Kuginnnn — CS2 Stats

76561198327967810[U:1:367702082]✓ No bans

347Tracked matches54%Win rate2023Tracked since

2,513Hours in CS

CSDB Rating5.0 Developing

Premier CS Rating17,765Purple band · top ~17.4% of ranked players (population est.)

CSDB Leaderboard#6002 of 10661 tracked

FaceitLevel 6 · 1,215 ELOTop 54.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning46

Utility48

0–100 skill scores via Leetify.

Recent form

COLD57–40–3Last 10057%Win rateLWLLWWLLLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim5.2

Aggression6.7

Utility4.8

Positioning4.6

Opening Duels1.8

Clutch2.8

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 82% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: higher opening-fight frequency; 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. 667ms 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

Aim5.2

Positioning4.6

Utility4.8

Mechanics6.6

Opening Duels1.8

Win Impact6.2

Composite 5.0/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time662ms−8ms

first ⅓ avg 671ms → last ⅓ avg 662ms

Headshot accuracy16.0%−0.5%

first ⅓ avg 16.4% → last ⅓ avg 16.0%

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

0.16Best rating — dust2 13–8

13–1Biggest win — overpass

10Longest win streak

7–4In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 80% over 5nukeWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	32	18–14	56%	0.02
dust2	B	26	14–12	54%	0.02
inferno	A	16	9–7	56%	-0.02
nuke	D	9	3–6	33%	0.00
ancient	S	8	6–2	75%	0.01
anubis	S	5	4–1	80%	-0.00
overpass	—	3	3–0	100%	0.02
edin	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,615Lifetime kills

0.86K/D

723Matches

44.8%Match win rate

51.5%Headshot % · Top 50% of tracked players

0.5%Shot accuracy

1,425MVPs

2,513Hours (in match)

423Bombs planted

151Bombs defused

Most-used weapons

AK-478,838

M4A4 / M4A1-S2,423

AWP1,325

P2000 / USP-S814

Desert Eagle546

Glock-18466

MP9444

MAC-10310

Galil AR275

Knife275

Lifetime map wins

1,502dust2

1,269inferno

453nuke

82vertigo

47train

10office

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

Faceit stats

Combat

333Matches

50%Win rate

1.00Avg K/D

76.3ADR

43%Headshot %

Clutches & streaks

34%1v1 clutch win

23%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	84	45%	0.98	15.0
Dust2	68	47%	1.04	15.5
Inferno	54	57%	1.00	14.2
Ancient	49	61%	1.01	16.0
Overpass	30	57%	1.05	15.2
Anubis	25	40%	0.92	15.2
Nuke	20	45%	0.96	13.7
Train	3	33%	0.92	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.

14.8%Headshot accuracy

33.9%Accuracy (enemy spotted)

