goril — CS2 Stats

76561198145295581[U:1:185029853]

1,051Tracked matches59%Win rate2020Tracked since

2,789Hours in CS3Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim70

Positioning54

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY57–36–7Last 10057%Win rateTWWLWLLWWL

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.

Aim7.0

Aggression5.6

Utility6.4

Positioning5.4

Opening Duels1.9

Clutch2.6

Effective flashes

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 92% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 625ms 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

Aim7.0

Positioning5.4

Utility6.4

Mechanics7.5

Opening Duels1.9

Win Impact8.1

Composite 6.3/10 (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 rating0.01−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.01

Reaction time631ms+21ms

first ⅓ avg 609ms → last ⅓ avg 631ms

Headshot accuracy22.1%−0.4%

first ⅓ avg 22.5% → last ⅓ avg 22.1%

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

0.16Best rating — vertigo 13–5

13–2Biggest win — inferno

7Longest win streak

11–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 71% over 17nukeWeakest map · 50% over 14

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	18	11–7	61%	0.03
mirage	S	17	12–5	71%	0.03
vertigo	A	16	9–7	56%	0.05
inferno	A	15	9–6	60%	0.03
nuke	B	14	7–7	50%	0.03
dust2	A	11	7–4	64%	0.05
cache	—	4	1–3	25%	0.02
train	—	4	1–3	25%	0.01
ancient	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,866Lifetime kills

1.07K/D · Top 50% of tracked players

4,160Matches

45.7%Match win rate

50.8%Headshot % · Top 50% of tracked players

20.2%Shot accuracy · Top 5% of tracked players

11,075MVPs

3,374Hours (in match)

5,540Bombs planted

1,626Bombs defused

Most-used weapons

AK-4738,604

M4A4 / M4A1-S17,255

Desert Eagle8,336

P2000 / USP-S7,250

AWP6,425

Glock-183,828

Galil AR1,746

MAC-101,719

MP91,502

P2501,460

Lifetime map wins

6,575vertigo

6,013inferno

2,662dust2

2,478train

2,282nuke

331cbble

89office

51lake

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

Faceit stats

Combat

606Matches

51%Win rate

1.35Avg K/D

82.2ADR

46%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	0.96	16.5
Anubis	1	0%	0.67	10.0
Inferno	1	100%	1.73	19.0

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.

21.1%Headshot accuracy

32.6%Accuracy (enemy spotted)

