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fucklxrd.com — CS2 Stats

AQ76561198055501133[U:1:95235405]Steam profile ↗✓ No bans

907Tracked matches38%Win rate2020Tracked since

2,276Hours in CS1Hrs last 2 wks

CSDB Rating4.4 DevelopingHybrid Rifler

FaceitLevel 6 · 1,340 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning51

Utility39

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateLLLLLLWTLT

Last 10 vs previous 10: -60pp win rate · +0.01 avg rating

Player DNA

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

Aim7.0

Aggression5.0

Utility3.9

Positioning5.1

Opening Duels0.5

Clutch6.0

Limited utility dependence

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

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

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

Reaction time. 620ms 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

Positioning5.1

Utility3.9

Mechanics6.5

Opening Duels0.5

Win Impact1.2

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time616ms−5ms

first ⅓ avg 621ms → last ⅓ avg 616ms

Headshot accuracy17.8%+1.6%

first ⅓ avg 16.2% → last ⅓ avg 17.8%

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

0.12Best rating — train 11–13

13–1Biggest win — cache

6Longest win streak

L6Current streak

6–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 58% over 26ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	15–11	58%	0.00
dust2	D	15	4–11	27%	0.01
nuke	B	15	8–7	53%	-0.00
cache	B	12	6–6	50%	0.02
anubis	B	8	4–4	50%	0.04
inferno	C	7	3–4	43%	0.02
ancient	D	5	1–4	20%	0.01
train	—	3	1–2	33%	0.02
overpass	—	3	2–1	67%	0.03
vertigo	—	2	2–0	100%	-0.03
office	—	2	2–0	100%	0.11
shelter	—	1	0–1	0%	0.10
agency	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,809Lifetime kills

1.63K/D · Top 5% of tracked players

3,864Matches

48.4%Match win rate · Top 50% of tracked players

52.2%Headshot % · Top 25% of tracked players

19.0%Shot accuracy · Top 10% of tracked players

9,816MVPs

1,167Hours (in match)

2,065Bombs planted

634Bombs defused

Most-used weapons

AK-4720,711

M4A4 / M4A1-S12,421

AWP8,945

P2000 / USP-S5,919

Desert Eagle3,260

P902,280

Knife1,888

Lifetime map wins

5,992nuke

3,232inferno

3,122dust2

1,022vertigo

939train

735office

337lake

267cbble

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

Faceit stats

Combat

98Matches

57%Win rate

1.27Avg K/D

75.0ADR

36%Headshot %

Clutches & streaks

50%1v1 clutch win

7%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	55%	0.98	15.1
Vertigo	9	56%	1.13	17.6
Inferno	7	100%	1.28	16.3
Anubis	7	57%	1.02	13.4
Dust2	4	25%	1.02	14.0
Ancient	3	33%	0.91	15.0
Train	3	33%	0.90	18.0
Overpass	2	0%	1.03	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.

19.1%Headshot accuracy

35.5%Accuracy (enemy spotted)

37.3%Spray accuracy

79.4%Counter-strafing

9.6°Preaim

620msReaction time

34.0%T opening success

30.2%CT opening success

0.55Enemies flashed / flash

6.1%Flash assists

10.10HE damage / grenade

4.86Flashes / 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
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 33.9995% — below the 40% mark we flag

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.

