KåJi — CS2 Stats

SE76561198928726153[U:1:968460425]Steam profile ↗✓ No bans

1,496Tracked matches50%Win rate2020Tracked since

2,851Hours in CS5Hrs last 2 wks

CSDB Rating4.7 Developing

WingmanGold Nova III

Ladder ranks via Leetify

Performance scores

Aim50

Positioning38

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLWLLWLLWWW

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Aim5.0

Aggression4.6

Utility6.4

Positioning3.8

Opening Duels1.7

Clutch3.4

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: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.0

Positioning3.8

Utility6.4

Mechanics5.0

Opening Duels1.9

Win Impact5.0

Composite 4.7/10 (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+0.03

first ⅓ avg -0.04 → last ⅓ avg -0.01

Reaction time681ms−28ms

first ⅓ avg 708ms → last ⅓ avg 681ms

Headshot accuracy15.8%+1.9%

first ⅓ avg 13.9% → last ⅓ avg 15.8%

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

0.20Best rating — mirage 13–1

13–0Biggest win — inferno

4Longest win streak

9–9In matches decided by ≤2 rounds

16Overtime games

Map breakdown

ancientBest map · 56% over 18cacheWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	12–14	46%	-0.02
vertigo	C	21	9–12	43%	-0.04
ancient	A	18	10–8	56%	-0.05
cache	C	8	3–5	38%	-0.01
dust2	C	7	3–4	43%	-0.02
anubis	C	7	3–4	43%	-0.06
nuke	C	5	2–3	40%	-0.03
train	—	4	1–3	25%	-0.04
inferno	—	4	3–1	75%	0.01

Across the last 100 tracked matches.

Lifetime stats

67,960Lifetime kills

0.74K/D

4,288Matches

44.1%Match win rate

39.4%Headshot %

11.9%Shot accuracy

9,899MVPs

1,644Hours (in match)

2,856Bombs planted

2,525Bombs defused

Most-used weapons

AK-4715,507

M4A4 / M4A1-S11,512

AWP10,436

Desert Eagle4,211

P2000 / USP-S3,065

Galil AR2,548

Glock-182,529

Knife2,165

FAMAS1,756

MP91,622

Lifetime map wins

8,075vertigo

5,234inferno

3,898nuke

3,251dust2

1,488train

481cbble

458lake

426office

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

Faceit stats

Combat

662Matches

49%Win rate

0.80Avg K/D

66.6ADR

41%Headshot %

Clutches & streaks

37%1v1 clutch win

14%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	119	59%	0.82	11.9
Vertigo	100	41%	0.69	11.1
Ancient	74	50%	0.72	11.1
Anubis	58	43%	0.73	10.9
Inferno	40	55%	0.69	9.9
Nuke	38	39%	0.61	9.9
Overpass	23	43%	0.80	12.0
Dust2	13	38%	0.79	13.3

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.

14.9%Headshot accuracy

36.0%Accuracy (enemy spotted)

