yung proff — CS2 Stats

76561198864801645[U:1:904535917]

392Tracked matches66%Win rate2023Tracked since

CSDB Rating4.4 Developing

FaceitLevel 5 · 1,177 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning47

Utility26

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateWWWLLWWWLW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim5.2

Aggression5.1

Utility2.6

Positioning4.7

Opening Duels1.4

Clutch6.0

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 80% playstyle similarity

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

Where you differ: lower utility contribution; 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 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim5.2

Positioning4.7

Utility2.6

Mechanics5.5

Opening Duels1.7

Win Impact10.0

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time615ms−34ms

first ⅓ avg 649ms → last ⅓ avg 615ms

Headshot accuracy15.4%+0.6%

first ⅓ avg 14.8% → last ⅓ avg 15.4%

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 — mirage 13–5

13–2Biggest win — dust2

5Longest win streak

W3Current streak

15–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 53% over 19infernoWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	13–13	50%	0.00
dust2	B	21	11–10	52%	-0.02
nuke	B	19	10–9	53%	-0.00
inferno	B	11	5–6	45%	-0.01
ancient	B	10	5–5	50%	-0.01
overpass	B	8	4–4	50%	-0.02
train	—	3	3–0	100%	-0.00
cache	—	1	1–0	100%	-0.04
grail	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

22Matches

55%Win rate

0.90Avg K/D

68.9ADR

43%Headshot %

Clutches & streaks

50%1v1 clutch win

9%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	60%	0.88	13.9
Dust2	5	40%	0.84	11.4
Nuke	3	67%	1.29	14.7
Overpass	2	100%	0.98	18.0
Inferno	1	0%	0.71	12.0
Ancient	1	0%	0.31	5.0

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.

14.6%Headshot accuracy

34.1%Accuracy (enemy spotted)

29.6%Spray accuracy

74.7%Counter-strafing

9.7°Preaim

619msReaction time

27.2%T opening success

43.7%CT opening success

0.77Enemies flashed / flash

6.3%Flash assists

8.86HE damage / grenade

21.58Flashes / 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 14.6083% — 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 27.1827% — below the 40% mark we flag

