goatmeat — CS2 Stats

76561198046573829[U:1:86308101]

829Tracked matches53%Win rate2023Tracked since

620Hours in CS

CSDB Rating4.9 DevelopingHybrid Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim66

Positioning47

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLWLWLWLWLW

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

Player DNA

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

Aim6.6

Aggression4.5

Utility4.8

Positioning4.7

Opening Duels0.9

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 NiKo 86% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim6.6

Positioning4.7

Utility4.8

Mechanics7.0

Opening Duels1.7

Win Impact6.1

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time600ms−17ms

first ⅓ avg 617ms → last ⅓ avg 600ms

Headshot accuracy14.4%+1.6%

first ⅓ avg 12.8% → last ⅓ avg 14.4%

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

0.13Best rating — inferno 13–10

13–3Biggest win — anubis

5Longest win streak

8–8In matches decided by ≤2 rounds

17Overtime games

Map breakdown

anubisBest map · 70% over 10dust2Weakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	19	13–6	68%	0.00
ancient	C	18	8–10	44%	-0.02
mirage	C	13	5–8	38%	-0.02
cache	S	12	8–4	67%	0.01
overpass	C	12	5–7	42%	-0.02
dust2	D	11	3–8	27%	-0.00
anubis	S	10	7–3	70%	-0.00
nuke	A	5	3–2	60%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,039Lifetime kills

0.79K/D

1,635Matches

40.5%Match win rate

37.6%Headshot %

10.6%Shot accuracy

2,310MVPs

620Hours (in match)

2,307Bombs planted

307Bombs defused

Most-used weapons

AK-477,314

AWP4,807

M4A4 / M4A1-S4,713

P2000 / USP-S1,297

Glock-181,148

MP9615

SSG 08609

MAC-10523

Desert Eagle518

Tec-9511

Lifetime map wins

4,139dust2

2,263inferno

604train

430nuke

229vertigo

79cbble

73lake

44bank

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

Faceit stats

Combat

354Matches

49%Win rate

0.81Avg K/D

69.3ADR

36%Headshot %

Clutches & streaks

37%1v1 clutch win

16%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	51	39%	0.94	13.7
Ancient	44	50%	0.90	13.7
Inferno	41	51%	0.81	12.8
Anubis	35	63%	0.86	12.8
Cache	27	59%	0.93	14.4
Overpass	16	75%	0.92	13.1
Dust2	15	33%	0.74	12.3
Train	12	58%	1.14	15.1

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.

14.5%Headshot accuracy

34.8%Accuracy (enemy spotted)

