BustMaxxing♡ — CS2 Stats

76561198205932669[U:1:245666941]✓ No bans

2,510Tracked matches52%Win rate2024Tracked since

2,218Hours in CS31Hrs last 2 wks

CSDB Rating5.9 SolidPassive Rifler

Premier CS Rating26,964Top 25% of 819 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#859 of 15546 tracked

FaceitLevel 8 · 1,192 ELOTop 31.2% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning52

Utility57

0–100 skill scores via Leetify.

Recent form

COLD54–41–5Last 10054%Win rateLLLLWWLLLL

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

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

Aim7.8

Aggression4.3

Utility5.7

Positioning5.2

Opening Duels0.0

Clutch3.2

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 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.8

Positioning5.2

Utility5.7

Mechanics5.7

Opening Duels0.1

Win Impact5.6

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03

first ⅓ avg 0.02 → last ⅓ avg 0.05

Reaction time514ms−23ms

first ⅓ avg 537ms → last ⅓ avg 514ms

Headshot accuracy11.5%+1.8%

first ⅓ avg 9.7% → last ⅓ avg 11.5%

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

0.21Best rating — dust2 13–2

13–0Biggest win — inferno

9Longest win streak

L4Current streak

9–1In matches decided by ≤2 rounds

2Overtime games

Map breakdown

ancientBest map · 62% over 13mirageWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	13–10	57%	0.05
inferno	A	17	10–7	59%	0.03
ancient	A	13	8–5	62%	0.04
mirage	C	12	5–7	42%	0.04
nuke	A	12	7–5	58%	0.03
cache	B	8	4–4	50%	0.03
anubis	C	7	3–4	43%	0.02
vertigo	B	6	3–3	50%	0.03
train	—	1	1–0	100%	-0.00
office	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,445Lifetime kills

1.17K/D · Top 50% of tracked players

2,991Matches

52.0%Match win rate · Top 25% of tracked players

36.2%Headshot %

0.1%Shot accuracy

6,276MVPs

1,166Hours (in match)

4,883Bombs planted

955Bombs defused

Most-used weapons

AK-4719,378

M4A4 / M4A1-S13,144

MAC-102,142

Glock-182,070

MP91,885

P2000 / USP-S1,876

AWP1,430

Desert Eagle1,179

Galil AR949

MAG-7590

Lifetime map wins

6,543dust2

5,215inferno

4,249nuke

1,830vertigo

412train

46office

29italy

7cbble

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

Faceit stats

Combat

128Matches

55%Win rate

1.25Avg K/D

76.3ADR

33%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	34	44%	1.03	14.7
Inferno	28	75%	1.52	18.1
Dust2	22	41%	1.35	15.5
Ancient	18	50%	1.08	15.6
Anubis	10	70%	1.48	15.6
Nuke	9	78%	1.44	17.8
Overpass	3	33%	0.75	10.0
Vertigo	2	0%	0.72	10.5

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.

11.5%Headshot accuracy

40.1%Accuracy (enemy spotted)

44.5%Spray accuracy

75.6%Counter-strafing

9.7°Preaim

514msReaction time

30.7%T opening success

27.2%CT opening success

0.50Enemies flashed / flash

5.2%Flash assists

7.19HE damage / grenade

14.08Flashes / 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 11.4923% — 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 0.4955 — 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 30.6914% — below the 40% mark we flag