35.4%Spray accuracy

83.6%Counter-strafing

9.4°Preaim

625msReaction time

38.1%T opening success

36.8%CT opening success

0.83Enemies flashed / flash

9.1%Flash assists

14.14HE damage / grenade

8.03Flashes / 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 38.0872% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	12–12	0.00	14%	19 Aug →
nuke	13–7	0.05	28%	19 Aug →
cache	13–8	0.14	34%	16 Aug →
nuke	11–13	0.02	17%	16 Aug →
vertigo	13–5	0.05	26%	16 Aug →
inferno	0–8	-0.01	15%	16 Aug →
nuke	7–13	0.02	21%	11 Aug →
inferno	13–7	-0.01	16%	11 Aug →
vertigo	13–10	0.06	25%	4 Aug →
cache	8–13	-0.08	18%	23 Jun →
nuke	6–13	-0.01	20%	13 May →
inferno	7–13	-0.03	15%	13 May →
vertigo	8–3	-0.01	17%	13 May →
cache	11–13	0.05	30%	13 May →
cache	10–13	-0.02	15%	13 May →
vertigo	12–12	-0.02	20%	9 Apr →
mirage	13–11	-0.06	12%	5 Apr →
vertigo	13–5	0.06	23%	5 Apr →
inferno	13–11	0.06	11%	5 Apr →
nuke	13–10	0.02	18%	5 Apr →
anubis	13–9	0.04	11%	5 Apr →
vertigo	4–13	-0.05	19%	9 Jan →
anubis	13–4	0.12	24%	9 Jan →
inferno	2–9	-0.09	54%	8 Dec →
anubis	9–13	-0.00	23%	3 Sept →
dust2	8–1	0.01	6%	3 Sept →
nuke	13–11	0.05	36%	3 Sept →
vertigo	12–12	0.01	27%	4 Jun →
dust2	3–13	-0.01	41%	4 Jun →
inferno	13–11	0.09	23%	3 May →
train	13–11	0.01	21%	3 May →
train	10–13	-0.03	23%	24 Feb →
train	10–13	0.06	25%	16 Feb →
train	10–13	-0.01	19%	27 Nov →
anubis	15–15	-0.02	21%	10 Nov →
mirage	7–13	-0.05	29%	10 Nov →
inferno	13–7	0.06	21%	5 Nov →
dust2	13–10	0.09	29%	5 Nov →
nuke	16–14	-0.03	18%	3 Nov →
dust2	13–5	0.04	29%	3 Nov →
anubis	13–5	0.04	20%	3 Nov →
inferno	9–13	0.03	23%	3 Nov →
mirage	14–16	0.00	16%	3 Nov →
dust2	8–13	-0.03	18%	2 Nov →
vertigo	13–5	0.16	16%	2 Nov →
vertigo	13–9	-0.02	19%	2 Nov →
anubis	7–13	0.04	24%	2 Nov →
ancient	15–15	-0.02	15%	29 Oct →
mirage	16–12	-0.02	18%	29 Oct →
anubis	8–13	0.07	16%	29 Oct →
mirage	4–13	-0.04	27%	29 Oct →
inferno	13–4	0.12	17%	28 Oct →
anubis	13–11	0.02	16%	28 Oct →
nuke	13–6	0.05	12%	28 Oct →
mirage	16–14	0.15	17%	28 Oct →
mirage	13–10	0.10	24%	27 Oct →
nuke	7–13	0.05	16%	27 Oct →
dust2	8–13	0.06	30%	27 Oct →
vertigo	13–5	0.09	29%	27 Oct →
mirage	13–5	0.10	20%	27 Oct →
anubis	13–8	0.05	9%	26 Oct →
vertigo	10–13	0.07	18%	26 Oct →
vertigo	11–13	0.05	14%	26 Oct →
anubis	9–13	0.06	13%	26 Oct →
dust2	13–7	0.03	14%	26 Oct →
inferno	15–15	0.02	20%	25 Oct →
mirage	16–12	0.02	26%	23 Oct →
anubis	3–13	-0.03	14%	23 Oct →
dust2	13–10	0.15	18%	23 Oct →
anubis	13–11	-0.04	19%	23 Oct →
mirage	13–10	0.01	17%	23 Oct →
vertigo	8–13	-0.03	10%	20 Oct →
nuke	13–9	0.05	22%	20 Oct →
mirage	13–11	0.09	21%	20 Oct →
nuke	2–13	-0.01	20%	18 Oct →
mirage	13–10	0.09	24%	18 Oct →
inferno	13–6	-0.00	9%	18 Oct →
nuke	12–4	0.07	49%	17 Oct →
dust2	13–7	0.09	29%	17 Oct →
vertigo	13–6	0.08	28%	17 Oct →
inferno	13–7	0.05	20%	17 Oct →
anubis	13–7	0.12	25%	16 Oct →
nuke	10–13	0.05	17%	16 Oct →
inferno	6–13	0.04	21%	16 Oct →
vertigo	12–12	0.13	25%	16 Oct →
anubis	13–10	0.02	29%	16 Oct →
inferno	13–4	0.11	33%	14 Oct →
mirage	8–13	-0.05	34%	14 Oct →
anubis	13–7	-0.02	8%	14 Oct →
dust2	5–13	-0.01	17%	13 Oct →
anubis	11–13	-0.00	16%	13 Oct →
mirage	13–8	0.04	29%	9 Oct →
dust2	13–3	0.09	35%	9 Oct →
nuke	9–13	0.07	27%	9 Oct →
inferno	13–2	0.03	22%	9 Oct →
anubis	13–7	0.10	20%	7 Oct →
vertigo	13–11	0.16	20%	7 Oct →
mirage	13–8	0.09	19%	7 Oct →
anubis	13–10	0.01	19%	5 Oct →
mirage	13–4	0.03	25%	5 Oct →