KimJunUn — CS2 Stats

NE76561198170190525[U:1:209924797]Steam profile ↗

297Tracked matches43%Win rate2020Tracked since

1,797Hours in CS

CSDB Rating5.2 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning52

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLLWWLLLWWW

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

Player DNA

Aim5.8

Aggression10.0

Utility5.2

Positioning5.2

Opening Duels5.2

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 sh1ro 86% playstyle similarity

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

Where you differ: lower positioning profile; 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

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

Aim5.8

Positioning5.2

Utility5.2

Mechanics5.6

Opening Duels5.2

Win Impact2.8

Composite 5.2/10 (Developing), 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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time656ms+9ms

first ⅓ avg 646ms → last ⅓ avg 656ms

Headshot accuracy18.0%−2.4%

first ⅓ avg 20.4% → last ⅓ avg 18.0%

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

0.14Best rating — nuke 13–7

13–0Biggest win — mirage

6Longest win streak

L2Current streak

9–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

vertigoBest map · 80% over 10infernoWeakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	17	6–11	35%	0.01
nuke	C	16	7–9	44%	0.02
ancient	C	12	5–7	42%	0.01
mirage	S	12	8–4	67%	0.01
anubis	C	11	4–7	36%	0.01
vertigo	S	10	8–2	80%	0.04
dust2	C	7	3–4	43%	0.02
cache	S	6	4–2	67%	0.03
train	—	4	1–3	25%	-0.05
overpass	—	4	3–1	75%	-0.00
palais	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,399Lifetime kills

0.95K/D

3,838Matches

41.6%Match win rate

39.4%Headshot %

17.6%Shot accuracy · Top 25% of tracked players

8,817MVPs

1,797Hours (in match)

4,623Bombs planted

1,000Bombs defused

Most-used weapons

AK-4719,838

AWP11,072

Desert Eagle10,203

M4A4 / M4A1-S8,960

P2000 / USP-S3,532

P2502,354

Glock-182,248

P901,707

SSG 081,141

Knife1,082

Lifetime map wins

6,781inferno

3,626train

3,240dust2

1,820cbble

1,547nuke

863vertigo

121lake

73bank

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

Faceit stats

Combat

1,012Matches

50%Win rate

0.97Avg K/D

63.0ADR

36%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1	100%	0.59	10.0
Nuke	1	100%	0.88	14.0
Train	1	100%	0.89	16.0

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.

17.8%Headshot accuracy

34.2%Accuracy (enemy spotted)

37.5%Spray accuracy

75.1%Counter-strafing

10.4°Preaim

651msReaction time

52.8%T opening success

49.1%CT opening success

0.68Enemies flashed / flash

8.1%Flash assists

14.30HE damage / grenade

4.32Flashes / match

Recommended for you

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.

