666 MÆDÆ — CS2 Stats

GB76561198058242767[U:1:97977039]Steam profile ↗VAC banned

1,777Tracked matches46%Win rate2020Tracked since

CSDB Rating4.1 Developing

Premier CS Rating11,931Blue band · top ~44.7% of ranked players (population est.)

CSDB Leaderboard#36663 of 53486 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim48

Positioning48

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY42–49–9Last 10042%Win rateLLWWLTWWWL

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Aim4.8

Aggression5.5

Utility2.1

Positioning4.8

Opening Duels1.8

Clutch2.6

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 77% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 685ms 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

Aim4.8

Positioning4.8

Utility2.1

Mechanics6.8

Opening Duels1.8

Win Impact3.8

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time687ms+69ms

first ⅓ avg 619ms → last ⅓ avg 687ms

Headshot accuracy14.7%−1.4%

first ⅓ avg 16.1% → last ⅓ avg 14.7%

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

0.21Best rating — inferno 13–6

12–1Biggest win — nuke

4Longest win streak

L2Current streak

3–8In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 63% over 8anubisWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	24	13–11	54%	0.03
dust2	D	12	3–9	25%	-0.03
anubis	D	12	2–10	17%	0.01
inferno	C	12	5–7	42%	0.02
vertigo	D	9	3–6	33%	0.02
mirage	C	9	4–5	44%	0.01
cache	A	8	5–3	63%	0.02
train	B	8	4–4	50%	0.02
ancient	—	2	1–1	50%	-0.04
overpass	—	2	2–0	100%	0.01
shelter	—	1	0–1	0%	0.00
alpine	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

212Matches

53%Win rate

1.31Avg K/D

81.2ADR

41%Headshot %

Clutches & streaks

33%1v1 clutch win

11%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	25	64%	1.37	19.5
Vertigo	24	50%	1.35	20.9
Nuke	17	71%	1.31	17.5
Inferno	15	33%	1.04	16.9
Mirage	14	71%	1.60	18.4
Overpass	5	40%	0.93	16.8
Ancient	4	25%	1.08	17.3
Dust2	4	25%	1.14	18.5

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

35.7%Accuracy (enemy spotted)

