babymetal — CS2 Stats

76561198953742006[U:1:993476278]

1,791Tracked matches50%Win rate2021Tracked since

12,721Hours in CS

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating22,938Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)

CSDB Leaderboard#5881 of 23080 tracked

FaceitLevel 10 · 2,241 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	56.0%	52.0%
Shot accuracy	15.5%	13.7%
Kill/death ratio	0.93	1.08
Match win rate	45.8%	48.8%

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Performance scores

Aim75

Positioning44

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWLLWWWLLLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim7.5

Aggression5.6

Utility5.5

Positioning4.4

Opening Duels2.3

Clutch3.6

Strong CT-side opener

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 89% playstyle similarity

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

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 51% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim7.5

Positioning4.4

Utility5.5

Mechanics7.4

Opening Duels2.6

Win Impact5.0

Composite 5.9/10 (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-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time616ms−47ms

first ⅓ avg 662ms → last ⅓ avg 616ms

Headshot accuracy24.7%−5.2%

first ⅓ avg 29.9% → last ⅓ avg 24.7%

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 — mirage 13–6

13–1Biggest win — mirage

4Longest win streak

12–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 68% over 19nukeWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	22	11–11	50%	0.01
anubis	S	19	13–6	68%	0.02
dust2	C	19	8–11	42%	-0.01
ancient	B	14	7–7	50%	-0.02
inferno	C	9	4–5	44%	-0.01
nuke	D	8	2–6	25%	-0.04
train	D	6	2–4	33%	-0.04
overpass	—	3	2–1	67%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

240,711Lifetime kills

0.93K/D

8,196Matches

45.8%Match win rate

56.0%Headshot % · Top 50% of Level 10 players

15.5%Shot accuracy · Top 50% of Level 10 players

22,102MVPs

12,721Hours (in match)

8,271Bombs planted

2,291Bombs defused

Most-used weapons

AK-4794,213

M4A4 / M4A1-S41,657

AWP22,750

Desert Eagle16,115

P2000 / USP-S14,945

Glock-188,387

AUG5,775

Galil AR4,963

Knife4,748

FAMAS4,022

Lifetime map wins

12,369dust2

10,380inferno

6,124vertigo

2,710nuke

2,084train

399cbble

280office

75lake

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

Faceit stats

Combat

4,463Matches

51%Win rate

0.95Avg K/D

71.3ADR

49%Headshot %

Clutches & streaks

38%1v1 clutch win

16%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	501	53%	0.92	14.1
Ancient	453	53%	0.93	14.6
Anubis	318	51%	0.98	14.2
Dust2	215	50%	0.88	13.8
Inferno	90	39%	0.93	14.1
Nuke	68	44%	0.82	13.4
Overpass	45	56%	0.91	14.7
Vertigo	44	41%	0.87	14.2

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.

25.3%Headshot accuracy

32.8%Accuracy (enemy spotted)

38.4%Spray accuracy

83.4%Counter-strafing

10.2°Preaim

622msReaction time

27.4%T opening success

50.8%CT opening success

0.67Enemies flashed / flash

6.5%Flash assists

8.73HE damage / grenade

9.73Flashes / 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 27.4431% — below the 40% mark we flag

