Lilly — CS2 Stats

DE76561199436785114[U:1:1476519386]Steam profile ↗✓ No bans

5,727Tracked matches43%Win rate2022Tracked since

2,100Hours in CS

CSDB Rating4.2 Developing

Premier CS Rating17,030Purple band · top ~20.3% of ranked players (population est.)

CSDB Leaderboard#29350 of 55936 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 5 median	Level 6 median	vs Level 6
Headshot rate	34.2%	44.0%	44.7%	10.6% short
Shot accuracy	5.1%	11.6%	11.9%	6.9% short
Kill/death ratio	1.00	1.03	1.04	0.04 short
Match win rate	48.6%	45.1%	45.2%	above

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim44

Positioning54

Utility26

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLLLLWLLWLW

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

Player DNA

Aim4.4

Aggression8.8

Utility2.6

Positioning5.4

Opening Duels3.9

Clutch4.0

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 78% playstyle similarity

Most alike: positioning profile, 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. 666ms 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

Aim4.4

Positioning5.4

Utility2.6

Mechanics4.9

Opening Duels3.9

Win Impact2.8

Composite 4.2/10 (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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time675ms+6ms

first ⅓ avg 669ms → last ⅓ avg 675ms

Headshot accuracy12.8%+1.8%

first ⅓ avg 11.0% → last ⅓ avg 12.8%

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

0.17Best rating — anubis 13–1

13–1Biggest win — dust2

4Longest win streak

L4Current streak

3–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 67% over 9nukeWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	44	21–23	48%	0.01
cache	C	22	9–13	41%	0.00
nuke	D	12	4–8	33%	-0.00
anubis	S	9	6–3	67%	0.01
ancient	A	5	3–2	60%	-0.01
inferno	—	3	1–2	33%	-0.03
vertigo	—	1	1–0	100%	-0.01
train	—	1	0–1	0%	-0.01
shelter	—	1	0–1	0%	-0.07
mirage	—	1	0–1	0%	-0.01
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

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

Lifetime stats

95,096Lifetime kills

1.00K/D

5,534Matches

48.6%Match win rate · Top 25% of Level 5 players

34.2%Headshot %

5.1%Shot accuracy

14,268MVPs

2,100Hours (in match)

2,684Bombs planted

1,259Bombs defused

Most-used weapons

AK-4730,863

M4A4 / M4A1-S27,525

AWP14,722

Glock-184,481

P2000 / USP-S4,439

Galil AR2,692

Desert Eagle2,049

Tec-91,404

Five-SeveN1,295

FAMAS1,109

Lifetime map wins

28,751dust2

7,483inferno

5,310nuke

767vertigo

608train

182office

128cbble

99italy

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

Faceit stats

Combat

235Matches

50%Win rate

1.11Avg K/D

92.1ADR

31%Headshot %

Clutches & streaks

40%1v1 clutch win

24%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	48	60%	1.21	18.7
Anubis	13	46%	1.28	16.7
Mirage	11	36%	0.87	14.4
Inferno	11	55%	1.24	17.9
Ancient	10	30%	0.76	13.0
Nuke	9	67%	1.65	17.6
Cache	6	50%	1.17	24.3
Overpass	1	100%	0.86	12.0

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.

13.0%Headshot accuracy

31.2%Accuracy (enemy spotted)

