noxqz — CS2 Stats

MC76561197987050030[U:1:26784302]Steam profile ↗✓ No bans

1,386Tracked matches44%Win rate2020Tracked since

2,004Hours in CS

CSDB Rating4.3 Developing

Premier CS Rating11,790Blue band · top ~45.4% of ranked players (population est.)

CSDB Leaderboard#21774 of 31076 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 2 median	vs Level 2
Headshot rate	40.3%	42.1%	1.9% short
Shot accuracy	15.0%	12.9%	above
Kill/death ratio	1.00	1.00	meets
Match win rate	42.4%	42.9%	meets

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim47

Positioning50

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWWTLTWLWLT

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Aim4.7

Aggression6.1

Utility4.3

Positioning5.0

Opening Duels1.8

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 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 50% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 708ms 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

Aim4.7

Positioning5.0

Utility4.3

Mechanics6.3

Opening Duels2.6

Win Impact3.1

Composite 4.3/10 (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 rating-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time707ms+50ms

first ⅓ avg 657ms → last ⅓ avg 707ms

Headshot accuracy13.9%−3.4%

first ⅓ avg 17.3% → last ⅓ avg 13.9%

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

0.09Best rating — ancient 13–7

13–2Biggest win — nuke

9Longest win streak

W2Current streak

8–8In matches decided by ≤2 rounds

17Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	9–11	45%	-0.02
inferno	D	16	5–11	31%	-0.03
nuke	C	14	6–8	43%	-0.02
ancient	C	14	5–9	36%	-0.01
mirage	A	14	8–6	57%	-0.01
overpass	S	12	8–4	67%	-0.01
anubis	S	7	5–2	71%	-0.01
train	—	2	1–1	50%	-0.04
cache	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,247Lifetime kills

1.00K/D · Top 50% of Blue band

4,540Matches

42.4%Match win rate

40.3%Headshot %

15.0%Shot accuracy · Top 25% of Blue band

8,427MVPs

2,004Hours (in match)

4,680Bombs planted

1,032Bombs defused

Most-used weapons

AK-4722,594

M4A4 / M4A1-S15,953

AWP5,148

P2000 / USP-S4,171

Desert Eagle3,995

SG 5533,830

Glock-183,630

Five-SeveN3,196

P2502,313

Tec-92,221

Lifetime map wins

7,930inferno

6,089nuke

5,912dust2

1,566train

1,348cbble

791vertigo

74office

70lake

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

Skill profile

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

14.2%Headshot accuracy

31.9%Accuracy (enemy spotted)

34.3%Spray accuracy

78.3%Counter-strafing

9.4°Preaim

708msReaction time

23.7%T opening success

50.4%CT opening success

0.46Enemies flashed / flash

5.4%Flash assists

9.88HE damage / grenade

4.58Flashes / 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 14.1884% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 707.7059ms — above the 700ms mark we flag
Aim Training →
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 0.4626 — below the 0.5 mark we flag
Grenade Lineups →

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.

