catboy psychosis — CS2 Stats

US76561198814124073[U:1:853858345]Steam profile ↗✓ No bans

475Tracked matches57%Win rate2025Tracked since

1,019Hours in CS49Hrs last 2 wks

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating13,497Blue band · top ~36.4% of ranked players (population est.)

CSDB Leaderboard#13559 of 19955 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning60

Utility46

0–100 skill scores via Leetify.

Recent form

HOT49–45–6Last 10049%Win rateWWWLWWWWWL

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

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

Aim6.2

Aggression7.0

Utility4.6

Positioning6.0

Opening Duels3.9

Clutch3.2

Strong CT-side opener

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 90% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

T-side openings. Opening success drops from 59% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms 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

Aim6.2

Positioning6.0

Utility4.6

Mechanics5.6

Opening Duels3.9

Win Impact7.4

Composite 5.4/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time553ms−40ms

first ⅓ avg 593ms → last ⅓ avg 553ms

Headshot accuracy18.5%+3.0%

first ⅓ avg 15.4% → last ⅓ avg 18.5%

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 — ancient 13–3

13–0Biggest win — nuke

5Longest win streak

W3Current streak

2–3In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 69% over 16infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	20	7–13	35%	0.02
dust2	C	19	8–11	42%	-0.00
mirage	S	16	11–5	69%	0.02
ancient	S	12	8–4	67%	0.03
cache	B	8	4–4	50%	-0.01
inferno	D	7	1–6	14%	-0.08
anubis	S	6	4–2	67%	0.03
vertigo	B	6	3–3	50%	0.05
train	—	2	1–1	50%	0.06
shelter	—	2	0–2	0%	0.00
office	—	1	1–0	100%	0.05
fachwerk	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,895Lifetime kills

1.08K/D · Top 50% of tracked players

949Matches

45.7%Match win rate

47.0%Headshot % · Top 50% of tracked players

2.4%Shot accuracy

2,472MVPs

318Hours (in match)

1,048Bombs planted

293Bombs defused

Most-used weapons

AK-475,232

M4A4 / M4A1-S3,746

AWP1,008

P2000 / USP-S881

Glock-18685

Desert Eagle633

FAMAS375

MP7354

SG 553346

Galil AR279

Lifetime map wins

2,021dust2

1,353nuke

827inferno

473vertigo

164train

146office

79cbble

75italy

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

Faceit stats

Combat

13Matches

23%Win rate

0.92Avg K/D

78.8ADR

53%Headshot %

Clutches & streaks

36%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	17%	0.86	13.2
Nuke	2	0%	0.80	16.0
Ancient	2	50%	0.98	12.0
Inferno	2	50%	1.04	14.0
Vertigo	1	0%	1.19	19.0

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.

18.6%Headshot accuracy

31.2%Accuracy (enemy spotted)

33.5%Spray accuracy

75.0%Counter-strafing

9.9°Preaim

550msReaction time

31.8%T opening success

59.2%CT opening success

0.63Enemies flashed / flash

8.3%Flash assists

5.59HE damage / grenade

5.02Flashes / 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 31.7914% — below the 40% mark we flag

