Muhaha — CS2 Stats

DE76561198840692552[U:1:880426824]Steam profile ↗✓ No bans

5,026Tracked matches57%Win rate2020Tracked since

8,035Hours in CS66Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating23,956Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#6696 of 37329 tracked

FaceitLevel 9 · 1,791 ELOTop 20.7% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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	47.8%	49.0%	52.0%	4.3% short
Shot accuracy	9.3%	13.1%	13.7%	4.3% short
Kill/death ratio	1.01	1.08	1.08	0.08 short
Match win rate	48.4%	46.9%	48.8%	meets

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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

Aim78

Positioning54

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLLWLWWWLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression6.9

Utility6.9

Positioning5.4

Opening Duels3.4

Clutch3.4

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 Twistzz 92% playstyle similarity

Most alike: positioning profile, utility contribution.

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 51% on CT to 36% 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

Aim7.8

Positioning5.4

Utility6.9

Mechanics5.0

Opening Duels3.4

Win Impact7.2

Composite 6.4/10 (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 -0.00 → last ⅓ avg 0.01

Reaction time525ms−70ms

first ⅓ avg 596ms → last ⅓ avg 525ms

Headshot accuracy17.7%−2.2%

first ⅓ avg 19.9% → last ⅓ avg 17.7%

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 — dust2 13–9

13–0Biggest win — inferno

4Longest win streak

5–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 64% over 14anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	36	17–19	47%	0.00
inferno	A	31	17–14	55%	0.01
ancient	A	14	9–5	64%	0.01
anubis	D	9	3–6	33%	-0.02
cache	C	7	3–4	43%	0.01
nuke	—	3	1–2	33%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

184,787Lifetime kills

1.01K/D

9,727Matches

48.4%Match win rate · Top 50% of Level 9 players

47.8%Headshot %

9.3%Shot accuracy

28,006MVPs

4,591Hours (in match)

10,023Bombs planted

2,372Bombs defused

Most-used weapons

AK-4765,578

M4A4 / M4A1-S44,145

MP718,376

P2000 / USP-S12,466

Glock-187,836

FAMAS4,915

MAC-104,307

AWP3,811

P2503,673

HE Grenade2,991

Lifetime map wins

61,231inferno

14,948dust2

4,104nuke

1,852vertigo

618train

12office

10safehouse

9lake

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

Faceit stats

Combat

2,342Matches

51%Win rate

1.05Avg K/D

84.7ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

26%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	278	58%	1.12	18.1
Ancient	225	49%	0.97	15.7
Anubis	193	52%	1.03	16.4
Dust2	160	47%	0.98	16.1
Nuke	39	33%	0.80	13.7
Mirage	30	33%	0.86	14.9
Vertigo	16	44%	0.91	15.9
Train	13	31%	0.94	15.9

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.

17.9%Headshot accuracy

36.3%Accuracy (enemy spotted)

40.4%Spray accuracy

72.7%Counter-strafing

8.5°Preaim

520msReaction time

35.6%T opening success

51.4%CT opening success

0.59Enemies flashed / flash

5.4%Flash assists

12.07HE damage / grenade

13.82Flashes / 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 35.608% — 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.

