hku神 — CS2 Stats

US76561198136988792[U:1:176723064]Steam profile ↗✓ No bans

3,048Tracked matches48%Win rate2020Tracked since

CSDB Rating6.6 SolidEntry Fragger

FaceitLevel 10 · 2,216 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning70

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWWWLLWLTTL

Last 10 vs previous 10: -10pp win rate · +0.05 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.5

Aggression10.0

Utility3.8

Positioning7.0

Opening Duels7.2

Clutch2.8

Sharp aimerStrong CT-side openerLimited utility dependence

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 s1mple 90% playstyle similarity

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

Where you differ: lower utility contribution.

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

CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 70% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5

Positioning7.0

Utility3.8

Mechanics6.3

Opening Duels7.1

Win Impact4.4

Composite 6.6/10 (Solid), 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 rating0.04+0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time542ms−37ms

first ⅓ avg 578ms → last ⅓ avg 542ms

Headshot accuracy25.5%+2.0%

first ⅓ avg 23.6% → last ⅓ avg 25.5%

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

0.21Best rating — cache 7–13

13–2Biggest win — cache

4Longest win streak

W3Current streak

5–12In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 57% over 21vertigoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	28	15–13	54%	0.05
mirage	A	21	12–9	57%	0.05
dust2	D	16	5–11	31%	0.02
inferno	B	13	7–6	54%	0.04
vertigo	D	6	1–5	17%	0.02
ancient	B	6	3–3	50%	0.02
anubis	—	4	3–1	75%	0.04
nuke	—	2	1–1	50%	-0.01
overpass	—	2	0–2	0%	0.10
shelter	—	1	1–0	100%	0.06
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,039Matches

52%Win rate

1.34Avg K/D

82.7ADR

37%Headshot %

Clutches & streaks

34%1v1 clutch win

16%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	128	53%	1.44	18.1
Vertigo	71	52%	1.40	19.0
Anubis	61	51%	1.35	18.0
Ancient	45	44%	1.29	18.8
Inferno	39	67%	1.68	18.3
Dust2	25	76%	1.55	16.4
Overpass	13	38%	1.15	16.1
Nuke	13	62%	1.37	20.9

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.

24.6%Headshot accuracy

37.7%Accuracy (enemy spotted)

40.6%Spray accuracy

78.5%Counter-strafing

10.0°Preaim

538msReaction time

47.1%T opening success

70.4%CT opening success

0.39Enemies flashed / flash

7.0%Flash assists

8.56HE damage / grenade

4.42Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3873 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Vertigo