37.2%Spray accuracy

80.5%Counter-strafing

13.1°Preaim

685msReaction time

30.6%T opening success

43.9%CT opening success

0.36Enemies flashed / flash

6.3%Flash assists

5.80HE damage / grenade

2.72Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.0568° — above the 12° mark we flag
Aim Training →
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 14.8827% — 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 0.3565 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	0–13	-0.07	8%	18 Jul →
shelter	4–13	0.00	20%	18 Jul →
nuke	13–9	0.15	20%	17 Jun →
anubis	13–10	0.14	19%	17 Jun →
nuke	1–13	-0.07	6%	17 Jun →
anubis	12–12	-0.02	19%	2 May →
cache	13–7	0.02	16%	2 May →
cache	13–8	-0.01	13%	2 May →
cache	13–8	-0.01	13%	2 May →
cache	8–13	-0.03	19%	30 Apr →
cache	13–7	0.06	25%	30 Apr →
cache	13–9	0.06	12%	30 Apr →
cache	11–13	0.06	12%	30 Apr →
cache	10–13	-0.00	7%	29 Apr →
inferno	12–12	0.01	11%	7 Mar →
nuke	8–13	0.11	18%	7 Mar →
vertigo	6–13	0.06	25%	3 Mar →
nuke	6–13	0.11	20%	3 Mar →
dust2	11–13	-0.05	12%	27 Feb →
nuke	13–8	-0.03	16%	26 Feb →
mirage	13–9	-0.00	20%	26 Feb →
nuke	8–13	0.02	12%	26 Feb →
nuke	5–13	-0.07	3%	20 Feb →
anubis	8–13	0.06	12%	20 Feb →
nuke	12–1	0.14	13%	16 Feb →
vertigo	13–10	-0.02	17%	16 Feb →
anubis	11–13	0.04	15%	16 Feb →
dust2	5–13	-0.03	15%	15 Feb →
nuke	13–4	0.09	15%	15 Feb →
anubis	13–9	-0.06	11%	15 Feb →
vertigo	9–13	0.00	18%	15 Feb →
dust2	13–6	-0.06	8%	11 Feb →
mirage	11–13	0.01	16%	11 Feb →
anubis	12–12	-0.02	14%	8 Feb →
inferno	9–13	0.02	26%	8 Feb →
dust2	11–13	-0.02	12%	4 Feb →
ancient	13–10	-0.01	21%	4 Feb →
anubis	10–13	-0.00	18%	31 Jan →
dust2	9–13	0.04	13%	31 Jan →
mirage	5–13	-0.02	12%	31 Jan →
nuke	6–13	-0.00	17%	31 Jan →
inferno	13–10	-0.05	10%	31 Jan →
nuke	13–6	-0.02	15%	29 Jan →
mirage	13–8	0.06	20%	29 Jan →
dust2	3–13	-0.06	21%	25 Jan →
inferno	7–13	-0.07	10%	25 Jan →
nuke	13–7	0.11	19%	25 Jan →
mirage	11–13	-0.04	14%	25 Jan →
inferno	13–6	-0.01	12%	25 Jan →
anubis	12–16	0.00	8%	25 Jan →
overpass	13–11	0.00	16%	24 Jan →
nuke	7–13	-0.04	19%	24 Jan →
dust2	12–12	-0.02	18%	24 Jan →
nuke	11–13	-0.01	16%	24 Jan →
mirage	3–13	-0.02	12%	24 Jan →
anubis	6–13	-0.05	9%	24 Jan →
nuke	13–8	0.06	22%	24 Jan →
inferno	13–6	0.21	13%	24 Jan →
mirage	13–10	0.05	19%	24 Jan →
alpine	1–13	-0.05	22%	24 Jan →
train	2–13	-0.02	3%	24 Jan →
dust2	9–13	-0.07	13%	23 Jan →
nuke	16–13	-0.02	20%	23 Jan →
dust2	13–4	-0.01	5%	23 Jan →
mirage	9–13	0.02	13%	23 Jan →
inferno	4–13	-0.01	19%	23 Jan →
dust2	13–3	0.08	11%	23 Jan →
mirage	13–5	0.05	15%	23 Jan →
nuke	13–10	0.04	10%	23 Jan →
nuke	3–13	-0.08	8%	23 Jan →
nuke	13–10	0.04	30%	11 Dec →
vertigo	13–11	0.01	19%	11 Dec →
anubis	9–13	-0.02	15%	7 Dec →
overpass	13–7	0.02	19%	7 Dec →
inferno	13–4	0.02	18%	7 Dec →
nuke	13–5	0.07	16%	7 Dec →
nuke	13–10	0.00	16%	6 Dec →
train	8–13	0.07	14%	6 Dec →
inferno	12–12	0.07	20%	26 Nov →
nuke	12–12	0.06	24%	26 Nov →
train	8–13	-0.03	17%	26 Nov →
ancient	10–13	-0.07	8%	26 Nov →
inferno	9–13	-0.02	20%	21 Nov →
train	13–5	0.09	8%	21 Nov →
vertigo	6–13	-0.02	15%	15 Nov →
inferno	13–5	0.04	19%	15 Nov →
train	2–13	-0.06	18%	8 Nov →
nuke	12–12	0.02	19%	8 Nov →
vertigo	8–13	0.05	25%	8 Nov →
anubis	12–12	0.10	16%	8 Nov →
dust2	11–13	-0.05	23%	8 Nov →
train	13–6	0.02	18%	7 Nov →
inferno	12–12	-0.02	15%	7 Nov →
vertigo	13–6	0.04	13%	6 Nov →
nuke	13–5	0.04	19%	6 Nov →
train	13–4	0.01	17%	2 Nov →
train	13–11	0.06	11%	28 Oct →
anubis	3–13	-0.01	13%	28 Oct →
vertigo	3–10	0.01	9%	28 Oct →
vertigo	8–13	-0.00	5%	28 Oct →