BoogaSugga — CS2 Stats

76561199751478162[U:1:1791212434]Steam profile ↗

690Tracked matches47%Win rate2024Tracked since

815Hours in CS

CSDB Rating4.2 Developing

Premier CS Rating11,814Blue band · top ~45.3% of ranked players (population est.)

CSDB Leaderboard#31944 of 46336 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	32.3%	41.4%	44.2%	11.9% short
Shot accuracy	0.0%	9.0%	11.6%	11.6% short
Kill/death ratio	0.97	0.97	1.03	0.06 short
Match win rate	48.5%	43.7%	45.2%	above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

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Performance scores

Aim51

Positioning42

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateTWWWLLWWLW

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

Player DNA

Aim5.1

Aggression5.5

Utility5.0

Positioning4.2

Opening Duels0.8

Clutch5.2

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 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 688ms 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

Aim5.1

Positioning4.2

Utility5.0

Mechanics5.2

Opening Duels0.8

Win Impact3.9

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time691ms−20ms

first ⅓ avg 710ms → last ⅓ avg 691ms

Headshot accuracy12.6%−4.7%

first ⅓ avg 17.4% → last ⅓ avg 12.6%

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

0.13Best rating — inferno 9–4

13–2Biggest win — cache

5Longest win streak

5–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 78% over 9anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	14–8	64%	-0.01
mirage	C	18	7–11	39%	-0.01
inferno	C	14	6–8	43%	-0.00
nuke	B	13	7–6	54%	-0.01
cache	S	9	7–2	78%	-0.02
anubis	C	8	3–5	38%	-0.02
ancient	B	6	3–3	50%	-0.01
vertigo	B	6	3–3	50%	0.01
train	—	2	2–0	100%	0.04
overpass	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,988Lifetime kills

0.97K/D

953Matches

48.5%Match win rate · Top 25% of Blue band

32.3%Headshot %

0.0%Shot accuracy

1,944MVPs

815Hours (in match)

827Bombs planted

220Bombs defused

Most-used weapons

AK-473,016

M4A4 / M4A1-S2,148

AWP1,805

Desert Eagle804

P2000 / USP-S741

MP9568

Glock-18550

MAC-10470

SSG 08433

Galil AR386

Lifetime map wins

2,075dust2

1,564inferno

771nuke

465vertigo

391train

1ar_shoots

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

Faceit stats

Combat

95Matches

51%Win rate

0.89Avg K/D

73.5ADR

27%Headshot %

Clutches & streaks

46%1v1 clutch win

11%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	26	38%	0.88	14.8
Dust2	20	45%	0.94	15.3
Ancient	13	62%	0.96	14.5
Inferno	13	54%	0.76	12.4
Overpass	10	70%	0.92	14.3
Nuke	6	67%	0.86	13.7
Anubis	4	75%	0.88	12.3
Cache	3	0%	0.76	15.0

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.

11.9%Headshot accuracy

39.9%Accuracy (enemy spotted)

39.0%Spray accuracy

73.2%Counter-strafing

11.5°Preaim

688msReaction time

31.4%T opening success

35.3%CT opening success

0.64Enemies flashed / flash

7.8%Flash assists

10.48HE damage / grenade

5.39Flashes / 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 11.8781% — below the 15% mark we flag
Aim Training →
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 31.3999% — 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.