Spend your practice time on Inferno

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	16–14	-0.07	6%	22 Jul →
cache	13–10	-0.04	14%	22 Jul →
nuke	13–6	0.01	22%	11 Jul →
dust2	1–13	-0.07	12%	18 Oct →
overpass	11–13	-0.04	19%	7 Oct →
ancient	13–9	0.02	21%	7 Oct →
mirage	13–11	0.04	13%	6 Oct →
dust2	13–3	-0.01	14%	1 Oct →
mirage	11–13	0.02	11%	30 Sept →
nuke	13–8	0.05	10%	30 Sept →
inferno	14–16	-0.04	14%	29 Sept →
mirage	13–8	0.07	20%	28 Sept →
ancient	10–13	-0.01	13%	28 Sept →
nuke	9–13	-0.05	24%	28 Sept →
dust2	11–13	0.03	20%	28 Sept →
dust2	13–8	0.02	7%	28 Sept →
mirage	13–11	0.02	9%	27 Sept →
mirage	13–11	0.05	10%	26 Sept →
nuke	6–13	-0.07	13%	26 Sept →
nuke	13–9	0.05	13%	25 Sept →
mirage	6–13	-0.03	13%	25 Sept →
overpass	6–3	-0.05	20%	25 Sept →
train	13–4	0.02	14%	24 Sept →
ancient	12–12	0.09	15%	24 Sept →
inferno	4–13	-0.05	29%	24 Sept →
mirage	13–5	0.09	6%	24 Sept →
inferno	13–6	0.01	21%	22 Sept →
train	16–14	0.02	17%	22 Sept →
inferno	13–9	0.03	17%	22 Sept →
dust2	13–11	-0.07	11%	21 Sept →
dust2	10–13	-0.02	17%	21 Sept →
ancient	5–13	-0.01	25%	20 Sept →
dust2	13–11	-0.01	18%	18 Sept →
overpass	6–13	-0.05	26%	18 Sept →
dust2	8–13	-0.05	17%	18 Sept →
dust2	13–8	0.04	17%	18 Sept →
dust2	1–13	-0.08	4%	18 Sept →
dust2	13–8	-0.02	10%	17 Sept →
nuke	12–12	-0.05	16%	17 Sept →
mirage	11–13	0.03	21%	16 Sept →
dust2	4–13	-0.07	8%	16 Sept →
dust2	13–9	-0.04	9%	11 Sept →
mirage	9–13	-0.04	11%	11 Sept →
dust2	12–16	-0.03	11%	11 Sept →
mirage	15–15	-0.02	21%	4 Sept →
dust2	13–2	0.07	24%	4 Sept →
inferno	3–13	-0.02	15%	2 Sept →
inferno	13–7	0.04	16%	2 Sept →
mirage	13–7	0.01	18%	2 Sept →
mirage	13–11	0.01	13%	1 Sept →
nuke	3–13	0.02	22%	1 Sept →
nuke	13–2	0.03	11%	1 Sept →
mirage	13–3	0.04	21%	1 Sept →
grail	13–10	-0.02	7%	1 Sept →
dust2	4–13	-0.00	20%	1 Sept →
mirage	9–13	0.01	13%	1 Sept →
overpass	16–14	-0.00	15%	31 Aug →
dust2	7–13	-0.04	13%	31 Aug →
mirage	2–13	-0.10	12%	30 Aug →
mirage	7–13	0.05	18%	28 Aug →
dust2	13–11	-0.08	15%	28 Aug →
ancient	5–10	0.00	27%	28 Aug →
dust2	13–8	-0.00	13%	28 Aug →
overpass	13–8	-0.04	10%	27 Aug →
dust2	11–13	-0.00	15%	25 Aug →
nuke	7–13	-0.01	13%	25 Aug →
ancient	13–9	-0.06	17%	25 Aug →
nuke	13–4	0.08	18%	24 Aug →
nuke	13–5	0.02	22%	24 Aug →
mirage	1–8	-0.01	12%	22 Aug →
ancient	13–4	-0.02	34%	22 Aug →
inferno	13–10	-0.01	9%	22 Aug →
nuke	10–13	-0.01	20%	21 Aug →
nuke	8–13	-0.01	8%	20 Aug →
mirage	9–13	-0.05	5%	19 Aug →
mirage	13–11	-0.03	13%	19 Aug →
ancient	13–10	-0.02	13%	19 Aug →
inferno	8–13	-0.03	12%	18 Aug →
overpass	13–11	0.06	12%	17 Aug →
dust2	13–8	-0.02	24%	17 Aug →
ancient	5–13	-0.07	15%	17 Aug →
nuke	13–4	-0.02	16%	17 Aug →
mirage	13–8	-0.06	15%	17 Aug →
nuke	8–13	-0.03	8%	16 Aug →
inferno	11–13	-0.01	22%	16 Aug →
train	13–11	-0.05	15%	16 Aug →
overpass	6–13	-0.06	4%	15 Aug →
inferno	16–13	0.01	16%	15 Aug →
nuke	13–11	0.02	17%	15 Aug →
mirage	9–13	0.00	13%	14 Aug →
mirage	13–6	0.02	11%	14 Aug →
nuke	13–11	-0.04	21%	13 Aug →
nuke	6–13	-0.03	19%	13 Aug →
nuke	16–13	0.03	8%	12 Aug →
mirage	4–13	0.05	12%	12 Aug →
mirage	11–13	-0.06	17%	12 Aug →
inferno	11–13	-0.00	18%	11 Aug →
overpass	7–13	-0.01	17%	11 Aug →
mirage	13–3	0.00	9%	10 Aug →
ancient	13–9	-0.03	12%	10 Aug →