White Room- | HIDDENZ神「CN — CS2 Stats

76561198404050817[U:1:443785089]

1,570Tracked matches71%Win rate2020Tracked since

CSDB Rating6.6 SolidClutch Specialist

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning50

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY60–36–4Last 10060%Win rateWWLLWLWLWW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim8.9

Aggression6.0

Utility4.9

Positioning5.0

Opening Duels2.5

Clutch9.4

Sharp aimerStrong CT-side openerReliable in 1v1s

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 Twistzz 92% playstyle similarity

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

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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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 55% on CT to 26% 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

Aim8.9

Positioning5.0

Utility4.9

Mechanics6.2

Opening Duels3.1

Win Impact10.0

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 rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time497ms−79ms

first ⅓ avg 576ms → last ⅓ avg 497ms

Headshot accuracy22.7%−0.9%

first ⅓ avg 23.6% → last ⅓ avg 22.7%

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

0.17Best rating — cache 13–6

13–0Biggest win — inferno

6Longest win streak

W2Current streak

2–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 81% over 16mirageWeakest map · 48% over 25

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	12–13	48%	0.02
dust2	B	21	11–10	52%	0.02
cache	S	16	13–3	81%	0.03
inferno	S	15	10–5	67%	0.03
ancient	A	8	5–3	63%	0.00
anubis	A	7	4–3	57%	0.00
nuke	—	4	3–1	75%	0.04
train	—	2	2–0	100%	0.01
fachwerk	—	1	0–1	0%	0.02
overpass	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (48% over 25). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

147Matches

60%Win rate

1.46Avg K/D

99.3ADR

44%Headshot %

Clutches & streaks

67%1v1 clutch win

42%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	8	75%	1.57	17.1
Inferno	7	71%	1.88	21.1
Ancient	3	67%	1.40	23.7
Anubis	1	0%	1.53	23.0

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.

22.6%Headshot accuracy

39.7%Accuracy (enemy spotted)

42.5%Spray accuracy

77.7%Counter-strafing

9.1°Preaim

499msReaction time

25.8%T opening success

54.5%CT opening success

0.56Enemies flashed / flash

7.8%Flash assists

4.21HE damage / grenade

11.58Flashes / 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.

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 25.8063% — 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.

