muetze — CS2 Stats

76561197962420019[U:1:2154291]Steam profile ↗✓ No bans

998Tracked matches48%Win rate2024Tracked since

CSDB Rating5.4 Developing

Ladder ranks via Leetify

Performance scores

Aim58

Positioning59

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY46–45–9Last 10046%Win rateWWWWWLLWLL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim5.8

Aggression7.5

Utility6.7

Positioning5.9

Opening Duels2.0

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 88% playstyle similarity

Most alike: positioning profile, 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 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim5.8

Positioning5.9

Utility6.7

Mechanics5.7

Opening Duels2.0

Win Impact4.4

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time606ms−32ms

first ⅓ avg 638ms → last ⅓ avg 606ms

Headshot accuracy13.7%−0.6%

first ⅓ avg 14.2% → last ⅓ avg 13.7%

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

0.19Best rating — dust2 13–2

13–1Biggest win — ancient

5Longest win streak

W5Current streak

3–2In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 60% over 30anubisWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	30	18–12	60%	0.01
nuke	B	19	10–9	53%	0.01
ancient	B	16	8–8	50%	-0.00
dust2	D	15	4–11	27%	0.01
anubis	D	12	3–9	25%	0.02
cache	—	4	2–2	50%	0.00
mirage	—	3	1–2	33%	0.05
overpass	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.4%Headshot accuracy

35.9%Accuracy (enemy spotted)

38.3%Spray accuracy

75.5%Counter-strafing

10.9°Preaim

605msReaction time

30.3%T opening success

45.6%CT opening success

0.55Enemies flashed / flash

10.2%Flash assists

15.37HE damage / grenade

6.08Flashes / 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 13.4392% — 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 30.348% — 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 12 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
cache	13–5	0.01	11%	29 Aug →
ancient	13–1	-0.01	15%	29 Aug →
nuke	13–10	-0.02	16%	29 Aug →
inferno	13–9	0.07	19%	29 Aug →
nuke	13–4	0.07	10%	28 Aug →
ancient	4–13	-0.02	11%	23 Aug →
nuke	5–13	-0.00	18%	23 Aug →
cache	13–9	0.07	10%	23 Aug →
dust2	9–13	-0.02	9%	21 Aug →
inferno	7–13	-0.08	13%	21 Aug →
nuke	12–12	-0.02	10%	15 Aug →
inferno	13–10	0.02	17%	15 Aug →
dust2	4–13	-0.06	16%	15 Aug →
anubis	9–13	-0.02	19%	15 Aug →
nuke	13–5	0.10	12%	14 Aug →
inferno	4–13	-0.03	12%	14 Aug →
anubis	9–13	0.12	14%	14 Aug →
dust2	13–2	0.19	12%	14 Aug →
inferno	13–4	-0.00	21%	8 Aug →
dust2	12–12	0.01	8%	8 Aug →
nuke	13–9	0.07	13%	8 Aug →
inferno	5–13	0.04	3%	31 Jul →
anubis	9–13	-0.02	22%	31 Jul →
inferno	11–13	-0.03	9%	26 Jul →
inferno	12–12	-0.00	10%	24 Jul →
dust2	13–11	-0.03	12%	24 Jul →
anubis	10–13	-0.04	12%	24 Jul →
inferno	3–13	-0.07	20%	19 Jul →
anubis	13–5	0.03	9%	18 Jul →
nuke	7–13	-0.07	23%	18 Jul →
inferno	13–6	0.04	18%	18 Jul →
dust2	6–13	-0.03	18%	18 Jul →
inferno	13–9	-0.00	10%	3 Jul →
inferno	13–5	0.02	18%	3 Jul →
dust2	7–13	0.03	13%	19 Jun →
dust2	13–9	-0.01	19%	16 Jun →
nuke	12–12	-0.01	11%	13 Jun →
inferno	13–9	0.01	18%	29 May →
anubis	5–13	-0.02	36%	29 May →
dust2	4–13	0.00	18%	29 May →
cache	1–13	-0.07	19%	29 May →
anubis	9–13	0.00	9%	13 May →
dust2	10–13	0.03	18%	13 May →
anubis	7–13	0.11	7%	30 Apr →
ancient	1–13	-0.02	16%	30 Apr →
inferno	13–9	0.04	11%	30 Apr →
inferno	7–13	-0.01	9%	30 Apr →
dust2	8–13	-0.03	11%	30 Apr →
cache	12–12	-0.01	10%	30 Apr →
inferno	13–2	0.03	8%	18 Apr →
anubis	13–7	-0.03	9%	18 Apr →
nuke	13–11	-0.11	20%	18 Apr →
ancient	7–13	-0.05	19%	18 Apr →
dust2	13–8	0.01	7%	17 Apr →
ancient	3–13	-0.09	7%	17 Apr →
inferno	12–16	-0.04	21%	17 Apr →
nuke	13–8	0.06	18%	17 Apr →
dust2	12–12	0.03	19%	17 Apr →
overpass	12–12	0.03	16%	5 Apr →
inferno	1–13	-0.08	0%	5 Apr →
anubis	13–4	0.17	15%	5 Apr →
nuke	7–13	-0.01	9%	5 Apr →
ancient	16–13	0.02	10%	4 Apr →
anubis	9–13	0.01	4%	27 Mar →
nuke	7–13	-0.01	13%	27 Mar →
inferno	13–9	-0.01	15%	27 Mar →
inferno	13–8	-0.04	10%	26 Mar →
inferno	9–13	-0.06	25%	26 Mar →
anubis	13–16	-0.02	7%	25 Mar →
nuke	10–13	0.03	21%	25 Mar →
inferno	13–5	0.03	22%	25 Mar →
inferno	13–6	0.05	7%	23 Mar →
nuke	10–13	-0.01	26%	23 Mar →
ancient	9–13	-0.08	10%	23 Mar →
ancient	6–13	0.08	13%	11 Oct →
mirage	13–5	0.08	18%	11 Oct →
ancient	13–7	0.01	23%	27 Sept →
inferno	15–15	-0.03	8%	27 Sept →
inferno	13–3	0.13	12%	26 Sept →
nuke	11–13	-0.05	12%	23 Sept →
ancient	13–9	-0.07	19%	23 Sept →
nuke	16–13	-0.00	15%	21 Sept →
ancient	13–11	0.02	24%	21 Sept →
inferno	13–3	0.01	15%	18 Sept →
ancient	10–13	0.06	11%	18 Sept →
inferno	13–10	0.03	12%	15 Sept →
inferno	13–1	0.13	15%	15 Sept →
dust2	7–13	0.01	11%	14 Sept →
ancient	13–10	0.00	8%	12 Sept →
dust2	15–15	0.02	14%	12 Sept →
ancient	13–7	0.01	13%	11 Sept →
mirage	8–13	0.06	5%	10 Sept →
nuke	16–13	0.07	13%	9 Sept →
ancient	13–9	0.04	13%	9 Sept →
inferno	13–3	-0.02	15%	9 Sept →
nuke	13–8	-0.01	10%	8 Sept →
mirage	8–13	0.01	15%	6 Sept →
inferno	9–13	0.01	14%	6 Sept →
nuke	13–6	0.09	13%	5 Sept →
ancient	4–13	0.01	13%	5 Sept →