Noot Noot シ — CS2 Stats

UY76561199137160921[U:1:1176895193]Steam profile ↗✓ No bans

900Tracked matches57%Win rate2021Tracked since

1,455Hours in CS20Hrs last 2 wks

CSDB Rating6.0 SolidHybrid Rifler

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim93

Positioning39

Utility30

0–100 skill scores via Leetify.

Recent form

STEADY40–51–9Last 10040%Win rateLWLWLTWWLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim9.3

Aggression5.7

Utility3.0

Positioning3.9

Opening Duels1.3

Clutch6.0

Sharp aimer

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: aim profile, opening-duel success.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 54 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.3

Positioning3.9

Utility3.0

Mechanics7.6

Opening Duels1.3

Win Impact7.4

Composite 6.0/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time506ms−80ms

first ⅓ avg 586ms → last ⅓ avg 506ms

Headshot accuracy24.1%+3.4%

first ⅓ avg 20.7% → last ⅓ avg 24.1%

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

0.21Best rating — alpine 3–0

13–0Biggest win — boulder

5Longest win streak

5–4In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 60% over 10trainWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	17	10–7	59%	0.01
cache	C	13	5–8	38%	0.00
inferno	B	11	5–6	45%	-0.01
mirage	A	10	6–4	60%	0.05
anubis	D	8	2–6	25%	0.01
overpass	D	7	1–6	14%	-0.04
boulder	D	6	2–4	33%	0.05
train	D	5	0–5	0%	-0.00
nuke	D	5	1–4	20%	0.03
ancient	D	5	0–5	0%	-0.02
office	—	4	3–1	75%	0.03
vertigo	—	4	2–2	50%	0.06
fachwerk	—	2	1–1	50%	0.08
shelter	—	1	1–0	100%	0.03
italy	—	1	0–1	0%	0.08
alpine	—	1	1–0	100%	0.21

Across the last 100 tracked matches.

Lifetime stats

45,965Lifetime kills

1.26K/D · Top 25% of tracked players

2,091Matches

47.2%Match win rate · Top 50% of tracked players

42.5%Headshot %

19.1%Shot accuracy · Top 5% of tracked players

5,614MVPs

746Hours (in match)

959Bombs planted

444Bombs defused

Most-used weapons

AK-4711,452

AWP10,780

M4A4 / M4A1-S8,228

P2000 / USP-S3,102

Desert Eagle3,075

Glock-182,355

Galil AR1,225

FAMAS947

SSG 08829

MP7754

Lifetime map wins

3,896inferno

3,403dust2

748nuke

630vertigo

461cbble

352train

312office

154italy

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

Faceit stats

Combat

17Matches

41%Win rate

0.99Avg K/D

78.0ADR

33%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	1.45	16.5
Nuke	1	0%	0.62	8.0
Inferno	1	100%	1.17	14.0

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.

22.3%Headshot accuracy

40.9%Accuracy (enemy spotted)

45.5%Spray accuracy

84.1%Counter-strafing

8.2°Preaim

512msReaction time

35.2%T opening success

35.1%CT opening success

0.33Enemies flashed / flash

1.6%Flash assists

8.63HE damage / grenade

6.61Flashes / 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.

