Ya Boy — CS2 Stats

76561198130646000[U:1:170380272]✓ No bans

677Tracked matches46%Win rate2020Tracked since

CSDB Rating4.4 Developing

Premier CS Rating7,796Light Blue band · top ~65.4% of ranked players (population est.)

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim55

Positioning48

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWWWWWLLLTW

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Aim5.5

Aggression3.4

Utility5.1

Positioning4.8

Opening Duels0.0

Clutch0.0

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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 651ms 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

Aim5.5

Positioning4.8

Utility5.1

Mechanics6.7

Opening Duels0.8

Win Impact3.8

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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time657ms+18ms

first ⅓ avg 639ms → last ⅓ avg 657ms

Headshot accuracy14.6%+1.3%

first ⅓ avg 13.3% → last ⅓ avg 14.6%

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

0.32Best rating — nuke 9–0

13–1Biggest win — cache

5Longest win streak

W5Current streak

6–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 64% over 22infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	14–8	64%	0.04
cache	C	16	7–9	44%	-0.01
inferno	D	15	5–10	33%	-0.00
mirage	B	10	5–5	50%	-0.02
ancient	A	8	5–3	63%	0.00
dust2	C	8	3–5	38%	-0.01
anubis	B	8	4–4	50%	0.00
overpass	B	6	3–3	50%	-0.01
vertigo	—	2	1–1	50%	0.03
poseidon	—	2	1–1	50%	-0.04
eldorado	—	1	0–1	0%	-0.12
sanctum	—	1	1–0	100%	0.18
train	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

43Matches

53%Win rate

1.10Avg K/D

72.1ADR

34%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	1	100%	0.75	12.0
Mirage	1	100%	0.45	14.0
Cache	1	0%	1.00	17.0

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.

14.8%Headshot accuracy

34.4%Accuracy (enemy spotted)

37.4%Spray accuracy

80.1%Counter-strafing

11.3°Preaim

651msReaction time

23.2%T opening success

36.5%CT opening success

0.82Enemies flashed / flash

3.0%Flash assists

7.66HE damage / grenade

8.43Flashes / 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 14.7645% — 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 23.184% — 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.

