nox — CS2 Stats

US76561198382416352[U:1:422150624]Steam profile ↗

1,224Tracked matches52%Win rate2020Tracked since

890Hours in CS

CSDB Rating7.1 StrongPassive Rifler

FaceitLevel 10 · 2,480 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	69.5%	52.8%
Shot accuracy	14.1%	13.7%
Kill/death ratio	1.69	1.08
Match win rate	52.4%	49.2%

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Performance scores

Aim93

Positioning56

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLWLWLWWWWT

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

Player DNA

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

Aim9.3

Aggression3.7

Utility6.1

Positioning5.6

Opening Duels1.2

Clutch3.6

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

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 95% playstyle similarity

Most alike: aim 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 93 — the mechanical foundation is a clear strength.

Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 37 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.

T-side openings. Opening success drops from 45% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim9.3

Positioning5.6

Utility6.1

Mechanics9.9

Opening Duels1.9

Win Impact5.6

Composite 7.1/10 (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 rating-0.00−0.04

first ⅓ avg 0.03 → last ⅓ avg -0.00

Reaction time580ms+4ms

first ⅓ avg 577ms → last ⅓ avg 580ms

Headshot accuracy23.0%−1.2%

first ⅓ avg 24.2% → last ⅓ avg 23.0%

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

0.36Best rating — anubis 2–13

13–1Biggest win — inferno

11Longest win streak

9–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 63% over 30anubisWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	19–11	63%	0.01
ancient	B	25	12–13	48%	0.02
mirage	B	19	10–9	53%	0.00
anubis	B	13	6–7	46%	0.05
inferno	A	7	4–3	57%	0.03
cache	—	4	2–2	50%	0.01
overpass	—	1	1–0	100%	-0.01
nuke	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,536Lifetime kills

1.69K/D · Top 5% of Level 10 players

1,681Matches

52.4%Match win rate · Top 25% of Level 10 players

69.5%Headshot % · Top 10% of Level 10 players

14.1%Shot accuracy · Top 50% of Level 10 players

4,018MVPs

890Hours (in match)

2,159Bombs planted

483Bombs defused

Most-used weapons

AK-4733,013

M4A4 / M4A1-S8,425

Desert Eagle3,140

AWP3,022

P2000 / USP-S2,863

Glock-181,595

Galil AR1,028

FAMAS629

MP9564

Knife493

Lifetime map wins

3,806dust2

2,110inferno

1,038vertigo

642nuke

183train

74cbble

31ar_shoots

10office

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

Faceit stats

Combat

693Matches

54%Win rate

1.10Avg K/D

72.5ADR

51%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	97	51%	1.02	14.7
Ancient	89	57%	1.08	16.5
Dust2	71	54%	0.99	14.7
Anubis	43	47%	1.07	17.7
Vertigo	36	61%	1.25	16.4
Overpass	36	58%	1.00	15.8
Inferno	34	50%	1.05	14.3
Nuke	8	50%	0.96	13.9

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

41.4%Accuracy (enemy spotted)

44.7%Spray accuracy

94.4%Counter-strafing

9.3°Preaim

578msReaction time

23.9%T opening success

45.4%CT opening success

0.70Enemies flashed / flash

4.7%Flash assists

10.37HE damage / grenade

10.54Flashes / 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.

