YUNG Sweatshop — CS2 Stats

US76561198047550827[U:1:87285099]Steam profile ↗✓ No bans

1,811Tracked matches60%Win rate2020Tracked since

CSDB Rating5.0 Developing

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim54

Positioning46

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateLLLWWLWWWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim5.4

Aggression5.1

Utility5.3

Positioning4.6

Opening Duels1.2

Clutch3.2

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 85% playstyle similarity

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

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

Areas to improve

Reaction time. 604ms 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

Aim5.4

Positioning4.6

Utility5.3

Mechanics6.3

Opening Duels1.2

Win Impact8.3

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time616ms−51ms

first ⅓ avg 666ms → last ⅓ avg 616ms

Headshot accuracy15.0%−1.2%

first ⅓ avg 16.1% → last ⅓ avg 15.0%

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

0.18Best rating — inferno 7–9

13–0Biggest win — mirage

5Longest win streak

L3Current streak

6–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 67% over 9mirageWeakest map · 32% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	10–14	42%	0.02
inferno	C	23	10–13	43%	-0.00
mirage	D	22	7–15	32%	-0.01
anubis	B	11	5–6	45%	-0.01
ancient	S	9	6–3	67%	-0.02
nuke	B	6	3–3	50%	-0.03
cache	—	2	1–1	50%	-0.01
overpass	—	2	1–1	50%	0.06
poseidon	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

706Matches

51%Win rate

1.04Avg K/D

79.6ADR

37%Headshot %

Clutches & streaks

36%1v1 clutch win

25%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	99	49%	0.99	14.5
Inferno	89	45%	0.94	13.7
Anubis	72	50%	1.09	16.2
Vertigo	66	53%	1.18	15.5
Dust2	60	47%	1.05	14.5
Ancient	46	61%	1.03	16.7
Nuke	27	63%	1.02	14.4
Overpass	18	39%	1.18	16.4

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.

14.4%Headshot accuracy

32.9%Accuracy (enemy spotted)