33% win rate across 9 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
inferno	13–7	0.05	20%	29 Aug →
anubis	4–13	-0.03	15%	29 Aug →
dust2	5–13	-0.06	14%	29 Aug →
dust2	13–11	-0.02	20%	28 Aug →
anubis	8–13	0.05	9%	28 Aug →
ancient	13–5	0.08	11%	28 Aug →
dust2	13–10	0.03	20%	27 Aug →
ancient	13–2	0.02	22%	27 Aug →
inferno	11–13	-0.02	14%	27 Aug →
cache	10–13	-0.04	26%	27 Aug →
dust2	11–13	0.06	16%	26 Aug →
inferno	13–8	-0.01	21%	26 Aug →
dust2	13–2	0.00	21%	26 Aug →
dust2	2–13	-0.07	32%	26 Aug →
ancient	13–10	-0.01	15%	26 Aug →
inferno	13–9	0.09	18%	26 Aug →
dust2	10–13	-0.00	17%	26 Aug →
inferno	13–3	0.05	21%	26 Aug →
inferno	13–0	0.02	18%	26 Aug →
inferno	6–9	0.05	13%	26 Aug →
dust2	5–13	-0.03	13%	25 Aug →
dust2	13–4	0.04	17%	25 Aug →
anubis	13–3	0.01	14%	25 Aug →
anubis	10–13	-0.04	15%	25 Aug →
ancient	13–16	0.07	15%	25 Aug →
inferno	13–10	0.02	23%	25 Aug →
dust2	8–13	-0.01	15%	25 Aug →
dust2	13–4	0.04	24%	25 Aug →
inferno	5–13	-0.05	27%	25 Aug →
nuke	13–5	0.00	13%	24 Aug →
inferno	13–9	0.08	17%	24 Aug →
cache	13–8	-0.00	18%	24 Aug →
ancient	13–6	-0.01	11%	24 Aug →
inferno	11–13	0.06	26%	24 Aug →
anubis	11–13	-0.01	17%	24 Aug →
dust2	13–9	0.00	13%	24 Aug →
cache	3–13	0.03	21%	24 Aug →
nuke	5–13	-0.01	20%	24 Aug →
anubis	16–12	-0.02	28%	24 Aug →
inferno	13–7	-0.03	33%	24 Aug →
dust2	10–13	-0.03	24%	24 Aug →
dust2	13–9	-0.00	11%	24 Aug →
ancient	13–5	0.05	23%	24 Aug →
inferno	13–11	0.02	18%	23 Aug →
inferno	10–13	0.02	22%	22 Aug →
ancient	13–8	-0.07	18%	21 Aug →
dust2	11–13	0.04	15%	21 Aug →
dust2	13–10	-0.00	22%	21 Aug →
ancient	5–13	-0.06	12%	21 Aug →
dust2	10–13	-0.02	17%	21 Aug →
inferno	13–9	-0.01	15%	21 Aug →
inferno	8–13	0.07	22%	20 Aug →
dust2	13–4	0.03	12%	20 Aug →
ancient	11–13	0.00	25%	20 Aug →
cache	13–10	-0.00	19%	19 Aug →
dust2	16–14	-0.02	13%	19 Aug →
inferno	15–15	0.02	27%	19 Aug →
dust2	13–16	-0.00	23%	18 Aug →
inferno	13–16	0.03	18%	17 Aug →
ancient	13–9	0.03	28%	17 Aug →
dust2	8–13	0.02	25%	17 Aug →
inferno	11–13	0.03	14%	16 Aug →
dust2	13–1	0.04	24%	16 Aug →
anubis	7–13	-0.07	12%	16 Aug →
dust2	14–16	0.01	25%	16 Aug →
inferno	13–9	0.08	23%	16 Aug →
dust2	13–1	-0.00	5%	16 Aug →
inferno	13–5	-0.01	13%	16 Aug →
dust2	15–15	-0.00	21%	15 Aug →
dust2	13–10	-0.03	20%	15 Aug →
anubis	9–13	-0.04	23%	15 Aug →
dust2	7–13	-0.03	16%	15 Aug →
cache	16–13	0.04	30%	14 Aug →
dust2	6–13	0.03	17%	14 Aug →
inferno	9–13	-0.05	5%	14 Aug →
anubis	13–3	-0.02	19%	14 Aug →
inferno	13–11	0.07	25%	14 Aug →
ancient	13–7	0.03	23%	14 Aug →
cache	6–13	-0.02	26%	14 Aug →
dust2	4–13	-0.08	20%	14 Aug →
ancient	13–2	0.05	20%	13 Aug →
inferno	13–8	-0.01	19%	13 Aug →
dust2	11–13	-0.03	17%	13 Aug →
dust2	10–13	-0.07	20%	13 Aug →
inferno	1–9	-0.21	28%	13 Aug →
inferno	5–9	-0.04	9%	13 Aug →
inferno	9–7	-0.10	17%	13 Aug →
inferno	10–13	-0.03	15%	11 Aug →
dust2	13–4	0.07	22%	11 Aug →
dust2	13–9	0.00	30%	11 Aug →
inferno	13–7	0.06	24%	11 Aug →
ancient	9–13	-0.02	16%	11 Aug →
dust2	15–15	0.02	12%	10 Aug →
dust2	13–3	0.06	14%	10 Aug →
inferno	13–7	0.00	26%	10 Aug →
nuke	10–13	-0.01	32%	10 Aug →
cache	8–13	0.06	15%	10 Aug →
ancient	7–13	0.02	12%	8 Aug →
dust2	13–9	0.12	28%	8 Aug →
inferno	5–13	0.08	22%	8 Aug →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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