LadyK — CS2 Stats

76561198431044277[U:1:470778549]Steam profile ↗✓ No bans

2,373Tracked matches40%Win rate2020Tracked since

CSDB Rating4.7 DevelopingHybrid Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

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

Aim60

Positioning45

Utility43

0–100 skill scores via Leetify.

Recent form

COLD44–53–3Last 10044%Win rateLLWLWLLLLW

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.

Aim6.0

Aggression7.3

Utility4.3

Positioning4.5

Opening Duels2.1

Clutch0.4

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

Plays most like ropz 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 598ms 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

Aim6.0

Positioning4.5

Utility4.3

Mechanics6.6

Opening Duels2.1

Win Impact1.7

Composite 4.7/10 (Developing), 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-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time589ms−22ms

first ⅓ avg 610ms → last ⅓ avg 589ms

Headshot accuracy13.5%+0.4%

first ⅓ avg 13.1% → last ⅓ avg 13.5%

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

0.11Best rating — overpass 13–4

13–1Biggest win — mirage

5Longest win streak

L2Current streak

10–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 53% over 17dust2Weakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	25	11–14	44%	-0.01
mirage	B	17	9–8	53%	0.01
anubis	C	15	6–9	40%	-0.01
dust2	D	15	5–10	33%	-0.01
nuke	B	12	6–6	50%	0.01
ancient	B	11	5–6	45%	-0.04
overpass	C	5	2–3	40%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches

12%Win rate

0.61Avg K/D

62.2ADR

41%Headshot %

Clutches & streaks

22%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	6	33%	0.68	11.2
Mirage	4	0%	0.57	9.0
Inferno	3	0%	0.48	9.3
Ancient	2	0%	0.63	11.5
Dust2	1	0%	0.42	8.0
Overpass	1	0%	0.81	13.0

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.

13.8%Headshot accuracy

34.1%Accuracy (enemy spotted)

33.6%Spray accuracy

79.9%Counter-strafing

9.7°Preaim

598msReaction time

32.2%T opening success

44.3%CT opening success

0.68Enemies flashed / flash

1.1%Flash assists

12.37HE damage / grenade

3.70Flashes / 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.

