Goatis — CS2 Stats

SE76561198004132195[U:1:43866467]Steam profile ↗✓ No bans

1,460Tracked matches45%Win rate2020Tracked since

2,193Hours in CS21Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating22,651Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)

CSDB Leaderboard#6031 of 21957 tracked

FaceitLevel 8 · 1,508 ELOTop 31.2% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median	Level 9 median	vs Level 9
Headshot rate	43.5%	47.2%	49.0%	5.5% short
Shot accuracy	8.2%	12.3%	13.1%	4.9% short
Kill/death ratio	1.09	1.07	1.08	meets
Match win rate	49.9%	46.3%	46.9%	above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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

Positioning45

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWLWWWLLWLW

Last 10 vs previous 10: +30pp win rate · -0.03 avg rating

Player DNA

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

Aim6.8

Aggression6.1

Utility5.4

Positioning4.5

Opening Duels1.7

Clutch0.6

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 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.8

Positioning4.5

Utility5.4

Mechanics6.1

Opening Duels1.7

Win Impact3.3

Composite 5.3/10 (Developing), 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 rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time540ms−34ms

first ⅓ avg 574ms → last ⅓ avg 540ms

Headshot accuracy16.9%+0.4%

first ⅓ avg 16.5% → last ⅓ avg 16.9%

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

0.17Best rating — inferno 8–8

13–1Biggest win — dust2

4Longest win streak

4–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 75% over 8anubisWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	20	11–9	55%	-0.02
inferno	C	16	7–9	44%	0.00
nuke	D	16	5–11	31%	-0.00
anubis	D	15	3–12	20%	-0.00
ancient	S	12	8–4	67%	0.01
cache	A	11	7–4	64%	0.03
dust2	S	8	6–2	75%	-0.00
vertigo	—	1	0–1	0%	0.00
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,346Lifetime kills

1.09K/D · Top 50% of Level 8 players

2,530Matches

49.9%Match win rate · Top 25% of Level 8 players

43.5%Headshot %

8.2%Shot accuracy

6,518MVPs

1,093Hours (in match)

2,647Bombs planted

665Bombs defused

Most-used weapons

AK-4719,896

M4A4 / M4A1-S9,478

AWP3,675

P2000 / USP-S3,014

Desert Eagle2,289

Glock-182,095

Galil AR999

MP9826

MAC-10753

FAMAS721

Lifetime map wins

5,555inferno

3,287dust2

3,222nuke

675train

300vertigo

218cbble

26office

23bank

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

Faceit stats

Combat

140Matches

56%Win rate

1.11Avg K/D

85.2ADR

44%Headshot %

Clutches & streaks

23%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	31	68%	1.01	15.8
Inferno	16	50%	0.99	14.6
Anubis	14	50%	1.17	17.8
Dust2	12	75%	1.18	20.4
Ancient	9	56%	1.23	16.4
Nuke	5	20%	0.80	14.8
Vertigo	4	0%	0.92	16.5
Overpass	4	100%	1.41	16.0

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.

17.3%Headshot accuracy

33.1%Accuracy (enemy spotted)

34.6%Spray accuracy

77.3%Counter-strafing

9.2°Preaim

550msReaction time

30.4%T opening success

43.5%CT opening success

0.53Enemies flashed / flash

5.3%Flash assists

10.38HE damage / grenade

6.02Flashes / 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 30.4076% — 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.