33% win rate across 15 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
nuke	9–1	0.18	3%	27 Aug →
nuke	9–6	0.01	10%	27 Aug →
nuke	9–5	0.10	2%	27 Aug →
nuke	13–6	0.01	12%	21 Aug →
nuke	9–4	0.00	14%	18 Aug →
cache	9–13	-0.05	4%	17 Aug →
nuke	7–9	-0.01	18%	13 Aug →
vertigo	4–9	-0.03	13%	13 Aug →
eldorado	8–8	-0.12	46%	6 Aug →
poseidon	9–6	0.12	21%	6 Aug →
ancient	9–13	-0.01	9%	1 Aug →
ancient	13–9	-0.06	17%	31 Jul →
nuke	13–8	0.01	27%	31 Jul →
inferno	13–6	-0.05	10%	30 Jul →
inferno	13–9	0.03	11%	30 Jul →
inferno	4–13	-0.01	11%	22 Jul →
inferno	13–11	-0.00	13%	19 Jul →
inferno	4–13	-0.05	10%	18 Jul →
dust2	14–16	0.01	14%	12 Jul →
cache	13–7	-0.02	11%	12 Jul →
dust2	13–7	0.01	12%	12 Jul →
cache	13–6	0.07	15%	12 Jul →
dust2	13–9	-0.01	20%	11 Jul →
inferno	9–13	0.00	5%	11 Jul →
cache	13–6	0.03	16%	11 Jul →
dust2	8–13	0.04	20%	11 Jul →
cache	7–13	0.02	26%	11 Jul →
mirage	12–16	-0.06	22%	11 Jul →
mirage	15–15	0.00	13%	11 Jul →
cache	2–13	-0.02	21%	11 Jul →
cache	11–13	-0.05	12%	8 Jul →
mirage	13–7	-0.04	5%	6 Jul →
ancient	13–4	-0.01	17%	6 Jul →
nuke	15–15	-0.07	19%	6 Jul →
anubis	11–13	0.04	16%	6 Jul →
cache	5–13	-0.08	16%	3 Jul →
inferno	8–13	-0.01	21%	28 Jun →
overpass	9–13	-0.06	16%	28 Jun →
cache	13–7	-0.03	14%	28 Jun →
mirage	13–16	-0.04	16%	12 Jun →
anubis	13–11	0.00	16%	12 Jun →
overpass	11–13	-0.05	14%	23 May →
cache	4–13	-0.08	10%	19 May →
cache	3–13	-0.04	22%	19 May →
inferno	9–13	-0.04	15%	18 May →
inferno	13–3	0.01	16%	18 May →
mirage	11–13	-0.01	11%	17 May →
overpass	7–13	0.03	11%	17 May →
cache	7–13	-0.00	13%	14 May →
cache	13–6	0.01	18%	14 May →
cache	13–8	-0.03	12%	9 May →
cache	13–1	0.12	16%	3 May →
cache	6–13	-0.03	14%	3 May →
anubis	13–9	0.01	23%	27 Apr →
mirage	10–13	-0.01	23%	26 Apr →
mirage	13–11	-0.02	12%	26 Apr →
nuke	6–9	-0.01	8%	13 Apr →
nuke	9–2	0.19	8%	13 Apr →
nuke	9–0	0.32	16%	13 Apr →
dust2	5–13	-0.01	21%	11 Apr →
nuke	9–6	0.02	10%	11 Apr →
vertigo	9–0	0.09	0%	8 Mar →
inferno	9–5	0.06	8%	8 Mar →
ancient	13–6	0.02	16%	8 Mar →
nuke	9–6	-0.04	10%	8 Mar →
nuke	6–9	0.00	16%	19 Feb →
sanctum	9–1	0.18	16%	19 Feb →
nuke	5–13	-0.08	9%	15 Feb →
inferno	13–16	-0.03	14%	4 Feb →
inferno	10–13	0.02	15%	2 Feb →
dust2	2–13	-0.06	18%	2 Feb →
mirage	13–6	0.01	12%	30 Jan →
dust2	11–13	-0.06	10%	28 Jan →
nuke	15–15	0.02	12%	28 Jan →
overpass	13–10	-0.07	12%	27 Jan →
dust2	13–7	-0.01	7%	27 Jan →
anubis	7–13	-0.01	14%	27 Jan →
inferno	8–13	0.02	9%	25 Jan →
anubis	13–11	-0.06	13%	24 Jan →
ancient	4–13	-0.07	11%	24 Jan →
mirage	13–11	-0.01	24%	23 Jan →
anubis	13–16	0.01	9%	23 Jan →
ancient	13–9	0.12	9%	23 Jan →
anubis	11–13	0.02	11%	22 Jan →
anubis	13–9	0.01	11%	22 Jan →
poseidon	4–9	-0.20	9%	22 Jan →
ancient	13–10	0.01	15%	17 Jan →
mirage	13–10	0.03	11%	17 Jan →
overpass	13–4	0.08	15%	15 Jan →
nuke	0–9	-0.20	0%	8 Jan →
nuke	9–5	0.11	18%	8 Jan →
nuke	9–4	0.05	14%	8 Jan →
nuke	9–5	0.15	14%	8 Jan →
nuke	4–9	-0.04	22%	7 Jan →
nuke	9–5	0.07	11%	7 Jan →
overpass	13–11	-0.01	12%	29 Dec →
inferno	4–13	0.01	23%	29 Dec →
ancient	10–13	0.02	25%	28 Dec →
train	13–10	-0.00	15%	26 Dec →
inferno	9–13	-0.00	17%	26 Dec →