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 13.7768% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7029 — below the 4 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 32.2136% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	0.01	13%	26 Jul →
nuke	9–13	0.06	17%	7 Jun →
overpass	13–4	0.11	10%	7 Jun →
inferno	4–13	-0.04	18%	16 May →
nuke	13–11	0.04	10%	8 May →
anubis	7–13	0.02	7%	8 May →
dust2	8–13	-0.07	4%	4 May →
anubis	8–13	0.02	16%	27 Apr →
dust2	6–13	-0.04	11%	26 Apr →
inferno	13–7	-0.00	9%	26 Apr →
anubis	13–7	0.01	19%	22 Apr →
nuke	4–13	-0.09	21%	18 Apr →
inferno	13–11	0.07	11%	18 Apr →
dust2	13–9	-0.04	13%	17 Apr →
mirage	13–7	0.03	10%	17 Apr →
dust2	9–13	0.03	21%	17 Apr →
dust2	2–13	-0.06	43%	12 Apr →
nuke	3–13	-0.02	10%	12 Apr →
mirage	13–11	0.00	10%	11 Apr →
inferno	2–13	-0.08	7%	11 Apr →
anubis	6–13	-0.03	17%	11 Apr →
inferno	13–11	0.01	15%	11 Apr →
overpass	13–8	0.02	26%	11 Apr →
dust2	8–13	-0.08	13%	11 Apr →
mirage	13–8	0.08	10%	11 Apr →
inferno	9–13	-0.05	20%	11 Apr →
anubis	12–16	0.02	12%	5 Apr →
nuke	13–10	0.09	11%	5 Apr →
inferno	6–13	-0.06	5%	5 Apr →
mirage	5–13	-0.02	15%	4 Apr →
dust2	13–4	0.05	12%	4 Apr →
nuke	13–8	0.00	9%	4 Apr →
overpass	7–13	-0.00	3%	4 Apr →
dust2	0–13	0.01	15%	4 Apr →
mirage	6–13	0.01	0%	3 Apr →
inferno	13–8	0.03	9%	3 Apr →
ancient	9–13	-0.07	7%	3 Apr →
inferno	5–13	-0.05	4%	3 Apr →
inferno	13–6	0.02	7%	2 Apr →
nuke	9–13	-0.02	20%	2 Apr →
anubis	13–6	0.02	13%	2 Apr →
anubis	13–6	0.03	17%	2 Apr →
ancient	1–13	-0.11	10%	29 Mar →
mirage	3–13	-0.06	9%	29 Mar →
nuke	13–11	-0.01	12%	29 Mar →
anubis	6–13	0.00	10%	29 Mar →
dust2	13–8	0.00	16%	27 Mar →
inferno	16–14	-0.03	6%	27 Mar →
dust2	14–16	0.00	22%	27 Mar →
mirage	9–13	0.01	7%	27 Mar →
inferno	13–4	0.02	9%	24 Mar →
mirage	13–4	0.03	11%	23 Mar →
nuke	13–10	0.06	14%	22 Mar →
inferno	6–13	-0.04	9%	20 Mar →
overpass	15–15	-0.03	10%	20 Mar →
mirage	13–8	0.03	11%	20 Mar →
dust2	8–13	0.03	12%	20 Mar →
anubis	13–5	-0.05	4%	16 Mar →
ancient	9–13	-0.07	5%	16 Mar →
dust2	9–13	-0.08	9%	14 Mar →
mirage	14–16	-0.01	17%	14 Mar →
mirage	16–12	0.07	12%	14 Mar →
inferno	7–13	-0.00	10%	14 Mar →
inferno	6–13	-0.07	12%	13 Mar →
nuke	16–14	-0.05	10%	13 Mar →
mirage	9–13	0.02	8%	13 Mar →
anubis	11–13	-0.04	6%	13 Mar →
anubis	15–15	-0.05	16%	7 Mar →
dust2	13–2	0.03	9%	7 Mar →
anubis	13–4	0.02	9%	6 Mar →
inferno	13–11	-0.04	14%	6 Mar →
ancient	13–11	-0.11	4%	5 Mar →
anubis	11–13	0.01	11%	5 Mar →
inferno	10–13	0.00	19%	1 Mar →
mirage	5–13	-0.03	6%	1 Mar →
ancient	7–13	-0.06	9%	1 Mar →
anubis	6–13	-0.07	27%	27 Feb →
ancient	13–9	-0.02	15%	27 Feb →
ancient	13–4	-0.04	21%	27 Feb →
inferno	13–4	0.04	10%	27 Feb →
ancient	13–11	-0.10	6%	26 Feb →
ancient	13–7	0.08	15%	21 Feb →
inferno	11–13	-0.01	22%	21 Feb →
dust2	15–15	0.04	12%	21 Feb →
dust2	13–5	-0.02	19%	20 Feb →
inferno	13–4	0.03	23%	20 Feb →
mirage	13–1	0.05	8%	20 Feb →
inferno	11–13	0.03	20%	20 Feb →
nuke	11–13	-0.00	8%	20 Feb →
nuke	8–13	0.03	11%	20 Feb →
mirage	13–7	-0.04	7%	19 Feb →
inferno	5–13	-0.07	11%	19 Feb →
inferno	13–6	0.01	9%	16 Feb →
inferno	11–13	-0.04	15%	16 Feb →
overpass	9–13	-0.05	16%	15 Feb →
ancient	10–13	0.05	15%	15 Feb →
anubis	13–10	-0.08	10%	15 Feb →
mirage	16–12	-0.05	8%	14 Feb →
ancient	3–13	-0.01	8%	14 Feb →
inferno	5–13	0.02	21%	14 Feb →