NoxeR — CS2 Stats

NO76561197985642242[U:1:25376514]Steam profile ↗✓ No bans

1,214Tracked matches38%Win rate2020Tracked since

CSDB Rating3.2 Learning

FaceitLevel 5 · 1,397 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim44

Positioning39

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWWLWTLLLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim4.4

Aggression3.4

Utility3.5

Positioning3.9

Opening Duels0.0

Clutch2.8

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 70% playstyle similarity

Most alike: opening-fight frequency, 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 38% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4

Positioning3.9

Utility3.5

Mechanics4.4

Opening Duels1.1

Win Impact1.2

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time616ms−36ms

first ⅓ avg 652ms → last ⅓ avg 616ms

Headshot accuracy19.0%−1.2%

first ⅓ avg 20.2% → last ⅓ avg 19.0%

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

0.09Best rating — inferno 13–7

13–1Biggest win — dust2

8Longest win streak

W2Current streak

8–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

overpassBest map · 60% over 10cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	22	13–9	59%	0.00
ancient	C	21	9–12	43%	-0.02
mirage	B	14	7–7	50%	-0.01
dust2	B	13	7–6	54%	-0.02
nuke	D	10	3–7	30%	-0.04
overpass	A	10	6–4	60%	-0.01
cache	D	5	1–4	20%	-0.01
anubis	—	3	1–2	33%	-0.01
vertigo	—	1	0–1	0%	-0.05
office	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Faceit stats

Combat

1,203Matches

51%Win rate

0.99Avg K/D

65.2ADR

47%Headshot %

Clutches & streaks

34%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	139	56%	1.00	13.6
Mirage	109	44%	0.95	13.2
Ancient	104	48%	0.95	14.7
Nuke	85	44%	0.92	14.0
Dust2	59	44%	0.87	13.6
Overpass	41	54%	0.90	14.1
Anubis	31	48%	0.89	13.3
Vertigo	11	18%	0.73	13.4

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.

18.8%Headshot accuracy

30.9%Accuracy (enemy spotted)