20% win rate across 15 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	13–10	-0.05	20%	24 Aug →
vertigo	11–13	0.00	19%	24 Aug →
mirage	13–9	-0.01	19%	24 Aug →
anubis	13–11	-0.01	12%	24 Aug →
dust2	19–17	0.01	24%	23 Aug →
inferno	11–13	0.01	13%	23 Aug →
nuke	5–13	-0.01	10%	23 Aug →
ancient	13–10	0.03	9%	23 Aug →
nuke	11–13	-0.08	8%	23 Aug →
mirage	13–5	-0.03	12%	23 Aug →
ancient	7–13	0.02	17%	20 Aug →
inferno	11–13	0.03	22%	18 Aug →
nuke	11–13	0.04	19%	18 Aug →
mirage	13–8	-0.00	19%	17 Aug →
dust2	13–1	-0.01	14%	17 Aug →
mirage	10–13	0.04	13%	16 Aug →
nuke	5–13	0.02	23%	16 Aug →
anubis	15–15	0.05	18%	16 Aug →
nuke	13–9	0.00	25%	16 Aug →
anubis	10–13	0.02	11%	13 Aug →
mirage	13–10	-0.01	23%	13 Aug →
overpass	3–13	-0.02	13%	11 Aug →
anubis	3–13	-0.02	11%	11 Aug →
anubis	2–13	-0.02	20%	9 Aug →
mirage	13–9	-0.01	16%	9 Aug →
cache	13–5	0.11	24%	9 Aug →
anubis	8–13	0.01	9%	9 Aug →
anubis	11–13	-0.06	27%	7 Aug →
mirage	13–9	-0.04	13%	7 Aug →
anubis	9–13	-0.01	27%	7 Aug →
mirage	13–2	0.02	18%	7 Aug →
inferno	7–13	-0.08	18%	6 Aug →
inferno	12–9	0.00	12%	6 Aug →
mirage	8–13	-0.03	16%	6 Aug →
nuke	13–10	0.03	28%	5 Aug →
inferno	8–8	0.17	28%	4 Aug →
dust2	13–4	0.06	43%	4 Aug →
cache	5–13	0.11	27%	4 Aug →
mirage	13–3	0.02	21%	4 Aug →
mirage	2–8	0.03	28%	4 Aug →
nuke	12–12	0.01	18%	4 Aug →
inferno	10–13	-0.01	13%	4 Aug →
ancient	13–10	0.03	18%	4 Aug →
cache	13–6	0.11	22%	4 Aug →
nuke	4–13	-0.04	29%	4 Aug →
ancient	13–4	-0.01	13%	4 Aug →
nuke	10–13	-0.02	29%	4 Aug →
dust2	13–7	-0.03	21%	4 Aug →
inferno	11–13	-0.03	17%	4 Aug →
cache	13–11	-0.02	17%	4 Aug →
dust2	13–6	0.01	16%	3 Aug →
ancient	13–8	0.03	14%	3 Aug →
ancient	9–13	-0.07	5%	3 Aug →
nuke	13–9	0.02	21%	3 Aug →
inferno	13–9	0.05	19%	3 Aug →
nuke	4–13	-0.05	23%	29 Jul →
anubis	11–13	0.01	18%	28 Jul →
cache	7–13	-0.01	14%	28 Jul →
nuke	11–13	-0.00	8%	28 Jul →
mirage	16–13	-0.03	13%	28 Jul →
cache	13–6	0.00	18%	28 Jul →
nuke	13–7	0.04	25%	19 Jul →
ancient	6–13	0.04	18%	19 Jul →
mirage	0–13	-0.07	60%	19 Jul →
mirage	3–13	-0.09	8%	19 Jul →
ancient	8–13	-0.06	20%	19 Jul →
mirage	6–13	-0.02	13%	19 Jul →
anubis	13–10	0.03	13%	19 Jul →
dust2	5–13	-0.05	24%	18 Jul →
dust2	2–13	-0.04	15%	18 Jul →
inferno	6–13	-0.03	14%	18 Jul →
ancient	13–9	0.07	19%	18 Jul →
cache	4–13	-0.01	15%	18 Jul →
ancient	13–9	0.02	7%	18 Jul →
nuke	11–13	-0.01	22%	18 Jul →
dust2	13–8	0.01	23%	18 Jul →
cache	13–11	-0.01	16%	18 Jul →
nuke	4–13	-0.05	21%	15 Jul →
ancient	13–7	0.09	26%	15 Jul →
inferno	9–13	0.01	24%	15 Jul →
anubis	5–13	-0.03	14%	15 Jul →
inferno	0–13	-0.12	10%	15 Jul →
mirage	4–13	-0.03	7%	15 Jul →
anubis	10–13	0.03	16%	15 Jul →
inferno	13–7	0.07	30%	15 Jul →
mirage	13–10	-0.05	22%	14 Jul →
anubis	13–6	0.01	17%	14 Jul →
cache	7–13	-0.03	21%	14 Jul →
cache	13–7	-0.01	18%	14 Jul →
anubis	9–13	0.03	6%	14 Jul →
mirage	9–13	-0.05	8%	14 Jul →
inferno	13–8	-0.03	18%	14 Jul →
mirage	13–4	0.01	20%	14 Jul →
nuke	13–10	0.05	15%	14 Jul →
cache	13–5	0.03	19%	13 Jul →
mirage	2–13	-0.01	7%	13 Jul →
anubis	6–13	-0.05	11%	13 Jul →
inferno	13–7	0.02	23%	13 Jul →
inferno	13–8	0.03	12%	13 Jul →
ancient	13–8	-0.03	12%	12 Jul →