HyungDaniel — CS2 Stats

76561198255801579[U:1:295535851]

345Tracked matches69%Win rate2020Tracked since

1,898Hours in CS17Hrs last 2 wks

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim80

Positioning49

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateWWLLLWWWWL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.0

Aggression8.1

Utility4.6

Positioning4.9

Opening Duels3.5

Limited 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 b1t 90% playstyle similarity

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

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 31 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.

Reaction time. 634ms 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

Aim8.0

Positioning4.9

Utility4.6

Mechanics8.1

Opening Duels3.5

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+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time636ms−10ms

first ⅓ avg 646ms → last ⅓ avg 636ms

Headshot accuracy27.4%+4.8%

first ⅓ avg 22.6% → last ⅓ avg 27.4%

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

0.15Best rating — anubis 13–5

13–0Biggest win — mirage

10Longest win streak

W2Current streak

7–10In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 80% over 10trainWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	19	13–6	68%	0.03
mirage	S	13	10–3	77%	0.04
inferno	B	12	6–6	50%	0.01
nuke	C	11	4–7	36%	-0.02
cache	S	10	8–2	80%	-0.00
overpass	C	9	4–5	44%	0.02
anubis	B	8	4–4	50%	0.01
train	D	8	2–6	25%	-0.01
vertigo	C	5	2–3	40%	0.01
alpine	—	1	1–0	100%	0.06
palacio	—	1	0–1	0%	-0.03
agency	—	1	1–0	100%	0.12
jura	—	1	0–1	0%	0.02
grail	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Lifetime stats

47,795Lifetime kills

1.10K/D · Top 50% of tracked players

2,380Matches

48.4%Match win rate · Top 50% of tracked players

41.2%Headshot %

16.4%Shot accuracy · Top 25% of tracked players

5,918MVPs

1,051Hours (in match)

2,842Bombs planted

616Bombs defused

Most-used weapons

AK-4713,243

AWP11,272

M4A4 / M4A1-S6,249

Desert Eagle3,239

SSG 082,694

P2000 / USP-S2,490

Glock-181,858

P250941

P90594

XM1014552

Lifetime map wins

13,764dust2

2,309inferno

753train

724nuke

441vertigo

128cbble

79office

34lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

78Matches

53%Win rate

1.16Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	1	100%	2.00	20.0
Vertigo	1	100%	1.25	20.0

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.

27.1%Headshot accuracy

32.1%Accuracy (enemy spotted)

35.5%Spray accuracy

86.7%Counter-strafing

8.4°Preaim

634msReaction time

43.0%T opening success

44.8%CT opening success

0.66Enemies flashed / flash

5.1%Flash assists

10.55HE damage / grenade

3.73Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7316 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Train

