Dr.Goblin|Sharkie — CS2 Stats

ZA76561198294585431[U:1:334319703]Steam profile ↗

1,937Tracked matches52%Win rate2020Tracked since

3,432Hours in CS1Hrs last 2 wks

CSDB Rating4.4 Developing

Ladder ranks via Leetify

Performance scores

Aim45

Positioning31

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWLLWWLLWLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim4.5

Aggression4.2

Utility6.6

Positioning3.1

Opening Duels0.2

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 79% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 →

Strengths & areas to improve

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 663ms 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

Aim4.5

Positioning3.1

Utility6.6

Mechanics5.6

Opening Duels0.5

Win Impact5.6

Composite 4.4/10 (Developing), 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-0.03−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time658ms+7ms

first ⅓ avg 651ms → last ⅓ avg 658ms

Headshot accuracy25.3%+4.7%

first ⅓ avg 20.5% → last ⅓ avg 25.3%

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

0.10Best rating — anubis 13–4

13–0Biggest win — nuke

4Longest win streak

7–2In matches decided by ≤2 rounds

3Overtime games

Map breakdown

overpassBest map · 75% over 12ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	10–12	45%	-0.02
mirage	A	21	12–9	57%	-0.01
overpass	S	12	9–3	75%	-0.02
inferno	C	12	5–7	42%	-0.03
anubis	C	10	4–6	40%	-0.01
ancient	D	7	1–6	14%	-0.03
train	S	6	4–2	67%	0.02
vertigo	C	5	2–3	40%	-0.02
nuke	C	5	2–3	40%	0.00

Across the last 100 tracked matches.

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

Lifetime stats

93,860Lifetime kills

0.78K/D

4,431Matches

43.7%Match win rate

51.6%Headshot % · Top 50% of tracked players

13.0%Shot accuracy · Top 50% of tracked players

10,612MVPs

3,102Hours (in match)

2,746Bombs planted

2,535Bombs defused

Most-used weapons

AK-4733,158

M4A4 / M4A1-S15,979

AWP8,613

P2000 / USP-S6,808

Desert Eagle6,740

Glock-183,415

Galil AR3,246

SSG 082,806

MP92,124

FAMAS1,964

Lifetime map wins

14,911dust2

9,935inferno

3,222vertigo

2,621train

2,416nuke

30italy

23office

18lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.0%Headshot accuracy

23.5%Accuracy (enemy spotted)

