DaddyBigBucks — CS2 Stats

76561198048185910[U:1:87920182]

1,014Tracked matches43%Win rate2021Tracked since

1,796Hours in CS

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating17,445Purple band · top ~18.7% of ranked players (population est.)

CSDB Leaderboard#9760 of 17308 tracked

FaceitLevel 4 · 904 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning46

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLLLLWWWLWL

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

Player DNA

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

Aim6.9

Aggression6.2

Utility4.5

Positioning4.6

Opening Duels1.7

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 Twistzz 86% playstyle similarity

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

Where you differ: lower aim profile; 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

Areas to improve

Reaction time. 559ms 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

Aim6.9

Positioning4.6

Utility4.5

Mechanics6.6

Opening Duels1.7

Win Impact2.8

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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time560ms−33ms

first ⅓ avg 593ms → last ⅓ avg 560ms

Headshot accuracy14.4%−3.1%

first ⅓ avg 17.4% → last ⅓ avg 14.4%

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

0.15Best rating — overpass 11–13

13–0Biggest win — ancient

8Longest win streak

L4Current streak

15–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 83% over 6anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	15–13	54%	0.02
ancient	S	17	11–6	65%	0.02
nuke	A	16	9–7	56%	0.02
cache	B	11	5–6	45%	-0.01
anubis	D	9	3–6	33%	-0.00
inferno	C	8	3–5	38%	0.00
mirage	S	6	5–1	83%	-0.00
overpass	—	2	0–2	0%	0.06
fachwerk	—	1	1–0	100%	0.03
vertigo	—	1	0–1	0%	0.01
office	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,354Lifetime kills

1.18K/D · Top 25% of tracked players

4,042Matches

46.0%Match win rate

42.8%Headshot %

12.0%Shot accuracy

8,256MVPs

1,796Hours (in match)

3,059Bombs planted

846Bombs defused

Most-used weapons

AK-4733,889

M4A4 / M4A1-S14,177

AWP6,590

P2000 / USP-S3,928

Glock-182,992

FAMAS2,433

Desert Eagle2,188

P902,186

MAC-102,065

MP91,942

Lifetime map wins

17,391dust2

5,580inferno

3,164nuke

813train

261office

200cbble

149vertigo

17lake

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

Faceit stats

Combat

46Matches

39%Win rate

0.97Avg K/D

75.2ADR

46%Headshot %

Clutches & streaks

11%1v1 clutch win

21%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	13	38%	1.20	13.3
Inferno	10	30%	0.74	15.1
Mirage	10	50%	1.09	16.8
Ancient	9	56%	0.89	11.9
Nuke	2	0%	0.56	9.0
Train	2	0%	0.68	11.0

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.

14.6%Headshot accuracy

35.4%Accuracy (enemy spotted)

40.6%Spray accuracy

79.7%Counter-strafing

10.5°Preaim

559msReaction time

35.9%T opening success

37.6%CT opening success

0.64Enemies flashed / flash

7.3%Flash assists

5.51HE damage / grenade

5.36Flashes / 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 14.5582% — 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 35.9434% — 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.

