⟡⌁L͎i͎l͎B͎e͎a͎n͎.exe⌁⟡ — CS2 Stats

76561199524742962[U:1:1564477234]

890Tracked matches62%Win rate2023Tracked since

922Hours in CS

CSDB Rating4.5 Developing

Premier CS Rating3,780Grey band · top ~84% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning52

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY39–59–2Last 10039%Win rateLWWWLLWWWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.0

Aggression6.9

Utility4.4

Positioning5.2

Opening Duels3.4

Clutch0.0

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 58% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0

Positioning5.2

Utility4.4

Mechanics4.0

Opening Duels3.4

Win Impact9.0

Composite 4.5/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time610ms−26ms

first ⅓ avg 635ms → last ⅓ avg 610ms

Headshot accuracy14.0%−4.3%

first ⅓ avg 18.4% → last ⅓ avg 14.0%

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

0.16Best rating — cache 13–6

13–0Biggest win — mirage

4Longest win streak

3–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 57% over 7infernoWeakest map · 0% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	33	12–21	36%	0.01
mirage	B	24	13–11	54%	0.01
cache	D	14	4–10	29%	0.00
nuke	C	9	4–5	44%	-0.01
inferno	D	9	0–9	0%	-0.02
anubis	A	7	4–3	57%	0.04
ancient	—	3	1–2	33%	0.01
overpass	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,430Lifetime kills

0.94K/D

1,734Matches

36.8%Match win rate

42.6%Headshot %

2.5%Shot accuracy

2,490MVPs

922Hours (in match)

1,316Bombs planted

225Bombs defused

Most-used weapons

AK-479,518

AWP5,642

M4A4 / M4A1-S4,629

Desert Eagle2,532

P2000 / USP-S1,610

Glock-181,006

SSG 08555

MP9405

P250345

Galil AR299

Lifetime map wins

2,862dust2

1,407inferno

1,405nuke

521vertigo

366train

52office

5ar_baggage

4italy

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

Faceit stats

Combat

6Matches

33%Win rate

0.34Avg K/D

33.3ADR

38%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	3	67%	0.48	6.3
Mirage	2	0%	0.20	3.0
Nuke	1	0%	0.21	5.0

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.

13.5%Headshot accuracy

32.4%Accuracy (enemy spotted)