25.8%Spray accuracy

75.2%Counter-strafing

9.4°Preaim

663msReaction time

27.8%T opening success

34.0%CT opening success

0.81Enemies flashed / flash

5.4%Flash assists

8.30HE damage / grenade

15.69Flashes / 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 27.806% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	0.01	28%	23 Aug →
vertigo	5–13	-0.08	45%	23 Aug →
mirage	9–13	-0.01	11%	15 Jun →
nuke	13–8	-0.03	21%	19 May →
overpass	13–7	-0.04	9%	17 Apr →
ancient	4–13	-0.08	19%	17 Apr →
mirage	9–13	-0.03	18%	17 Apr →
inferno	13–10	-0.04	25%	12 Apr →
mirage	6–13	-0.06	29%	12 Apr →
dust2	8–13	-0.02	21%	8 Apr →
mirage	13–8	-0.00	28%	8 Apr →
anubis	13–6	0.03	32%	6 Apr →
dust2	13–9	-0.02	21%	6 Apr →
mirage	15–15	-0.10	27%	5 Apr →
ancient	13–10	0.04	25%	5 Apr →
dust2	6–13	-0.05	38%	5 Apr →
anubis	13–4	0.10	25%	4 Apr →
inferno	2–13	-0.09	41%	20 Mar →
overpass	13–6	0.04	35%	20 Mar →
ancient	7–13	-0.02	45%	20 Mar →
overpass	13–1	-0.11	19%	18 Mar →
inferno	7–13	-0.02	28%	18 Mar →
overpass	8–13	-0.08	20%	26 Feb →
mirage	13–10	0.03	35%	17 Feb →
anubis	1–13	-0.06	12%	24 Jan →
mirage	4–13	-0.12	20%	24 Jan →
inferno	13–11	-0.07	21%	24 Jan →
dust2	13–9	0.03	40%	24 Jan →
overpass	13–7	-0.07	16%	24 Jan →
vertigo	7–13	-0.05	26%	16 Jan →
overpass	13–7	-0.06	7%	16 Jan →
inferno	8–13	-0.03	21%	16 Jan →
dust2	10–13	-0.05	26%	11 Jan →
anubis	6–13	-0.08	24%	11 Jan →
dust2	13–6	-0.01	20%	11 Jan →
dust2	5–13	-0.06	33%	9 Jan →
dust2	13–7	0.01	37%	9 Jan →
dust2	7–13	-0.05	12%	9 Jan →
mirage	1–13	-0.04	17%	9 Jan →
train	13–2	0.08	24%	8 Jan →
overpass	6–13	-0.07	27%	6 Jan →
inferno	13–11	-0.03	21%	6 Jan →
ancient	6–13	-0.02	22%	6 Jan →
inferno	6–13	-0.06	24%	6 Jan →
mirage	6–13	-0.07	17%	6 Jan →
inferno	13–2	0.08	29%	5 Jan →
mirage	13–8	0.05	14%	5 Jan →
ancient	5–13	-0.01	43%	5 Jan →
dust2	6–13	0.01	36%	5 Jan →
mirage	14–16	0.07	21%	5 Jan →
train	10–13	-0.02	16%	5 Jan →
dust2	13–4	0.01	33%	5 Jan →
mirage	13–4	0.05	27%	4 Jan →
nuke	13–0	-0.00	21%	4 Jan →
vertigo	12–12	-0.03	15%	4 Jan →
dust2	13–4	0.07	28%	4 Jan →
nuke	6–13	0.01	11%	4 Jan →
train	13–8	0.06	23%	4 Jan →
train	13–6	0.06	25%	3 Jan →
dust2	8–13	-0.08	13%	3 Jan →
nuke	6–13	0.05	32%	2 Jan →
anubis	3–13	-0.01	26%	2 Jan →
anubis	13–2	-0.00	20%	2 Jan →
dust2	9–13	0.02	18%	2 Jan →
overpass	13–4	0.00	16%	2 Jan →
vertigo	13–2	0.03	13%	2 Jan →
anubis	9–13	-0.00	16%	31 Dec →
dust2	13–11	-0.09	24%	30 Dec →
dust2	5–13	-0.04	22%	30 Dec →
inferno	6–13	-0.04	19%	30 Dec →
mirage	13–11	-0.08	18%	30 Dec →
inferno	8–13	0.04	25%	28 Dec →
dust2	9–13	-0.08	16%	28 Dec →
mirage	9–13	0.02	28%	28 Dec →
train	13–9	-0.00	15%	28 Dec →
mirage	13–9	0.04	13%	28 Dec →
dust2	13–7	0.01	26%	28 Dec →
mirage	16–14	-0.00	27%	28 Dec →
anubis	10–13	-0.06	8%	27 Dec →
mirage	13–10	0.02	30%	27 Dec →
mirage	13–1	0.02	14%	27 Dec →
overpass	8–13	-0.02	20%	27 Dec →
inferno	12–12	-0.07	13%	26 Dec →
mirage	13–11	-0.03	19%	26 Dec →
overpass	13–9	0.05	27%	26 Dec →
mirage	13–6	-0.01	18%	26 Dec →
overpass	13–4	0.03	30%	25 Dec →
anubis	6–13	-0.02	25%	25 Dec →
mirage	13–3	-0.04	13%	24 Dec →
inferno	13–9	0.00	16%	24 Dec →
anubis	13–5	0.04	17%	24 Dec →
dust2	4–13	-0.05	9%	24 Dec →
train	10–13	-0.02	22%	24 Dec →
dust2	13–11	-0.07	21%	24 Dec →
nuke	10–13	-0.02	16%	23 Dec →
dust2	8–13	0.02	40%	23 Dec →
vertigo	13–8	0.03	15%	23 Dec →
ancient	5–13	-0.08	21%	23 Dec →
ancient	11–13	-0.04	22%	23 Dec →
overpass	13–2	0.03	33%	23 Dec →