35% win rate across 17 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	8–13	0.01	34%	10 Aug →
train	10–13	-0.06	9%	7 Aug →
vertigo	13–11	0.01	17%	7 Aug →
dust2	13–11	0.06	27%	6 Aug →
nuke	7–13	0.03	18%	6 Aug →
cache	9–13	0.01	20%	15 Jul →
ancient	10–13	-0.03	7%	15 Jul →
cache	13–7	0.03	11%	15 Jul →
cache	13–11	0.01	12%	13 Jul →
anubis	13–5	0.01	16%	13 Jul →
nuke	5–13	-0.03	14%	6 Jul →
cache	13–3	-0.00	20%	6 Jul →
mirage	13–4	0.08	16%	5 Jul →
inferno	13–2	0.05	17%	5 Jul →
cache	13–7	0.07	18%	5 Jul →
inferno	11–13	-0.01	33%	5 Jul →
nuke	13–8	0.02	21%	4 Jul →
overpass	13–10	-0.04	11%	3 Jul →
mirage	10–13	-0.04	17%	2 Jul →
anubis	5–13	-0.05	11%	25 Jun →
dust2	6–13	0.05	24%	25 Jun →
inferno	9–13	0.04	12%	24 Jun →
overpass	3–13	-0.02	10%	24 Jun →
mirage	13–6	-0.01	24%	24 Jun →
mirage	13–10	-0.05	9%	23 Jun →
anubis	10–13	0.01	9%	23 Jun →
cache	5–13	0.06	22%	22 Jun →
dust2	5–13	0.02	32%	28 Nov →
ancient	11–13	-0.02	16%	28 Nov →
dust2	9–13	0.01	26%	7 Nov →
overpass	13–6	-0.02	17%	7 Nov →
train	2–13	-0.06	22%	7 Nov →
inferno	13–11	0.09	19%	9 Feb →
train	13–9	-0.03	25%	30 Jan →
ancient	7–13	0.03	13%	30 Jan →
mirage	13–0	0.07	21%	30 Jan →
nuke	11–13	-0.01	20%	30 Jan →
dust2	13–9	0.05	25%	30 Jan →
palais	9–6	0.04	29%	30 Jan →
nuke	2–9	-0.22	17%	30 Jan →
ancient	11–13	-0.05	22%	26 Jan →
vertigo	16–13	-0.03	19%	25 Jan →
mirage	9–13	-0.02	11%	25 Jan →
mirage	15–15	-0.03	17%	13 Jan →
inferno	8–13	0.02	17%	5 Jan →
train	6–13	-0.04	18%	5 Jan →
ancient	13–8	0.01	20%	28 Sept →
vertigo	7–13	0.08	27%	28 Sept →
mirage	13–3	0.12	22%	28 Sept →
anubis	12–12	0.04	14%	28 Sept →
mirage	13–8	0.02	18%	2 Sept →
dust2	10–13	-0.05	16%	2 Sept →
anubis	12–16	0.05	24%	5 Jun →
inferno	8–13	-0.03	18%	4 Jun →
nuke	10–13	0.02	29%	4 Jun →
nuke	13–7	0.14	18%	4 Jun →
inferno	11–13	-0.03	18%	4 Jun →
inferno	13–5	0.08	23%	4 Jun →
vertigo	13–6	0.03	21%	4 Jun →
ancient	13–10	0.05	21%	3 Jun →
anubis	7–13	-0.06	23%	3 Jun →
dust2	13–8	0.01	28%	3 Jun →
inferno	6–13	-0.08	9%	3 Jun →
nuke	13–6	0.03	33%	2 Jun →
inferno	13–8	0.05	13%	2 Jun →
ancient	11–13	-0.01	11%	2 Jun →
mirage	13–11	-0.00	24%	2 Jun →
nuke	13–3	0.01	24%	2 Jun →
ancient	13–5	0.03	17%	2 Jun →
inferno	15–15	-0.02	33%	2 Jun →
ancient	9–13	0.04	22%	2 Jun →
vertigo	10–13	-0.04	17%	2 Jun →
ancient	13–11	0.01	23%	1 Jun →
anubis	13–8	0.01	24%	1 Jun →
inferno	13–6	0.01	35%	1 Jun →
inferno	10–13	-0.04	25%	1 Jun →
anubis	7–13	-0.02	20%	1 Jun →
anubis	13–5	0.07	12%	1 Jun →
nuke	11–13	0.08	24%	31 May →
ancient	10–13	0.04	15%	30 May →
nuke	5–13	0.01	37%	30 May →
vertigo	13–11	0.03	16%	29 May →
anubis	7–13	-0.03	7%	29 May →
nuke	13–6	0.12	29%	28 May →
mirage	13–11	0.08	19%	28 May →
inferno	11–13	0.08	19%	8 Apr →
nuke	13–10	0.03	20%	7 Apr →
vertigo	13–5	0.09	12%	6 Apr →
anubis	13–11	0.06	19%	6 Apr →
inferno	13–3	0.06	26%	6 Apr →
ancient	13–8	-0.02	17%	28 Mar →
vertigo	13–8	0.09	17%	27 Mar →
inferno	10–13	-0.02	11%	18 Mar →
nuke	13–8	0.05	28%	18 Mar →
overpass	13–3	0.07	12%	18 Mar →
vertigo	16–13	0.07	21%	18 Mar →
nuke	7–13	0.05	15%	16 Mar →
mirage	5–13	-0.04	15%	16 Mar →
inferno	4–13	-0.08	19%	13 Mar →
vertigo	13–5	0.11	24%	12 Mar →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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