Spend your practice time on Inferno

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–9	0.03	20%	23 Aug →
anubis	13–4	0.05	21%	23 Aug →
dust2	13–7	-0.06	20%	23 Aug →
inferno	8–13	-0.06	16%	23 Aug →
ancient	13–4	0.01	17%	23 Aug →
anubis	13–2	0.04	20%	22 Aug →
nuke	13–10	0.03	16%	21 Aug →
mirage	13–4	0.07	33%	21 Aug →
mirage	13–10	0.07	26%	21 Aug →
dust2	7–13	-0.07	18%	21 Aug →
ancient	13–3	0.04	11%	21 Aug →
ancient	13–6	-0.00	24%	20 Aug →
mirage	4–13	-0.01	15%	19 Aug →
dust2	9–13	-0.00	23%	18 Aug →
nuke	13–0	0.07	13%	18 Aug →
dust2	5–13	-0.02	31%	18 Aug →
mirage	13–6	0.05	17%	16 Aug →
ancient	12–12	-0.03	22%	16 Aug →
nuke	13–11	0.13	14%	15 Aug →
train	9–13	0.04	21%	15 Aug →
train	13–5	0.08	19%	15 Aug →
mirage	15–15	0.05	18%	13 Aug →
inferno	10–13	0.01	15%	12 Aug →
ancient	13–3	0.04	6%	12 Aug →
vertigo	7–13	0.02	12%	10 Aug →
nuke	11–13	-0.04	18%	9 Aug →
mirage	10–13	-0.02	21%	9 Aug →
ancient	7–13	-0.02	17%	9 Aug →
inferno	3–13	-0.05	20%	9 Aug →
mirage	13–9	0.00	13%	9 Aug →
nuke	10–13	-0.02	17%	9 Aug →
mirage	13–8	-0.04	16%	9 Aug →
ancient	3–13	-0.04	18%	8 Aug →
dust2	13–7	0.04	19%	8 Aug →
nuke	13–5	-0.02	32%	8 Aug →
mirage	13–10	-0.01	15%	8 Aug →
cache	6–13	0.02	25%	4 Aug →
vertigo	6–13	0.01	23%	3 Aug →
vertigo	9–4	0.14	15%	3 Aug →
vertigo	7–13	0.16	21%	3 Aug →
dust2	13–9	0.08	13%	1 Aug →
nuke	15–15	0.10	16%	1 Aug →
dust2	4–13	-0.06	21%	1 Aug →
ancient	6–13	0.03	15%	30 Jul →
inferno	4–9	-0.08	10%	29 Jul →
mirage	13–7	-0.07	14%	29 Jul →
cache	13–7	0.06	15%	29 Jul →
mirage	13–6	0.10	22%	29 Jul →
inferno	13–1	0.02	13%	29 Jul →
nuke	10–13	0.01	20%	29 Jul →
nuke	13–3	0.15	23%	29 Jul →
mirage	13–10	0.06	15%	29 Jul →
office	13–10	0.05	11%	28 Jul →
anubis	13–9	0.09	15%	27 Jul →
anubis	3–13	-0.08	18%	27 Jul →
anubis	13–1	0.10	16%	27 Jul →
mirage	5–13	-0.02	13%	26 Jul →
nuke	12–12	0.06	18%	26 Jul →
nuke	5–13	-0.06	10%	24 Jul →
shelter	7–13	0.14	30%	24 Jul →
dust2	10–13	-0.08	7%	24 Jul →
vertigo	13–0	-0.01	24%	24 Jul →
cache	11–13	-0.05	16%	24 Jul →
vertigo	13–3	-0.02	8%	24 Jul →
fachwerk	11–2	0.02	2%	24 Jul →
shelter	1–13	-0.13	8%	24 Jul →
nuke	13–16	0.03	20%	23 Jul →
nuke	0–11	-0.04	11%	23 Jul →
cache	13–5	-0.06	17%	23 Jul →
inferno	0–9	-0.20	25%	22 Jul →
cache	6–13	-0.05	21%	22 Jul →
dust2	13–8	0.04	12%	22 Jul →
dust2	4–13	0.05	9%	22 Jul →
cache	13–10	0.01	14%	21 Jul →
nuke	13–6	0.15	19%	21 Jul →
dust2	13–5	0.04	14%	20 Jul →
nuke	12–12	-0.03	10%	20 Jul →
nuke	10–13	-0.04	20%	20 Jul →
cache	12–12	-0.06	14%	20 Jul →
dust2	13–7	0.00	23%	20 Jul →
dust2	5–13	0.06	27%	20 Jul →
ancient	13–10	0.05	9%	19 Jul →
ancient	13–3	0.21	17%	19 Jul →
anubis	0–3	-0.05	0%	19 Jul →
dust2	13–0	0.06	15%	19 Jul →
ancient	13–3	0.04	21%	19 Jul →
cache	13–3	0.02	17%	19 Jul →
mirage	16–13	0.03	18%	19 Jul →
nuke	3–13	0.00	7%	19 Jul →
mirage	13–11	0.06	16%	19 Jul →
dust2	11–13	0.00	16%	18 Jul →
inferno	2–9	-0.17	8%	18 Jul →
dust2	10–13	0.03	15%	18 Jul →
nuke	13–5	0.12	19%	17 Jul →
dust2	13–9	-0.00	13%	17 Jul →
nuke	3–13	-0.14	23%	16 Jul →
dust2	3–13	-0.09	12%	16 Jul →
mirage	12–16	-0.02	14%	14 Jul →
nuke	6–13	0.02	14%	13 Jul →
dust2	8–13	-0.01	20%	13 Jul →