37.3%Spray accuracy

81.6%Counter-strafing

9.7°Preaim

602msReaction time

23.9%T opening success

43.3%CT opening success

0.54Enemies flashed / flash

4.2%Flash assists

7.17HE damage / grenade

6.58Flashes / 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 14.5455% — 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 23.8972% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	10–13	0.03	28%	9 Aug →
cache	13–6	0.04	13%	9 Aug →
mirage	9–13	0.02	24%	31 Jul →
cache	13–9	-0.03	9%	28 Jul →
cache	7–13	-0.00	11%	25 Jul →
dust2	16–14	0.02	17%	24 Jul →
anubis	9–13	-0.07	5%	23 Jul →
cache	13–7	0.01	11%	21 Jul →
inferno	11–13	0.01	8%	19 Jul →
dust2	10–1	0.08	15%	19 Jul →
inferno	13–7	-0.01	14%	19 Jul →
cache	13–10	0.10	22%	18 Jul →
inferno	7–13	-0.03	15%	13 Jul →
ancient	13–10	-0.05	15%	13 Jul →
dust2	5–13	-0.06	6%	13 Jul →
ancient	6–13	-0.03	17%	7 Jul →
anubis	13–10	0.00	10%	7 Jul →
overpass	13–11	-0.03	12%	5 Jul →
cache	10–13	0.06	14%	30 Jun →
cache	13–10	-0.03	26%	29 Jun →
mirage	8–13	-0.05	9%	21 Jun →
cache	13–10	0.02	18%	10 Jun →
cache	13–16	-0.04	13%	1 Jun →
anubis	11–13	-0.07	14%	4 May →
cache	13–11	0.01	17%	4 May →
dust2	19–16	-0.05	10%	4 May →
cache	13–10	0.02	16%	4 May →
anubis	13–3	0.05	13%	4 May →
cache	5–13	0.02	15%	2 May →
anubis	10–13	0.02	17%	30 Apr →
mirage	13–9	0.00	8%	30 Apr →
inferno	13–6	-0.03	16%	30 Apr →
overpass	15–15	0.01	14%	30 Apr →
anubis	13–10	-0.02	8%	29 Apr →
ancient	13–11	-0.02	12%	28 Apr →
dust2	4–13	-0.04	3%	27 Apr →
dust2	8–13	-0.04	6%	26 Apr →
ancient	13–10	-0.01	12%	26 Apr →
inferno	13–9	-0.04	7%	26 Apr →
nuke	16–12	-0.00	10%	26 Apr →
nuke	16–13	-0.01	8%	26 Apr →
inferno	13–10	0.13	22%	26 Apr →
ancient	3–13	-0.01	8%	26 Apr →
dust2	4–13	0.00	22%	26 Apr →
dust2	15–15	0.03	33%	26 Apr →
inferno	13–7	0.01	22%	25 Apr →
ancient	10–13	-0.00	16%	25 Apr →
anubis	13–10	-0.02	9%	25 Apr →
inferno	11–13	-0.03	13%	25 Apr →
ancient	16–13	-0.04	21%	24 Apr →
mirage	13–4	-0.02	16%	23 Apr →
mirage	14–16	-0.06	17%	23 Apr →
inferno	2–13	-0.05	21%	22 Apr →
overpass	7–13	-0.03	5%	21 Apr →
mirage	13–8	-0.00	14%	21 Apr →
ancient	14–16	-0.06	13%	21 Apr →
inferno	7–13	-0.05	8%	20 Apr →
inferno	13–3	0.03	10%	20 Apr →
ancient	16–14	0.01	7%	19 Apr →
dust2	4–13	0.00	13%	19 Apr →
inferno	13–3	-0.02	6%	19 Apr →
overpass	11–13	-0.03	7%	19 Apr →
overpass	7–13	-0.06	15%	19 Apr →
ancient	15–15	0.01	5%	17 Apr →
overpass	13–9	-0.03	7%	16 Apr →
inferno	13–6	0.03	13%	14 Apr →
mirage	9–13	-0.09	11%	11 Apr →
anubis	16–12	-0.03	6%	6 Apr →
mirage	10–13	-0.03	12%	6 Apr →
ancient	13–10	-0.02	14%	6 Apr →
anubis	13–5	0.13	33%	6 Apr →
nuke	5–13	-0.02	12%	6 Apr →
inferno	11–13	0.06	13%	6 Apr →
nuke	13–16	-0.01	4%	4 Apr →
ancient	8–13	-0.02	6%	4 Apr →
mirage	13–10	-0.01	17%	4 Apr →
inferno	13–11	-0.01	15%	3 Apr →
inferno	9–6	0.04	6%	3 Apr →
overpass	13–7	-0.03	13%	2 Apr →
nuke	13–10	-0.01	19%	2 Apr →
ancient	9–13	-0.02	6%	2 Apr →
inferno	13–6	0.07	20%	1 Apr →
ancient	13–9	0.03	9%	31 Mar →
overpass	8–13	-0.00	16%	31 Mar →
mirage	13–6	-0.01	20%	29 Mar →
overpass	13–11	-0.02	10%	29 Mar →
mirage	10–13	-0.04	23%	28 Mar →
ancient	5–13	-0.01	12%	27 Mar →
dust2	15–15	0.01	11%	25 Mar →
ancient	1–7	-0.06	8%	24 Mar →
ancient	10–13	-0.05	7%	24 Mar →
overpass	16–14	-0.02	8%	24 Mar →
inferno	13–8	-0.02	7%	24 Mar →
ancient	13–10	-0.07	24%	24 Mar →
overpass	7–13	-0.03	15%	23 Mar →
anubis	13–10	-0.00	12%	23 Mar →
dust2	13–16	-0.01	18%	17 Mar →
mirage	8–13	-0.00	13%	16 Mar →
inferno	13–10	-0.04	7%	16 Mar →
overpass	11–13	0.01	8%	9 Mar →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

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

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