cPt. h0llyw00d — CS2 Stats

NO76561197998242071[U:1:37976343]Steam profile ↗

620Tracked matches37%Win rate2020Tracked since

1,161Hours in CS

CSDB Rating4.9 DevelopingHybrid Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning42

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateLLLWLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

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

Aim7.7

Aggression5.8

Utility4.8

Positioning4.2

Opening Duels1.2

Clutch4.0

Limited 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 86% playstyle similarity

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

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Reaction time. 636ms 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

Aim7.7

Positioning4.2

Utility4.8

Mechanics5.7

Opening Duels1.2

Win Impact0.6

Composite 4.9/10 (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-0.02−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time631ms+17ms

first ⅓ avg 614ms → last ⅓ avg 631ms

Headshot accuracy27.7%+3.3%

first ⅓ avg 24.4% → last ⅓ avg 27.7%

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 — nuke 10–13

13–1Biggest win — overpass

11Longest win streak

L3Current streak

10–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

overpassBest map · 60% over 10mirageWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	26	14–12	54%	0.01
anubis	B	17	9–8	53%	-0.01
ancient	A	17	10–7	59%	-0.01
mirage	D	14	3–11	21%	-0.02
dust2	C	12	5–7	42%	-0.00
overpass	A	10	6–4	60%	-0.01
nuke	—	2	0–2	0%	0.03
cache	—	2	0–2	0%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,231Lifetime kills

0.93K/D

2,406Matches

45.2%Match win rate

44.7%Headshot %

14.4%Shot accuracy · Top 50% of tracked players

4,848MVPs

1,161Hours (in match)

3,235Bombs planted

501Bombs defused

Most-used weapons

AK-4712,208

M4A4 / M4A1-S7,759

AWP7,638

P2000 / USP-S2,458

Desert Eagle1,946

Glock-181,587

P2501,057

Tec-9970

FAMAS784

MP7770

Lifetime map wins

4,802inferno

4,465dust2

3,710cbble

519nuke

449train

128vertigo

101office

62lake

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

Faceit stats

Combat

125Matches

53%Win rate

1.03Avg K/D

67.0ADR

46%Headshot %

Clutches & streaks

40%1v1 clutch win

11%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	26	73%	1.21	14.7
Anubis	21	52%	1.05	12.8
Dust2	18	56%	1.12	12.3
Mirage	12	8%	0.70	11.8
Inferno	9	22%	0.78	13.3
Vertigo	2	50%	0.49	7.0
Train	1	0%	0.62	10.0

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.

27.7%Headshot accuracy

34.9%Accuracy (enemy spotted)

42.8%Spray accuracy

75.8%Counter-strafing

10.4°Preaim

636msReaction time

33.1%T opening success

36.4%CT opening success

0.48Enemies flashed / flash

6.0%Flash assists

14.32HE damage / grenade

3.30Flashes / 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.

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 0.4752 — 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 33.0628% — 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.

