Muccles — CS2 Stats

76561198839007630[U:1:878741902]

2,678Tracked matches41%Win rate2020Tracked since

3,451Hours in CS3Hrs last 2 wks

CSDB Rating5.2 DevelopingHybrid Rifler

Premier CS Rating24,604Top 50% of 819 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)

CSDB Leaderboard#2658 of 14312 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning57

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLWLWLLLWLW

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

Player DNA

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

Aim6.3

Aggression8.4

Utility5.4

Positioning5.7

Opening Duels3.7

Clutch2.0

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 b1t 88% 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

Areas to improve

T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 627ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim6.3

Positioning5.7

Utility5.4

Mechanics4.4

Opening Duels3.7

Win Impact2.1

Composite 5.2/10 (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 rating0.02+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time622ms+32ms

first ⅓ avg 590ms → last ⅓ avg 622ms

Headshot accuracy23.1%+0.7%

first ⅓ avg 22.4% → last ⅓ avg 23.1%

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

0.12Best rating — ancient 15–15

13–1Biggest win — mirage

3Longest win streak

4–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 80% over 10dust2Weakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	10–15	40%	0.01
ancient	B	20	9–11	45%	0.03
inferno	C	16	6–10	38%	0.01
anubis	B	12	6–6	50%	0.03
cache	S	10	8–2	80%	0.05
dust2	D	6	2–4	33%	0.00
nuke	C	5	2–3	40%	0.03
overpass	—	4	4–0	100%	0.03
vertigo	—	1	1–0	100%	0.04
train	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,446Lifetime kills

1.15K/D · Top 50% of Pink band

6,177Matches

46.1%Match win rate

42.8%Headshot %

13.5%Shot accuracy · Top 50% of Pink band

14,006MVPs

2,107Hours (in match)

6,386Bombs planted

1,260Bombs defused

Most-used weapons

AK-4727,806

M4A4 / M4A1-S16,673

AWP9,321

SG 5537,943

SSG 086,616

P2000 / USP-S5,536

Desert Eagle5,108

Glock-184,881

AUG3,049

MP92,483

Lifetime map wins

10,831nuke

7,868dust2

6,127inferno

2,491vertigo

2,047train

431lake

363cbble

84office

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

Faceit stats

Combat

464Matches

53%Win rate

1.06Avg K/D

101.0ADR

39%Headshot %

Clutches & streaks

30%1v1 clutch win

33%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	75%	1.48	17.8
Dust2	4	75%	1.71	22.3
Anubis	3	0%	0.62	9.7
Nuke	3	67%	1.55	19.0
Overpass	2	0%	0.86	17.0
Ancient	2	0%	0.86	15.0
Inferno	2	0%	1.00	16.0
Vertigo	1	100%	1.67	25.0

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.

22.7%Headshot accuracy

33.9%Accuracy (enemy spotted)

