Garbageman — CS2 Stats

76561199434641419[U:1:1474375691]✓ No bans

2,259Tracked matches40%Win rate2023Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

Premier CS Rating18,410Purple band · top ~14.8% of ranked players (population est.)

CSDB Leaderboard#13503 of 26953 tracked

FaceitLevel 8 · 1,359 ELOTop 31.2% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning42

Utility64

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateLWLLLLWLLW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.0

Aggression5.1

Utility6.4

Positioning4.2

Opening Duels1.7

Clutch3.4

Effective flashesLimited 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 NiKo 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 577ms 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

Aim7.0

Positioning4.2

Utility6.4

Mechanics5.3

Opening Duels1.7

Win Impact1.7

Composite 5.0/10 (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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time565ms−14ms

first ⅓ avg 579ms → last ⅓ avg 565ms

Headshot accuracy15.8%+0.8%

first ⅓ avg 15.0% → last ⅓ avg 15.8%

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

0.12Best rating — cache 13–2

13–1Biggest win — nuke

4Longest win streak

5–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 64% over 25vertigoWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	25	16–9	64%	-0.00
nuke	C	24	10–14	42%	0.00
dust2	B	15	7–8	47%	-0.02
cache	C	13	5–8	38%	-0.00
inferno	D	12	4–8	33%	-0.02
vertigo	D	5	0–5	0%	-0.03
anubis	—	3	0–3	0%	-0.02
train	—	2	1–1	50%	-0.00
eldorado	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,220Matches

51%Win rate

1.05Avg K/D

82.9ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	273	56%	1.10	17.1
Dust2	225	49%	1.01	14.9
Nuke	212	58%	1.10	16.5
Inferno	163	48%	1.00	15.4
Mirage	107	36%	0.96	14.7
Anubis	67	37%	0.84	13.9
Vertigo	45	51%	1.06	15.2
Train	45	67%	1.18	16.1

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.

15.2%Headshot accuracy

38.5%Accuracy (enemy spotted)

41.8%Spray accuracy

73.7%Counter-strafing

10.5°Preaim

577msReaction time

32.9%T opening success

40.5%CT opening success

0.85Enemies flashed / flash

4.2%Flash assists

12.98HE damage / grenade

4.58Flashes / 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 32.8791% — below the 40% mark we flag

Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	-0.06	0%	28 Aug →
ancient	13–8	0.03	16%	28 Aug →
nuke	10–13	-0.04	11%	28 Aug →
ancient	6–13	-0.05	16%	28 Aug →
ancient	9–13	-0.00	15%	27 Aug →
inferno	2–13	-0.01	25%	24 Aug →
nuke	13–3	0.05	23%	24 Aug →
inferno	10–13	-0.02	14%	23 Aug →
inferno	1–13	-0.07	12%	21 Aug →
dust2	13–6	-0.06	11%	21 Aug →
nuke	7–13	-0.01	18%	21 Aug →
cache	2–13	-0.04	30%	21 Aug →
ancient	8–13	-0.08	7%	21 Aug →
nuke	13–8	-0.13	6%	21 Aug →
cache	9–13	-0.00	14%	21 Aug →
ancient	13–8	-0.05	14%	21 Aug →
cache	10–13	-0.03	13%	20 Aug →
ancient	13–4	0.07	11%	20 Aug →
ancient	13–4	-0.02	6%	19 Aug →
ancient	13–2	-0.01	14%	19 Aug →
dust2	8–13	-0.05	11%	18 Aug →
ancient	13–5	0.00	13%	18 Aug →
nuke	9–13	-0.00	11%	18 Aug →
ancient	4–13	0.01	16%	18 Aug →
inferno	13–2	-0.04	19%	18 Aug →
nuke	13–7	0.10	15%	18 Aug →
ancient	13–10	0.10	20%	14 Aug →
train	8–13	-0.03	25%	13 Aug →
dust2	5–13	-0.00	29%	13 Aug →
dust2	4–13	-0.03	35%	13 Aug →
train	13–5	0.03	19%	12 Aug →
nuke	13–9	-0.05	20%	12 Aug →
ancient	13–5	0.07	14%	11 Aug →
nuke	13–8	0.03	23%	11 Aug →
vertigo	11–13	-0.06	7%	11 Aug →
ancient	13–6	0.11	14%	11 Aug →
inferno	11–13	-0.06	15%	11 Aug →
nuke	16–14	-0.01	8%	11 Aug →
anubis	10–13	-0.09	12%	11 Aug →
dust2	13–7	0.03	13%	10 Aug →
ancient	13–11	-0.01	11%	8 Aug →
vertigo	7–13	-0.03	19%	2 Aug →
vertigo	11–13	0.03	22%	2 Aug →
vertigo	9–13	-0.04	16%	1 Aug →
vertigo	4–13	-0.06	14%	1 Aug →
ancient	19–16	-0.00	23%	1 Aug →
nuke	3–13	-0.05	3%	31 Jul →
dust2	5–13	-0.04	20%	31 Jul →
ancient	13–8	0.06	10%	31 Jul →
cache	10–13	-0.04	10%	30 Jul →
nuke	8–13	-0.05	9%	25 Jul →
dust2	5–13	-0.10	21%	25 Jul →
inferno	13–9	0.04	14%	25 Jul →
anubis	5–13	-0.01	23%	25 Jul →
nuke	14–16	0.07	16%	25 Jul →
dust2	13–7	-0.03	18%	25 Jul →
nuke	13–1	0.03	20%	25 Jul →
cache	13–16	-0.00	15%	25 Jul →
anubis	7–13	0.03	8%	25 Jul →
dust2	13–10	-0.00	20%	24 Jul →
nuke	7–13	-0.09	10%	23 Jul →
ancient	9–13	0.01	16%	23 Jul →
cache	13–6	-0.04	5%	23 Jul →
ancient	13–9	-0.05	13%	23 Jul →
ancient	13–5	-0.07	6%	23 Jul →
inferno	11–13	-0.03	10%	23 Jul →
eldorado	9–2	0.03	9%	23 Jul →
nuke	11–13	0.03	15%	22 Jul →
dust2	11–13	-0.02	17%	22 Jul →
ancient	13–11	-0.04	17%	22 Jul →
nuke	23–25	0.01	14%	22 Jul →
nuke	8–13	0.01	15%	22 Jul →
dust2	13–5	0.10	12%	18 Jul →
nuke	3–13	-0.01	19%	18 Jul →
ancient	13–11	0.05	17%	18 Jul →
nuke	13–8	0.07	16%	14 Jul →
inferno	7–13	-0.01	17%	14 Jul →
cache	13–5	0.03	11%	14 Jul →
cache	13–8	0.02	11%	14 Jul →
cache	9–13	-0.00	20%	14 Jul →
cache	13–10	0.08	38%	14 Jul →
nuke	13–11	0.02	23%	14 Jul →
ancient	8–13	-0.03	11%	14 Jul →
dust2	9–13	-0.07	12%	14 Jul →
ancient	3–13	-0.05	15%	13 Jul →
cache	13–2	0.12	16%	13 Jul →
dust2	13–6	0.06	21%	13 Jul →
nuke	13–3	-0.02	14%	13 Jul →
inferno	3–13	-0.04	19%	13 Jul →
nuke	7–13	0.05	11%	13 Jul →
inferno	13–9	0.06	16%	13 Jul →
dust2	13–10	0.01	10%	13 Jul →
nuke	15–15	0.00	11%	13 Jul →
ancient	10–13	-0.04	16%	12 Jul →
cache	15–15	-0.01	9%	12 Jul →
ancient	6–13	-0.03	7%	12 Jul →
inferno	4–13	-0.02	10%	12 Jul →
cache	5–13	-0.07	12%	12 Jul →
nuke	11–13	0.03	12%	12 Jul →
inferno	16–13	-0.03	12%	12 Jul →