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–2	0.10	16%	25 Aug →
inferno	13–7	0.13	14%	25 Aug →
mirage	13–5	0.10	32%	23 Aug →
inferno	11–13	0.04	25%	23 Aug →
cache	7–13	0.21	22%	22 Aug →
cache	13–9	0.19	27%	22 Aug →
dust2	9–13	0.03	35%	22 Aug →
dust2	12–12	0.07	33%	22 Aug →
dust2	12–12	0.05	18%	22 Aug →
dust2	8–13	-0.06	23%	11 Aug →
mirage	13–4	0.02	26%	9 Aug →
dust2	5–13	0.04	31%	9 Aug →
cache	13–9	0.11	17%	8 Aug →
anubis	13–11	0.05	24%	1 Aug →
cache	4–13	0.04	16%	1 Aug →
dust2	1–6	-0.03	100%	1 Aug →
mirage	13–3	0.04	22%	19 Jul →
vertigo	10–13	-0.06	27%	18 Jul →
anubis	5–13	-0.01	26%	18 Jul →
dust2	13–6	0.12	19%	14 Jul →
shelter	13–9	0.06	25%	13 Jul →
mirage	12–12	-0.00	31%	12 Jul →
mirage	13–11	-0.03	20%	12 Jul →
mirage	8–13	-0.02	19%	8 Jul →
inferno	13–3	0.01	24%	5 Jul →
mirage	13–6	0.07	20%	4 Jul →
cache	3–13	-0.03	7%	3 Jul →
vertigo	11–13	0.05	35%	27 Jun →
cache	8–13	0.04	26%	26 Jun →
cache	11–13	0.07	18%	26 Jun →
inferno	16–12	0.03	27%	25 Jun →
inferno	7–13	-0.01	23%	25 Jun →
vertigo	10–13	0.02	13%	23 Jun →
mirage	13–7	0.13	24%	22 Jun →
dust2	8–13	-0.04	14%	21 Jun →
cache	13–9	0.07	20%	20 Jun →
inferno	11–13	0.02	28%	18 Jun →
mirage	12–12	0.04	34%	15 Jun →
mirage	9–13	0.10	34%	15 Jun →
inferno	11–13	0.04	37%	15 Jun →
cache	10–13	0.03	36%	14 Jun →
cache	13–7	0.04	26%	12 Jun →
dust2	2–7	-0.05	29%	10 Jun →
ancient	11–13	0.00	32%	7 Jun →
cache	11–13	-0.06	37%	2 Jun →
dust2	13–3	0.01	32%	1 Jun →
cache	13–9	-0.01	19%	31 May →
vertigo	7–13	-0.01	18%	31 May →
dust2	13–9	0.06	31%	30 May →
mirage	13–10	-0.00	12%	29 May →
mirage	7–13	0.00	12%	27 May →
inferno	13–3	0.02	25%	26 May →
mirage	13–8	0.05	19%	25 May →
ancient	13–5	0.01	19%	25 May →
nuke	12–12	-0.01	17%	23 May →
dust2	13–11	-0.03	17%	17 May →
dust2	13–6	0.02	26%	17 May →
mirage	13–3	0.10	15%	15 May →
cache	13–9	0.07	15%	13 May →
cache	7–13	-0.04	17%	11 May →
cache	13–5	0.10	21%	10 May →
cache	9–13	0.02	18%	10 May →
cache	13–7	0.14	24%	9 May →
cache	13–6	0.12	22%	9 May →
cache	11–13	-0.02	18%	1 May →
cache	7–13	0.06	14%	30 Apr →
cache	13–11	0.07	38%	30 Apr →
cache	13–9	-0.03	11%	29 Apr →
cache	13–5	0.05	32%	29 Apr →
cache	10–13	0.08	39%	29 Apr →
cache	13–6	0.08	30%	29 Apr →
cache	6–13	-0.02	16%	28 Apr →
cache	13–6	0.03	19%	28 Apr →
mirage	13–7	0.16	23%	28 Apr →
inferno	8–13	0.03	18%	27 Apr →
ancient	13–10	0.03	17%	27 Apr →
nuke	13–10	0.00	27%	27 Apr →
dust2	11–13	0.04	19%	27 Apr →
inferno	13–6	-0.02	23%	26 Apr →
anubis	13–10	0.05	21%	26 Apr →
ancient	10–13	0.05	25%	26 Apr →
mirage	7–13	0.03	16%	26 Apr →
inferno	13–8	0.13	28%	26 Apr →
ancient	13–9	0.06	22%	25 Apr →
mirage	8–13	-0.02	15%	25 Apr →
vertigo	13–5	0.10	41%	25 Apr →
mirage	13–9	0.11	19%	25 Apr →
mirage	12–12	-0.03	18%	25 Apr →
dust2	11–13	-0.00	23%	25 Apr →
mirage	13–9	0.07	36%	25 Apr →
inferno	13–2	0.06	46%	25 Apr →
overpass	10–13	0.10	12%	24 Apr →
ancient	8–13	-0.02	25%	24 Apr →
anubis	13–11	0.06	20%	24 Apr →
overpass	11–13	0.11	24%	24 Apr →
inferno	11–13	0.06	18%	23 Apr →
mirage	10–13	0.04	14%	23 Apr →
train	4–13	-0.03	32%	22 Apr →
vertigo	9–13	0.03	20%	22 Apr →
dust2	9–13	0.02	31%	22 Apr →