48% win rate across 25 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
inferno	13–9	0.07	30%	22 Aug →
cache	13–5	-0.04	21%	22 Aug →
dust2	10–13	0.08	22%	22 Aug →
mirage	11–13	-0.04	34%	22 Aug →
mirage	13–8	0.00	15%	22 Aug →
mirage	8–13	0.04	30%	22 Aug →
cache	13–8	0.03	16%	20 Aug →
dust2	2–13	-0.06	22%	20 Aug →
dust2	13–4	0.06	26%	20 Aug →
dust2	13–10	0.00	14%	20 Aug →
ancient	13–9	0.02	23%	20 Aug →
dust2	13–3	0.16	15%	20 Aug →
mirage	8–13	0.04	28%	19 Aug →
inferno	13–0	-0.00	50%	19 Aug →
dust2	13–3	0.05	23%	19 Aug →
anubis	13–9	-0.01	20%	19 Aug →
cache	6–13	-0.02	11%	19 Aug →
ancient	13–10	-0.01	28%	19 Aug →
mirage	6–13	-0.07	13%	19 Aug →
dust2	12–12	-0.02	23%	18 Aug →
dust2	13–8	0.05	16%	18 Aug →
dust2	13–0	0.00	56%	18 Aug →
ancient	12–12	0.07	24%	18 Aug →
anubis	13–6	0.03	16%	18 Aug →
nuke	13–8	0.14	19%	18 Aug →
inferno	13–2	0.06	24%	18 Aug →
dust2	13–2	-0.04	15%	18 Aug →
cache	13–10	0.04	23%	16 Aug →
inferno	13–3	0.03	22%	16 Aug →
anubis	5–13	-0.02	11%	16 Aug →
mirage	13–3	0.12	11%	16 Aug →
dust2	10–13	0.04	31%	16 Aug →
train	13–10	-0.02	16%	12 Aug →
nuke	11–13	-0.04	15%	10 Aug →
mirage	13–9	0.05	25%	5 Aug →
mirage	12–12	0.07	19%	4 Aug →
dust2	11–13	0.01	13%	4 Aug →
mirage	11–4	-0.00	15%	2 Aug →
ancient	13–11	0.04	13%	2 Aug →
dust2	13–4	0.02	18%	2 Aug →
inferno	13–7	0.09	21%	2 Aug →
cache	5–13	-0.01	16%	2 Aug →
mirage	6–13	-0.07	21%	2 Aug →
cache	13–8	0.00	27%	2 Aug →
ancient	1–13	0.01	20%	2 Aug →
inferno	6–13	0.03	23%	26 Jul →
mirage	13–7	-0.07	37%	26 Jul →
cache	13–8	0.01	18%	26 Jul →
nuke	13–3	0.04	27%	26 Jul →
mirage	13–4	0.08	18%	26 Jul →
inferno	13–6	-0.05	26%	25 Jul →
inferno	1–13	-0.08	26%	25 Jul →
cache	13–4	0.02	21%	25 Jul →
train	13–4	0.05	17%	25 Jul →
anubis	10–13	-0.02	8%	25 Jul →
anubis	1–13	-0.08	45%	25 Jul →
ancient	13–5	-0.00	17%	25 Jul →
anubis	13–5	0.01	22%	25 Jul →
cache	5–13	0.05	20%	16 Jul →
inferno	13–6	0.03	29%	16 Jul →
ancient	9–13	-0.06	16%	16 Jul →
mirage	11–13	0.05	18%	16 Jul →
anubis	13–9	0.11	25%	16 Jul →
cache	13–6	-0.03	46%	16 Jul →
mirage	6–13	0.01	12%	16 Jul →
cache	3–0	0.16	40%	16 Jul →
mirage	13–5	0.06	20%	16 Jul →
mirage	9–13	0.00	26%	12 Jul →
mirage	6–13	-0.04	33%	12 Jul →
mirage	4–13	-0.04	17%	12 Jul →
inferno	13–1	0.14	10%	12 Jul →
nuke	13–5	0.03	39%	12 Jul →
mirage	10–13	-0.01	27%	12 Jul →
inferno	8–13	-0.06	16%	12 Jul →
dust2	13–2	0.06	24%	12 Jul →
inferno	9–13	-0.02	16%	11 Jul →
dust2	3–13	0.00	12%	11 Jul →
fachwerk	5–13	0.02	18%	11 Jul →
inferno	10–13	0.10	42%	11 Jul →
cache	13–7	-0.02	37%	11 Jul →
dust2	11–13	-0.01	20%	11 Jul →
mirage	13–4	-0.01	30%	11 Jul →
dust2	13–3	-0.01	26%	11 Jul →
inferno	13–7	0.09	19%	5 Jul →
mirage	13–5	0.08	21%	5 Jul →
cache	13–11	0.03	26%	5 Jul →
inferno	13–7	0.08	41%	5 Jul →
dust2	11–13	0.00	26%	5 Jul →
mirage	13–7	0.05	15%	5 Jul →
mirage	4–13	0.01	21%	5 Jul →
mirage	13–8	0.06	33%	4 Jul →
cache	13–6	0.17	13%	4 Jul →
cache	13–4	0.03	27%	4 Jul →
dust2	6–13	-0.03	13%	4 Jul →
ancient	16–13	-0.03	15%	4 Jul →
dust2	2–13	0.00	32%	4 Jul →
overpass	15–15	0.03	21%	4 Jul →
cache	13–10	0.01	21%	28 Jun →
mirage	13–1	0.17	23%	27 Jun →
dust2	13–3	0.04	20%	27 Jun →