↫︎EasyMuffins↬ — CS2 Stats

CH76561197960497505[U:1:231777]Steam profile ↗

3,199Tracked matches45%Win rate2021Tracked since

2,920Hours in CS24Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating17,461Purple band · top ~18.6% of ranked players (population est.)

CSDB Leaderboard#22359 of 43215 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	42.5%	44.2%	47.1%	4.5% short
Shot accuracy	8.1%	11.6%	12.8%	4.7% short
Kill/death ratio	1.02	1.03	1.08	0.06 short
Match win rate	44.7%	45.2%	46.6%	1.9% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim68

Positioning54

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateTLLLLWWWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim6.8

Aggression7.6

Utility6.1

Positioning5.4

Opening Duels2.7

Clutch0.8

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 92% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 647ms 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

Aim6.8

Positioning5.4

Utility6.1

Mechanics6.9

Opening Duels2.7

Win Impact3.3

Composite 5.7/10 (Solid), 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 rating-0.00+0.03

first ⅓ avg -0.03 → last ⅓ avg -0.00

Reaction time637ms+13ms

first ⅓ avg 624ms → last ⅓ avg 637ms

Headshot accuracy17.1%+1.7%

first ⅓ avg 15.4% → last ⅓ avg 17.1%

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

0.18Best rating — train 13–7

13–1Biggest win — inferno

7Longest win streak

6–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 50% over 12nukeWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	22	10–12	45%	-0.02
dust2	C	18	7–11	39%	-0.01
anubis	B	15	7–8	47%	-0.03
inferno	B	12	6–6	50%	0.00
mirage	C	12	5–7	42%	-0.03
nuke	D	9	3–6	33%	-0.01
ancient	C	5	2–3	40%	-0.01
office	—	3	2–1	67%	0.00
train	—	2	2–0	100%	0.11
shelter	—	1	0–1	0%	-0.02
fachwerk	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

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

Lifetime stats

75,819Lifetime kills

1.02K/D

4,389Matches

44.7%Match win rate

42.5%Headshot %

8.1%Shot accuracy

9,439MVPs

1,866Hours (in match)

3,946Bombs planted

889Bombs defused

Most-used weapons

AK-4722,192

M4A4 / M4A1-S14,225

Desert Eagle5,383

AWP4,827

MP94,505

MAC-104,303

Glock-184,156

P2000 / USP-S3,480

FAMAS1,734

MP71,577

Lifetime map wins

10,298inferno

5,395dust2

2,931nuke

1,901vertigo

1,307train

384office

136lake

134italy

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

Faceit stats

Combat

148Matches

53%Win rate

1.00Avg K/D

76.6ADR

39%Headshot %

Clutches & streaks

24%1v1 clutch win

16%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	26	54%	1.15	15.0
Anubis	25	44%	1.04	16.0
Dust2	24	50%	1.02	12.4
Nuke	19	63%	0.92	12.4
Mirage	16	44%	0.76	13.1
Ancient	11	55%	1.08	15.4
Overpass	8	38%	0.91	16.8
Train	5	80%	1.07	14.6

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.

17.8%Headshot accuracy

35.8%Accuracy (enemy spotted)

37.6%Spray accuracy

81.2%Counter-strafing

9.7°Preaim

647msReaction time

35.2%T opening success

46.3%CT opening success

0.70Enemies flashed / flash

6.3%Flash assists

10.51HE damage / grenade

8.17Flashes / 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 35.1915% — 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.

