Noogey — CS2 Stats

US76561198272083819[U:1:311818091]Steam profile ↗✓ No bans

4,364Tracked matches59%Win rate2020Tracked since

CSDB Rating7.6 StrongSupport

Premier CS Rating24,889Top 25% of 205,709 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)

CSDB Leaderboard#23434 of 253375 tracked

FaceitLevel 10 · 2,293 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,889 +883 19 Sept – 15 Oct · 19 days played

Faceit ELO: 2,293 +0 30 Aug – 25 Sept · 3 observations

26,951Peak Premier in tracked matches

2,293Highest Faceit ELO seen on CSDB

24Days played since 2026-08-30

Faceit ELO

At peak — 2,293
0 over 30 days · steady
Next: 2,500 ELO at 2,500 — 207 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-30
Level 9 first seen 2026-08-30

Premier CS Rating

1,659 below peak (26,548)
+883 over 30 days · improving
Next: Red band at 25,000 — 111 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-25
Pink band first seen 2026-09-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim89

Positioning62

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY60–35–5Last 10060%Win rateWTLWWLLWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.9pp headshot accuracy · −5ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–1–1 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 27%
Avg reaction 537ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 26%
Avg reaction 561ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 26%
Avg reaction 564ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim8.9

Utility6.8

Positioning6.2

Opening Duels3.8

Clutch3.8

Sharp aimerStrong 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 98% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 583ms 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

Aim8.9

Positioning6.2

Utility6.8

Mechanics8.4

Opening Duels4.6

Win Impact8.1

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time591ms+25ms

first ⅓ avg 567ms → last ⅓ avg 591ms

Headshot accuracy25.3%−2.8%

first ⅓ avg 28.1% → last ⅓ avg 25.3%

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.

Personal bests

0.14Best match rating · 13–5 · anubis, 29 Sept →

50%Best headshot accuracy · 1–2 · cache, 4 Oct →

359msFastest reaction time · 0–3 · dust2, 30 Sept →

13–1Biggest win · cache, 4 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

10–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 93% over 14infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	24	17–7	71%	0.01
dust2	C	15	6–9	40%	-0.01
anubis	S	14	13–1	93%	0.05
cache	B	13	7–6	54%	0.02
ancient	A	11	6–5	55%	0.00
inferno	C	11	4–7	36%	0.01
nuke	C	9	4–5	44%	0.01
train	—	2	2–0	100%	0.03
overpass	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

930Matches

58%Win rate

1.19Avg K/D

82.3ADR

56%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	92	60%	1.19	16.5
Mirage	90	57%	1.24	16.2
Anubis	74	62%	1.20	16.3
Dust2	41	59%	1.10	15.5
Nuke	33	45%	1.12	15.6
Overpass	21	76%	1.52	15.8
Vertigo	13	54%	1.33	20.4
Inferno	12	42%	1.10	17.7

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.

25.8%Headshot accuracy

38.9%Accuracy (enemy spotted)

38.1%Spray accuracy

87.7%Counter-strafing

9.0°Preaim

583msReaction time

42.9%T opening success

53.5%CT opening success

0.66Enemies flashed / flash

10.3%Flash assists

9.42HE damage / grenade

11.38Flashes / match

Recommended for you

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.

