buh — CS2 Stats

US76561198177086197[U:1:216820469]Steam profile ↗✓ No bans

1,074Tracked matches52%Win rate2023Tracked since

2,230Hours in CS3Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

WingmanSilver III

Ladder ranks via Leetify

Performance scores

Aim89

Positioning64

Utility12

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLWLLLWWWLW

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.9

Aggression7.2

Utility1.2

Positioning6.4

Opening Duels4.2

Sharp aimerStrong CT-side openerLimited 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 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 56% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim8.9

Positioning6.4

Utility1.2

Mechanics7.9

Opening Duels4.2

Win Impact5.6

Composite 6.3/10 (Solid), 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 rating0.03+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time569ms−7ms

first ⅓ avg 576ms → last ⅓ avg 569ms

Headshot accuracy21.8%+2.5%

first ⅓ avg 19.3% → last ⅓ avg 21.8%

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

0.18Best rating — office 13–4

13–1Biggest win — cache

5Longest win streak

5–5In matches decided by ≤2 rounds

Map breakdown

officeBest map · 67% over 18anubisWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
office	S	18	12–6	67%	0.07
dust2	B	17	8–9	47%	0.03
mirage	B	15	8–7	53%	0.00
nuke	C	12	5–7	42%	0.04
cache	D	9	2–7	22%	0.06
train	D	6	2–4	33%	0.02
anubis	D	5	0–5	0%	0.04
inferno	A	5	3–2	60%	0.05
vertigo	—	4	2–2	50%	0.04
ancient	—	4	2–2	50%	0.01
overpass	—	3	1–2	33%	-0.01
fachwerk	—	1	1–0	100%	0.07
shelter	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,311Lifetime kills

0.90K/D

3,702Matches

39.1%Match win rate

41.7%Headshot %

11.5%Shot accuracy

6,344MVPs

1,146Hours (in match)

1,630Bombs planted

569Bombs defused

Most-used weapons

AK-4717,562

M4A4 / M4A1-S10,368

AWP6,582

P2000 / USP-S3,041

Desert Eagle3,041

Glock-182,153

P901,279

SSG 081,109

MP91,091

Galil AR945

Lifetime map wins

8,411dust2

2,842inferno

1,179office

1,158nuke

515vertigo

447train

234cbble

72safehouse

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.

22.2%Headshot accuracy

39.1%Accuracy (enemy spotted)

41.2%Spray accuracy

85.5%Counter-strafing

8.2°Preaim

556msReaction time

37.2%T opening success

56.3%CT opening success

0.21Enemies flashed / flash

4.1%Flash assists

5.20HE damage / grenade

0.78Flashes / 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.

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 0.2122 — 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 37.2363% — 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.

