%Accuracy (enemy spotted)

35.2%Spray accuracy

75.4%Counter-strafing

9.0°Preaim

530msReaction time

28.0%T opening success

48.1%CT opening success

0.68Enemies flashed / flash

8.2%Flash assists

8.77HE damage / grenade

13.84Flashes / 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 28.0333% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	-0.04	21%	29 Aug →
cache	13–11	0.01	24%	26 Aug →
cache	15–15	0.02	18%	23 Aug →
inferno	0–13	-0.03	10%	23 Aug →
inferno	7–13	0.03	13%	22 Aug →
ancient	5–13	-0.03	12%	22 Aug →
dust2	8–13	0.03	21%	22 Aug →
cache	15–15	-0.03	20%	22 Aug →
dust2	13–1	-0.03	24%	22 Aug →
cache	7–13	0.00	20%	21 Aug →
dust2	1–8	-0.01	31%	21 Aug →
ancient	13–9	0.03	14%	21 Aug →
dust2	13–10	0.02	25%	21 Aug →
inferno	4–13	-0.02	27%	19 Aug →
dust2	16–12	0.03	28%	19 Aug →
ancient	11–13	0.01	16%	19 Aug →
dust2	13–5	-0.01	15%	19 Aug →
inferno	13–8	0.06	10%	19 Aug →
cache	13–5	0.03	21%	19 Aug →
dust2	13–5	-0.03	16%	19 Aug →
inferno	13–9	0.01	20%	19 Aug →
cache	11–13	0.02	24%	19 Aug →
dust2	8–13	-0.05	19%	18 Aug →
anubis	4–13	0.01	20%	18 Aug →
anubis	1–13	-0.05	7%	18 Aug →
cache	15–15	-0.03	12%	18 Aug →
anubis	5–13	-0.02	20%	17 Aug →
ancient	2–13	-0.11	16%	17 Aug →
inferno	13–11	0.01	11%	17 Aug →
dust2	11–13	-0.01	38%	17 Aug →
anubis	15–15	0.02	20%	17 Aug →
dust2	13–7	0.09	17%	17 Aug →
dust2	4–13	-0.01	11%	16 Aug →
anubis	15–15	-0.03	14%	16 Aug →
dust2	13–1	-0.01	60%	16 Aug →
dust2	13–7	0.04	15%	16 Aug →
inferno	14–16	-0.04	21%	16 Aug →
dust2	9–13	0.01	17%	16 Aug →
inferno	6–13	-0.06	16%	16 Aug →
cache	13–8	0.01	13%	16 Aug →
inferno	13–9	0.02	21%	16 Aug →
inferno	5–13	-0.03	27%	16 Aug →
ancient	13–7	0.03	38%	16 Aug →
nuke	1–13	-0.01	23%	16 Aug →
ancient	13–11	0.01	13%	16 Aug →
cache	13–11	0.04	16%	16 Aug →
dust2	16–13	0.00	22%	16 Aug →
nuke	5–13	-0.03	13%	16 Aug →
ancient	13–8	-0.05	30%	16 Aug →
dust2	9–13	-0.01	23%	14 Aug →
cache	13–8	0.07	26%	14 Aug →
anubis	13–11	0.03	22%	14 Aug →
dust2	13–10	-0.06	31%	14 Aug →
dust2	13–7	0.01	24%	14 Aug →
cache	7–13	0.02	41%	14 Aug →
anubis	10–13	-0.01	23%	13 Aug →
nuke	11–13	-0.01	20%	13 Aug →
inferno	13–7	-0.00	23%	13 Aug →
cache	13–10	0.03	27%	13 Aug →
anubis	13–1	0.02	13%	13 Aug →
anubis	5–13	-0.06	21%	12 Aug →
inferno	8–13	-0.05	24%	12 Aug →
anubis	6–13	-0.01	14%	12 Aug →
dust2	13–9	0.02	24%	12 Aug →
anubis	4–13	-0.01	18%	12 Aug →
dust2	8–13	-0.05	29%	11 Aug →
inferno	13–4	0.04	25%	11 Aug →
inferno	9–13	0.01	28%	11 Aug →
cache	13–2	0.06	29%	11 Aug →
dust2	13–10	0.03	31%	4 Aug →
dust2	13–11	0.00	17%	4 Aug →
anubis	13–8	0.05	17%	4 Aug →
anubis	13–1	0.01	22%	4 Aug →
nuke	1–7	0.05	28%	4 Aug →
inferno	5–13	-0.06	18%	3 Aug →
cache	13–7	0.02	14%	3 Aug →
cache	13–10	0.01	20%	3 Aug →
dust2	10–13	0.03	15%	3 Aug →
inferno	13–3	0.12	18%	3 Aug →
cache	15–15	-0.01	15%	3 Aug →
anubis	10–13	-0.01	9%	3 Aug →
cache	13–16	0.02	17%	2 Aug →
ancient	9–13	0.06	18%	2 Aug →
cache	8–13	0.01	18%	2 Aug →
inferno	9–13	0.07	16%	2 Aug →
anubis	11–13	0.04	17%	29 Jul →
dust2	11–13	0.03	17%	29 Jul →
inferno	8–13	0.01	19%	28 Jul →
dust2	13–7	-0.04	12%	28 Jul →
cache	13–8	0.01	36%	28 Jul →
dust2	11–13	0.03	27%	27 Jul →
ancient	2–13	-0.04	21%	27 Jul →
inferno	14–16	0.04	21%	27 Jul →
dust2	14–16	0.04	29%	27 Jul →
ancient	5–13	-0.03	27%	26 Jul →
inferno	15–15	0.01	14%	26 Jul →
dust2	13–9	0.05	31%	26 Jul →
inferno	5–13	0.08	37%	26 Jul →
inferno	13–10	-0.03	19%	26 Jul →
dust2	11–13	0.05	24%	22 Jul →