Licensed_Nooblet — CS2 Stats

US76561198066775246[U:1:106509518]Steam profile ↗✓ No bans

679Tracked matches57%Win rate2020Tracked since

CSDB Rating7.2 StrongHybrid Rifler

Premier CS Rating19,236Purple band · top ~11.5% of ranked players (population est.)

CSDB Leaderboard#9931 of 20799 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning61

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateWWWLWTLLLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim8.8

Aggression5.9

Utility6.6

Positioning6.1

Opening Duels3.1

Sharp aimerExcellent counter-strafingStrong 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 NiKo 94% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 50% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.8

Positioning6.1

Utility6.6

Mechanics8.5

Opening Duels3.1

Win Impact7.4

Composite 7.2/10 (Strong), 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 -0.01 → last ⅓ avg 0.01

Reaction time556ms−48ms

first ⅓ avg 604ms → last ⅓ avg 556ms

Headshot accuracy15.1%−2.6%

first ⅓ avg 17.7% → last ⅓ avg 15.1%

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

0.10Best rating — mirage 13–10

13–0Biggest win — vertigo

5Longest win streak

W3Current streak

7–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 67% over 12mirageWeakest map · 33% over 24

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	24	8–16	33%	-0.01
cache	B	23	11–12	48%	0.01
inferno	C	13	5–8	38%	-0.00
nuke	S	12	8–4	67%	0.01
anubis	A	9	5–4	56%	0.01
ancient	—	4	0–4	0%	0.00
dust2	—	4	1–3	25%	0.02
vertigo	—	4	2–2	50%	0.01
overpass	—	4	3–1	75%	0.04
train	—	2	1–1	50%	-0.01
office	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.0%Headshot accuracy

43.0%Accuracy (enemy spotted)

50.5%Spray accuracy

88.3%Counter-strafing

10.6°Preaim

559msReaction time

34.8%T opening success

50.2%CT opening success

0.65Enemies flashed / flash

7.3%Flash assists

11.60HE damage / grenade

5.61Flashes / 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 14.9848% — 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 34.8043% — 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.

33% win rate across 24 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
mirage	13–5	0.04	26%	29 Aug →
cache	13–5	0.04	25%	26 Aug →
cache	13–9	0.03	21%	26 Aug →
cache	8–13	-0.00	12%	26 Aug →
mirage	13–4	0.03	10%	25 Aug →
inferno	12–12	0.00	13%	24 Aug →
mirage	10–13	0.05	20%	24 Aug →
ancient	14–16	0.01	8%	24 Aug →
train	6–13	-0.07	17%	13 Aug →
cache	11–13	0.06	9%	13 Aug →
anubis	11–13	-0.04	14%	10 Aug →
dust2	7–13	0.00	13%	10 Aug →
nuke	13–6	0.08	23%	8 Aug →
inferno	8–13	-0.09	7%	6 Aug →
anubis	13–5	0.06	7%	5 Aug →
nuke	10–13	-0.06	11%	3 Aug →
mirage	13–11	0.00	19%	3 Aug →
vertigo	8–13	0.02	18%	29 Jul →
vertigo	13–8	0.01	13%	29 Jul →
vertigo	7–13	-0.02	7%	29 Jul →
nuke	13–8	0.03	7%	28 Jul →
vertigo	13–0	0.04	6%	25 Jul →
train	13–10	0.05	21%	25 Jul →
cache	15–15	0.02	16%	24 Jul →
anubis	13–1	0.04	17%	24 Jul →
anubis	16–13	0.05	22%	22 Jul →
anubis	13–7	0.01	10%	22 Jul →
inferno	13–3	0.06	19%	18 Jul →
nuke	13–9	0.08	19%	18 Jul →
mirage	2–13	-0.04	19%	18 Jul →
anubis	13–4	0.02	19%	18 Jul →
cache	13–7	-0.04	9%	18 Jul →
nuke	16–14	-0.02	21%	17 Jul →
cache	11–13	-0.00	24%	17 Jul →
ancient	7–13	0.04	24%	17 Jul →
inferno	4–13	-0.10	10%	17 Jul →
cache	11–13	-0.03	10%	16 Jul →
mirage	13–10	0.10	22%	16 Jul →
nuke	10–13	-0.01	15%	16 Jul →
mirage	9–13	-0.01	19%	14 Jul →
inferno	8–13	0.05	23%	14 Jul →
mirage	9–13	-0.00	28%	13 Jul →
dust2	13–9	0.05	21%	12 Jul →
inferno	14–16	-0.01	17%	12 Jul →
mirage	7–13	-0.05	23%	11 Jul →
nuke	5–4	0.04	27%	11 Jul →
cache	13–11	0.04	11%	11 Jul →
inferno	10–13	-0.04	16%	9 Jul →
inferno	6–13	-0.01	15%	8 Jul →
overpass	13–8	0.09	20%	25 Jun →
mirage	3–13	-0.06	26%	23 Jun →
cache	13–8	-0.00	11%	23 Jun →
ancient	7–13	0.01	17%	21 Jun →
mirage	6–13	-0.03	13%	18 Jun →
mirage	6–13	-0.02	14%	16 Jun →
dust2	11–13	0.02	20%	16 Jun →
overpass	13–5	0.06	14%	13 Jun →
cache	7–13	0.00	28%	13 Jun →
inferno	16–14	-0.02	19%	12 Jun →
mirage	8–13	-0.03	16%	12 Jun →
nuke	4–13	-0.08	26%	10 Jun →
inferno	13–4	0.08	16%	9 Jun →
mirage	9–13	0.04	12%	9 Jun →
cache	13–8	0.08	20%	3 Jun →
overpass	13–8	0.07	16%	3 Jun →
anubis	5–13	-0.07	10%	2 Jun →
overpass	10–13	-0.06	19%	1 Jun →
ancient	12–12	-0.06	9%	1 Jun →
dust2	7–13	0.01	23%	27 May →
mirage	13–6	0.08	17%	27 May →
nuke	13–3	0.05	15%	27 May →
mirage	8–13	-0.06	15%	21 May →
cache	0–13	-0.06	17%	20 May →
mirage	7–13	-0.02	21%	20 May →
inferno	13–8	0.02	28%	20 May →
mirage	7–13	-0.02	23%	20 May →
cache	13–11	-0.04	15%	18 May →
inferno	6–13	-0.04	19%	15 May →
cache	13–4	0.03	4%	15 May →
mirage	13–10	-0.03	12%	15 May →
anubis	6–13	0.00	20%	14 May →
mirage	13–8	-0.02	21%	13 May →
nuke	15–15	-0.07	18%	13 May →
mirage	12–12	0.01	20%	13 May →
cache	3–13	0.05	17%	13 May →
mirage	2–13	-0.02	21%	13 May →
nuke	13–6	0.06	22%	12 May →
nuke	13–11	-0.00	21%	12 May →
cache	8–13	-0.01	18%	11 May →
cache	13–6	0.03	20%	10 May →
mirage	11–13	-0.07	13%	7 May →
office	13–10	-0.01	19%	6 May →
cache	10–13	0.02	29%	2 May →
inferno	13–9	0.05	35%	2 May →
cache	13–4	0.06	14%	2 May →
cache	11–13	0.03	9%	30 Apr →
anubis	15–15	-0.01	10%	30 Apr →
mirage	13–6	-0.05	10%	30 Apr →
cache	13–10	-0.06	7%	29 Apr →
cache	8–13	-0.02	23%	29 Apr →