20% win rate across 5 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	10–13	-0.06	18%	15 Aug →
	inferno	6–13	-0.05	12%	14 Aug →
	shelter	8–13	0.10	16%	6 Aug →
	dust2	6–13	0.07	8%	6 Aug →
	train	11–13	0.12	22%	6 Aug →
	cache	8–13	-0.02	16%	5 Aug →
	ancient	13–10	-0.01	14%	5 Aug →
	nuke	12–12	0.02	29%	4 Aug →
	dust2	11–13	0.00	18%	2 Aug →
	nuke	12–12	-0.05	19%	2 Aug →
	mirage	6–3	0.03	10%	2 Aug →
	dust2	7–13	-0.05	24%	2 Aug →
	nuke	13–6	-0.03	25%	2 Aug →
	mirage	16–13	-0.02	9%	1 Aug →
	inferno	10–13	0.03	15%	26 Jul →
	vertigo	13–3	-0.09	17%	22 Jul →
	inferno	9–13	0.01	15%	6 Jul →
	nuke	13–3	0.06	16%	6 Jul →
	cache	13–1	0.07	13%	5 Jul →
	mirage	16–13	-0.02	31%	5 Jul →
	inferno	7–13	-0.00	16%	4 Jul →
	overpass	10–13	0.02	25%	4 Jul →
	anubis	10–13	0.03	23%	26 Jun →
	cache	12–12	0.10	26%	26 Jun →
	mirage	1–6	-0.17	0%	26 Jun →
	dust2	7–13	-0.01	16%	26 Jun →
	mirage	13–6	0.01	29%	7 Jun →
	inferno	13–7	0.06	29%	7 Jun →
	mirage	12–12	-0.04	14%	6 Jun →
	cache	2–13	0.02	21%	6 Jun →
	mirage	3–13	0.04	30%	6 Jun →
	cache	13–9	0.02	11%	2 May →
	cache	13–7	-0.03	0%	2 May →
	cache	13–9	0.02	16%	2 May →
	ancient	3–13	0.03	17%	2 May →
	cache	9–13	0.10	18%	2 May →
	cache	4–13	-0.04	16%	30 Apr →
	cache	13–8	0.02	22%	30 Apr →
	cache	7–13	-0.03	16%	29 Apr →
	cache	13–11	0.04	19%	29 Apr →
	mirage	10–13	0.02	15%	23 Apr →
	mirage	13–5	-0.00	10%	15 Apr →
	nuke	9–13	-0.03	25%	14 Apr →
	dust2	4–13	-0.00	32%	13 Apr →
	anubis	16–14	0.04	14%	12 Apr →
	mirage	10–13	-0.01	15%	12 Apr →
	dust2	9–13	0.04	20%	11 Apr →
	ancient	6–13	-0.05	13%	11 Apr →
	mirage	9–13	0.04	11%	11 Apr →
	mirage	13–1	0.07	10%	11 Apr →
	overpass	16–13	0.02	20%	11 Apr →
	ancient	4–13	0.02	18%	11 Apr →
	anubis	13–11	0.10	21%	11 Apr →
	anubis	13–11	-0.08	14%	2 Apr →
	anubis	12–12	0.05	14%	2 Apr →
	anubis	1–13	0.00	20%	21 Mar →
	mirage	7–13	0.08	15%	21 Mar →
	nuke	13–10	-0.05	13%	16 Mar →
	mirage	13–6	-0.08	6%	15 Mar →
	nuke	10–13	0.02	17%	15 Mar →
	nuke	9–1	0.06	16%	15 Mar →
	nuke	9–5	0.02	8%	15 Mar →
	nuke	13–6	0.01	18%	14 Mar →
	overpass	13–5	0.05	21%	14 Mar →
	mirage	13–3	0.02	11%	14 Mar →
	anubis	13–3	0.06	8%	14 Mar →
	dust2	0–13	-0.02	22%	14 Mar →
	anubis	3–13	0.07	12%	1 Mar →
	ancient	1–13	0.09	13%	1 Mar →
	nuke	4–13	-0.07	8%	28 Feb →
	mirage	3–13	-0.05	15%	28 Feb →
	office	13–5	0.12	30%	3 Dec →
	dust2	13–8	0.02	13%	3 Dec →
	dust2	13–9	-0.04	19%	3 Dec →
	mirage	12–12	0.08	19%	3 Dec →
	nuke	6–9	-0.09	13%	3 Dec →
	vertigo	13–6	0.02	16%	2 Dec →
	dust2	10–13	0.00	14%	2 Dec →
	mirage	13–10	-0.03	7%	2 Dec →
	inferno	13–8	0.02	15%	2 Dec →
	mirage	13–10	-0.02	8%	2 Dec →
	mirage	13–4	0.04	19%	1 Dec →
	mirage	13–4	0.05	12%	1 Dec →
	nuke	9–13	-0.04	15%	25 Nov →
	mirage	13–11	0.01	16%	25 Nov →
	mirage	7–13	-0.05	6%	25 Nov →
	dust2	13–9	0.05	14%	25 Nov →
	train	3–13	-0.08	44%	24 Nov →
	agency	13–5	0.08	31%	24 Nov →
	office	13–4	0.11	25%	24 Nov →
	mirage	13–9	0.06	13%	24 Nov →
	mirage	13–5	-0.00	19%	24 Nov →
	inferno	13–4	0.05	16%	23 Nov →
	dust2	8–13	-0.03	14%	23 Nov →
	dust2	11–13	0.01	23%	23 Nov →
	dust2	11–13	0.05	11%	23 Nov →
	dust2	13–11	0.02	14%	22 Nov →
	nuke	13–7	-0.01	15%	22 Nov →
	train	13–5	0.03	14%	22 Nov →
	nuke	13–4	0.12	11%	22 Nov →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

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