goathofer — CS2 Stats

AU76561198358302666[U:1:398036938]Steam profile ↗✓ No bans

3,117Tracked matches53%Win rate2020Tracked since

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating20,011Pink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#4399 of 9696 tracked

FaceitLevel 10 · 2,089 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning50

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWLLWLLLLWW

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

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

Aim8.8

Aggression5.8

Utility4.6

Positioning5.0

Opening Duels3.0

Clutch2.8

Sharp aimerStrong 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 90% playstyle similarity

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

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 54% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim8.8

Positioning5.0

Utility4.6

Mechanics7.5

Opening Duels3.0

Win Impact6.1

Composite 6.5/10 (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 rating0.02−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time581ms−30ms

first ⅓ avg 610ms → last ⅓ avg 581ms

Headshot accuracy28.2%−1.2%

first ⅓ avg 29.4% → last ⅓ avg 28.2%

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

0.28Best rating — cache 13–0

13–0Biggest win — cache

8Longest win streak

5–2In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 83% over 6anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	30	15–15	50%	0.05
mirage	B	26	12–14	46%	0.02
dust2	C	13	5–8	38%	0.02
anubis	D	7	2–5	29%	0.04
nuke	S	6	5–1	83%	0.03
ancient	C	5	2–3	40%	-0.02
inferno	A	5	3–2	60%	0.05
office	—	2	1–1	50%	-0.01
vertigo	—	2	2–0	100%	0.10
fachwerk	—	1	0–1	0%	-0.09
overpass	—	1	0–1	0%	0.06
sanctum	—	1	0–1	0%	-0.06
train	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,248Matches

51%Win rate

1.15Avg K/D

75.2ADR

50%Headshot %

Clutches & streaks

34%1v1 clutch win

21%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	157	45%	1.23	16.8
Dust2	80	50%	1.28	16.6
Ancient	80	49%	1.11	14.7
Anubis	44	59%	1.10	16.2
Nuke	32	53%	1.21	16.4
Inferno	31	45%	1.06	15.4
Train	19	74%	1.27	16.8
Overpass	13	46%	1.07	20.6

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.

26.7%Headshot accuracy

37.2%Accuracy (enemy spotted)

40.9%Spray accuracy

83.7%Counter-strafing

8.5°Preaim

581msReaction time

29.4%T opening success

54.2%CT opening success

0.50Enemies flashed / flash

4.1%Flash assists

7.50HE damage / grenade

13.77Flashes / 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 29.4432% — 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.