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 23.901% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.05	39%	13 Jul →
ancient	13–7	-0.01	19%	13 Jul →
anubis	9–13	-0.01	18%	13 Jul →
ancient	13–9	-0.01	24%	13 Jul →
dust2	4–13	-0.09	29%	9 Jul →
mirage	13–4	-0.01	28%	9 Jul →
dust2	13–4	0.05	28%	9 Jul →
cache	13–11	0.05	21%	9 Jul →
mirage	13–4	0.03	17%	7 Jul →
inferno	15–15	0.03	16%	1 Jul →
dust2	13–6	-0.01	13%	30 Jun →
mirage	11–13	0.01	17%	30 Jun →
mirage	7–13	-0.03	34%	23 Jun →
dust2	3–13	0.05	25%	18 Jun →
dust2	13–5	0.02	16%	18 Jun →
ancient	3–13	-0.01	29%	21 May →
dust2	4–13	-0.03	28%	21 May →
dust2	13–9	-0.01	32%	11 May →
ancient	13–7	0.06	34%	11 May →
ancient	13–10	0.08	25%	11 May →
inferno	8–13	-0.01	35%	10 May →
dust2	13–11	0.00	20%	9 May →
dust2	13–10	-0.01	15%	9 May →
inferno	11–13	-0.04	20%	9 May →
ancient	6–13	-0.01	11%	9 May →
anubis	13–11	0.00	19%	9 May →
mirage	3–13	-0.06	20%	9 May →
mirage	13–11	-0.01	18%	8 May →
cache	9–13	-0.03	14%	8 May →
mirage	1–13	-0.08	10%	5 May →
ancient	9–13	0.04	34%	5 May →
anubis	9–13	-0.04	32%	4 May →
ancient	16–14	0.01	20%	4 May →
dust2	13–10	-0.02	16%	3 May →
dust2	13–5	0.03	21%	3 May →
dust2	10–13	0.01	30%	3 May →
dust2	14–16	0.02	29%	3 May →
dust2	13–10	0.03	25%	3 May →
anubis	16–12	0.04	18%	2 May →
mirage	13–10	0.03	29%	2 May →
ancient	16–12	0.10	26%	2 May →
overpass	16–14	-0.01	15%	1 May →
inferno	13–8	-0.00	9%	1 May →
ancient	12–16	-0.01	31%	30 Apr →
anubis	13–10	0.01	26%	30 Apr →
cache	11–13	0.01	13%	29 Apr →
cache	13–4	0.01	21%	29 Apr →
dust2	13–4	0.01	34%	28 Apr →
dust2	4–13	-0.05	32%	28 Apr →
ancient	11–13	-0.02	30%	28 Apr →
ancient	10–13	-0.02	17%	27 Apr →
dust2	13–10	0.03	18%	27 Apr →
mirage	10–13	-0.04	16%	27 Apr →
ancient	13–10	0.04	24%	26 Apr →
ancient	13–11	0.09	29%	26 Apr →
ancient	13–7	0.12	20%	26 Apr →
mirage	13–3	0.02	20%	26 Apr →
inferno	13–1	0.11	32%	26 Apr →
anubis	19–16	0.04	23%	26 Apr →
dust2	13–11	-0.02	23%	26 Apr →
dust2	13–9	0.06	22%	26 Apr →
mirage	13–7	0.02	22%	26 Apr →
dust2	13–4	0.03	19%	26 Apr →
ancient	13–4	0.04	21%	26 Apr →
dust2	8–13	-0.04	21%	26 Apr →
anubis	11–13	-0.04	22%	26 Apr →
ancient	7–13	-0.03	15%	25 Apr →
ancient	13–16	-0.07	24%	24 Apr →
dust2	13–8	-0.01	27%	24 Apr →
dust2	13–9	-0.02	27%	23 Apr →
inferno	13–8	0.05	13%	23 Apr →
mirage	2–13	-0.01	20%	23 Apr →
ancient	13–9	0.11	23%	23 Apr →
anubis	10–13	0.01	22%	22 Apr →
ancient	8–13	-0.02	24%	22 Apr →
mirage	13–3	0.01	17%	22 Apr →
ancient	14–16	0.03	28%	22 Apr →
dust2	10–13	0.01	34%	22 Apr →
mirage	13–6	0.04	18%	21 Apr →
anubis	13–5	0.03	33%	21 Apr →
ancient	9–5	0.04	22%	21 Apr →
dust2	4–8	-0.05	23%	21 Apr →
dust2	11–13	-0.01	22%	20 Apr →
mirage	13–4	-0.02	24%	20 Apr →
anubis	2–13	0.04	21%	20 Apr →
inferno	13–10	0.06	20%	20 Apr →
dust2	13–5	0.06	24%	19 Apr →
anubis	13–1	0.05	26%	19 Apr →
mirage	7–13	0.02	24%	19 Apr →
dust2	16–14	0.03	24%	19 Apr →
ancient	11–13	0.02	21%	19 Apr →
ancient	4–13	-0.04	24%	19 Apr →
ancient	5–13	-0.04	31%	18 Apr →
mirage	13–3	0.12	33%	18 Apr →
dust2	13–4	0.11	13%	18 Apr →
dust2	9–13	0.06	42%	18 Apr →
anubis	10–13	0.08	24%	18 Apr →
anubis	2–13	0.36	38%	18 Apr →
mirage	10–13	0.07	18%	18 Apr →
nuke	9–13	-0.04	18%	17 Apr →