Skurk — CS2 Stats

76561198153872056[U:1:193606328]Steam profile ↗

1,639Tracked matches50%Win rate2020Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating18,689Purple band · top ~13.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning44

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLLLWLWLLWW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim6.6

Aggression4.8

Utility6.9

Positioning4.4

Opening Duels0.8

Clutch3.2

Strong CT-side openerEffective 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 88% playstyle similarity

Most alike: opening-fight frequency, 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 →

Strengths & areas to improve

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 44% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Positioning4.4

Utility6.9

Mechanics5.8

Opening Duels1.7

Win Impact5.0

Composite 5.4/10 (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-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time569ms+2ms

first ⅓ avg 568ms → last ⅓ avg 569ms

Headshot accuracy16.1%−1.8%

first ⅓ avg 18.0% → last ⅓ avg 16.1%

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

0.09Best rating — anubis 13–8

13–2Biggest win — inferno

5Longest win streak

L3Current streak

10–14In matches decided by ≤2 rounds

17Overtime games

Map breakdown

cacheBest map · 71% over 14dust2Weakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	25	15–10	60%	-0.04
inferno	A	24	15–9	63%	-0.01
cache	S	14	10–4	71%	-0.01
vertigo	C	11	4–7	36%	-0.03
dust2	D	9	3–6	33%	-0.03
train	D	6	2–4	33%	-0.03
nuke	C	5	2–3	40%	-0.05
overpass	—	3	1–2	33%	-0.04
ancient	—	2	0–2	0%	-0.03
anubis	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

905Matches

50%Win rate

0.89Avg K/D

66.6ADR

39%Headshot %

Clutches & streaks

36%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	199	56%	0.89	13.2
Inferno	159	58%	0.95	13.6
Dust2	84	38%	0.85	12.8
Overpass	59	47%	0.91	13.9
Nuke	44	52%	0.80	11.9
Cache	42	43%	0.83	12.5
Anubis	37	35%	0.69	10.7
Ancient	34	26%	0.63	10.5

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.

15.7%Headshot accuracy

33.5%Accuracy (enemy spotted)

35.8%Spray accuracy

76.0%Counter-strafing

9.1°Preaim

561msReaction time

22.5%T opening success

43.8%CT opening success

0.77Enemies flashed / flash

5.3%Flash assists

8.02HE damage / grenade

13.49Flashes / 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 22.489% — 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.