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–8	-0.00	28%	24 Aug →
dust2	13–6	0.07	25%	24 Aug →
dust2	8–13	-0.05	23%	24 Aug →
mirage	9–13	0.04	31%	17 Aug →
inferno	7–13	-0.02	10%	17 Aug →
dust2	13–4	0.04	11%	17 Aug →
cache	13–7	0.04	20%	17 Aug →
mirage	13–2	0.04	26%	10 Aug →
dust2	13–2	0.10	33%	10 Aug →
overpass	7–13	-0.08	27%	7 Aug →
mirage	4–13	0.05	22%	7 Aug →
inferno	13–11	0.02	29%	7 Aug →
inferno	7–13	0.01	19%	3 Aug →
overpass	13–8	0.14	26%	2 Aug →
nuke	13–10	0.05	30%	2 Aug →
cache	13–5	-0.02	83%	27 Jul →
inferno	13–5	0.03	15%	27 Jul →
nuke	12–12	-0.03	18%	27 Jul →
nuke	6–13	-0.04	21%	26 Jul →
anubis	13–5	0.15	32%	25 Jul →
vertigo	7–13	-0.03	29%	25 Jul →
inferno	13–4	0.02	42%	22 Jul →
inferno	6–13	0.01	29%	5 Jul →
overpass	13–7	0.03	23%	5 Jul →
cache	13–6	0.02	30%	5 Jul →
nuke	13–3	0.08	38%	5 Jul →
mirage	13–6	0.03	27%	5 Jul →
dust2	13–1	-0.03	23%	5 Jul →
anubis	13–7	-0.03	19%	3 Jul →
vertigo	13–6	0.04	33%	3 Jul →
cache	13–7	0.01	39%	3 Jul →
mirage	13–8	0.04	23%	30 Jun →
dust2	13–9	0.00	19%	30 Jun →
dust2	11–13	0.04	23%	29 Jun →
overpass	13–10	0.05	29%	29 Jun →
anubis	13–8	0.05	29%	28 Jun →
overpass	13–5	0.10	17%	28 Jun →
cache	4–13	-0.02	30%	28 Jun →
mirage	13–7	0.01	32%	28 Jun →
nuke	11–13	0.07	43%	28 Jun →
cache	13–5	-0.04	20%	22 Jun →
mirage	13–1	0.06	28%	22 Jun →
dust2	13–7	0.14	35%	22 Jun →
overpass	11–13	-0.02	26%	19 Jun →
train	13–11	0.01	25%	15 Jun →
inferno	10–2	0.06	39%	15 Jun →
dust2	13–9	-0.00	27%	14 Jun →
cache	13–6	-0.02	27%	14 Jun →
cache	13–6	0.02	19%	14 Jun →
mirage	13–0	0.09	17%	14 Jun →
overpass	9–13	0.02	32%	9 May →
anubis	13–16	-0.02	27%	9 May →
nuke	9–13	-0.08	17%	9 May →
cache	4–13	-0.03	38%	9 May →
inferno	8–13	-0.02	22%	9 May →
alpine	13–4	0.06	37%	24 Jan →
mirage	13–9	0.04	16%	19 Jan →
dust2	12–12	0.01	20%	21 Dec →
overpass	5–13	-0.00	28%	14 Dec →
anubis	4–13	-0.01	11%	14 Dec →
dust2	13–11	0.02	13%	14 Dec →
dust2	13–9	0.03	27%	7 Dec →
nuke	6–13	-0.07	14%	7 Dec →
train	11–13	0.00	14%	30 Nov →
palacio	3–13	-0.03	33%	4 Oct →
nuke	11–13	-0.09	23%	4 Oct →
inferno	16–14	-0.03	14%	22 Sept →
train	13–8	0.01	31%	22 Sept →
inferno	13–4	0.07	25%	22 Sept →
dust2	8–13	-0.03	26%	22 Sept →
dust2	13–4	0.08	11%	2 Sept →
overpass	7–13	-0.03	12%	2 Sept →
nuke	11–13	-0.00	23%	2 Sept →
dust2	0–13	-0.01	21%	2 Sept →
dust2	13–11	0.05	24%	22 Jun →
agency	13–8	0.12	19%	14 Jun →
mirage	13–9	0.09	19%	9 Jun →
dust2	11–13	-0.05	19%	9 Jun →
vertigo	11–13	0.02	24%	5 Jun →
dust2	13–7	0.09	25%	5 Jun →
dust2	13–3	0.10	20%	29 May →
mirage	13–11	0.03	25%	26 May →
nuke	13–10	-0.03	26%	26 May →
vertigo	13–11	0.01	30%	26 May →
train	12–12	-0.03	25%	26 May →
mirage	13–8	-0.00	18%	25 May →
mirage	8–13	-0.02	18%	25 May →
anubis	7–13	-0.10	16%	25 May →
train	11–13	-0.03	21%	22 May →
anubis	13–6	0.02	27%	17 May →
inferno	10–13	0.01	23%	17 May →
train	6–13	-0.03	40%	17 May →
train	3–13	-0.03	32%	17 May →
vertigo	6–13	-0.00	20%	17 May →
train	12–12	0.01	26%	17 May →
jura	7–13	0.02	24%	8 May →
grail	13–5	0.03	25%	8 May →
nuke	13–10	-0.01	21%	8 May →
inferno	0–13	-0.04	17%	8 May →
anubis	11–13	-0.01	12%	27 Apr →