Lust — CS2 Stats

76561198144436595[U:1:184170867]✓ No bans

1,222Tracked matches42%Win rate2020Tracked since

CSDB Rating5.8 SolidHybrid Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning46

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateWLLWWWTLWL

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

Player DNA

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

Aim8.2

Aggression5.7

Utility5.6

Positioning4.6

Opening Duels2.2

Effective flashes

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 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Reaction time. 563ms 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

Aim8.2

Positioning4.6

Utility5.6

Mechanics7.3

Opening Duels2.2

Win Impact2.4

Composite 5.8/10 (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 rating0.02+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time539ms−24ms

first ⅓ avg 563ms → last ⅓ avg 539ms

Headshot accuracy20.3%+3.0%

first ⅓ avg 17.3% → last ⅓ avg 20.3%

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 — nuke 9–5

13–2Biggest win — mirage

5Longest win streak

9–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

vertigoBest map · 63% over 8anubisWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	18	9–9	50%	0.01
mirage	D	17	5–12	29%	-0.01
dust2	A	16	9–7	56%	-0.02
anubis	D	15	4–11	27%	-0.03
cache	A	11	6–5	55%	0.04
vertigo	A	8	5–3	63%	0.01
nuke	B	8	4–4	50%	0.00
ancient	—	4	1–3	25%	0.01
fachwerk	—	1	0–1	0%	0.04
overpass	—	1	0–1	0%	-0.01
train	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

208Matches

53%Win rate

1.05Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLL

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.

21.6%Headshot accuracy

37.8%Accuracy (enemy spotted)

37.8%Spray accuracy

82.8%Counter-strafing

9.6°Preaim

563msReaction time

32.7%T opening success

44.9%CT opening success

0.70Enemies flashed / flash

3.6%Flash assists

9.77HE damage / grenade

10.33Flashes / 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 32.6921% — below the 40% mark we flag

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.

27% win rate across 15 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	13–3	-0.05	17%	24 Aug →
anubis	8–13	-0.07	17%	17 Aug →
mirage	6–13	-0.03	26%	17 Aug →
dust2	13–10	-0.02	23%	17 Aug →
vertigo	9–5	0.13	32%	16 Aug →
nuke	9–6	0.08	13%	16 Aug →
mirage	12–12	0.01	20%	16 Aug →
anubis	5–13	-0.06	35%	10 Aug →
vertigo	13–11	0.04	31%	10 Aug →
mirage	5–13	0.04	31%	27 Jul →
anubis	10–13	0.02	14%	25 Jul →
mirage	8–13	-0.01	26%	25 Jul →
dust2	13–7	-0.05	18%	24 Jul →
ancient	12–12	-0.01	21%	24 Jul →
anubis	13–4	0.07	21%	24 Jul →
anubis	13–10	-0.01	23%	23 Jul →
anubis	2–10	-0.02	8%	23 Jul →
anubis	7–13	-0.04	22%	23 Jul →
vertigo	9–4	0.10	5%	23 Jul →
inferno	7–9	-0.08	21%	23 Jul →
dust2	9–13	0.06	22%	21 Jul →
mirage	16–14	0.01	13%	21 Jul →
dust2	6–13	0.04	21%	20 Jul →
mirage	12–12	-0.00	12%	20 Jul →
dust2	6–13	0.00	22%	19 Jul →
mirage	13–10	0.05	18%	19 Jul →
dust2	13–4	0.09	33%	19 Jul →
ancient	13–7	0.14	22%	19 Jul →
cache	5–13	0.11	25%	19 Jul →
inferno	9–6	0.04	14%	12 Jul →
nuke	9–5	-0.04	15%	11 Jul →
inferno	9–3	0.04	14%	11 Jul →
inferno	9–5	0.09	16%	11 Jul →
inferno	9–1	0.15	15%	11 Jul →
inferno	6–9	-0.04	11%	11 Jul →
anubis	13–11	-0.06	19%	10 Jul →
nuke	11–13	-0.01	26%	10 Jul →
dust2	1–13	-0.10	0%	10 Jul →
fachwerk	12–12	0.04	25%	10 Jul →
mirage	10–13	-0.00	34%	10 Jul →
anubis	3–13	-0.03	30%	3 Jul →
mirage	13–2	0.04	39%	3 Jul →
inferno	13–5	0.02	32%	3 Jul →
nuke	11–13	-0.00	35%	29 Jun →
cache	13–11	0.05	28%	29 Jun →
inferno	13–11	-0.01	29%	29 Jun →
vertigo	6–13	-0.08	37%	26 Jun →
overpass	9–13	-0.01	19%	26 Jun →
anubis	6–13	-0.02	27%	26 Jun →
cache	13–5	0.02	17%	26 Jun →
mirage	0–5	-0.04	20%	21 Jun →
dust2	3–13	-0.12	0%	21 Jun →
inferno	3–13	-0.12	0%	21 Jun →
anubis	9–13	-0.12	0%	21 Jun →
mirage	10–13	-0.05	17%	12 Jun →
dust2	13–11	-0.06	24%	12 Jun →
cache	12–12	-0.01	32%	8 Jun →
vertigo	12–12	0.01	24%	8 Jun →
nuke	13–8	0.04	13%	29 May →
ancient	7–13	-0.02	24%	29 May →
mirage	3–13	-0.02	54%	29 May →
dust2	13–5	-0.01	24%	29 May →
cache	13–10	0.02	21%	29 May →
anubis	6–13	-0.04	17%	29 May →
cache	4–13	0.05	27%	22 May →
inferno	5–13	-0.04	41%	22 May →
mirage	6–13	-0.09	13%	22 May →
dust2	13–9	-0.00	26%	11 May →
inferno	13–11	0.05	26%	1 May →
cache	13–6	0.06	17%	1 May →
mirage	13–11	-0.03	13%	1 May →
vertigo	13–3	-0.03	10%	1 May →
nuke	1–9	-0.23	17%	1 May →
nuke	3–9	-0.01	21%	1 May →
nuke	9–5	0.20	19%	1 May →
vertigo	4–9	-0.07	17%	1 May →
cache	12–12	0.02	17%	29 Apr →
cache	13–3	0.05	27%	29 Apr →
cache	11–13	0.06	24%	29 Apr →
cache	13–10	0.02	8%	29 Apr →
anubis	8–13	-0.05	28%	27 Apr →
dust2	7–13	-0.01	17%	27 Apr →
vertigo	13–11	-0.01	13%	27 Apr →
train	8–13	0.04	9%	27 Apr →
inferno	8–8	0.01	10%	13 Apr →
dust2	13–5	0.06	19%	30 Mar →
inferno	13–8	0.07	15%	30 Mar →
dust2	4–13	-0.05	29%	23 Mar →
inferno	13–2	0.07	22%	23 Mar →
anubis	13–9	-0.06	10%	15 Mar →
mirage	13–7	-0.04	13%	15 Mar →
anubis	6–13	-0.05	17%	6 Mar →
inferno	8–13	-0.03	8%	2 Mar →
mirage	9–13	0.01	33%	2 Mar →
inferno	3–13	-0.03	23%	23 Feb →
inferno	0–3	-0.06	0%	23 Feb →
mirage	6–13	-0.03	6%	23 Feb →
inferno	7–13	-0.02	11%	20 Feb →
ancient	12–12	-0.08	18%	20 Feb →
dust2	13–10	-0.04	30%	20 Feb →