36% win rate across 11 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
dust2	28–26	-0.01	24%	18 Oct →
cache	12–12	-0.02	30%	16 Oct →
dust2	5–13	-0.05	27%	15 Oct →
mirage	16–14	0.02	22%	15 Oct →
mirage	13–6	0.08	32%	15 Oct →
cache	9–13	-0.00	45%	15 Oct →
ancient	6–13	-0.05	17%	14 Oct →
inferno	6–2	-0.05	18%	14 Oct →
ancient	13–10	0.02	16%	14 Oct →
nuke	11–13	0.06	32%	14 Oct →
mirage	14–16	0.05	14%	14 Oct →
mirage	13–9	-0.05	24%	13 Oct →
dust2	3–13	0.02	37%	12 Oct →
nuke	6–13	0.01	25%	12 Oct →
anubis	13–4	0.01	37%	12 Oct →
ancient	6–13	-0.04	12%	12 Oct →
anubis	13–4	0.07	29%	12 Oct →
dust2	13–8	0.06	21%	12 Oct →
mirage	8–13	-0.04	30%	11 Oct →
inferno	13–11	0.05	25%	11 Oct →
inferno	12–12	-0.08	24%	10 Oct →
overpass	13–10	-0.05	32%	10 Oct →
cache	13–3	0.03	34%	10 Oct →
train	13–10	0.07	38%	10 Oct →
cache	13–11	-0.04	24%	10 Oct →
anubis	13–7	0.06	19%	10 Oct →
mirage	0–4	-0.16	0%	7 Oct →
inferno	12–12	0.01	21%	7 Oct →
ancient	3–13	0.02	30%	7 Oct →
cache	13–9	0.03	21%	6 Oct →
mirage	13–5	0.07	33%	6 Oct →
anubis	16–12	0.03	19%	6 Oct →
anubis	13–10	0.05	23%	6 Oct →
inferno	4–13	-0.01	25%	6 Oct →
anubis	13–11	0.03	46%	5 Oct →
dust2	8–13	0.01	30%	5 Oct →
mirage	13–5	0.02	35%	5 Oct →
dust2	2–8	0.06	29%	5 Oct →
mirage	10–13	0.12	21%	5 Oct →
ancient	13–4	0.00	30%	4 Oct →
train	13–10	-0.02	30%	4 Oct →
nuke	13–3	0.04	26%	4 Oct →
cache	13–1	0.08	35%	4 Oct →
ancient	13–11	0.01	27%	4 Oct →
ancient	13–10	0.00	22%	4 Oct →
dust2	13–10	0.01	40%	4 Oct →
cache	1–2	-0.02	50%	4 Oct →
nuke	13–5	0.08	31%	4 Oct →
mirage	4–13	-0.03	17%	4 Oct →
anubis	9–3	0.05	39%	4 Oct →
cache	7–13	-0.04	26%	4 Oct →
mirage	13–3	0.03	29%	4 Oct →
dust2	2–13	-0.10	39%	3 Oct →
nuke	0–13	-0.03	50%	3 Oct →
anubis	2–0	0.00	0%	3 Oct →
dust2	2–13	-0.06	25%	3 Oct →
dust2	13–7	-0.01	14%	2 Oct →
inferno	13–2	0.07	17%	2 Oct →
inferno	15–15	0.03	27%	2 Oct →
dust2	13–16	0.00	21%	1 Oct →
nuke	13–9	0.02	30%	1 Oct →
inferno	13–8	0.03	32%	30 Sept →
ancient	13–9	0.04	25%	30 Sept →
ancient	11–13	-0.00	34%	30 Sept →
nuke	1–13	-0.02	21%	30 Sept →
ancient	10–13	0.05	18%	30 Sept →
nuke	1–13	-0.07	23%	30 Sept →
dust2	0–3	-0.05	33%	30 Sept →
dust2	16–12	0.03	32%	30 Sept →
mirage	13–3	0.03	31%	30 Sept →
inferno	11–13	0.03	24%	29 Sept →
anubis	13–5	0.14	31%	29 Sept →
dust2	13–9	0.00	23%	29 Sept →
cache	13–10	0.05	21%	29 Sept →
inferno	4–13	-0.04	15%	29 Sept →
anubis	13–6	0.12	24%	29 Sept →
nuke	13–2	0.03	21%	29 Sept →
anubis	2–7	-0.04	32%	29 Sept →
mirage	10–7	-0.01	23%	29 Sept →
mirage	16–14	0.06	27%	28 Sept →
mirage	13–7	0.05	37%	28 Sept →
mirage	6–13	-0.06	20%	28 Sept →
ancient	13–11	-0.01	29%	26 Sept →
cache	10–13	0.02	26%	26 Sept →
dust2	12–12	-0.01	37%	26 Sept →
inferno	3–13	0.01	28%	25 Sept →
anubis	13–8	0.08	29%	25 Sept →
cache	13–6	0.07	19%	25 Sept →
mirage	11–13	-0.04	41%	24 Sept →
mirage	13–6	0.01	41%	24 Sept →
mirage	13–4	0.05	22%	24 Sept →
anubis	13–6	0.08	21%	24 Sept →
cache	13–10	0.10	33%	24 Sept →
anubis	13–5	0.01	16%	24 Sept →
mirage	13–7	0.03	23%	24 Sept →
mirage	13–6	0.02	37%	20 Sept →
cache	8–13	0.05	32%	20 Sept →
mirage	13–11	0.04	38%	19 Sept →
mirage	13–7	0.02	31%	19 Sept →
mirage	13–5	0.01	29%	17 Sept →