29% 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
ancient	13–7	-0.04	29%	27 Aug →
mirage	0–5	-0.03	45%	27 Aug →
office	5–13	0.03	37%	24 Aug →
cache	13–0	0.28	42%	24 Aug →
dust2	1–10	-0.01	29%	22 Aug →
cache	3–13	-0.02	5%	22 Aug →
cache	1–13	-0.05	41%	21 Aug →
fachwerk	4–13	-0.09	7%	21 Aug →
office	13–8	-0.05	10%	21 Aug →
dust2	13–6	0.04	45%	11 Aug →
mirage	1–13	-0.05	26%	9 Aug →
mirage	13–4	0.11	56%	9 Aug →
cache	13–9	0.04	8%	5 Aug →
cache	13–4	0.00	26%	3 Aug →
inferno	13–3	0.14	30%	31 Jul →
nuke	13–9	0.04	20%	31 Jul →
cache	6–13	-0.02	25%	28 Jul →
mirage	13–9	0.06	21%	28 Jul →
cache	16–13	0.04	26%	28 Jul →
anubis	3–13	0.14	36%	27 Jul →
mirage	13–6	0.06	20%	27 Jul →
mirage	7–13	-0.02	35%	24 Jul →
mirage	11–13	-0.02	29%	24 Jul →
mirage	4–13	-0.01	47%	18 Jul →
cache	13–9	0.06	22%	17 Jul →
dust2	16–12	-0.02	12%	15 Jul →
ancient	11–13	-0.07	26%	15 Jul →
mirage	13–7	0.04	45%	15 Jul →
cache	13–6	0.04	24%	15 Jul →
ancient	10–13	-0.04	21%	15 Jul →
mirage	12–16	0.00	38%	15 Jul →
dust2	13–5	0.07	27%	15 Jul →
ancient	15–15	-0.00	21%	14 Jul →
anubis	3–13	-0.00	53%	14 Jul →
cache	4–13	-0.01	23%	14 Jul →
anubis	13–3	0.16	34%	14 Jul →
cache	7–13	-0.05	35%	13 Jul →
cache	7–13	-0.01	35%	13 Jul →
cache	5–13	-0.06	23%	13 Jul →
dust2	13–16	-0.02	16%	10 Jul →
cache	9–13	0.05	37%	8 Jul →
cache	13–9	0.07	70%	7 Jul →
mirage	13–8	0.09	39%	5 Jul →
dust2	2–8	-0.03	8%	5 Jul →
cache	5–13	0.03	22%	5 Jul →
mirage	3–13	-0.01	24%	5 Jul →
anubis	11–9	0.01	19%	5 Jul →
cache	13–3	0.06	16%	5 Jul →
cache	10–13	0.07	30%	5 Jul →
mirage	2–5	-0.05	100%	4 Jul →
cache	9–13	-0.03	21%	4 Jul →
mirage	12–12	0.02	25%	4 Jul →
nuke	13–3	0.03	31%	4 Jul →
dust2	6–13	-0.01	47%	4 Jul →
ancient	13–6	0.04	22%	4 Jul →
mirage	7–13	-0.01	31%	3 Jul →
cache	13–5	0.04	30%	3 Jul →
cache	8–13	0.14	36%	1 Jul →
nuke	13–8	0.02	18%	1 Jul →
overpass	6–13	0.06	25%	30 Jun →
cache	13–6	0.06	22%	30 Jun →
cache	13–11	0.04	15%	29 Jun →
dust2	8–13	-0.08	27%	28 Jun →
anubis	10–13	0.07	24%	28 Jun →
inferno	13–4	0.06	15%	28 Jun →
inferno	4–7	0.01	25%	28 Jun →
mirage	6–13	-0.07	14%	28 Jun →
mirage	13–11	0.03	20%	27 Jun →
anubis	3–13	-0.05	25%	26 Jun →
mirage	5–13	0.02	34%	24 Jun →
dust2	5–13	0.11	21%	24 Jun →
vertigo	13–11	0.14	28%	23 Jun →
inferno	7–13	0.04	37%	23 Jun →
nuke	0–3	-0.02	0%	23 Jun →
cache	13–4	0.14	64%	22 Jun →
sanctum	2–9	-0.06	35%	21 Jun →
dust2	12–12	0.04	25%	19 Jun →
cache	13–1	0.15	13%	18 Jun →
vertigo	13–2	0.07	21%	18 Jun →
train	13–9	0.00	36%	15 Jun →
inferno	13–8	-0.01	37%	15 Jun →
mirage	13–10	0.10	27%	15 Jun →
dust2	13–4	0.08	45%	15 Jun →
mirage	13–7	0.20	33%	15 Jun →
cache	13–5	0.07	28%	14 Jun →
cache	3–13	0.06	26%	14 Jun →
dust2	4–13	0.09	30%	13 Jun →
mirage	13–5	0.04	28%	13 Jun →
dust2	13–4	0.06	23%	13 Jun →
cache	13–2	0.14	42%	12 Jun →
mirage	13–2	-0.05	44%	12 Jun →
nuke	13–6	0.06	57%	11 Jun →
mirage	15–15	-0.02	34%	10 Jun →
mirage	8–13	0.04	33%	10 Jun →
cache	2–13	0.00	13%	10 Jun →
nuke	13–9	0.04	30%	9 Jun →
mirage	13–11	-0.06	19%	7 Jun →
anubis	1–13	-0.06	25%	7 Jun →
cache	9–13	0.02	15%	7 Jun →
mirage	13–9	0.09	23%	5 Jun →