Spend your practice time on Nuke

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 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–1	0.06	15%	12 Feb →
nuke	11–13	-0.04	20%	29 Jan →
inferno	10–13	0.02	26%	27 Jan →
anubis	13–9	-0.04	21%	27 Jan →
dust2	13–6	-0.05	33%	25 Jan →
anubis	13–11	0.05	23%	23 Jan →
ancient	4–13	-0.02	15%	23 Jan →
nuke	10–13	-0.06	40%	23 Jan →
dust2	13–16	-0.01	22%	23 Jan →
anubis	13–3	0.09	48%	23 Jan →
dust2	8–13	0.01	31%	21 Jan →
mirage	7–13	0.01	33%	21 Jan →
mirage	8–13	-0.02	21%	17 Jan →
dust2	13–11	-0.06	19%	17 Jan →
dust2	13–8	-0.03	38%	16 Jan →
inferno	9–13	-0.04	19%	16 Jan →
ancient	6–13	-0.01	15%	10 Jan →
overpass	11–13	-0.03	13%	10 Jan →
nuke	9–13	-0.05	39%	10 Jan →
dust2	11–13	-0.00	25%	10 Jan →
nuke	13–8	-0.01	37%	10 Jan →
overpass	13–11	0.04	26%	10 Jan →
dust2	13–1	0.09	35%	10 Jan →
inferno	13–11	-0.03	23%	9 Jan →
dust2	6–13	-0.02	33%	9 Jan →
train	8–13	-0.09	14%	9 Jan →
mirage	13–7	-0.01	20%	7 Jan →
inferno	13–6	-0.01	27%	7 Jan →
inferno	9–1	-0.01	10%	5 Jan →
dust2	13–8	0.03	14%	5 Jan →
nuke	9–13	-0.06	19%	5 Jan →
dust2	9–13	-0.01	11%	5 Jan →
inferno	13–9	-0.01	26%	5 Jan →
mirage	7–13	-0.04	37%	5 Jan →
dust2	7–13	0.07	22%	1 Jan →
nuke	12–16	-0.04	18%	29 Sept →
ancient	9–13	-0.03	27%	21 Sept →
ancient	13–6	-0.03	19%	6 Sept →
dust2	13–9	-0.06	19%	7 Aug →
overpass	13–3	0.03	5%	31 Jul →
mirage	13–10	-0.03	29%	24 Jul →
dust2	6–13	-0.07	17%	20 Jul →
dust2	10–13	-0.04	38%	12 Jul →
mirage	11–13	-0.02	28%	12 Jul →
anubis	6–13	-0.01	63%	12 Jul →
mirage	13–4	0.04	30%	8 Jul →
anubis	13–8	0.02	20%	27 Jun →
dust2	13–10	0.03	23%	27 Jun →
ancient	11–13	-0.02	27%	24 Jun →
train	6–13	-0.07	15%	6 Jun →
ancient	13–11	-0.07	21%	21 May →
ancient	16–12	-0.01	30%	20 May →
anubis	12–16	-0.01	19%	9 May →
train	13–11	0.00	39%	5 May →
anubis	13–9	0.05	20%	5 May →
mirage	17–19	-0.07	17%	27 Apr →
anubis	11–13	0.02	17%	26 Apr →
anubis	13–16	-0.01	26%	25 Apr →
mirage	13–16	-0.01	30%	18 Apr →
ancient	13–9	0.06	21%	18 Apr →
anubis	13–11	-0.00	24%	18 Apr →
mirage	13–4	0.04	42%	18 Apr →
mirage	10–13	0.03	21%	17 Apr →
anubis	13–9	0.00	29%	17 Apr →
mirage	13–8	0.04	23%	17 Apr →
train	5–13	-0.05	35%	17 Apr →
mirage	9–13	-0.00	20%	17 Apr →
inferno	6–13	-0.01	21%	16 Apr →
anubis	13–8	0.05	26%	16 Apr →
ancient	13–7	0.00	10%	16 Apr →
ancient	11–13	-0.04	17%	15 Apr →
mirage	13–7	0.02	24%	15 Apr →
ancient	13–4	0.02	20%	15 Apr →
anubis	16–14	-0.03	28%	15 Apr →
dust2	14–16	-0.06	20%	15 Apr →
train	6–13	-0.06	19%	15 Apr →
mirage	11–13	-0.01	30%	15 Apr →
anubis	7–13	0.03	20%	15 Apr →
nuke	4–13	-0.01	24%	14 Apr →
mirage	13–11	-0.04	14%	14 Apr →
dust2	13–11	0.00	41%	13 Apr →
train	13–11	0.04	23%	13 Apr →
ancient	6–13	-0.04	42%	4 Dec →
inferno	2–13	-0.03	19%	4 Dec →
anubis	3–13	-0.04	21%	11 Nov →
mirage	10–13	0.01	34%	6 Nov →
dust2	9–13	-0.03	38%	5 Nov →
inferno	5–13	-0.00	28%	5 Nov →
mirage	13–6	0.12	41%	27 Oct →
anubis	13–10	0.03	57%	25 Oct →
anubis	13–8	-0.02	34%	25 Oct →
dust2	7–13	-0.02	25%	24 Oct →
anubis	13–6	0.08	23%	23 Oct →
mirage	13–2	0.06	56%	21 Oct →
ancient	5–13	-0.07	37%	21 Oct →
mirage	3–13	0.01	83%	20 Oct →
nuke	13–5	-0.07	21%	20 Oct →
mirage	16–14	0.01	34%	19 Oct →
anubis	13–3	0.07	37%	17 Oct →
ancient	13–9	-0.02	20%	15 Oct →