38% win rate across 8 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
inferno	8–8	-0.01	15%	29 Aug →
anubis	13–11	0.00	14%	27 Aug →
dust2	13–7	-0.02	20%	27 Aug →
dust2	13–5	-0.04	7%	25 Aug →
dust2	14–16	-0.08	21%	22 Aug →
ancient	9–13	0.01	14%	22 Aug →
nuke	13–7	-0.04	10%	18 Aug →
train	13–8	-0.04	12%	15 Aug →
ancient	2–13	-0.03	14%	14 Aug →
inferno	13–10	-0.03	11%	14 Aug →
mirage	13–6	0.01	18%	11 Aug →
mirage	16–13	-0.05	6%	9 Aug →
ancient	13–11	0.01	8%	3 Aug →
nuke	13–9	-0.00	15%	2 Aug →
inferno	10–13	0.05	14%	2 Aug →
cache	7–13	-0.01	6%	2 Aug →
dust2	0–4	-0.05	33%	2 Aug →
nuke	10–13	-0.05	5%	2 Aug →
nuke	13–7	0.01	9%	2 Aug →
anubis	6–13	-0.10	3%	1 Aug →
mirage	8–13	-0.05	12%	1 Aug →
cache	13–10	-0.05	14%	1 Aug →
vertigo	13–8	0.00	11%	1 Aug →
mirage	10–13	0.02	13%	1 Aug →
inferno	3–10	-0.07	12%	1 Aug →
mirage	10–13	-0.03	10%	31 Jul →
nuke	6–11	0.00	18%	31 Jul →
nuke	11–13	-0.02	14%	31 Jul →
anubis	13–11	-0.04	5%	31 Jul →
dust2	2–13	-0.10	18%	29 Jul →
mirage	7–13	-0.01	15%	29 Jul →
cache	3–13	-0.06	9%	28 Jul →
anubis	8–13	0.01	16%	26 Jul →
dust2	13–7	-0.01	10%	26 Jul →
nuke	9–13	-0.00	23%	25 Jul →
ancient	10–13	-0.05	8%	22 Jul →
ancient	13–6	0.05	14%	22 Jul →
dust2	5–13	-0.04	8%	21 Jul →
mirage	7–13	0.01	9%	19 Jul →
dust2	13–9	0.00	11%	19 Jul →
inferno	11–13	-0.07	19%	19 Jul →
mirage	13–4	0.01	8%	19 Jul →
inferno	9–4	0.11	9%	19 Jul →
inferno	8–8	-0.04	9%	19 Jul →
nuke	13–11	-0.05	11%	18 Jul →
mirage	15–15	-0.00	5%	18 Jul →
dust2	9–13	0.02	18%	17 Jul →
anubis	13–10	-0.05	10%	17 Jul →
inferno	5–13	-0.06	9%	15 Jul →
inferno	9–2	0.04	14%	14 Jul →
dust2	13–6	0.05	5%	14 Jul →
vertigo	13–4	0.06	7%	14 Jul →
ancient	13–9	-0.04	14%	12 Jul →
dust2	13–8	-0.03	3%	12 Jul →
dust2	2–9	-0.06	24%	9 Jul →
anubis	10–13	0.06	19%	8 Jul →
cache	13–6	-0.00	23%	8 Jul →
mirage	13–8	0.02	18%	6 Jul →
overpass	3–13	-0.10	13%	6 Jul →
dust2	13–3	0.04	15%	6 Jul →
inferno	13–4	-0.03	7%	6 Jul →
dust2	13–6	0.09	9%	5 Jul →
vertigo	10–13	0.09	16%	5 Jul →
cache	13–2	0.05	11%	3 Jul →
cache	13–8	0.03	19%	3 Jul →
nuke	8–8	-0.02	19%	2 Jul →
nuke	9–13	-0.00	17%	1 Jul →
overpass	13–4	0.11	24%	1 Jul →
inferno	9–4	0.13	8%	1 Jul →
nuke	9–0	0.03	5%	1 Jul →
vertigo	12–12	-0.03	11%	1 Jul →
vertigo	13–6	-0.02	20%	1 Jul →
cache	13–4	-0.04	8%	1 Jul →
dust2	13–6	-0.01	13%	1 Jul →
mirage	12–12	-0.04	12%	30 Jun →
mirage	3–10	-0.03	11%	30 Jun →
dust2	13–6	-0.03	38%	30 Jun →
cache	13–7	-0.02	17%	29 Jun →
inferno	13–6	-0.01	24%	29 Jun →
train	13–7	0.12	19%	28 Jun →
dust2	5–8	-0.04	32%	27 Jun →
vertigo	6–13	-0.05	60%	27 Jun →
cache	13–8	-0.05	50%	27 Jun →
dust2	13–9	-0.04	18%	27 Jun →
anubis	6–13	-0.03	9%	26 Jun →
mirage	13–5	0.01	11%	26 Jun →
dust2	11–13	-0.06	6%	26 Jun →
dust2	13–8	0.05	14%	26 Jun →
nuke	13–9	0.01	4%	25 Jun →
nuke	9–7	-0.02	8%	24 Jun →
inferno	7–9	-0.04	10%	24 Jun →
inferno	6–13	-0.05	8%	24 Jun →
dust2	13–10	0.02	11%	24 Jun →
dust2	13–10	0.04	16%	24 Jun →
mirage	10–13	-0.06	27%	24 Jun →
mirage	13–4	0.12	27%	24 Jun →
mirage	1–13	0.01	10%	23 Jun →
anubis	8–13	-0.03	12%	22 Jun →
mirage	6–13	-0.12	13%	22 Jun →
mirage	13–7	-0.00	22%	22 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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