21% win rate across 14 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
inferno	11–13	-0.03	47%	23 Jun →
mirage	8–13	-0.03	20%	10 Jun →
inferno	11–13	0.02	46%	10 Jun →
overpass	13–6	0.01	33%	7 Jun →
mirage	9–13	0.02	26%	6 Jun →
overpass	13–1	0.06	25%	6 Jun →
anubis	13–8	0.03	27%	6 Jun →
ancient	6–13	-0.00	21%	3 Jun →
inferno	13–6	0.09	37%	2 Jun →
anubis	16–14	-0.02	25%	1 Jun →
mirage	7–13	-0.03	12%	31 May →
nuke	10–13	-0.08	14%	31 May →
ancient	13–16	-0.00	20%	28 May →
anubis	16–13	0.00	26%	20 May →
inferno	8–13	-0.04	25%	20 May →
inferno	13–16	-0.02	34%	18 May →
ancient	13–4	-0.04	17%	18 May →
anubis	9–13	-0.04	27%	17 May →
ancient	13–11	-0.03	39%	17 May →
mirage	8–13	0.01	30%	17 May →
overpass	13–4	-0.05	20%	17 May →
dust2	7–13	0.01	41%	13 May →
ancient	13–16	-0.10	15%	13 May →
inferno	13–2	0.02	19%	10 May →
inferno	8–13	-0.08	20%	9 May →
dust2	7–13	-0.01	24%	9 May →
cache	8–13	-0.04	19%	9 May →
inferno	9–13	-0.05	43%	5 May →
ancient	16–13	0.01	39%	5 May →
mirage	7–13	-0.03	29%	5 May →
cache	3–13	-0.06	29%	4 May →
anubis	10–13	-0.05	27%	3 May →
inferno	13–10	-0.03	35%	3 May →
anubis	13–11	-0.00	30%	3 May →
inferno	14–16	0.05	29%	2 May →
ancient	16–13	-0.07	33%	2 May →
dust2	11–13	-0.04	27%	1 May →
mirage	13–11	0.02	24%	1 May →
inferno	13–11	0.04	24%	1 May →
anubis	13–10	0.01	32%	1 May →
anubis	14–16	-0.06	27%	30 Apr →
inferno	13–1	-0.03	17%	30 Apr →
anubis	8–13	0.01	19%	29 Apr →
ancient	13–5	0.07	28%	29 Apr →
inferno	7–13	-0.05	26%	26 Apr →
anubis	13–6	0.02	30%	26 Apr →
overpass	3–13	-0.07	25%	25 Apr →
dust2	2–13	-0.08	32%	25 Apr →
mirage	11–13	-0.08	25%	25 Apr →
overpass	13–10	-0.05	16%	25 Apr →
mirage	13–7	0.03	13%	24 Apr →
dust2	9–13	-0.08	13%	24 Apr →
anubis	7–13	-0.05	23%	24 Apr →
anubis	11–13	0.00	19%	23 Apr →
overpass	8–13	-0.06	26%	21 Apr →
ancient	13–5	-0.01	27%	21 Apr →
mirage	11–13	-0.06	28%	21 Apr →
overpass	9–13	-0.02	21%	19 Apr →
mirage	11–13	0.00	23%	19 Apr →
ancient	7–13	-0.04	19%	18 Apr →
dust2	4–13	-0.12	29%	18 Apr →
anubis	10–13	-0.03	17%	18 Apr →
inferno	13–7	0.03	33%	18 Apr →
mirage	13–10	-0.04	30%	18 Apr →
mirage	11–13	-0.01	19%	17 Apr →
anubis	13–2	-0.03	23%	17 Apr →
overpass	13–6	0.03	33%	17 Apr →
dust2	13–8	0.02	19%	17 Apr →
inferno	13–9	0.02	33%	16 Apr →
inferno	10–13	0.02	44%	15 Apr →
ancient	13–10	0.01	22%	15 Apr →
anubis	13–10	-0.05	21%	13 Apr →
overpass	8–13	0.02	31%	12 Apr →
ancient	10–13	0.04	21%	12 Apr →
mirage	13–16	-0.04	16%	11 Apr →
anubis	11–13	-0.03	33%	9 Apr →
inferno	13–10	-0.06	34%	9 Apr →
inferno	6–13	-0.01	28%	5 Apr →
ancient	13–9	0.00	21%	4 Apr →
overpass	13–6	0.03	17%	4 Apr →
ancient	13–11	-0.05	19%	4 Apr →
anubis	13–11	0.04	17%	4 Apr →
inferno	13–4	0.08	39%	2 Apr →
inferno	13–11	0.03	17%	2 Apr →
inferno	8–1	0.10	8%	2 Apr →
dust2	13–10	0.03	14%	30 Mar →
ancient	13–9	0.08	36%	30 Mar →
inferno	13–4	0.10	25%	30 Mar →
dust2	13–5	0.13	19%	27 Mar →
inferno	9–13	-0.04	28%	27 Mar →
dust2	13–11	0.11	17%	25 Mar →
dust2	13–5	0.02	30%	21 Mar →
ancient	9–13	-0.03	11%	21 Mar →
mirage	10–13	-0.01	31%	21 Mar →
inferno	13–9	-0.01	21%	18 Mar →
ancient	4–13	0.01	28%	15 Mar →
inferno	13–11	0.06	18%	15 Mar →
nuke	10–13	0.15	33%	15 Mar →
dust2	10–13	-0.03	30%	13 Mar →
inferno	6–13	0.02	22%	13 Mar →