Moo Im A Goat — CS2 Stats

US76561198135393076[U:1:175127348]Steam profile ↗✓ No bans

293Tracked matches36%Win rate2021Tracked since

1,799Hours in CS11Hrs last 2 wks

CSDB Rating3.9 LearningClutch Specialist

Ladder ranks via Leetify

Performance scores

Aim44

Positioning55

Utility34

0–100 skill scores via Leetify.

Recent form

COLD46–48–6Last 10046%Win rateTLLWWLLLLW

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.4

Aggression8.3

Utility3.4

Positioning5.5

Opening Duels4.2

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 ropz 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 579ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.4

Positioning5.5

Utility3.4

Mechanics3.8

Opening Duels4.2

Win Impact0.2

Composite 3.9/10 (Learning), 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+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.00

Reaction time578ms−42ms

first ⅓ avg 621ms → last ⅓ avg 578ms

Headshot accuracy12.7%−1.1%

first ⅓ avg 13.8% → last ⅓ avg 12.7%

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

0.08Best rating — dust2 13–6

13–1Biggest win — mirage

5Longest win streak

5–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 75% over 20anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	20	15–5	75%	-0.00
inferno	B	18	9–9	50%	-0.01
mirage	B	18	9–9	50%	-0.02
cache	D	13	3–10	23%	0.01
nuke	A	10	6–4	60%	-0.02
overpass	D	9	3–6	33%	-0.02
anubis	D	7	1–6	14%	-0.02
ancient	—	3	0–3	0%	-0.00
fachwerk	—	1	0–1	0%	0.06
office	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,696Lifetime kills

1.15K/D · Top 25% of tracked players

2,511Matches

45.9%Match win rate · Top 50% of tracked players

31.6%Headshot %

18.1%Shot accuracy · Top 10% of tracked players

5,175MVPs

1,144Hours (in match)

2,049Bombs planted

447Bombs defused

Most-used weapons

AK-4710,108

M4A4 / M4A1-S7,702

AWP5,100

P2000 / USP-S2,386

P901,933

Desert Eagle1,851

SG 5531,696

Glock-181,585

UMP-451,311

SSG 081,189

Lifetime map wins

5,669dust2

1,938inferno

1,275nuke

492train

380office

379cbble

343bank

253lake

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

Faceit stats

Combat

10Matches

30%Win rate

0.71Avg K/D

58.3ADR

38%Headshot %

Clutches & streaks

75%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	6	50%	0.86	12.5
Mirage	2	0%	0.53	18.0
Anubis	1	0%	0.28	5.0
Cache	1	0%	0.61	11.0

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.

12.2%Headshot accuracy

31.7%Accuracy (enemy spotted)

30.8%Spray accuracy

67.1%Counter-strafing

9.8°Preaim

579msReaction time

40.3%T opening success

53.7%CT opening success

0.52Enemies flashed / flash

3.7%Flash assists

11.72HE damage / grenade

1.62Flashes / 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 12.2467% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.6199 — below the 4 mark we flag
Grenade Lineups →

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.

