kkk — CS2 Stats

76561199830073096[U:1:1869807368]Steam profile ↗✓ No bans

397Tracked matches55%Win rate2025Tracked since

CSDB Rating6.8 SolidEntry Fragger

FaceitLevel 10 · 2,389 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83

Positioning71

Utility43

0–100 skill scores via Leetify.

Recent form

HOT56–40–4Last 10056%Win rateWWWWLLWWLW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.3

Aggression10.0

Utility4.3

Positioning7.1

Opening Duels6.2

Clutch3.2

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 s1mple 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 586ms 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

Aim8.3

Positioning7.1

Utility4.3

Mechanics6.2

Opening Duels6.2

Win Impact6.7

Composite 6.8/10 (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 rating0.06+0.00

first ⅓ avg 0.06 → last ⅓ avg 0.06

Reaction time608ms+39ms

first ⅓ avg 569ms → last ⅓ avg 608ms

Headshot accuracy30.8%+1.6%

first ⅓ avg 29.3% → last ⅓ avg 30.8%

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

0.39Best rating — nuke 9–0

13–1Biggest win — dust2

5Longest win streak

W4Current streak

11–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 83% over 6ancientWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	25	15–10	60%	0.05
dust2	A	18	10–8	56%	0.06
ancient	D	12	4–8	33%	0.04
inferno	A	11	6–5	55%	0.04
cache	S	8	6–2	75%	0.03
anubis	B	8	4–4	50%	0.03
nuke	S	6	5–1	83%	0.15
train	—	3	2–1	67%	0.00
overpass	—	3	1–2	33%	0.05
warden	—	2	1–1	50%	0.03
office	—	2	1–1	50%	0.08
vertigo	—	1	1–0	100%	0.02
sanctum	—	1	0–1	0%	0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

466Matches

56%Win rate

1.43Avg K/D

91.8ADR

53%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	158	55%	1.43	19.9
Dust2	107	64%	1.42	19.1
Ancient	84	52%	1.41	19.0
Anubis	50	60%	1.49	19.9
Nuke	26	46%	1.38	17.2
Inferno	13	69%	1.28	19.8
Cache	13	46%	1.29	16.6
Overpass	12	50%	1.75	23.1

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.

28.5%Headshot accuracy

34.2%Accuracy (enemy spotted)