33% win rate across 9 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	7–13	-0.03	14%	24 Aug →
cache	14–16	-0.04	19%	24 Aug →
train	9–13	-0.04	12%	24 Aug →
mirage	13–6	-0.03	5%	24 Aug →
vertigo	1–13	-0.05	13%	23 Aug →
dust2	13–8	-0.01	15%	23 Aug →
overpass	4–13	-0.06	13%	23 Aug →
inferno	10–13	-0.06	16%	23 Aug →
cache	13–7	0.05	17%	23 Aug →
mirage	16–14	-0.01	10%	23 Aug →
inferno	13–6	-0.05	19%	23 Aug →
mirage	14–16	-0.04	12%	22 Aug →
cache	13–6	0.01	13%	22 Aug →
overpass	13–6	0.00	6%	22 Aug →
train	17–19	-0.06	16%	22 Aug →
vertigo	15–19	-0.07	24%	22 Aug →
dust2	13–4	0.02	25%	22 Aug →
nuke	11–13	-0.05	9%	21 Aug →
mirage	13–9	-0.00	14%	21 Aug →
dust2	5–13	-0.07	13%	21 Aug →
cache	11–13	0.08	18%	21 Aug →
vertigo	13–11	0.03	7%	21 Aug →
mirage	13–16	-0.07	17%	20 Aug →
inferno	13–9	0.03	10%	20 Aug →
mirage	13–9	-0.07	16%	20 Aug →
inferno	3–13	-0.04	14%	20 Aug →
cache	13–8	-0.04	13%	19 Aug →
train	13–5	-0.03	58%	19 Aug →
mirage	12–16	-0.07	15%	19 Aug →
inferno	13–9	0.07	25%	19 Aug →
inferno	3–13	-0.04	18%	19 Aug →
train	5–13	-0.03	23%	19 Aug →
cache	13–11	-0.01	15%	19 Aug →
mirage	13–11	0.01	31%	17 Aug →
inferno	13–9	-0.05	12%	17 Aug →
mirage	9–13	-0.07	17%	16 Aug →
overpass	9–13	-0.06	17%	16 Aug →
mirage	13–10	-0.01	21%	16 Aug →
cache	4–13	-0.01	16%	16 Aug →
dust2	5–13	-0.07	18%	16 Aug →
inferno	13–6	-0.00	28%	16 Aug →
inferno	13–7	-0.05	33%	16 Aug →
cache	16–14	-0.02	17%	15 Aug →
mirage	13–11	-0.00	24%	15 Aug →
inferno	13–11	-0.00	16%	15 Aug →
mirage	6–13	-0.09	6%	15 Aug →
dust2	11–13	0.06	13%	14 Aug →
mirage	13–5	-0.01	14%	14 Aug →
inferno	16–12	-0.00	20%	14 Aug →
mirage	13–6	-0.02	33%	14 Aug →
nuke	4–13	-0.08	17%	14 Aug →
vertigo	14–16	-0.10	16%	13 Aug →
cache	13–8	0.01	16%	13 Aug →
mirage	13–4	-0.03	21%	13 Aug →
inferno	13–11	-0.05	15%	13 Aug →
mirage	13–16	-0.04	22%	13 Aug →
dust2	13–9	-0.02	30%	12 Aug →
mirage	13–8	-0.03	43%	12 Aug →
vertigo	13–9	-0.04	14%	12 Aug →
train	13–3	0.05	29%	12 Aug →
cache	14–16	-0.02	13%	12 Aug →
vertigo	13–5	0.02	12%	12 Aug →
mirage	9–10	-0.01	17%	12 Aug →
inferno	13–9	-0.01	19%	12 Aug →
inferno	12–16	-0.01	12%	12 Aug →
mirage	9–13	-0.07	11%	12 Aug →
vertigo	9–13	-0.04	11%	12 Aug →
inferno	11–13	0.05	18%	12 Aug →
ancient	11–13	-0.09	7%	12 Aug →
mirage	4–13	-0.08	40%	12 Aug →
cache	13–11	-0.05	23%	11 Aug →
vertigo	13–10	-0.02	14%	11 Aug →
inferno	13–6	0.04	21%	11 Aug →
vertigo	20–22	0.00	21%	11 Aug →
cache	13–8	0.01	24%	11 Aug →
mirage	13–8	-0.03	15%	11 Aug →
anubis	13–8	0.09	16%	11 Aug →
dust2	14–16	-0.03	14%	11 Aug →
inferno	0–9	-0.08	22%	11 Aug →
mirage	13–7	-0.01	7%	11 Aug →
vertigo	18–22	-0.03	10%	11 Aug →
inferno	13–5	-0.04	24%	11 Aug →
nuke	13–6	-0.06	23%	11 Aug →
inferno	13–2	0.01	12%	11 Aug →
dust2	6–13	-0.08	5%	10 Aug →
ancient	5–13	0.03	16%	10 Aug →
mirage	13–3	-0.05	13%	10 Aug →
vertigo	5–13	-0.03	26%	10 Aug →
inferno	14–16	-0.04	13%	10 Aug →
cache	13–11	-0.02	13%	8 Aug →
inferno	13–10	-0.06	7%	7 Aug →
train	9–13	-0.07	17%	6 Aug →
mirage	13–8	-0.03	24%	6 Aug →
nuke	5–13	-0.06	19%	6 Aug →
inferno	13–7	0.09	20%	6 Aug →
inferno	10–13	0.01	12%	6 Aug →
cache	13–10	-0.06	11%	6 Aug →
dust2	6–13	-0.05	27%	6 Aug →
inferno	7–13	0.03	30%	6 Aug →
nuke	13–2	-0.01	29%	6 Aug →