0% win rate across 5 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
anubis	8–13	-0.00	29%	7 Aug →
mirage	13–2	0.02	22%	7 Aug →
dust2	2–12	-0.06	20%	7 Aug →
mirage	6–13	-0.01	34%	4 Aug →
vertigo	6–13	-0.01	23%	4 Aug →
dust2	13–8	-0.02	18%	4 Aug →
cache	13–2	0.03	19%	4 Aug →
mirage	11–0	0.02	25%	4 Aug →
anubis	2–13	0.10	28%	29 Jul →
train	13–11	0.04	30%	29 Jul →
inferno	13–10	0.03	26%	29 Jul →
dust2	13–4	0.05	25%	29 Jul →
nuke	13–11	0.11	25%	28 Jul →
dust2	13–7	0.11	21%	28 Jul →
ancient	5–13	0.04	13%	28 Jul →
mirage	2–13	-0.04	23%	27 Jul →
overpass	11–13	-0.01	24%	27 Jul →
office	13–10	0.10	26%	22 Jul →
inferno	13–6	0.09	11%	22 Jul →
office	13–10	0.09	13%	22 Jul →
mirage	13–5	0.05	23%	22 Jul →
office	11–13	0.18	11%	21 Jul →
vertigo	11–13	0.06	24%	21 Jul →
dust2	12–12	0.04	40%	21 Jul →
office	13–8	0.07	18%	21 Jul →
mirage	8–13	0.03	18%	21 Jul →
dust2	13–8	0.03	12%	21 Jul →
cache	6–13	-0.03	18%	21 Jul →
inferno	6–13	0.04	31%	17 Jul →
train	4–13	-0.06	20%	15 Jul →
ancient	13–4	-0.01	7%	14 Jul →
nuke	5–13	-0.01	23%	14 Jul →
vertigo	13–10	0.04	22%	14 Jul →
dust2	11–13	-0.01	17%	14 Jul →
cache	13–1	0.13	19%	14 Jul →
nuke	7–13	-0.00	21%	14 Jul →
nuke	6–13	0.06	14%	14 Jul →
nuke	13–5	0.09	17%	14 Jul →
office	12–12	-0.00	21%	14 Jul →
mirage	13–9	-0.03	23%	11 Jul →
dust2	7–13	-0.03	20%	11 Jul →
office	10–13	-0.02	20%	11 Jul →
fachwerk	13–5	0.07	19%	10 Jul →
shelter	13–7	0.02	30%	10 Jul →
cache	10–13	0.10	17%	8 Jul →
anubis	6–13	0.02	21%	8 Jul →
train	8–13	0.03	13%	7 Jul →
nuke	13–9	0.07	22%	7 Jul →
vertigo	13–2	0.05	19%	7 Jul →
mirage	9–13	-0.03	15%	6 Jul →
office	13–4	0.18	17%	6 Jul →
office	12–12	0.01	13%	6 Jul →
office	13–4	0.11	15%	6 Jul →
office	9–4	0.18	23%	1 Jul →
office	13–10	0.01	12%	1 Jul →
mirage	10–13	-0.04	11%	1 Jul →
dust2	13–8	0.04	20%	1 Jul →
dust2	7–13	0.03	13%	1 Jul →
nuke	3–8	0.01	18%	30 Jun →
dust2	12–12	0.14	15%	30 Jun →
office	13–7	0.08	22%	30 Jun →
cache	8–13	0.06	21%	30 Jun →
cache	6–13	0.12	29%	30 Jun →
office	6–13	0.04	17%	30 Jun →
office	5–10	0.01	21%	30 Jun →
mirage	13–6	0.03	19%	30 Jun →
mirage	7–0	0.02	30%	30 Jun →
office	13–11	0.04	16%	29 Jun →
inferno	7–13	0.04	19%	29 Jun →
office	13–11	-0.00	25%	24 Jun →
cache	12–12	0.04	13%	24 Jun →
office	13–7	0.06	18%	24 Jun →
train	4–13	-0.03	39%	23 Jun →
nuke	10–13	0.10	22%	23 Jun →
ancient	10–13	0.01	24%	23 Jun →
cache	3–13	0.07	20%	23 Jun →
dust2	13–3	0.09	23%	23 Jun →
anubis	9–13	0.00	21%	23 Jun →
dust2	13–4	0.01	10%	23 Jun →
dust2	9–13	-0.07	26%	23 Jun →
overpass	8–13	-0.05	13%	23 Jun →
dust2	4–13	-0.01	22%	23 Jun →
nuke	4–13	-0.03	19%	23 Jun →
train	13–10	0.11	18%	23 Jun →
nuke	13–10	-0.05	27%	23 Jun →
nuke	12–12	0.01	18%	23 Jun →
mirage	13–7	0.04	14%	23 Jun →
mirage	9–13	0.02	9%	22 Jun →
dust2	9–13	-0.03	6%	22 Jun →
train	12–12	0.03	35%	22 Jun →
overpass	13–4	0.05	15%	22 Jun →
inferno	7–2	0.03	18%	22 Jun →
ancient	13–7	-0.01	20%	17 Jun →
mirage	10–13	-0.02	12%	17 Jun →
mirage	13–1	-0.01	17%	17 Jun →
anubis	11–13	0.08	12%	17 Jun →
nuke	13–11	0.06	12%	16 Jun →
cache	4–13	0.04	22%	16 Jun →
dust2	6–2	0.13	28%	16 Jun →
office	13–9	0.11	25%	16 Jun →