Mucke07 — CS2 Stats

76561198871400837[U:1:911135109]✓ No bans

1,778Tracked matches50%Win rate2024Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating20,777Pink band · top ~7.6% of ranked players (population est.)

FaceitLevel 8 · 1,525 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning50

Utility63

0–100 skill scores via Leetify.

Recent form

HOT54–43–3Last 10054%Win rateLWWWLWLWWW

Last 10 vs previous 10: +50pp win rate · -0.00 avg rating

Player DNA

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

Aim7.3

Aggression5.8

Utility6.3

Positioning5.0

Opening Duels1.8

Clutch5.0

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 NiKo 91% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

T-side openings. Opening success drops from 48% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim7.3

Positioning5.0

Utility6.3

Mechanics7.3

Opening Duels2.2

Win Impact5.0

Composite 6.1/10 (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 rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time556ms−56ms

first ⅓ avg 612ms → last ⅓ avg 556ms

Headshot accuracy18.5%−0.3%

first ⅓ avg 18.8% → last ⅓ avg 18.5%

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

0.24Best rating — dust2 13–1

13–0Biggest win — nuke

9Longest win streak

9–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 71% over 14infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	15–15	50%	0.01
nuke	B	28	15–13	54%	0.01
dust2	S	14	10–4	71%	0.01
inferno	D	10	3–7	30%	0.01
ancient	B	6	3–3	50%	-0.00
anubis	S	6	4–2	67%	-0.01
fachwerk	—	1	1–0	100%	-0.04
boulder	—	1	0–1	0%	0.01
office	—	1	1–0	100%	0.04
overpass	—	1	1–0	100%	-0.07
vertigo	—	1	0–1	0%	-0.13
shelter	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

254Matches

55%Win rate

1.14Avg K/D

83.5ADR

45%Headshot %

Clutches & streaks

45%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	89	61%	1.21	17.7
Inferno	41	49%	1.04	16.0
Nuke	38	55%	1.15	17.1
Ancient	32	59%	1.14	17.6
Dust2	30	53%	1.01	15.8
Anubis	7	14%	1.09	14.9
Overpass	6	50%	0.86	16.2
Cache	6	67%	1.73	15.3

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.

18.6%Headshot accuracy

32.7%Accuracy (enemy spotted)

