be's cute — CS2 Stats

76561198044989285[U:1:84723557]Steam profile ↗✓ No bans

261Tracked matches50%Win rate2022Tracked since

1,606Hours in CS1Hrs last 2 wks

CSDB Rating5.1 Developing

Ladder ranks via Leetify

Performance scores

Aim53

Positioning49

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateWWLLWLLLTW

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

Player DNA

Aim5.3

Aggression5.0

Utility5.0

Positioning4.9

Opening Duels1.2

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 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 679ms 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

Aim5.3

Positioning4.9

Utility5.0

Mechanics7.8

Opening Duels1.2

Win Impact5.0

Composite 5.1/10 (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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time692ms−12ms

first ⅓ avg 704ms → last ⅓ avg 692ms

Headshot accuracy14.9%−1.9%

first ⅓ avg 16.7% → last ⅓ avg 14.9%

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 — inferno 9–0

13–0Biggest win — ancient

5Longest win streak

W2Current streak

8–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 80% over 10dust2Weakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	19	9–10	47%	-0.03
inferno	C	18	8–10	44%	-0.02
dust2	D	16	5–11	31%	-0.03
ancient	S	10	8–2	80%	-0.02
nuke	D	9	3–6	33%	-0.05
mirage	B	8	4–4	50%	-0.02
train	S	7	5–2	71%	-0.03
warden	—	3	0–3	0%	-0.03
vertigo	—	3	0–3	0%	-0.01
poseidon	—	2	1–1	50%	-0.14
boulder	—	1	0–1	0%	-0.06
fachwerk	—	1	1–0	100%	0.13
stronghold	—	1	0–1	0%	-0.05
anubis	—	1	0–1	0%	-0.04
overpass	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,625Lifetime kills

0.76K/D

2,302Matches

40.7%Match win rate

38.7%Headshot %

17.0%Shot accuracy · Top 25% of tracked players

3,503MVPs

936Hours (in match)

2,014Bombs planted

318Bombs defused

Most-used weapons

AK-4710,623

M4A4 / M4A1-S5,644

AWP3,590

P2000 / USP-S2,293

Glock-181,564

Desert Eagle1,302

P2501,096

UMP-45910

P90772

Knife741

Lifetime map wins

6,194dust2

1,773inferno

1,619nuke

459train

235office

229vertigo

198cbble

81lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.2%Headshot accuracy

32.7%Accuracy (enemy spotted)

35.0%Spray accuracy

85.2%Counter-strafing

11.0°Preaim

679msReaction time

33.5%T opening success

36.4%CT opening success

0.64Enemies flashed / flash

5.1%Flash assists

7.25HE damage / grenade

6.19Flashes / 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 33.4748% — 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.