36.5%Spray accuracy

77.9%Counter-strafing

8.3°Preaim

586msReaction time

51.3%T opening success

58.0%CT opening success

0.39Enemies flashed / flash

5.8%Flash assists

6.49HE damage / grenade

7.41Flashes / 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 0.3929 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–8	0.05	34%	16 Aug →
cache	13–11	0.02	24%	14 Aug →
mirage	13–4	0.11	36%	11 Aug →
inferno	13–4	-0.07	0%	8 Aug →
dust2	10–13	0.03	28%	5 Aug →
mirage	12–16	-0.03	24%	5 Aug →
ancient	13–11	0.15	19%	29 Jul →
dust2	13–1	0.18	23%	29 Jul →
ancient	13–16	-0.00	25%	27 Jul →
mirage	13–5	0.03	29%	27 Jul →
dust2	9–13	0.03	26%	26 Jul →
anubis	13–1	0.01	16%	25 Jul →
anubis	5–13	0.05	28%	25 Jul →
anubis	6–0	-0.01	22%	25 Jul →
mirage	8–13	-0.03	11%	21 Jul →
mirage	13–8	0.08	40%	18 Jul →
mirage	13–9	0.13	23%	18 Jul →
mirage	13–3	0.12	29%	18 Jul →
mirage	13–6	0.13	33%	14 Jul →
inferno	7–13	-0.03	45%	10 Jul →
mirage	17–19	0.01	31%	22 Jun →
inferno	3–9	-0.14	36%	21 Jun →
nuke	9–7	0.09	19%	21 Jun →
inferno	9–3	0.32	32%	21 Jun →
nuke	9–0	0.39	46%	21 Jun →
inferno	9–6	0.12	37%	19 Jun →
train	13–1	0.14	31%	19 Jun →
train	12–12	-0.04	30%	19 Jun →
train	3–1	-0.09	100%	19 Jun →
dust2	5–13	0.08	38%	14 Jun →
anubis	13–3	0.14	27%	14 Jun →
inferno	7–9	0.01	42%	7 Jun →
dust2	11–13	0.01	29%	7 Jun →
dust2	13–16	0.05	46%	6 Jun →
mirage	4–13	0.10	15%	6 Jun →
mirage	11–13	0.07	30%	6 Jun →
mirage	4–13	0.04	50%	1 Jun →
overpass	8–13	0.07	39%	1 Jun →
ancient	8–2	0.00	33%	24 May →
mirage	9–13	0.06	42%	24 May →
warden	3–13	0.02	59%	21 May →
mirage	13–9	0.03	42%	21 May →
mirage	13–10	-0.01	45%	20 May →
dust2	8–13	0.02	17%	20 May →
mirage	0–13	-0.09	0%	19 May →
mirage	13–2	0.04	33%	18 May →
mirage	13–2	0.11	38%	18 May →
anubis	10–13	-0.02	28%	15 May →
dust2	5–13	0.07	37%	14 May →
inferno	9–2	0.05	47%	13 May →
inferno	4–9	0.02	28%	13 May →
office	13–8	0.07	51%	13 May →
office	12–12	0.09	26%	13 May →
dust2	25–23	0.01	39%	7 May →
cache	9–13	-0.03	35%	6 May →
vertigo	13–11	0.02	27%	5 May →
dust2	13–10	0.08	28%	4 May →
cache	13–11	0.06	31%	4 May →
dust2	13–4	0.07	28%	4 May →
cache	13–1	0.01	33%	3 May →
nuke	4–13	0.07	45%	3 May →
cache	13–3	0.09	45%	2 May →
cache	13–11	-0.00	42%	29 Apr →
cache	13–3	0.04	15%	29 Apr →
cache	9–13	0.05	24%	27 Apr →
inferno	11–13	-0.02	24%	25 Apr →
mirage	13–7	0.01	14%	25 Apr →
dust2	13–8	0.08	43%	22 Apr →
mirage	7–13	-0.04	52%	21 Apr →
anubis	6–13	0.00	42%	17 Apr →
ancient	13–16	0.02	27%	13 Apr →
inferno	13–4	0.11	22%	9 Apr →
overpass	12–16	0.02	20%	2 Apr →
ancient	5–13	-0.04	34%	1 Apr →
dust2	13–6	0.05	18%	30 Mar →
mirage	13–6	0.25	30%	25 Mar →
ancient	9–13	0.10	13%	25 Mar →
nuke	16–13	0.13	37%	25 Mar →
ancient	13–1	0.05	35%	22 Mar →
mirage	5–13	-0.01	48%	20 Mar →
nuke	13–8	0.17	38%	20 Mar →
ancient	13–8	0.14	27%	19 Mar →
ancient	13–7	0.05	30%	18 Mar →
dust2	13–11	0.04	32%	12 Mar →
dust2	13–7	0.03	31%	12 Mar →
anubis	12–12	0.08	19%	4 Mar →
mirage	13–9	0.09	29%	4 Mar →
overpass	13–6	0.07	24%	11 Feb →
dust2	13–9	-0.02	19%	11 Feb →
ancient	10–13	0.01	32%	11 Feb →
nuke	13–8	0.03	20%	8 Feb →
ancient	11–13	-0.02	24%	6 Feb →
dust2	8–13	0.12	23%	5 Feb →
ancient	7–13	-0.01	15%	1 Feb →
inferno	13–11	0.09	22%	28 Jan →
anubis	13–3	0.02	19%	25 Jan →
mirage	13–8	0.03	32%	25 Jan →
dust2	13–9	0.06	40%	25 Jan →
sanctum	8–8	0.11	41%	22 Jan →
warden	13–11	0.04	29%	21 Jan →