38.8%Spray accuracy

72.4%Counter-strafing

11.6°Preaim

667msReaction time

28.0%T opening success

45.3%CT opening success

0.65Enemies flashed / flash

10.8%Flash assists

14.85HE damage / grenade

7.76Flashes / 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 14.9086% — 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 28.0083% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
train	16–19	-0.05	15%	25 Aug →
ancient	13–6	0.01	16%	25 Aug →
vertigo	13–16	-0.00	16%	25 Aug →
dust2	12–16	-0.03	9%	24 Aug →
vertigo	13–11	0.00	8%	24 Aug →
vertigo	6–13	-0.03	11%	24 Aug →
ancient	11–13	-0.06	9%	24 Aug →
ancient	13–7	-0.04	16%	14 Aug →
nuke	13–9	-0.02	7%	14 Aug →
anubis	13–9	-0.03	13%	14 Aug →
ancient	1–8	-0.07	9%	12 Aug →
inferno	13–10	-0.00	23%	12 Aug →
dust2	10–13	0.06	18%	12 Aug →
mirage	10–13	-0.00	33%	11 Aug →
mirage	13–5	-0.01	8%	11 Aug →
inferno	13–0	0.13	18%	11 Aug →
cache	7–13	-0.04	28%	11 Aug →
mirage	13–1	0.20	22%	11 Aug →
inferno	8–13	-0.03	21%	8 Aug →
mirage	13–7	0.01	17%	8 Aug →
mirage	13–11	-0.06	28%	8 Aug →
train	5–13	-0.01	23%	7 Aug →
vertigo	13–5	-0.04	10%	7 Aug →
nuke	10–13	0.02	16%	7 Aug →
vertigo	22–20	-0.02	10%	7 Aug →
vertigo	17–19	-0.01	11%	7 Aug →
vertigo	8–13	-0.06	23%	7 Aug →
ancient	13–4	-0.09	3%	7 Aug →
ancient	19–17	0.03	13%	7 Aug →
dust2	13–16	-0.06	3%	6 Aug →
dust2	13–10	-0.01	12%	6 Aug →
dust2	13–5	-0.03	31%	6 Aug →
vertigo	13–4	-0.01	22%	6 Aug →
anubis	8–13	-0.06	14%	6 Aug →
anubis	22–20	-0.01	13%	6 Aug →
mirage	5–13	-0.02	19%	4 Aug →
inferno	13–9	-0.06	4%	2 Aug →
ancient	10–13	-0.04	8%	2 Aug →
mirage	10–13	-0.07	19%	2 Aug →
mirage	10–13	-0.04	13%	2 Aug →
train	7–13	-0.08	15%	31 Jul →
mirage	14–16	-0.02	18%	31 Jul →
ancient	13–11	-0.07	11%	31 Jul →
cache	8–13	-0.05	5%	31 Jul →
cache	13–9	0.06	41%	31 Jul →
ancient	13–10	-0.05	13%	29 Jul →
vertigo	6–13	-0.07	11%	29 Jul →
vertigo	8–13	-0.03	15%	29 Jul →
mirage	5–13	-0.02	10%	29 Jul →
ancient	9–13	-0.06	20%	29 Jul →
mirage	6–13	-0.02	16%	27 Jul →
mirage	13–10	-0.02	11%	27 Jul →
mirage	19–17	0.01	16%	27 Jul →
vertigo	1–13	-0.10	28%	27 Jul →
mirage	13–7	-0.04	14%	26 Jul →
mirage	14–16	-0.03	9%	26 Jul →
ancient	13–7	-0.09	10%	26 Jul →
vertigo	2–13	-0.03	14%	26 Jul →
mirage	16–13	-0.02	19%	26 Jul →
cache	17–19	0.01	17%	26 Jul →
vertigo	9–13	-0.08	9%	26 Jul →
anubis	11–13	-0.00	12%	22 Jul →
mirage	9–13	-0.03	17%	22 Jul →
cache	13–8	0.00	0%	22 Jul →
dust2	3–13	-0.10	14%	22 Jul →
vertigo	13–8	0.02	16%	19 Jul →
mirage	5–13	-0.04	26%	19 Jul →
mirage	13–7	0.00	14%	19 Jul →
vertigo	13–9	-0.07	12%	19 Jul →
ancient	7–13	-0.07	13%	19 Jul →
vertigo	13–6	-0.02	9%	19 Jul →
anubis	5–13	-0.04	5%	10 Jul →
cache	7–13	-0.05	15%	10 Jul →
ancient	13–6	-0.01	24%	10 Jul →
mirage	13–0	0.00	10%	10 Jul →
ancient	5–13	-0.07	10%	10 Jul →
mirage	13–11	-0.00	6%	10 Jul →
vertigo	6–13	-0.09	7%	9 Jul →
vertigo	9–13	-0.07	17%	9 Jul →
nuke	6–13	-0.04	17%	9 Jul →
mirage	17–19	-0.04	14%	9 Jul →
train	13–5	-0.04	20%	9 Jul →
ancient	9–13	-0.08	6%	5 Jul →
cache	13–4	0.05	10%	5 Jul →
anubis	10–13	-0.22	0%	1 Jul →
ancient	10–13	-0.03	26%	1 Jul →
mirage	11–13	-0.08	15%	1 Jul →
anubis	16–12	-0.05	16%	29 Jun →
vertigo	16–13	-0.04	23%	29 Jun →
ancient	13–11	-0.06	6%	29 Jun →
ancient	13–9	-0.07	24%	29 Jun →
cache	6–13	-0.09	13%	29 Jun →
nuke	5–13	-0.09	6%	29 Jun →
vertigo	13–10	-0.02	18%	29 Jun →
mirage	11–13	-0.05	14%	28 Jun →
mirage	9–13	-0.04	23%	23 Jun →
dust2	13–3	0.04	17%	23 Jun →
mirage	13–9	-0.02	19%	21 Jun →
nuke	13–10	-0.03	12%	21 Jun →
vertigo	10–13	0.02	20%	21 Jun →