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 0.3344 — 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 35.1895% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	6–13	0.02	18%	28 Aug →
cache	13–9	0.07	40%	28 Aug →
train	2–13	-0.05	19%	28 Aug →
mirage	13–9	0.03	28%	28 Aug →
dust2	8–13	0.01	33%	27 Aug →
boulder	12–12	-0.00	35%	27 Aug →
office	13–8	-0.01	13%	27 Aug →
dust2	13–10	-0.00	46%	27 Aug →
cache	9–13	0.01	13%	27 Aug →
dust2	13–5	-0.04	18%	27 Aug →
inferno	13–3	0.04	27%	27 Aug →
office	13–6	0.11	17%	26 Aug →
overpass	13–11	-0.04	12%	26 Aug →
cache	13–4	0.03	10%	26 Aug →
overpass	3–13	-0.00	33%	26 Aug →
anubis	6–13	0.04	14%	26 Aug →
nuke	3–13	0.01	14%	25 Aug →
boulder	13–8	0.05	18%	25 Aug →
dust2	2–13	0.03	40%	23 Aug →
inferno	13–5	0.04	6%	23 Aug →
mirage	6–13	-0.01	8%	22 Aug →
inferno	13–11	0.01	19%	22 Aug →
vertigo	12–12	0.08	11%	22 Aug →
shelter	13–8	0.03	31%	21 Aug →
fachwerk	11–13	0.02	29%	20 Aug →
mirage	13–10	-0.01	14%	15 Aug →
cache	11–13	-0.00	21%	13 Aug →
inferno	13–8	0.03	25%	12 Aug →
inferno	3–2	-0.06	67%	12 Aug →
inferno	3–13	-0.10	25%	12 Aug →
mirage	12–12	0.07	33%	11 Aug →
inferno	5–11	0.05	50%	9 Aug →
inferno	11–13	0.06	13%	8 Aug →
dust2	5–13	-0.05	31%	8 Aug →
cache	13–10	-0.01	23%	6 Aug →
mirage	13–10	0.09	26%	5 Aug →
ancient	1–13	-0.06	15%	2 Aug →
inferno	5–13	-0.07	33%	2 Aug →
ancient	10–13	-0.05	20%	31 Jul →
vertigo	13–7	0.14	24%	30 Jul →
vertigo	12–12	-0.01	23%	30 Jul →
overpass	6–13	-0.13	12%	30 Jul →
overpass	11–13	-0.00	35%	25 Jul →
nuke	12–12	-0.01	30%	25 Jul →
train	8–13	0.06	31%	22 Jul →
overpass	3–13	-0.09	13%	19 Jul →
ancient	5–13	-0.01	17%	19 Jul →
office	4–13	-0.05	18%	19 Jul →
overpass	5–13	-0.02	21%	19 Jul →
boulder	5–13	0.00	45%	19 Jul →
boulder	13–0	0.09	29%	19 Jul →
inferno	7–13	-0.07	15%	18 Jul →
boulder	2–13	0.04	13%	18 Jul →
train	1–13	0.04	34%	18 Jul →
ancient	10–13	0.05	21%	15 Jul →
italy	4–13	0.08	17%	15 Jul →
anubis	5–13	-0.02	23%	14 Jul →
fachwerk	13–7	0.14	22%	14 Jul →
mirage	13–6	0.05	40%	13 Jul →
dust2	3–13	-0.01	12%	12 Jul →
dust2	10–13	-0.05	22%	12 Jul →
boulder	7–13	0.13	25%	12 Jul →
anubis	7–13	0.02	32%	11 Jul →
cache	9–13	0.04	26%	11 Jul →
office	13–11	0.06	26%	11 Jul →
cache	9–13	-0.11	14%	10 Jul →
anubis	4–13	-0.00	8%	10 Jul →
dust2	13–11	-0.02	9%	10 Jul →
mirage	5–13	0.07	12%	10 Jul →
mirage	9–13	0.05	22%	9 Jul →
nuke	3–13	-0.03	19%	5 Jul →
dust2	13–5	0.02	18%	5 Jul →
train	10–13	-0.04	15%	4 Jul →
overpass	12–12	0.03	9%	4 Jul →
cache	12–12	0.12	26%	4 Jul →
nuke	13–0	0.09	0%	4 Jul →
dust2	13–4	0.04	18%	4 Jul →
dust2	13–5	-0.03	23%	3 Jul →
dust2	8–13	0.01	41%	2 Jul →
ancient	0–7	-0.04	0%	2 Jul →
cache	4–13	-0.06	37%	1 Jul →
cache	7–13	-0.00	16%	1 Jul →
dust2	7–13	0.06	14%	30 Jun →
dust2	13–6	-0.00	18%	30 Jun →
anubis	12–12	-0.01	20%	29 Jun →
dust2	13–9	0.08	20%	29 Jun →
train	9–13	-0.02	42%	29 Jun →
vertigo	13–6	0.03	11%	29 Jun →
alpine	3–0	0.21	33%	29 Jun →
inferno	0–7	-0.03	0%	27 Jun →
mirage	13–3	0.03	19%	27 Jun →
anubis	13–9	0.04	24%	27 Jun →
anubis	13–9	-0.04	17%	27 Jun →
nuke	12–12	0.09	24%	27 Jun →
dust2	13–8	0.01	26%	27 Jun →
dust2	13–9	0.04	21%	26 Jun →
mirage	13–2	0.15	40%	26 Jun →
cache	13–4	0.01	30%	26 Jun →
cache	13–6	0.01	36%	24 Jun →
cache	9–13	-0.05	22%	23 Jun →