KimJongDos — CS2 Stats

NO76561198038578606[U:1:78312878]Steam profile ↗✓ No bans

1,109Tracked matches44%Win rate2021Tracked since

2,519Hours in CS12Hrs last 2 wks

CSDB Rating4.5 Developing

Premier CS Rating16,241Purple band · top ~23.5% of ranked players (population est.)

CSDB Leaderboard#30113 of 54018 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	35.2%	42.2%	42.7%	7.5% short
Shot accuracy	10.8%	11.9%	10.8%	meets
Kill/death ratio	0.94	0.98	1.00	0.06 short
Match win rate	46.6%	43.6%	44.1%	above

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim56

Positioning41

Utility46

0–100 skill scores via Leetify.

Recent form

COLD53–43–4Last 10053%Win rateLLTWLLWWLL

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

Player DNA

Aim5.6

Aggression3.9

Utility4.6

Positioning4.1

Opening Duels0.1

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 76% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

Reaction time. 579ms 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

Aim5.6

Positioning4.1

Utility4.6

Mechanics5.7

Opening Duels1.0

Win Impact3.1

Composite 4.5/10 (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 rating-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time587ms−35ms

first ⅓ avg 622ms → last ⅓ avg 587ms

Headshot accuracy11.0%−0.2%

first ⅓ avg 11.2% → last ⅓ avg 11.0%

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

0.12Best rating — dust2 12–1

13–1Biggest win — nuke

5Longest win streak

L2Current streak

9–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 100% over 6infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	21	11–10	52%	-0.00
dust2	B	20	9–11	45%	0.01
mirage	B	19	10–9	53%	-0.01
inferno	D	13	4–9	31%	-0.01
nuke	B	12	6–6	50%	-0.00
cache	S	9	7–2	78%	0.01
anubis	S	6	6–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,488Lifetime kills

0.94K/D

2,995Matches

46.6%Match win rate · Top 50% of Level 3 players

35.2%Headshot %

10.8%Shot accuracy

6,024MVPs

1,223Hours (in match)

3,671Bombs planted

594Bombs defused

Most-used weapons

AK-4713,604

M4A4 / M4A1-S13,514

AWP5,341

P2000 / USP-S2,511

Glock-182,246

P901,751

FAMAS1,722

MAC-101,427

P2501,041

Desert Eagle895

Lifetime map wins

8,897dust2

4,317inferno

2,687nuke

886train

427vertigo

185cbble

45safehouse

31office

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

Faceit stats

Combat

46Matches

50%Win rate

1.09Avg K/D

74.6ADR

38%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	100%	0.88	15.0
Cache	1	0%	0.77	10.0

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.

11.3%Headshot accuracy

34.3%Accuracy (enemy spotted)

34.0%Spray accuracy

75.6%Counter-strafing

9.8°Preaim

579msReaction time

23.2%T opening success

38.0%CT opening success

0.55Enemies flashed / flash

8.5%Flash assists

7.08HE damage / grenade

7.33Flashes / 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 11.2513% — 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 23.1889% — 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.