Spend your practice time on Mirage

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	10–13	-0.01	24%	27 Aug →
inferno	4–13	-0.05	7%	27 Aug →
dust2	8–13	0.03	10%	27 Aug →
cache	8–13	0.09	6%	27 Aug →
dust2	13–2	0.21	18%	27 Aug →
dust2	12–6	-0.01	6%	26 Aug →
anubis	6–13	0.01	9%	26 Aug →
inferno	10–13	0.07	11%	25 Aug →
cache	9–13	0.02	5%	24 Aug →
dust2	5–13	0.02	7%	23 Aug →
ancient	1–9	-0.01	16%	23 Aug →
dust2	12–12	-0.01	19%	23 Aug →
mirage	6–13	0.04	10%	23 Aug →
anubis	10–13	-0.02	11%	22 Aug →
inferno	13–11	-0.05	7%	22 Aug →
vertigo	13–11	0.06	9%	22 Aug →
anubis	13–8	0.02	12%	21 Aug →
inferno	10–13	0.02	7%	20 Aug →
ancient	13–7	0.10	14%	20 Aug →
mirage	3–13	-0.06	8%	20 Aug →
ancient	13–5	0.15	11%	20 Aug →
dust2	13–2	0.11	18%	20 Aug →
nuke	13–7	0.16	9%	20 Aug →
ancient	13–9	0.12	15%	20 Aug →
vertigo	13–2	0.14	17%	19 Aug →
ancient	13–6	0.05	7%	19 Aug →
dust2	13–8	0.12	17%	19 Aug →
inferno	13–11	0.09	16%	19 Aug →
mirage	13–8	0.05	15%	19 Aug →
nuke	9–13	0.01	8%	19 Aug →
cache	13–6	0.16	15%	19 Aug →
nuke	10–13	0.02	8%	16 Aug →
mirage	7–13	-0.06	7%	16 Aug →
nuke	13–8	0.03	9%	15 Aug →
dust2	13–2	0.05	18%	15 Aug →
vertigo	13–10	-0.03	10%	15 Aug →
dust2	13–11	0.00	13%	14 Aug →
cache	13–11	-0.02	13%	14 Aug →
inferno	13–9	0.11	8%	14 Aug →
inferno	13–3	0.03	13%	12 Aug →
cache	8–13	0.04	5%	11 Aug →
nuke	16–14	-0.04	16%	11 Aug →
mirage	13–4	0.13	17%	9 Aug →
mirage	13–8	0.12	14%	9 Aug →
anubis	13–9	0.10	5%	9 Aug →
nuke	5–12	-0.03	10%	9 Aug →
nuke	13–11	0.01	13%	9 Aug →
dust2	13–8	0.05	8%	9 Aug →
cache	13–5	0.03	8%	9 Aug →
dust2	7–13	0.04	14%	9 Aug →
mirage	13–11	0.07	9%	6 Aug →
mirage	19–16	0.01	11%	6 Aug →
ancient	13–9	0.01	12%	1 Aug →
mirage	8–13	0.01	16%	1 Aug →
train	13–6	-0.00	8%	30 Jul →
vertigo	12–12	0.05	11%	30 Jul →
dust2	13–3	0.05	16%	30 Jul →
vertigo	10–13	0.00	11%	29 Jul →
dust2	7–13	-0.01	19%	29 Jul →
dust2	12–12	0.04	16%	29 Jul →
mirage	8–13	0.04	10%	29 Jul →
dust2	13–10	0.05	6%	29 Jul →
inferno	13–11	0.08	8%	29 Jul →
office	10–13	-0.02	16%	27 Jul →
dust2	13–9	0.06	7%	27 Jul →
nuke	8–13	0.09	13%	27 Jul →
inferno	7–13	0.05	18%	27 Jul →
vertigo	7–13	-0.01	5%	27 Jul →
dust2	8–13	0.05	12%	27 Jul →
nuke	13–9	0.06	11%	27 Jul →
anubis	4–0	0.03	25%	26 Jul →
dust2	1–13	-0.06	0%	26 Jul →
mirage	12–12	0.10	9%	24 Jul →
dust2	12–12	0.04	9%	24 Jul →
inferno	13–9	0.01	14%	22 Jul →
dust2	5–13	0.02	13%	22 Jul →
inferno	13–0	0.06	13%	22 Jul →
nuke	13–0	0.07	11%	22 Jul →
nuke	7–13	-0.00	8%	19 Jul →
inferno	13–5	-0.03	13%	19 Jul →
ancient	13–10	-0.04	8%	19 Jul →
dust2	13–6	0.20	6%	18 Jul →
ancient	13–8	0.06	5%	18 Jul →
anubis	2–13	-0.03	10%	18 Jul →
cache	1–13	-0.05	4%	18 Jul →
dust2	13–8	0.03	5%	18 Jul →
ancient	9–13	0.01	6%	17 Jul →
inferno	10–13	0.03	6%	17 Jul →
nuke	13–1	0.01	20%	17 Jul →
mirage	10–13	0.03	11%	17 Jul →
ancient	13–4	0.01	5%	16 Jul →
anubis	9–13	0.02	8%	15 Jul →
inferno	13–8	-0.02	11%	15 Jul →
ancient	3–13	0.04	12%	15 Jul →
inferno	11–13	0.02	9%	15 Jul →
cache	13–10	0.01	9%	15 Jul →
inferno	9–13	0.03	8%	15 Jul →
dust2	13–3	-0.01	14%	15 Jul →
ancient	8–13	-0.00	10%	14 Jul →
inferno	13–10	0.03	9%	14 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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

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