31% win rate across 16 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
dust2	13–11	-0.06	18%	14 Aug →
ancient	13–3	-0.01	19%	26 Jul →
nuke	8–13	-0.06	4%	26 Jul →
cache	9–13	-0.06	18%	26 Jul →
cache	13–6	0.05	13%	13 Jul →
boulder	10–13	-0.06	21%	13 Jul →
dust2	11–13	0.03	15%	12 Jul →
dust2	5–13	-0.04	26%	12 Jul →
cache	12–12	-0.03	17%	11 Jul →
ancient	13–10	-0.00	17%	11 Jul →
fachwerk	13–2	0.13	12%	10 Jul →
dust2	13–6	-0.03	7%	10 Jul →
ancient	13–6	-0.04	14%	7 Jul →
cache	3–13	-0.05	14%	7 Jul →
mirage	8–13	-0.01	13%	7 Jul →
ancient	13–11	-0.01	17%	6 Jul →
mirage	8–13	0.03	13%	6 Jul →
cache	11–13	-0.03	22%	2 Jul →
poseidon	3–9	-0.18	0%	2 Jul →
poseidon	9–6	-0.09	29%	2 Jul →
ancient	13–9	0.09	14%	1 Jul →
train	13–6	0.00	5%	27 Jun →
cache	13–10	-0.08	9%	27 Jun →
mirage	13–6	-0.04	3%	27 Jun →
nuke	3–13	-0.05	19%	26 Jun →
inferno	13–8	0.05	17%	26 Jun →
ancient	13–0	0.08	11%	26 Jun →
dust2	15–15	0.00	12%	25 Jun →
ancient	4–13	-0.12	8%	25 Jun →
inferno	9–13	-0.05	19%	25 Jun →
mirage	9–13	-0.01	11%	24 Jun →
warden	3–13	-0.04	50%	24 Jun →
ancient	13–4	-0.03	3%	24 Jun →
nuke	11–13	-0.06	13%	24 Jun →
train	13–6	-0.02	24%	24 Jun →
cache	3–13	-0.03	22%	24 Jun →
dust2	9–13	-0.07	23%	24 Jun →
dust2	13–3	0.01	19%	23 Jun →
inferno	9–4	-0.04	7%	23 Jun →
inferno	9–0	0.16	3%	23 Jun →
inferno	0–9	-0.09	0%	23 Jun →
inferno	6–9	-0.08	12%	23 Jun →
vertigo	6–13	0.02	11%	23 Jun →
warden	8–13	0.02	14%	23 Jun →
warden	10–13	-0.06	16%	22 Jun →
inferno	13–6	0.04	11%	22 Jun →
inferno	13–10	0.07	18%	22 Jun →
inferno	4–13	-0.00	18%	22 Jun →
cache	13–6	-0.03	8%	19 Jun →
ancient	2–13	-0.13	0%	18 Jun →
stronghold	7–13	-0.05	5%	18 Jun →
train	13–11	-0.03	7%	18 Jun →
dust2	7–13	-0.04	19%	18 Jun →
cache	13–9	-0.05	10%	17 Jun →
train	13–11	-0.02	15%	17 Jun →
dust2	2–13	-0.07	26%	17 Jun →
nuke	6–13	-0.11	4%	16 Jun →
inferno	6–13	-0.08	8%	16 Jun →
cache	13–7	-0.00	17%	16 Jun →
anubis	5–13	-0.04	11%	16 Jun →
overpass	13–11	-0.05	10%	14 Jun →
vertigo	8–13	-0.05	10%	14 Jun →
cache	10–13	0.01	15%	14 Jun →
nuke	13–11	-0.06	9%	14 Jun →
vertigo	12–12	-0.01	23%	13 Jun →
cache	0–13	-0.08	26%	13 Jun →
mirage	2–13	-0.09	10%	13 Jun →
dust2	0–13	-0.08	10%	13 Jun →
inferno	13–7	0.03	17%	12 Jun →
inferno	5–13	-0.06	10%	12 Jun →
ancient	13–9	0.02	9%	12 Jun →
nuke	12–12	-0.08	8%	12 Jun →
dust2	13–11	0.03	18%	11 Jun →
cache	13–7	-0.03	10%	10 Jun →
train	9–13	-0.03	11%	10 Jun →
dust2	13–6	0.02	22%	9 Jun →
mirage	13–3	0.05	19%	9 Jun →
train	13–4	-0.06	11%	9 Jun →
cache	11–13	-0.07	12%	9 Jun →
inferno	4–13	-0.06	22%	9 Jun →
dust2	12–12	-0.03	13%	9 Jun →
cache	7–13	0.02	19%	8 Jun →
mirage	13–9	-0.08	13%	8 Jun →
inferno	13–6	-0.00	26%	8 Jun →
inferno	12–12	-0.04	11%	6 Jun →
nuke	12–12	-0.02	24%	6 Jun →
cache	13–10	-0.08	16%	6 Jun →
train	3–13	-0.06	29%	6 Jun →
dust2	3–13	-0.02	17%	6 Jun →
dust2	4–13	-0.10	7%	6 Jun →
mirage	13–7	-0.02	8%	5 Jun →
nuke	13–6	-0.05	21%	5 Jun →
dust2	5–13	-0.04	21%	5 Jun →
inferno	12–12	-0.04	8%	5 Jun →
cache	13–10	0.05	20%	4 Jun →
nuke	13–11	0.05	22%	4 Jun →
cache	13–8	-0.01	31%	3 Jun →
inferno	5–13	-0.01	33%	3 Jun →
cache	6–13	0.01	26%	30 May →
inferno	13–1	-0.11	10%	29 May →