36.1%Spray accuracy

69.8%Counter-strafing

9.6°Preaim

627msReaction time

35.7%T opening success

54.1%CT opening success

0.68Enemies flashed / flash

8.0%Flash assists

8.44HE damage / grenade

5.47Flashes / 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 35.6798% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	0.02	32%	25 Aug →
inferno	13–3	0.05	25%	25 Aug →
cache	10–13	-0.04	24%	25 Aug →
anubis	6–3	0.04	44%	22 Aug →
dust2	5–13	-0.02	29%	15 Aug →
mirage	5–13	-0.00	12%	14 Aug →
ancient	10–13	0.11	31%	11 Aug →
cache	13–6	0.10	35%	9 Aug →
ancient	11–13	0.03	17%	5 Aug →
anubis	13–11	0.04	17%	5 Aug →
cache	13–8	0.11	23%	5 Aug →
inferno	8–13	0.01	21%	31 Jul →
ancient	13–5	0.11	12%	31 Jul →
ancient	13–9	-0.03	25%	31 Jul →
cache	13–5	0.01	25%	31 Jul →
mirage	9–13	-0.07	23%	29 Jul →
anubis	7–13	0.03	11%	22 Jul →
anubis	10–13	0.03	24%	22 Jul →
mirage	13–6	0.08	20%	22 Jul →
ancient	7–13	-0.01	23%	22 Jul →
cache	4–13	-0.03	20%	20 Jul →
mirage	5–13	0.02	10%	20 Jul →
nuke	4–13	-0.05	21%	20 Jul →
nuke	7–13	0.02	19%	20 Jul →
dust2	11–13	-0.01	20%	13 Jul →
mirage	13–7	0.01	9%	13 Jul →
ancient	15–15	0.12	30%	13 Jul →
cache	16–14	0.06	34%	11 Jul →
inferno	13–10	0.05	27%	11 Jul →
mirage	4–13	-0.06	15%	11 Jul →
cache	13–4	0.04	35%	11 Jul →
anubis	13–4	0.10	26%	11 Jul →
dust2	8–13	-0.05	24%	11 Jul →
nuke	6–13	0.05	10%	11 Jul →
mirage	13–1	0.07	19%	11 Jul →
dust2	13–7	0.04	35%	10 Jul →
cache	13–2	0.11	27%	10 Jul →
mirage	6–13	-0.00	15%	10 Jul →
ancient	13–10	-0.02	18%	10 Jul →
cache	13–5	0.05	27%	9 Jul →
inferno	6–13	0.03	52%	9 Jul →
ancient	6–13	0.00	19%	8 Jul →
nuke	13–10	0.09	18%	8 Jul →
dust2	12–12	-0.01	14%	7 Jul →
mirage	13–10	-0.00	16%	7 Jul →
vertigo	13–10	0.04	27%	7 Jul →
inferno	13–10	-0.04	39%	7 Jul →
mirage	10–13	-0.03	12%	7 Jul →
train	9–13	0.01	29%	7 Jul →
cache	13–5	0.06	36%	7 Jul →
ancient	8–13	0.08	24%	2 Jul →
inferno	9–13	0.03	13%	2 Jul →
dust2	13–10	0.06	25%	2 Jul →
ancient	8–13	-0.04	19%	2 Jul →
anubis	11–13	-0.04	20%	2 Jul →
mirage	13–4	-0.05	14%	1 Jul →
overpass	13–4	-0.04	37%	30 Jun →
mirage	4–13	-0.02	24%	30 Jun →
ancient	13–9	0.01	38%	30 Jun →
mirage	13–11	0.01	33%	30 Jun →
anubis	7–13	-0.03	18%	29 Jun →
nuke	16–12	0.06	25%	29 Jun →
mirage	14–16	0.08	17%	29 Jun →
ancient	16–13	0.01	21%	26 Jun →
mirage	16–13	0.05	22%	26 Jun →
ancient	6–13	0.01	14%	26 Jun →
inferno	13–9	0.06	25%	26 Jun →
inferno	13–9	0.10	29%	25 Jun →
overpass	13–11	0.07	12%	25 Jun →
mirage	8–13	-0.05	23%	24 Jun →
inferno	10–13	-0.04	26%	24 Jun →
anubis	13–7	-0.00	29%	24 Jun →
anubis	13–7	0.02	19%	21 Jun →
inferno	13–9	0.01	22%	21 Jun →
inferno	10–13	-0.02	19%	20 Jun →
overpass	13–4	0.04	43%	20 Jun →
ancient	13–6	0.06	35%	20 Jun →
ancient	13–6	0.05	14%	18 Jun →
inferno	7–13	-0.02	21%	18 Jun →
overpass	13–4	0.06	9%	18 Jun →
mirage	14–16	0.00	18%	18 Jun →
mirage	15–15	0.05	29%	16 Jun →
inferno	15–15	-0.04	20%	16 Jun →
inferno	14–16	-0.00	14%	13 Jun →
mirage	11–13	0.08	30%	13 Jun →
ancient	10–13	-0.01	13%	12 Jun →
anubis	13–10	0.03	23%	12 Jun →
mirage	14–16	-0.03	11%	12 Jun →
ancient	13–8	0.09	11%	12 Jun →
inferno	9–13	0.03	26%	11 Jun →
ancient	8–13	-0.00	23%	11 Jun →
mirage	5–13	0.00	42%	11 Jun →
mirage	13–5	0.01	28%	10 Jun →
ancient	13–4	0.01	20%	10 Jun →
inferno	15–15	-0.06	28%	10 Jun →
anubis	8–13	0.12	19%	10 Jun →
mirage	1–13	-0.08	6%	10 Jun →
mirage	13–10	0.09	29%	9 Jun →
mirage	13–10	-0.00	19%	4 Jun →
ancient	3–13	-0.05	30%	4 Jun →