35.6%Spray accuracy

79.9%Counter-strafing

10.9°Preaim

667msReaction time

41.3%T opening success

32.8%CT opening success

0.43Enemies flashed / flash

7.0%Flash assists

9.94HE damage / grenade

6.49Flashes / 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 14.7872% — below the 15% mark we flag
Aim Training →
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 0.4306 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 32.7521% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	-0.01	18%	15 Apr →
mirage	13–10	0.01	13%	6 Apr →
nuke	8–13	0.01	17%	1 Apr →
mirage	6–13	0.04	13%	1 Apr →
inferno	16–13	0.10	7%	29 Mar →
dust2	13–10	0.06	18%	29 Mar →
inferno	5–13	-0.01	16%	28 Mar →
mirage	1–13	-0.09	18%	28 Mar →
anubis	6–13	-0.06	18%	26 Mar →
mirage	3–13	0.07	10%	26 Mar →
anubis	13–9	0.00	13%	22 Mar →
dust2	8–13	-0.04	8%	19 Mar →
mirage	13–4	0.11	17%	19 Mar →
inferno	8–8	0.02	27%	15 Mar →
mirage	6–4	0.08	27%	15 Mar →
mirage	13–8	0.00	14%	10 Mar →
dust2	12–12	0.02	21%	4 Mar →
mirage	13–7	-0.03	14%	4 Mar →
ancient	13–7	0.05	8%	3 Mar →
dust2	12–12	0.01	12%	3 Mar →
anubis	13–6	-0.01	12%	2 Mar →
dust2	13–8	0.06	13%	1 Mar →
mirage	11–13	0.06	18%	26 Feb →
dust2	13–4	0.06	21%	25 Feb →
dust2	13–10	0.13	14%	25 Feb →
nuke	13–8	0.04	18%	25 Feb →
dust2	9–13	-0.01	15%	23 Feb →
mirage	8–13	0.01	15%	23 Feb →
dust2	13–10	-0.02	18%	22 Feb →
nuke	2–13	-0.11	15%	21 Feb →
nuke	9–13	-0.05	13%	21 Feb →
dust2	6–13	-0.00	28%	21 Feb →
mirage	10–3	0.01	18%	21 Feb →
ancient	7–13	0.02	24%	19 Feb →
dust2	6–13	-0.03	27%	19 Feb →
mirage	8–13	0.10	15%	19 Feb →
inferno	4–13	-0.08	12%	19 Feb →
mirage	5–13	0.02	28%	19 Feb →
dust2	8–13	-0.08	16%	15 Feb →
mirage	4–13	0.05	14%	15 Feb →
dust2	5–13	-0.01	15%	14 Feb →
overpass	13–1	0.00	31%	14 Feb →
dust2	13–5	0.08	24%	13 Feb →
inferno	13–5	-0.03	26%	13 Feb →
anubis	16–12	0.02	12%	13 Feb →
dust2	3–13	0.04	17%	12 Feb →
inferno	13–6	0.02	15%	9 Feb →
dust2	13–10	0.04	19%	31 Jan →
nuke	8–13	0.03	11%	29 Jan →
mirage	13–7	0.03	22%	25 Jan →
inferno	4–13	-0.05	17%	22 Jan →
dust2	13–8	0.16	16%	11 Jan →
mirage	13–1	0.09	30%	6 Jan →
inferno	4–13	0.03	6%	4 Jan →
overpass	13–6	0.04	17%	28 Dec →
mirage	10–13	0.08	23%	28 Dec →
mirage	4–13	-0.00	23%	23 Dec →
nuke	13–7	0.01	11%	18 Dec →
dust2	7–13	-0.04	50%	15 Dec →
mirage	13–4	0.02	15%	4 Dec →
dust2	13–4	-0.01	9%	3 Dec →
mirage	6–13	-0.05	24%	27 Nov →
ancient	19–15	-0.02	14%	26 Nov →
inferno	13–9	-0.05	22%	25 Nov →
dust2	13–4	0.02	12%	20 Nov →
mirage	13–5	-0.04	16%	7 Nov →
ancient	13–11	-0.01	13%	7 Nov →
inferno	13–8	-0.05	17%	7 Nov →
inferno	13–10	0.02	25%	7 Nov →
ancient	13–5	-0.01	18%	7 Nov →
overpass	13–3	0.03	23%	29 Oct →
mirage	13–9	-0.02	21%	28 Oct →
mirage	14–16	0.01	19%	24 Oct →
ancient	13–7	0.00	14%	24 Oct →
ancient	11–13	0.01	12%	23 Oct →
inferno	13–7	-0.07	19%	15 Oct →
mirage	16–14	-0.03	14%	29 Sept →
nuke	8–13	0.01	8%	25 Jul →
mirage	7–13	0.00	13%	14 Jul →
ancient	13–9	0.01	13%	12 Jul →
anubis	16–13	0.05	9%	12 Jul →
nuke	13–10	0.05	13%	5 Jul →
dust2	13–2	0.07	37%	24 Jun →
mirage	13–9	0.04	16%	24 Jun →
dust2	16–14	0.06	15%	11 Jun →
dust2	10–13	-0.02	17%	6 Jun →
mirage	3–13	-0.04	15%	2 Jun →
inferno	13–10	-0.05	15%	30 May →
mirage	13–8	0.01	23%	25 May →
mirage	16–14	0.01	15%	21 May →
mirage	13–11	0.11	13%	18 May →
inferno	10–13	-0.07	13%	18 May →
dust2	13–9	-0.01	12%	18 May →
mirage	13–10	-0.02	12%	16 May →
mirage	13–8	0.04	13%	16 May →
inferno	1–13	-0.04	24%	10 May →
inferno	13–4	0.05	15%	1 May →
edin	6–13	0.01	14%	29 Apr →
nuke	8–13	0.01	17%	27 Apr →
dust2	13–11	-0.00	22%	26 Apr →