Kkake — CS2 Stats

76561198069030353[U:1:108764625]Steam profile ↗✓ No bans

5,232Tracked matches47%Win rate2022Tracked since

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating16,615Purple band · top ~22% of ranked players (population est.)

CSDB Leaderboard#31663 of 58685 tracked

FaceitLevel 3 · 1,023 ELOTop 90.6% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning46

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWLWWLWWLL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.0

Aggression5.8

Utility5.2

Positioning4.6

Opening Duels3.0

Clutch2.4

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 88% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 607ms 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

Aim7.0

Positioning4.6

Utility5.2

Mechanics7.5

Opening Duels3.0

Win Impact3.9

Composite 5.6/10 (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 rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time603ms+13ms

first ⅓ avg 590ms → last ⅓ avg 603ms

Headshot accuracy19.8%+1.8%

first ⅓ avg 18.0% → last ⅓ avg 19.8%

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

0.17Best rating — train 5–13

13–0Biggest win — dust2

6Longest win streak

4–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 74% over 19cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	14–15	48%	-0.02
ancient	S	19	14–5	74%	0.00
inferno	D	14	4–10	29%	-0.02
anubis	S	11	8–3	73%	0.00
mirage	A	11	7–4	64%	-0.00
cache	D	8	2–6	25%	0.01
nuke	A	7	4–3	57%	0.03
train	—	1	0–1	0%	0.17

Across the last 100 tracked matches.

Faceit stats

Combat

1,162Matches

50%Win rate

1.02Avg K/D

75.3ADR

40%Headshot %

Clutches & streaks

32%1v1 clutch win

17%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	201	53%	1.05	16.0
Dust2	139	58%	0.96	14.7
Anubis	128	52%	1.04	15.4
Inferno	87	41%	1.05	14.3
Nuke	82	40%	0.93	14.2
Mirage	54	44%	0.83	12.7
Overpass	48	67%	1.13	15.9
Train	27	52%	0.99	14.6

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.

20.2%Headshot accuracy

32.5%Accuracy (enemy spotted)

31.5%Spray accuracy

83.6%Counter-strafing

8.5°Preaim

607msReaction time

35.3%T opening success

49.1%CT opening success

0.48Enemies flashed / flash

7.9%Flash assists

8.08HE 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.

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 0.4788 — below the 0.5 mark we flag
Grenade Lineups →
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 35.2721% — 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.