37.1%Spray accuracy

78.5%Counter-strafing

11.6°Preaim

604msReaction time

31.4%T opening success

38.5%CT opening success

0.50Enemies flashed / flash

4.0%Flash assists

8.84HE damage / grenade

11.52Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4041% — below the 15% mark we flag
Aim Training →
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 31.3903% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	0.01	24%	22 Aug →
inferno	11–13	-0.02	14%	22 Aug →
dust2	8–13	-0.05	8%	22 Aug →
mirage	13–0	-0.02	19%	22 Aug →
mirage	13–10	0.00	11%	22 Aug →
inferno	7–13	-0.03	15%	22 Aug →
inferno	13–9	0.01	14%	22 Aug →
dust2	13–11	-0.00	16%	21 Aug →
ancient	16–14	-0.07	17%	21 Aug →
ancient	13–11	-0.02	11%	16 Aug →
cache	7–13	-0.04	5%	16 Aug →
dust2	13–6	0.08	17%	15 Aug →
dust2	13–4	0.09	27%	15 Aug →
nuke	10–13	-0.11	14%	15 Aug →
inferno	13–4	-0.01	18%	15 Aug →
dust2	13–5	0.08	20%	15 Aug →
mirage	16–12	-0.04	9%	15 Aug →
anubis	10–13	0.05	10%	14 Aug →
anubis	13–16	-0.06	12%	8 Jul →
inferno	9–6	-0.01	9%	7 Jul →
anubis	13–8	-0.02	14%	3 Jul →
dust2	5–13	-0.05	29%	3 Jul →
dust2	11–13	0.04	15%	3 Jul →
mirage	3–13	-0.01	8%	3 Jul →
inferno	13–7	0.05	15%	3 Jul →
mirage	13–16	0.02	6%	1 Jul →
nuke	16–14	0.01	13%	27 Jun →
cache	13–8	0.01	14%	5 Jun →
dust2	13–10	-0.01	19%	5 Jun →
anubis	13–8	0.01	10%	25 May →
dust2	13–5	-0.05	22%	25 May →
mirage	13–16	0.01	26%	24 May →
mirage	11–13	0.01	13%	24 May →
anubis	7–13	-0.01	12%	24 May →
mirage	8–13	-0.02	22%	22 May →
anubis	13–7	-0.00	13%	22 May →
inferno	13–6	-0.00	22%	22 May →
ancient	13–9	0.02	12%	28 Apr →
mirage	13–8	0.02	15%	26 Apr →
mirage	10–13	0.00	9%	25 Apr →
anubis	8–13	-0.02	7%	25 Apr →
ancient	9–13	-0.04	16%	25 Apr →
overpass	13–6	0.08	14%	25 Apr →
mirage	5–13	-0.02	7%	25 Apr →
mirage	5–13	-0.04	14%	22 Apr →
mirage	8–13	-0.08	9%	21 Apr →
inferno	13–5	-0.06	16%	20 Apr →
ancient	16–14	0.02	11%	30 Mar →
mirage	13–7	0.07	12%	30 Mar →
dust2	13–6	0.15	22%	29 Mar →
anubis	13–9	0.03	6%	29 Mar →
dust2	10–13	0.03	9%	29 Mar →
ancient	9–13	-0.05	15%	29 Mar →
dust2	2–13	-0.04	16%	28 Mar →
dust2	9–13	0.08	15%	28 Mar →
inferno	2–9	-0.07	29%	28 Mar →
inferno	7–9	0.18	17%	28 Mar →
inferno	2–9	-0.05	6%	28 Mar →
inferno	4–9	0.01	16%	28 Mar →
ancient	14–16	-0.02	4%	28 Mar →
mirage	13–7	0.04	13%	28 Mar →
dust2	6–13	-0.01	11%	27 Mar →
overpass	15–15	0.04	11%	27 Mar →
ancient	13–10	0.01	19%	27 Mar →
inferno	9–4	0.07	34%	27 Mar →
nuke	9–6	-0.03	12%	27 Mar →
inferno	6–9	0.03	18%	27 Mar →
inferno	5–9	-0.04	23%	27 Mar →
nuke	9–6	0.08	23%	27 Mar →
mirage	6–13	-0.01	15%	27 Mar →
poseidon	9–4	0.04	14%	27 Mar →
inferno	9–6	-0.04	15%	27 Mar →
dust2	13–8	-0.03	11%	26 Mar →
dust2	6–13	-0.05	19%	22 Mar →
inferno	8–13	0.09	26%	22 Mar →
inferno	6–13	-0.05	16%	21 Mar →
mirage	13–7	-0.05	12%	21 Mar →
dust2	13–16	-0.07	25%	21 Mar →
mirage	6–13	0.03	14%	20 Mar →
inferno	5–13	-0.07	0%	20 Mar →
anubis	13–10	-0.04	18%	19 Mar →
dust2	11–13	0.07	18%	14 Mar →
mirage	6–13	0.01	10%	14 Mar →
mirage	6–13	0.01	23%	14 Mar →
dust2	11–13	-0.04	7%	14 Mar →
inferno	13–4	-0.03	19%	14 Mar →
inferno	5–13	-0.00	16%	14 Mar →
ancient	13–11	-0.06	17%	14 Mar →
anubis	10–13	-0.00	11%	14 Mar →
nuke	5–13	-0.05	5%	14 Mar →
dust2	6–13	-0.01	24%	11 Mar →
mirage	7–13	-0.03	17%	10 Mar →
dust2	13–9	0.15	16%	1 Mar →
inferno	13–10	-0.06	16%	1 Mar →
inferno	8–13	0.00	10%	1 Mar →
anubis	9–13	-0.05	8%	1 Mar →
mirage	4–13	-0.05	20%	25 Feb →
dust2	13–6	0.02	25%	23 Feb →
dust2	9–13	-0.04	21%	23 Feb →
nuke	6–13	-0.05	23%	21 Feb →