31% win rate across 16 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
overpass	13–10	-0.03	16%	2 Jun →
nuke	13–2	-0.02	3%	24 May →
ancient	15–15	-0.01	15%	24 May →
dust2	5–13	-0.06	24%	15 May →
ancient	15–15	-0.05	14%	15 May →
dust2	13–2	0.05	13%	13 May →
mirage	9–13	-0.03	20%	13 May →
dust2	13–6	0.01	21%	13 May →
ancient	11–13	0.03	8%	13 May →
anubis	15–15	-0.05	11%	3 May →
overpass	13–9	-0.01	18%	3 May →
dust2	13–6	0.02	22%	3 May →
nuke	13–9	-0.06	11%	3 May →
mirage	7–13	-0.01	14%	3 May →
anubis	13–11	-0.09	5%	2 May →
dust2	13–16	-0.04	12%	2 May →
inferno	5–13	-0.05	5%	2 May →
cache	1–13	0.01	11%	2 May →
overpass	16–13	-0.01	15%	1 May →
ancient	11–13	-0.03	15%	29 Apr →
nuke	7–13	-0.09	13%	22 Apr →
dust2	3–13	-0.10	21%	22 Apr →
inferno	6–13	-0.02	9%	21 Apr →
dust2	7–13	-0.04	29%	21 Apr →
nuke	13–2	0.03	11%	21 Apr →
overpass	5–13	-0.04	9%	19 Apr →
inferno	8–13	0.01	14%	19 Apr →
mirage	13–8	0.04	18%	18 Apr →
ancient	13–16	-0.05	15%	18 Apr →
ancient	13–7	0.02	11%	18 Apr →
overpass	9–13	-0.00	15%	18 Apr →
inferno	9–13	-0.04	16%	18 Apr →
anubis	13–2	0.04	2%	18 Apr →
inferno	7–13	-0.06	13%	12 Apr →
ancient	13–7	0.09	11%	12 Apr →
nuke	14–16	-0.04	16%	10 Apr →
dust2	10–13	-0.04	19%	10 Apr →
inferno	5–13	-0.03	16%	10 Apr →
anubis	13–8	-0.06	15%	9 Apr →
nuke	8–13	0.01	23%	28 Mar →
anubis	10–13	0.08	27%	28 Mar →
mirage	13–9	-0.01	18%	28 Mar →
dust2	8–13	-0.02	8%	27 Mar →
nuke	14–16	-0.04	16%	27 Mar →
mirage	13–4	0.04	24%	27 Mar →
anubis	13–11	-0.05	19%	27 Mar →
mirage	13–9	-0.06	19%	16 Mar →
ancient	8–13	-0.02	27%	16 Mar →
dust2	8–13	0.01	12%	7 Feb →
dust2	2–13	-0.05	19%	7 Feb →
anubis	13–9	0.05	24%	1 Feb →
dust2	8–13	0.00	21%	24 Jan →
mirage	13–11	-0.03	23%	24 Jan →
inferno	13–10	-0.09	11%	24 Jan →
dust2	14–16	-0.02	18%	24 Jan →
nuke	6–13	-0.09	12%	24 Jan →
overpass	14–16	0.01	9%	23 Jan →
dust2	13–8	-0.04	15%	23 Jan →
mirage	9–13	-0.01	22%	23 Jan →
inferno	5–13	-0.02	16%	18 Jan →
ancient	5–13	-0.07	3%	17 Jan →
overpass	14–16	0.01	14%	17 Jan →
nuke	13–16	-0.04	14%	17 Jan →
dust2	13–10	0.07	18%	17 Jan →
ancient	13–6	0.03	17%	16 Jan →
nuke	13–11	-0.04	16%	16 Jan →
inferno	11–13	-0.04	21%	12 Jan →
mirage	8–13	-0.05	19%	11 Jan →
overpass	13–11	-0.05	16%	11 Jan →
dust2	13–4	-0.06	33%	11 Jan →
inferno	10–13	-0.05	13%	4 Jan →
mirage	13–10	0.01	9%	4 Jan →
train	15–15	-0.03	23%	4 Jan →
dust2	9–13	-0.08	30%	4 Jan →
nuke	13–8	0.01	21%	4 Jan →
overpass	16–13	0.01	14%	2 Jan →
inferno	13–9	0.01	22%	2 Jan →
mirage	5–13	-0.09	18%	2 Jan →
ancient	10–13	-0.06	5%	2 Jan →
nuke	8–13	0.00	20%	1 Jan →
inferno	13–11	-0.07	14%	1 Jan →
ancient	13–3	-0.03	22%	1 Jan →
nuke	13–9	0.03	9%	1 Jan →
dust2	13–4	0.00	17%	31 Dec →
train	13–9	-0.05	4%	30 Dec →
inferno	13–5	0.04	14%	30 Dec →
dust2	13–11	-0.07	11%	30 Dec →
mirage	13–11	0.03	18%	30 Dec →
overpass	13–3	-0.01	16%	30 Dec →
inferno	12–16	-0.05	9%	29 Dec →
ancient	16–13	-0.03	19%	27 Dec →
dust2	13–9	-0.00	24%	27 Dec →
nuke	5–13	-0.01	21%	26 Dec →
inferno	13–3	0.06	31%	26 Dec →
overpass	13–6	-0.00	15%	26 Dec →
mirage	15–15	-0.02	23%	25 Dec →
inferno	8–13	-0.09	13%	9 Nov →
ancient	8–13	0.01	17%	8 Nov →
overpass	13–8	-0.01	21%	8 Nov →
mirage	13–8	0.01	9%	8 Nov →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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