14% win rate across 7 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
fachwerk	12–12	0.06	23%	26 Aug →
cache	11–13	-0.03	4%	24 Aug →
dust2	8–13	-0.00	9%	22 Aug →
dust2	16–13	-0.02	12%	17 Aug →
dust2	13–2	-0.06	31%	15 Aug →
ancient	8–13	0.05	19%	9 Aug →
nuke	9–13	-0.01	7%	1 Aug →
anubis	7–13	0.03	10%	1 Aug →
cache	10–13	-0.01	6%	23 Jul →
dust2	13–6	0.04	12%	14 Jul →
cache	15–15	0.03	11%	14 Jul →
cache	7–13	0.02	12%	14 Jul →
dust2	8–13	0.07	20%	14 Jul →
cache	7–13	-0.07	15%	14 Jul →
ancient	6–13	-0.08	14%	12 Jul →
dust2	13–8	0.07	14%	10 Jul →
inferno	8–13	-0.02	13%	9 Jul →
office	10–13	0.03	14%	28 Jun →
cache	8–13	0.03	12%	28 Jun →
dust2	13–10	0.02	13%	26 Jun →
mirage	10–13	-0.01	9%	26 Jun →
inferno	13–9	0.05	13%	24 Jun →
nuke	10–13	-0.07	10%	23 Jun →
ancient	11–13	0.02	11%	19 Jun →
mirage	13–7	-0.02	10%	19 Jun →
inferno	5–13	-0.04	16%	19 Jun →
dust2	16–14	-0.01	10%	19 Jun →
overpass	13–7	-0.05	9%	19 Jun →
inferno	11–13	-0.02	10%	17 Jun →
inferno	13–9	-0.06	6%	16 Jun →
dust2	13–9	-0.03	18%	13 Jun →
inferno	13–5	0.04	10%	13 Jun →
anubis	15–15	0.03	14%	6 Jun →
anubis	7–13	-0.05	8%	4 Jun →
dust2	13–10	-0.02	13%	1 Jun →
nuke	13–9	-0.03	13%	31 May →
mirage	13–10	0.01	20%	31 May →
inferno	13–16	0.02	9%	29 May →
nuke	13–6	-0.05	9%	29 May →
inferno	13–10	-0.01	12%	23 May →
inferno	9–13	0.00	14%	23 May →
overpass	8–13	-0.00	7%	22 May →
inferno	13–10	-0.04	8%	22 May →
mirage	2–13	-0.08	0%	21 May →
mirage	13–1	-0.01	32%	21 May →
mirage	0–9	-0.05	12%	21 May →
inferno	13–2	0.03	19%	17 May →
overpass	10–13	-0.07	8%	16 May →
anubis	6–13	-0.01	16%	16 May →
mirage	10–13	0.02	11%	14 May →
dust2	13–10	0.02	17%	14 May →
dust2	13–9	0.06	21%	13 May →
nuke	13–8	-0.05	15%	12 May →
overpass	13–8	-0.04	12%	6 May →
cache	13–8	0.02	17%	6 May →
inferno	9–13	-0.05	5%	4 May →
mirage	13–9	0.00	10%	4 May →
overpass	10–13	0.02	10%	2 May →
mirage	7–13	-0.04	8%	2 May →
dust2	16–14	0.00	18%	30 Apr →
cache	9–13	0.04	10%	30 Apr →
cache	13–8	0.01	18%	30 Apr →
cache	13–6	0.01	16%	30 Apr →
cache	6–13	-0.05	12%	29 Apr →
dust2	13–9	0.02	13%	29 Apr →
cache	6–13	0.07	19%	29 Apr →
cache	11–13	0.06	17%	28 Apr →
dust2	5–13	0.04	11%	26 Apr →
anubis	16–13	-0.04	9%	26 Apr →
dust2	13–4	-0.06	16%	26 Apr →
mirage	13–9	-0.05	17%	25 Apr →
mirage	13–4	0.04	12%	25 Apr →
inferno	4–13	-0.00	24%	25 Apr →
nuke	6–13	-0.03	10%	25 Apr →
mirage	7–13	-0.05	12%	23 Apr →
nuke	13–10	-0.03	10%	21 Apr →
inferno	6–13	-0.02	10%	18 Apr →
anubis	4–13	-0.06	13%	12 Apr →
overpass	8–13	-0.02	22%	12 Apr →
dust2	13–6	0.08	20%	11 Apr →
mirage	12–12	-0.03	12%	11 Apr →
nuke	11–13	0.02	7%	11 Apr →
inferno	10–13	-0.05	16%	3 Apr →
mirage	15–15	-0.02	18%	31 Mar →
inferno	13–11	0.04	13%	28 Mar →
overpass	13–5	-0.02	11%	22 Mar →
nuke	13–8	0.03	20%	22 Mar →
mirage	16–12	0.01	11%	9 Mar →
overpass	15–15	0.06	13%	9 Mar →
dust2	5–13	-0.10	5%	1 Mar →
mirage	7–13	-0.03	20%	1 Mar →
mirage	13–10	-0.03	7%	28 Feb →
inferno	13–11	-0.04	4%	28 Feb →
dust2	13–1	-0.06	24%	28 Feb →
dust2	11–13	-0.04	11%	28 Feb →
inferno	13–11	-0.05	20%	23 Feb →
mirage	13–8	-0.04	17%	23 Feb →
nuke	13–10	0.02	17%	22 Feb →
overpass	9–13	-0.03	17%	22 Feb →
anubis	11–13	-0.04	7%	22 Feb →