lulle — CS2 Stats

SE76561198021310644[U:1:61044916]Steam profile ↗✓ No bans

3,274Tracked matches47%Win rate2020Tracked since

CSDB Rating5.4 DevelopingPassive Rifler

Premier CS Rating23,268Top 50% of 29,473 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning46

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLWLLLWWLLW

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

Player DNA

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

Aim6.4

Aggression3.7

Utility6.7

Positioning4.6

Opening Duels0.8

Clutch4.4

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 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.93 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 651ms 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

Aim6.4

Positioning4.6

Utility6.7

Mechanics6.3

Opening Duels0.9

Win Impact3.9

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time649ms+24ms

first ⅓ avg 625ms → last ⅓ avg 649ms

Headshot accuracy17.5%−3.4%

first ⅓ avg 20.9% → last ⅓ avg 17.5%

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

0.18Best rating — dust2 13–3

13–1Biggest win — mirage

5Longest win streak

8–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 65% over 17anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	16–11	59%	-0.01
inferno	S	17	11–6	65%	0.00
dust2	A	15	9–6	60%	0.01
ancient	B	11	5–6	45%	0.01
anubis	D	10	2–8	20%	-0.02
vertigo	C	8	3–5	38%	0.02
nuke	C	7	3–4	43%	-0.04
cache	—	3	2–1	67%	-0.01
overpass	—	1	0–1	0%	0.03
train	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,760Matches

51%Win rate

1.03Avg K/D

72.2ADR

52%Headshot %

Clutches & streaks

42%1v1 clutch win

12%1v2 clutch win

15Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	139	60%	1.01	15.4
Ancient	114	51%	0.96	14.8
Anubis	94	45%	0.90	13.7
Inferno	93	49%	0.99	15.0
Dust2	60	58%	0.96	13.8
Nuke	45	56%	1.00	15.4
Overpass	24	46%	0.98	16.0
Vertigo	12	50%	0.84	14.3

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.

17.3%Headshot accuracy

34.9%Accuracy (enemy spotted)

38.8%Spray accuracy

78.2%Counter-strafing

9.8°Preaim

651msReaction time

28.6%T opening success

37.5%CT opening success

0.93Enemies flashed / flash

8.8%Flash assists

12.92HE damage / grenade

7.71Flashes / 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 28.6486% — 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.