33% win rate across 9 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
ancient	13–16	-0.03	11%	26 Aug →
dust2	8–13	0.03	10%	26 Aug →
anubis	6–13	0.01	18%	26 Aug →
cache	11–13	-0.03	21%	26 Aug →
nuke	13–11	-0.04	11%	26 Aug →
anubis	16–14	0.02	18%	23 Aug →
fachwerk	13–2	0.03	12%	23 Aug →
vertigo	7–13	0.01	20%	23 Aug →
office	6–0	0.08	35%	23 Aug →
ancient	13–16	0.02	10%	22 Aug →
dust2	13–11	0.01	16%	22 Aug →
ancient	13–5	0.01	10%	22 Aug →
anubis	10–13	0.02	9%	22 Aug →
inferno	5–13	-0.05	13%	22 Aug →
anubis	11–13	-0.02	12%	20 Aug →
mirage	13–11	-0.02	12%	20 Aug →
ancient	13–2	0.09	9%	20 Aug →
cache	11–13	0.00	15%	20 Aug →
cache	16–12	0.01	17%	20 Aug →
anubis	7–13	-0.02	19%	20 Aug →
dust2	11–13	0.05	17%	20 Aug →
nuke	13–16	0.03	18%	20 Aug →
dust2	13–8	0.05	19%	20 Aug →
mirage	13–9	-0.01	12%	20 Aug →
nuke	2–13	-0.06	17%	20 Aug →
dust2	11–10	0.04	11%	20 Aug →
dust2	13–3	0.08	27%	20 Aug →
mirage	11–13	0.00	11%	20 Aug →
cache	9–13	0.01	12%	20 Aug →
dust2	3–13	-0.07	9%	19 Aug →
dust2	13–10	0.00	8%	19 Aug →
ancient	13–9	-0.02	8%	19 Aug →
ancient	13–10	-0.03	6%	19 Aug →
nuke	13–10	0.06	14%	19 Aug →
dust2	13–10	-0.01	16%	19 Aug →
dust2	13–8	0.01	19%	19 Aug →
dust2	13–5	0.05	14%	19 Aug →
ancient	13–5	0.05	15%	19 Aug →
dust2	10–13	-0.04	11%	19 Aug →
nuke	13–11	0.05	14%	19 Aug →
inferno	13–11	0.05	17%	19 Aug →
nuke	7–13	-0.05	18%	19 Aug →
dust2	13–11	0.06	15%	19 Aug →
ancient	2–0	0.09	25%	19 Aug →
nuke	7–13	-0.02	21%	19 Aug →
mirage	13–11	-0.07	16%	17 Aug →
dust2	9–13	-0.01	19%	17 Aug →
ancient	13–11	0.02	25%	17 Aug →
anubis	14–16	-0.07	10%	17 Aug →
ancient	3–13	-0.08	23%	17 Aug →
dust2	13–9	0.00	20%	17 Aug →
nuke	13–5	-0.01	18%	17 Aug →
dust2	13–10	-0.03	20%	16 Aug →
anubis	13–6	0.00	8%	16 Aug →
nuke	12–16	-0.01	21%	4 Aug →
nuke	13–11	0.02	26%	4 Aug →
cache	8–13	-0.06	22%	4 Aug →
dust2	13–7	0.07	12%	18 Jul →
cache	13–10	-0.02	13%	18 Jul →
mirage	13–9	0.04	8%	18 Jul →
cache	15–15	0.00	14%	17 Jul →
inferno	3–13	0.02	14%	15 Jul →
dust2	13–8	0.06	23%	15 Jul →
ancient	13–10	0.03	9%	14 Jul →
cache	16–13	-0.06	16%	14 Jul →
mirage	13–11	0.04	15%	14 Jul →
inferno	9–13	-0.00	16%	11 Jul →
ancient	13–6	0.04	23%	11 Jul →
ancient	13–0	0.08	24%	11 Jul →
cache	2–13	-0.09	16%	11 Jul →
nuke	11–13	-0.04	17%	11 Jul →
ancient	3–13	0.02	20%	11 Jul →
ancient	5–13	-0.03	12%	10 Jul →
nuke	13–8	0.08	13%	10 Jul →
dust2	8–13	0.03	22%	10 Jul →
dust2	7–13	0.03	17%	9 Jul →
ancient	15–15	0.07	17%	9 Jul →
dust2	6–13	-0.07	6%	9 Jul →
dust2	11–13	-0.04	17%	9 Jul →
cache	13–6	0.08	21%	9 Jul →
cache	13–5	0.00	18%	9 Jul →
nuke	10–13	0.01	20%	6 Jul →
nuke	13–4	0.07	19%	6 Jul →
nuke	16–14	0.11	19%	5 Jul →
dust2	7–13	0.14	25%	5 Jul →
overpass	11–13	0.15	14%	5 Jul →
anubis	2–13	-0.05	17%	5 Jul →
inferno	5–13	-0.02	24%	5 Jul →
inferno	15–15	0.03	7%	5 Jul →
anubis	13–9	0.09	18%	5 Jul →
ancient	13–11	0.10	15%	5 Jul →
dust2	13–6	0.09	16%	5 Jul →
nuke	10–1	0.05	25%	5 Jul →
dust2	13–3	0.14	24%	5 Jul →
inferno	13–9	0.04	18%	5 Jul →
dust2	7–13	0.00	22%	5 Jul →
dust2	4–13	-0.01	8%	5 Jul →
overpass	2–13	-0.02	17%	5 Jul →
dust2	8–13	-0.01	15%	5 Jul →
inferno	13–8	-0.02	10%	5 Jul →