33.1%Spray accuracy

82.6%Counter-strafing

8.6°Preaim

555msReaction time

26.2%T opening success

47.9%CT opening success

0.50Enemies flashed / flash

7.2%Flash assists

9.49HE damage / grenade

16.98Flashes / 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 26.2061% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	0–10	-0.08	18%	23 Aug →
mirage	10–5	0.05	20%	20 Aug →
inferno	13–8	0.09	18%	19 Aug →
fachwerk	13–8	-0.04	0%	17 Aug →
ancient	5–13	-0.07	18%	17 Aug →
mirage	13–9	-0.01	22%	17 Aug →
boulder	9–13	0.01	19%	17 Aug →
office	13–7	0.04	27%	17 Aug →
inferno	13–5	0.03	20%	17 Aug →
mirage	13–5	0.05	25%	17 Aug →
mirage	2–13	-0.06	15%	17 Aug →
mirage	2–8	-0.07	6%	17 Aug →
mirage	12–12	0.05	16%	16 Aug →
mirage	2–13	-0.06	20%	16 Aug →
nuke	9–13	0.08	19%	14 Aug →
nuke	13–1	0.18	14%	14 Aug →
mirage	9–13	0.03	31%	14 Aug →
mirage	13–2	0.06	15%	13 Aug →
nuke	11–13	-0.05	19%	12 Aug →
mirage	10–13	-0.07	8%	12 Aug →
mirage	12–12	0.13	19%	11 Aug →
inferno	7–13	-0.02	18%	11 Aug →
nuke	13–8	0.06	16%	11 Aug →
nuke	11–13	0.02	21%	10 Aug →
dust2	13–10	0.06	18%	10 Aug →
dust2	17–19	-0.00	28%	10 Aug →
nuke	13–10	0.02	15%	9 Aug →
nuke	16–13	-0.02	16%	9 Aug →
ancient	13–10	0.03	27%	9 Aug →
nuke	3–13	-0.06	15%	9 Aug →
dust2	7–13	-0.04	22%	9 Aug →
nuke	13–8	0.12	22%	9 Aug →
inferno	9–13	-0.03	23%	9 Aug →
ancient	10–13	-0.04	18%	9 Aug →
nuke	13–5	0.07	13%	8 Aug →
inferno	7–13	0.02	19%	8 Aug →
mirage	13–5	-0.01	15%	8 Aug →
anubis	6–13	-0.02	3%	8 Aug →
anubis	16–13	0.00	8%	7 Aug →
dust2	13–1	0.24	15%	7 Aug →
overpass	13–11	-0.07	14%	6 Aug →
inferno	13–5	0.09	26%	6 Aug →
nuke	12–12	-0.01	21%	6 Aug →
ancient	13–10	0.14	23%	6 Aug →
mirage	13–6	0.01	16%	6 Aug →
vertigo	1–9	-0.13	14%	6 Aug →
mirage	4–13	0.02	20%	6 Aug →
nuke	13–5	-0.04	17%	6 Aug →
shelter	13–11	-0.01	22%	5 Aug →
nuke	11–13	-0.01	18%	5 Aug →
anubis	5–13	-0.05	13%	5 Aug →
mirage	13–11	0.03	14%	5 Aug →
inferno	4–9	-0.18	6%	5 Aug →
mirage	10–13	-0.01	20%	5 Aug →
nuke	3–13	-0.02	24%	3 Aug →
dust2	11–13	0.01	11%	3 Aug →
dust2	16–14	-0.04	11%	3 Aug →
nuke	13–9	0.03	16%	3 Aug →
inferno	12–16	0.06	32%	3 Aug →
nuke	9–13	-0.11	13%	3 Aug →
nuke	13–4	-0.04	15%	3 Aug →
nuke	13–9	0.01	20%	3 Aug →
mirage	13–11	-0.04	14%	3 Aug →
anubis	13–8	0.03	6%	3 Aug →
ancient	13–9	0.00	21%	3 Aug →
nuke	11–13	-0.02	19%	2 Aug →
inferno	10–13	0.01	17%	2 Aug →
anubis	13–5	0.03	15%	2 Aug →
anubis	13–8	-0.04	13%	2 Aug →
nuke	13–11	0.04	23%	2 Aug →
nuke	9–13	-0.03	8%	2 Aug →
nuke	13–0	0.10	22%	2 Aug →
nuke	7–2	0.10	15%	2 Aug →
nuke	13–2	-0.01	18%	2 Aug →
nuke	13–6	0.02	11%	2 Aug →
mirage	0–13	-0.10	11%	2 Aug →
mirage	9–13	0.04	13%	2 Aug →
dust2	13–11	0.04	18%	2 Aug →
nuke	11–13	-0.04	18%	31 Jul →
dust2	13–11	0.01	15%	31 Jul →
inferno	7–13	-0.00	12%	30 Jul →
dust2	13–5	0.03	17%	30 Jul →
mirage	13–8	0.03	14%	30 Jul →
mirage	12–16	0.01	22%	29 Jul →
ancient	8–13	-0.07	16%	29 Jul →
nuke	7–13	-0.04	13%	29 Jul →
nuke	3–11	-0.00	21%	29 Jul →
mirage	4–13	-0.01	10%	29 Jul →
mirage	13–7	0.06	22%	29 Jul →
dust2	0–13	-0.08	29%	29 Jul →
mirage	8–1	0.12	33%	29 Jul →
mirage	13–8	0.04	27%	29 Jul →
mirage	13–10	0.02	29%	29 Jul →
mirage	13–2	0.02	39%	28 Jul →
dust2	13–4	0.05	10%	28 Jul →
mirage	13–11	-0.06	15%	28 Jul →
dust2	13–9	-0.04	15%	28 Jul →
dust2	13–2	-0.04	42%	28 Jul →
dust2	13–7	-0.01	16%	28 Jul →
mirage	10–13	0.02	18%	28 Jul →