36.3%Spray accuracy

72.0%Counter-strafing

9.5°Preaim

666msReaction time

39.6%T opening success

51.6%CT opening success

0.56Enemies flashed / flash

1.8%Flash assists

5.57HE damage / grenade

2.66Flashes / 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 12.9645% — 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 2.6557 — 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 39.5835% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	5–13	-0.01	13%	29 Aug →
dust2	9–13	-0.04	12%	29 Aug →
cache	5–13	0.02	12%	28 Aug →
inferno	4–13	-0.05	13%	28 Aug →
cache	13–10	-0.04	8%	26 Aug →
anubis	6–13	-0.04	15%	26 Aug →
dust2	8–13	-0.04	16%	26 Aug →
anubis	13–11	0.00	16%	23 Aug →
dust2	11–13	0.04	13%	23 Aug →
nuke	13–10	-0.01	17%	23 Aug →
inferno	13–6	-0.04	15%	23 Aug →
vertigo	13–5	-0.01	17%	23 Aug →
train	9–13	-0.01	9%	22 Aug →
nuke	6–13	-0.05	22%	22 Aug →
dust2	6–13	-0.05	11%	22 Aug →
nuke	11–13	-0.01	12%	22 Aug →
cache	13–10	0.04	11%	22 Aug →
cache	1–13	-0.11	0%	22 Aug →
dust2	13–8	0.08	10%	22 Aug →
inferno	5–13	-0.02	12%	21 Aug →
nuke	10–13	-0.00	9%	21 Aug →
cache	13–8	0.03	15%	21 Aug →
cache	16–13	0.09	11%	21 Aug →
dust2	13–4	0.04	16%	21 Aug →
cache	4–13	-0.06	10%	21 Aug →
dust2	13–7	0.14	10%	21 Aug →
nuke	3–13	0.04	31%	17 Aug →
dust2	5–13	-0.05	11%	17 Aug →
cache	13–9	0.02	12%	17 Aug →
dust2	13–5	0.10	12%	17 Aug →
dust2	13–9	0.03	16%	17 Aug →
dust2	13–10	0.03	7%	16 Aug →
cache	6–13	-0.02	9%	16 Aug →
anubis	13–8	0.08	13%	16 Aug →
cache	12–12	0.06	14%	16 Aug →
dust2	6–13	-0.02	29%	16 Aug →
anubis	13–9	-0.05	14%	15 Aug →
dust2	16–13	0.03	7%	15 Aug →
cache	10–13	-0.01	15%	15 Aug →
dust2	12–12	0.02	13%	14 Aug →
ancient	9–13	-0.05	17%	14 Aug →
ancient	13–3	0.02	6%	14 Aug →
dust2	13–7	-0.04	14%	14 Aug →
cache	13–7	0.02	9%	14 Aug →
dust2	13–9	-0.02	5%	14 Aug →
dust2	7–13	-0.02	8%	13 Aug →
ancient	9–13	-0.04	7%	13 Aug →
shelter	11–13	-0.07	7%	13 Aug →
mirage	5–13	-0.01	13%	13 Aug →
nuke	16–12	0.05	15%	13 Aug →
cache	0–13	-0.06	21%	13 Aug →
nuke	13–11	-0.02	22%	12 Aug →
cache	6–13	0.05	12%	12 Aug →
cache	13–16	-0.03	16%	12 Aug →
dust2	13–6	-0.01	19%	12 Aug →
dust2	13–8	-0.01	14%	12 Aug →
dust2	13–2	0.10	22%	12 Aug →
nuke	7–13	0.06	13%	12 Aug →
dust2	2–13	-0.07	15%	11 Aug →
anubis	13–4	0.09	14%	11 Aug →
dust2	15–15	0.02	9%	11 Aug →
dust2	13–2	0.02	19%	11 Aug →
dust2	13–2	0.05	15%	11 Aug →
dust2	9–13	-0.02	7%	11 Aug →
dust2	1–13	-0.05	14%	10 Aug →
nuke	6–13	-0.05	12%	9 Aug →
cache	9–13	0.00	10%	9 Aug →
dust2	9–13	0.01	10%	9 Aug →
dust2	13–11	-0.03	10%	9 Aug →
cache	13–6	0.11	12%	9 Aug →
cache	13–16	0.00	10%	9 Aug →
dust2	13–1	0.07	9%	9 Aug →
dust2	7–13	-0.01	9%	9 Aug →
overpass	8–13	-0.05	6%	9 Aug →
cache	7–13	-0.03	4%	9 Aug →
dust2	5–13	-0.00	11%	9 Aug →
ancient	13–9	0.03	8%	9 Aug →
dust2	10–13	0.01	19%	8 Aug →
dust2	3–13	-0.05	4%	8 Aug →
ancient	13–10	-0.02	14%	8 Aug →
dust2	5–13	0.03	6%	6 Aug →
cache	13–10	0.06	11%	6 Aug →
dust2	8–13	0.02	8%	6 Aug →
nuke	13–9	-0.00	11%	5 Aug →
dust2	13–4	-0.02	7%	5 Aug →
dust2	9–13	0.00	15%	5 Aug →
anubis	13–9	-0.01	11%	5 Aug →
anubis	13–1	0.17	15%	5 Aug →
cache	13–10	0.01	18%	5 Aug →
dust2	6–13	-0.02	15%	5 Aug →
dust2	13–6	0.04	17%	5 Aug →
nuke	8–13	-0.04	10%	5 Aug →
anubis	1–13	-0.05	13%	4 Aug →
dust2	13–5	-0.05	10%	4 Aug →
anubis	7–13	-0.07	9%	4 Aug →
dust2	13–4	0.12	19%	4 Aug →
cache	11–13	-0.06	13%	4 Aug →
dust2	8–13	-0.03	16%	4 Aug →
dust2	13–9	0.00	11%	4 Aug →
nuke	10–13	-0.03	6%	4 Aug →