34.9%Spray accuracy

67.9%Counter-strafing

9.2°Preaim

607msReaction time

29.5%T opening success

57.5%CT opening success

0.50Enemies flashed / flash

5.4%Flash assists

7.11HE damage / grenade

10.46Flashes / 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 13.5227% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4975 — below the 0.5 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 29.494% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	8–13	0.04	12%	26 Aug →
anubis	13–3	0.12	19%	26 Aug →
dust2	13–4	0.07	20%	26 Aug →
nuke	13–10	0.02	9%	26 Aug →
cache	8–13	-0.03	17%	25 Aug →
nuke	7–13	-0.02	15%	25 Aug →
mirage	13–9	-0.07	6%	25 Aug →
dust2	13–3	0.06	14%	25 Aug →
dust2	13–7	0.05	10%	25 Aug →
mirage	9–13	0.03	10%	24 Aug →
dust2	9–13	-0.07	9%	24 Aug →
dust2	0–13	-0.04	36%	23 Aug →
anubis	13–9	0.04	9%	23 Aug →
nuke	13–6	-0.04	21%	22 Aug →
mirage	13–9	0.11	6%	22 Aug →
mirage	5–13	0.03	6%	22 Aug →
nuke	13–1	0.06	13%	21 Aug →
cache	13–4	0.05	20%	21 Aug →
dust2	13–10	0.03	18%	21 Aug →
cache	15–15	0.01	15%	21 Aug →
mirage	13–9	-0.07	14%	21 Aug →
dust2	13–9	-0.03	12%	21 Aug →
anubis	13–16	0.03	12%	20 Aug →
mirage	7–13	0.01	27%	17 Aug →
dust2	13–9	0.04	15%	17 Aug →
mirage	4–13	-0.02	2%	17 Aug →
dust2	10–13	-0.01	11%	17 Aug →
cache	13–6	0.16	17%	16 Aug →
dust2	13–8	0.02	22%	16 Aug →
dust2	13–11	0.02	11%	16 Aug →
mirage	13–0	0.06	9%	16 Aug →
cache	4–13	-0.00	12%	15 Aug →
anubis	10–13	-0.09	15%	15 Aug →
inferno	3–13	-0.01	37%	15 Aug →
dust2	0–5	-0.00	33%	15 Aug →
cache	0–13	-0.06	33%	15 Aug →
dust2	8–13	-0.04	14%	15 Aug →
mirage	13–7	-0.04	22%	15 Aug →
dust2	8–13	-0.05	20%	14 Aug →
inferno	8–13	-0.07	12%	14 Aug →
dust2	9–13	-0.05	16%	14 Aug →
dust2	13–7	-0.01	22%	1 Aug →
dust2	10–13	-0.03	8%	31 Jul →
inferno	8–13	-0.04	18%	31 Jul →
ancient	13–8	0.05	10%	30 Jul →
dust2	11–13	-0.02	13%	29 Jul →
dust2	6–13	-0.03	23%	28 Jul →
cache	6–13	0.04	14%	28 Jul →
cache	3–13	-0.05	24%	27 Jul →
inferno	14–16	0.04	26%	27 Jul →
cache	7–13	0.05	18%	26 Jul →
inferno	7–13	-0.06	24%	26 Jul →
mirage	13–5	0.11	11%	26 Jul →
dust2	7–13	0.12	15%	26 Jul →
nuke	4–13	-0.03	36%	23 Jul →
nuke	11–13	-0.07	10%	22 Jul →
cache	16–13	0.01	22%	22 Jul →
mirage	8–13	0.01	30%	22 Jul →
dust2	8–13	-0.01	14%	21 Jul →
ancient	6–13	-0.03	9%	19 Jul →
cache	7–13	-0.07	11%	19 Jul →
anubis	13–5	0.01	32%	19 Jul →
mirage	11–13	0.03	22%	18 Jul →
mirage	8–13	-0.04	17%	18 Jul →
dust2	8–13	-0.05	24%	16 Jul →
mirage	16–14	0.01	15%	16 Jul →
dust2	9–13	-0.00	18%	16 Jul →
cache	15–15	0.02	16%	16 Jul →
mirage	13–8	0.02	16%	15 Jul →
inferno	12–16	-0.01	19%	15 Jul →
nuke	13–7	0.00	13%	14 Jul →
dust2	13–9	0.06	15%	13 Jul →
dust2	13–6	-0.03	7%	13 Jul →
cache	11–13	-0.04	34%	13 Jul →
cache	13–5	-0.07	12%	12 Jul →
mirage	2–13	-0.07	13%	11 Jul →
dust2	3–13	0.04	25%	28 Jun →
inferno	6–13	0.01	33%	28 Jun →
dust2	7–13	-0.04	17%	28 Jun →
nuke	7–13	-0.02	12%	28 Jun →
dust2	2–13	0.07	12%	28 Jun →
anubis	11–13	0.11	18%	27 Jun →
inferno	5–13	0.04	39%	27 Jun →
dust2	0–13	0.02	17%	26 Jun →
mirage	3–13	-0.02	28%	22 Jun →
mirage	13–5	0.09	12%	19 Jun →
inferno	8–13	-0.05	21%	19 Jun →
overpass	13–11	-0.00	15%	4 Jun →
dust2	9–13	0.08	12%	4 Jun →
mirage	13–4	0.05	31%	3 Jun →
mirage	16–13	-0.04	14%	3 Jun →
mirage	13–7	-0.01	15%	28 May →
mirage	13–4	-0.01	19%	27 May →
ancient	8–13	0.02	20%	26 May →
anubis	13–1	0.04	14%	26 May →
dust2	7–13	0.01	26%	18 May →
dust2	13–3	0.03	15%	11 May →
mirage	7–13	-0.03	23%	7 May →
mirage	6–13	0.05	10%	7 May →
dust2	8–13	0.03	13%	4 May →