32.5%Spray accuracy

69.9%Counter-strafing

11.8°Preaim

625msReaction time

21.7%T opening success

38.5%CT opening success

0.52Enemies flashed / flash

0.2%Flash assists

7.94HE damage / grenade

4.56Flashes / 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 21.7137% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–5	-0.00	27%	28 Aug →
cache	13–2	0.02	27%	28 Aug →
vertigo	9–13	-0.05	28%	28 Aug →
ancient	13–7	-0.02	10%	25 Aug →
cache	15–15	-0.01	8%	25 Aug →
cache	14–16	-0.01	26%	10 Aug →
cache	8–13	0.02	18%	2 Aug →
nuke	8–13	-0.08	17%	17 Jun →
inferno	13–11	-0.02	26%	5 Jun →
inferno	4–13	-0.07	15%	23 May →
inferno	5–13	-0.02	15%	23 May →
mirage	13–10	-0.00	13%	23 May →
cache	5–13	-0.06	20%	13 May →
dust2	10–13	-0.03	11%	10 May →
mirage	13–7	0.02	25%	22 Apr →
anubis	8–13	-0.04	23%	10 Apr →
ancient	9–13	-0.06	15%	10 Apr →
inferno	15–15	-0.00	18%	13 Mar →
mirage	11–13	-0.07	21%	13 Mar →
dust2	5–13	-0.05	23%	13 Mar →
ancient	5–13	-0.01	23%	13 Mar →
inferno	14–16	-0.03	23%	6 Mar →
inferno	13–8	0.02	18%	5 Mar →
ancient	15–15	0.01	12%	28 Feb →
overpass	13–7	-0.02	14%	28 Feb →
inferno	13–11	0.01	14%	1 Feb →
inferno	8–13	-0.05	21%	29 Jan →
mirage	13–3	-0.00	29%	29 Jan →
ancient	15–15	0.04	18%	29 Jan →
inferno	11–13	-0.02	14%	28 Jan →
nuke	9–13	-0.03	27%	28 Jan →
ancient	13–6	0.04	16%	27 Jan →
ancient	10–13	0.03	10%	27 Jan →
overpass	8–13	0.01	17%	27 Jan →
mirage	13–5	0.03	19%	26 Jan →
dust2	13–8	0.03	10%	26 Jan →
inferno	13–8	0.06	20%	25 Jan →
ancient	13–5	0.01	32%	25 Jan →
ancient	13–9	0.06	13%	24 Jan →
overpass	13–8	0.02	11%	24 Jan →
nuke	6–13	0.01	17%	24 Jan →
dust2	7–13	-0.05	21%	24 Jan →
overpass	16–13	-0.01	19%	24 Jan →
overpass	11–13	0.01	12%	23 Jan →
nuke	6–13	-0.04	19%	23 Jan →
inferno	13–5	0.02	21%	23 Jan →
dust2	13–11	-0.02	18%	23 Jan →
ancient	13–9	-0.02	22%	12 Jan →
ancient	13–10	-0.02	21%	12 Jan →
inferno	13–7	0.09	27%	11 Jan →
overpass	7–13	-0.04	16%	10 Jan →
nuke	9–13	-0.14	18%	9 Jan →
dust2	6–13	-0.01	21%	7 Jan →
dust2	16–14	0.00	27%	5 Jan →
mirage	13–8	-0.02	32%	1 Jan →
mirage	8–13	0.05	29%	21 Dec →
ancient	2–13	-0.12	29%	19 Dec →
nuke	11–13	-0.08	23%	19 Dec →
ancient	14–16	-0.01	19%	22 Nov →
inferno	13–11	0.00	17%	16 Nov →
inferno	15–15	-0.04	19%	5 Nov →
overpass	13–9	0.01	20%	5 Nov →
office	3–13	-0.10	67%	3 Oct →
overpass	4–13	-0.09	27%	3 Oct →
overpass	13–11	-0.03	20%	5 Sept →
ancient	9–13	-0.06	11%	5 Sept →
inferno	13–7	0.04	22%	21 Aug →
inferno	13–8	-0.03	43%	9 Aug →
dust2	7–13	0.03	22%	9 Aug →
dust2	10–13	-0.07	18%	8 Aug →
ancient	13–9	-0.08	3%	8 Aug →
mirage	6–13	-0.06	19%	8 Aug →
inferno	11–13	0.00	28%	5 Aug →
mirage	4–13	-0.06	21%	5 Aug →
overpass	13–8	0.03	27%	5 Aug →
ancient	4–13	-0.06	23%	29 Jul →
inferno	13–7	-0.01	16%	29 Jul →
nuke	13–10	-0.01	19%	9 Jul →
inferno	5–13	0.04	21%	7 Jul →
dust2	13–10	-0.01	12%	7 Jul →
mirage	13–10	0.02	23%	5 Jul →
inferno	13–4	0.06	29%	5 Jul →
anubis	13–8	0.01	19%	5 Jul →
nuke	13–8	0.02	24%	30 Jun →
dust2	13–1	0.07	13%	24 Jun →
ancient	13–10	-0.05	25%	23 Jun →
inferno	13–9	0.01	24%	27 May →
mirage	16–19	0.01	26%	18 May →
dust2	19–17	-0.02	23%	29 Apr →
inferno	13–4	0.02	10%	29 Apr →
ancient	9–13	-0.05	12%	22 Mar →
dust2	13–4	-0.07	21%	21 Mar →
nuke	19–17	0.02	20%	14 Mar →
mirage	4–13	-0.08	14%	7 Mar →
anubis	7–13	0.00	17%	7 Mar →
ancient	9–13	-0.01	19%	3 Mar →
nuke	5–13	-0.05	16%	3 Mar →
ancient	9–13	-0.03	13%	27 Feb →
mirage	7–13	-0.06	19%	27 Feb →
mirage	13–9	0.05	26%	24 Feb →