31% win rate across 13 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
inferno	1–13	-0.03	8%	28 Aug →
inferno	6–13	-0.00	8%	28 Aug →
ancient	15–15	-0.03	10%	23 Aug →
nuke	13–9	-0.05	11%	23 Aug →
dust2	8–13	-0.02	16%	22 Aug →
mirage	8–13	0.03	12%	22 Aug →
nuke	13–3	-0.01	14%	22 Aug →
mirage	13–7	0.02	12%	22 Aug →
dust2	10–13	0.00	14%	22 Aug →
mirage	7–13	-0.06	21%	21 Aug →
ancient	7–13	-0.05	10%	21 Aug →
dust2	15–15	0.01	14%	21 Aug →
anubis	13–4	0.00	7%	21 Aug →
ancient	10–13	-0.05	8%	21 Aug →
dust2	13–11	0.00	12%	21 Aug →
dust2	13–11	-0.02	10%	8 Aug →
ancient	13–2	0.08	5%	7 Aug →
dust2	2–8	-0.04	8%	7 Aug →
nuke	8–13	-0.02	6%	7 Aug →
ancient	3–13	-0.02	17%	6 Aug →
inferno	11–13	-0.02	15%	6 Aug →
ancient	15–15	-0.02	8%	6 Aug →
nuke	13–9	0.01	16%	31 Jul →
anubis	13–9	0.01	15%	31 Jul →
inferno	7–13	0.03	14%	31 Jul →
ancient	13–9	0.08	14%	30 Jul →
ancient	13–6	-0.00	5%	30 Jul →
inferno	0–5	0.00	7%	30 Jul →
nuke	3–13	-0.03	9%	29 Jul →
mirage	13–4	-0.03	3%	29 Jul →
mirage	16–13	0.02	13%	28 Jul →
anubis	13–11	-0.02	17%	28 Jul →
ancient	13–11	-0.01	5%	28 Jul →
cache	6–13	0.03	17%	28 Jul →
nuke	10–13	-0.02	9%	28 Jul →
dust2	13–11	-0.02	6%	27 Jul →
cache	16–14	-0.02	9%	27 Jul →
ancient	13–10	0.01	14%	27 Jul →
mirage	13–10	0.02	14%	27 Jul →
cache	13–5	-0.00	20%	27 Jul →
mirage	8–13	-0.07	7%	27 Jul →
dust2	15–15	0.01	12%	26 Jul →
mirage	11–13	0.01	24%	26 Jul →
cache	13–7	0.04	7%	26 Jul →
inferno	13–3	0.04	21%	26 Jul →
cache	10–13	-0.01	22%	26 Jul →
dust2	13–7	-0.02	8%	26 Jul →
cache	13–9	-0.01	9%	26 Jul →
inferno	9–13	-0.04	13%	24 Jul →
ancient	13–10	0.03	15%	24 Jul →
nuke	9–13	-0.01	10%	24 Jul →
cache	13–4	0.02	21%	24 Jul →
ancient	9–13	0.01	11%	24 Jul →
dust2	13–10	0.06	12%	24 Jul →
dust2	5–13	-0.02	21%	24 Jul →
mirage	10–13	-0.04	11%	24 Jul →
mirage	14–16	0.02	14%	24 Jul →
mirage	13–9	-0.00	10%	23 Jul →
inferno	13–8	0.05	11%	23 Jul →
dust2	12–1	0.12	13%	23 Jul →
ancient	9–13	-0.03	7%	23 Jul →
mirage	13–11	-0.01	8%	23 Jul →
dust2	13–4	0.11	14%	23 Jul →
cache	13–6	0.04	9%	23 Jul →
ancient	16–12	-0.00	6%	23 Jul →
nuke	11–13	-0.01	5%	23 Jul →
dust2	9–13	0.02	19%	22 Jul →
cache	13–10	0.00	25%	21 Jul →
mirage	10–13	-0.04	30%	21 Jul →
nuke	16–13	-0.00	4%	21 Jul →
nuke	13–3	0.08	20%	21 Jul →
inferno	4–13	-0.06	21%	21 Jul →
mirage	5–13	-0.04	17%	21 Jul →
mirage	7–13	-0.07	5%	21 Jul →
ancient	13–9	0.02	8%	21 Jul →
mirage	13–2	0.02	15%	21 Jul →
ancient	7–13	-0.00	6%	21 Jul →
dust2	8–13	-0.01	7%	20 Jul →
dust2	13–4	-0.00	13%	20 Jul →
anubis	13–5	0.06	10%	4 Jul →
inferno	13–3	-0.02	7%	4 Jul →
dust2	13–11	0.09	16%	27 Jun →
ancient	9–13	0.02	14%	27 Jun →
dust2	7–13	-0.01	7%	27 Jun →
inferno	4–13	-0.07	8%	27 Jun →
ancient	13–7	-0.04	8%	27 Jun →
dust2	8–13	-0.06	5%	24 Jun →
anubis	13–8	0.01	9%	20 Jun →
anubis	13–3	-0.01	2%	19 Jun →
dust2	9–13	-0.01	6%	19 Jun →
nuke	13–1	0.10	9%	18 Jun →
ancient	16–12	-0.01	6%	16 Jun →
inferno	13–10	0.03	12%	15 Jun →
nuke	8–13	-0.09	5%	13 Jun →
inferno	7–13	-0.10	18%	13 Jun →
ancient	11–13	0.03	5%	13 Jun →
mirage	13–9	0.00	9%	13 Jun →
ancient	13–11	-0.03	8%	13 Jun →
mirage	13–9	0.07	20%	13 Jun →
mirage	13–8	0.00	14%	13 Jun →