25% 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
cache	14–16	-0.02	17%	23 Aug →
dust2	13–5	-0.00	21%	22 Aug →
dust2	5–13	-0.06	12%	22 Aug →
dust2	13–7	-0.04	40%	22 Aug →
ancient	13–9	-0.07	19%	22 Aug →
inferno	11–13	-0.03	20%	20 Aug →
ancient	13–3	0.02	19%	17 Aug →
dust2	13–10	-0.08	18%	15 Aug →
inferno	11–13	-0.02	23%	12 Aug →
inferno	10–13	0.01	24%	5 Aug →
inferno	9–13	-0.02	25%	2 Aug →
cache	7–13	-0.05	20%	2 Aug →
dust2	10–13	-0.07	13%	1 Aug →
dust2	6–13	0.01	25%	30 Jul →
inferno	9–13	-0.01	23%	30 Jul →
ancient	13–7	0.02	17%	30 Jul →
anubis	14–16	0.01	14%	29 Jul →
ancient	13–11	0.02	16%	29 Jul →
dust2	10–13	-0.02	30%	29 Jul →
anubis	13–10	0.03	18%	29 Jul →
dust2	9–13	0.00	22%	28 Jul →
ancient	13–4	0.01	26%	28 Jul →
anubis	13–6	0.01	19%	28 Jul →
ancient	2–13	-0.05	22%	28 Jul →
cache	4–13	0.05	19%	25 Jul →
nuke	13–9	-0.01	9%	25 Jul →
dust2	5–13	-0.07	20%	25 Jul →
ancient	13–11	0.02	15%	24 Jul →
dust2	13–10	0.01	23%	24 Jul →
nuke	13–1	0.09	21%	24 Jul →
inferno	7–13	-0.08	19%	24 Jul →
mirage	13–8	-0.01	11%	24 Jul →
inferno	13–8	-0.01	13%	24 Jul →
anubis	13–7	-0.01	13%	24 Jul →
inferno	2–13	-0.05	25%	24 Jul →
anubis	13–6	-0.01	10%	24 Jul →
ancient	13–5	-0.03	16%	24 Jul →
inferno	13–10	-0.03	13%	23 Jul →
ancient	13–8	0.05	14%	23 Jul →
mirage	16–12	-0.01	17%	23 Jul →
dust2	9–13	-0.05	19%	23 Jul →
nuke	15–15	-0.04	23%	22 Jul →
dust2	13–3	0.03	22%	22 Jul →
dust2	6–13	-0.02	20%	22 Jul →
dust2	6–13	-0.07	17%	22 Jul →
ancient	16–13	-0.01	19%	22 Jul →
dust2	13–9	-0.01	22%	22 Jul →
mirage	3–13	0.01	12%	22 Jul →
anubis	13–7	-0.00	16%	21 Jul →
ancient	13–10	0.02	19%	21 Jul →
mirage	13–2	-0.08	12%	20 Jul →
dust2	13–5	0.01	13%	20 Jul →
anubis	13–10	-0.01	16%	20 Jul →
ancient	13–9	-0.02	8%	20 Jul →
dust2	11–13	-0.00	9%	20 Jul →
ancient	13–5	0.05	11%	20 Jul →
ancient	6–13	-0.08	8%	18 Jul →
inferno	4–13	-0.09	11%	18 Jul →
ancient	5–13	-0.09	8%	16 Jul →
dust2	13–7	-0.02	20%	16 Jul →
dust2	8–13	-0.04	19%	16 Jul →
anubis	10–13	-0.01	21%	16 Jul →
inferno	10–13	-0.09	21%	16 Jul →
cache	13–6	0.08	21%	16 Jul →
ancient	13–7	0.02	17%	16 Jul →
dust2	13–8	0.01	20%	16 Jul →
mirage	11–13	-0.01	11%	16 Jul →
dust2	14–16	-0.01	15%	16 Jul →
inferno	13–8	0.01	10%	15 Jul →
mirage	15–15	0.01	18%	15 Jul →
dust2	13–11	-0.02	16%	15 Jul →
anubis	13–9	-0.06	14%	14 Jul →
nuke	9–13	0.04	19%	14 Jul →
train	5–13	0.17	16%	14 Jul →
cache	3–13	0.03	22%	14 Jul →
dust2	14–16	0.06	14%	14 Jul →
nuke	6–13	0.04	21%	14 Jul →
dust2	5–13	0.04	30%	14 Jul →
anubis	5–13	-0.03	21%	14 Jul →
cache	7–13	0.02	17%	14 Jul →
nuke	13–7	-0.00	13%	14 Jul →
cache	13–1	-0.03	17%	14 Jul →
mirage	6–13	-0.03	25%	14 Jul →
dust2	13–0	-0.03	5%	14 Jul →
dust2	16–13	-0.06	12%	14 Jul →
ancient	11–13	-0.02	23%	14 Jul →
dust2	13–11	-0.06	25%	14 Jul →
cache	7–13	0.03	31%	14 Jul →
inferno	13–6	0.08	18%	14 Jul →
anubis	13–8	0.11	28%	14 Jul →
mirage	13–6	0.03	17%	13 Jul →
mirage	13–8	-0.01	10%	13 Jul →
mirage	13–5	0.12	18%	13 Jul →
ancient	11–13	0.12	16%	13 Jul →
nuke	13–9	0.11	18%	13 Jul →
ancient	13–6	0.03	16%	13 Jul →
inferno	7–13	-0.01	17%	13 Jul →
dust2	13–4	0.03	18%	13 Jul →
mirage	13–5	-0.03	18%	13 Jul →
dust2	10–13	-0.04	17%	13 Jul →