33% win rate across 9 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
inferno	15–15	-0.05	11%	29 Aug →
anubis	3–13	-0.09	18%	28 Aug →
cache	10–13	-0.01	14%	28 Aug →
nuke	7–13	-0.02	17%	28 Aug →
inferno	7–13	-0.01	12%	28 Aug →
cache	13–6	0.04	16%	26 Aug →
cache	13–4	-0.01	13%	26 Aug →
dust2	13–4	0.13	23%	25 Aug →
dust2	13–10	0.03	8%	24 Aug →
cache	5–13	-0.04	16%	24 Aug →
cache	13–8	0.05	21%	23 Aug →
dust2	4–13	-0.02	33%	22 Aug →
inferno	9–13	-0.03	30%	22 Aug →
anubis	13–11	-0.04	26%	22 Aug →
dust2	5–13	-0.05	15%	22 Aug →
dust2	13–10	0.07	21%	21 Aug →
cache	11–13	-0.04	26%	20 Aug →
cache	13–6	-0.03	15%	20 Aug →
mirage	1–13	-0.07	18%	18 Aug →
cache	0–13	-0.06	15%	18 Aug →
dust2	13–10	0.02	17%	18 Aug →
anubis	5–13	-0.03	15%	18 Aug →
dust2	8–13	0.00	22%	17 Aug →
mirage	6–13	-0.02	17%	17 Aug →
nuke	13–8	0.04	18%	16 Aug →
dust2	5–13	-0.02	16%	16 Aug →
ancient	13–4	0.05	8%	14 Aug →
dust2	13–6	0.02	10%	14 Aug →
dust2	0–6	-0.05	9%	14 Aug →
mirage	13–10	0.02	25%	13 Aug →
nuke	11–13	0.02	19%	13 Aug →
inferno	13–1	0.16	7%	13 Aug →
mirage	11–13	-0.03	13%	13 Aug →
train	13–9	0.03	13%	12 Aug →
train	13–7	0.18	24%	12 Aug →
anubis	5–13	-0.06	18%	7 Aug →
ancient	14–16	0.04	11%	7 Aug →
nuke	13–3	0.02	15%	5 Aug →
cache	9–13	-0.04	9%	5 Aug →
dust2	5–13	-0.02	11%	5 Aug →
mirage	13–10	-0.03	9%	4 Aug →
anubis	13–7	-0.04	15%	4 Aug →
inferno	13–11	-0.02	21%	4 Aug →
nuke	4–13	0.05	14%	3 Aug →
dust2	12–12	0.07	9%	3 Aug →
inferno	13–4	-0.01	12%	2 Aug →
cache	13–6	0.04	13%	2 Aug →
cache	11–13	-0.03	15%	2 Aug →
mirage	8–13	-0.01	13%	1 Aug →
ancient	7–13	-0.05	14%	1 Aug →
cache	13–10	-0.04	9%	1 Aug →
nuke	10–13	0.01	20%	31 Jul →
anubis	14–16	-0.02	18%	30 Jul →
inferno	15–15	-0.00	13%	30 Jul →
cache	10–13	0.00	13%	30 Jul →
mirage	7–13	-0.07	21%	29 Jul →
inferno	13–8	0.08	16%	26 Jul →
dust2	6–13	-0.05	11%	26 Jul →
mirage	13–9	-0.00	18%	26 Jul →
nuke	9–13	-0.04	15%	25 Jul →
anubis	16–14	-0.03	21%	25 Jul →
dust2	16–13	-0.04	13%	25 Jul →
dust2	13–7	-0.06	18%	25 Jul →
mirage	13–7	-0.01	15%	18 Jul →
anubis	13–9	-0.02	10%	17 Jul →
mirage	13–5	-0.04	18%	17 Jul →
inferno	16–12	0.01	18%	17 Jul →
anubis	5–13	-0.01	10%	17 Jul →
cache	13–9	-0.01	9%	17 Jul →
mirage	10–13	-0.06	9%	17 Jul →
cache	6–13	-0.07	11%	17 Jul →
cache	8–13	-0.03	19%	17 Jul →
inferno	10–13	-0.07	31%	14 Jul →
cache	13–6	-0.02	25%	14 Jul →
inferno	13–8	-0.00	11%	14 Jul →
mirage	7–13	-0.02	27%	14 Jul →
anubis	9–13	-0.08	7%	14 Jul →
ancient	13–11	-0.03	6%	14 Jul →
nuke	13–9	-0.10	17%	14 Jul →
anubis	16–13	-0.04	17%	13 Jul →
cache	13–11	-0.03	21%	13 Jul →
ancient	13–16	-0.03	15%	13 Jul →
cache	2–13	-0.09	3%	13 Jul →
dust2	6–13	-0.05	23%	13 Jul →
anubis	6–13	-0.02	18%	13 Jul →
anubis	13–10	0.02	20%	12 Jul →
dust2	6–13	-0.03	20%	12 Jul →
office	6–13	0.00	17%	12 Jul →
nuke	3–13	-0.05	16%	12 Jul →
cache	12–12	-0.01	14%	12 Jul →
anubis	4–13	-0.04	9%	11 Jul →
office	13–5	0.00	17%	11 Jul →
shelter	7–13	-0.02	18%	10 Jul →
fachwerk	13–7	-0.03	13%	10 Jul →
inferno	10–13	-0.03	16%	9 Jul →
cache	13–16	-0.05	13%	9 Jul →
anubis	13–11	-0.02	10%	9 Jul →
cache	13–6	0.01	12%	9 Jul →
office	13–7	0.01	20%	9 Jul →
dust2	3–13	-0.04	17%	3 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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