20% win rate across 10 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
ancient	9–13	-0.04	16%	20 Aug →
mirage	13–10	0.07	19%	20 Aug →
dust2	9–13	0.01	9%	20 Aug →
anubis	7–13	0.02	18%	20 Aug →
anubis	7–13	-0.02	21%	14 Aug →
dust2	13–11	0.01	17%	14 Aug →
mirage	13–4	0.04	18%	11 Aug →
dust2	8–13	-0.02	22%	11 Aug →
inferno	6–13	-0.03	21%	8 Aug →
dust2	8–0	-0.03	15%	8 Aug →
mirage	13–2	0.00	25%	8 Aug →
ancient	10–13	-0.01	13%	8 Aug →
inferno	11–13	0.09	24%	8 Aug →
vertigo	9–13	-0.01	13%	2 Aug →
mirage	13–9	-0.00	17%	2 Aug →
overpass	10–13	0.03	23%	2 Aug →
inferno	13–10	0.01	2%	31 Jul →
dust2	13–11	0.01	33%	30 Jul →
vertigo	13–10	0.05	21%	30 Jul →
mirage	9–13	-0.02	14%	30 Jul →
vertigo	3–13	-0.03	31%	30 Jul →
nuke	10–13	-0.04	12%	29 Jul →
vertigo	8–13	-0.01	12%	29 Jul →
mirage	13–9	0.06	24%	29 Jul →
anubis	12–16	-0.04	15%	29 Jul →
mirage	13–8	-0.01	9%	27 Jul →
anubis	5–13	-0.06	30%	27 Jul →
dust2	13–9	-0.06	4%	27 Jul →
ancient	13–10	0.10	17%	26 Jul →
mirage	13–6	0.08	12%	26 Jul →
vertigo	13–5	-0.00	24%	26 Jul →
inferno	13–2	0.00	14%	25 Jul →
cache	8–13	-0.04	13%	25 Jul →
anubis	7–13	0.00	15%	25 Jul →
dust2	13–3	0.18	22%	25 Jul →
nuke	13–10	-0.06	22%	23 Jul →
anubis	10–13	-0.01	15%	23 Jul →
mirage	13–16	-0.02	15%	23 Jul →
inferno	13–7	0.02	13%	23 Jul →
mirage	13–1	0.09	25%	23 Jul →
inferno	13–4	0.08	22%	23 Jul →
mirage	13–9	0.02	20%	23 Jul →
vertigo	10–13	0.00	21%	23 Jul →
ancient	13–16	0.01	16%	22 Jul →
train	9–13	-0.04	34%	22 Jul →
vertigo	13–2	0.13	15%	22 Jul →
nuke	13–7	0.01	16%	22 Jul →
dust2	13–7	0.03	10%	22 Jul →
anubis	15–15	-0.00	12%	22 Jul →
mirage	13–5	0.06	22%	22 Jul →
mirage	10–13	-0.02	11%	21 Jul →
inferno	13–2	0.02	19%	21 Jul →
inferno	13–5	-0.01	27%	21 Jul →
anubis	3–13	-0.04	35%	21 Jul →
mirage	3–13	-0.05	17%	21 Jul →
dust2	9–13	0.00	14%	21 Jul →
mirage	13–7	-0.01	23%	21 Jul →
ancient	13–11	0.00	16%	19 Jul →
mirage	13–9	0.00	20%	19 Jul →
nuke	9–13	-0.05	13%	19 Jul →
mirage	13–3	-0.02	6%	19 Jul →
vertigo	11–13	0.01	23%	19 Jul →
inferno	10–13	-0.02	14%	19 Jul →
mirage	13–10	0.01	8%	19 Jul →
ancient	13–7	0.07	26%	19 Jul →
nuke	13–7	0.03	19%	19 Jul →
mirage	3–13	-0.06	29%	19 Jul →
dust2	13–8	0.12	18%	19 Jul →
mirage	7–13	-0.05	13%	18 Jul →
inferno	10–13	0.02	25%	18 Jul →
anubis	13–5	-0.06	19%	17 Jul →
ancient	13–11	0.01	28%	17 Jul →
dust2	13–3	-0.01	21%	17 Jul →
cache	13–10	0.01	17%	17 Jul →
cache	13–11	-0.01	20%	17 Jul →
inferno	6–13	-0.04	6%	16 Jul →
mirage	6–13	-0.06	18%	16 Jul →
dust2	16–19	0.01	21%	25 Jun →
mirage	9–13	-0.05	25%	23 Jun →
nuke	6–13	-0.06	30%	15 Jun →
mirage	7–13	-0.08	33%	15 Jun →
inferno	16–14	-0.02	23%	15 Jun →
mirage	3–13	-0.11	22%	14 Jun →
ancient	13–6	0.02	33%	14 Jun →
inferno	10–13	-0.06	13%	14 Jun →
mirage	16–13	-0.02	28%	13 Jun →
ancient	3–13	-0.04	29%	13 Jun →
anubis	13–7	0.03	20%	13 Jun →
mirage	1–13	-0.04	18%	12 Jun →
inferno	12–5	0.08	18%	12 Jun →
dust2	5–13	-0.02	17%	12 Jun →
inferno	13–10	-0.01	25%	12 Jun →
mirage	13–7	0.02	20%	12 Jun →
inferno	13–11	-0.02	21%	11 Jun →
inferno	13–11	-0.06	13%	5 Jun →
ancient	9–13	-0.07	19%	1 Jun →
nuke	11–13	-0.09	19%	26 May →
dust2	8–13	-0.05	21%	26 May →
dust2	16–13	-0.00	19%	25 May →
ancient	8–13	-0.01	15%	25 May →