Nixs — CS2 Stats

76561199014634256[U:1:1054368528]✓ No bans

1,078Tracked matches40%Win rate2020Tracked since

1,282Hours in CS29Hrs last 2 wks

CSDB Rating3.5 Learning

FaceitLevel 7 · 1,585 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning40

Utility53

0–100 skill scores via Leetify.

Recent form

COLD48–52Last 10048%Win rateLWLWWLLLLL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim4.2

Aggression4.0

Utility5.3

Positioning4.0

Opening Duels0.4

Clutch4.8

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 79% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.2

Positioning4.0

Utility5.3

Mechanics4.0

Opening Duels1.1

Win Impact1.7

Composite 3.5/10 (Learning), 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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time649ms−13ms

first ⅓ avg 662ms → last ⅓ avg 649ms

Headshot accuracy21.7%+1.2%

first ⅓ avg 20.5% → last ⅓ avg 21.7%

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

0.12Best rating — cache 13–4

13–1Biggest win — dust2

6Longest win streak

12–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 54% over 13infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	15–15	50%	0.00
anubis	C	21	8–13	38%	-0.01
dust2	B	13	7–6	54%	-0.02
inferno	D	12	4–8	33%	-0.00
cache	C	11	4–7	36%	-0.02
ancient	—	4	3–1	75%	0.04
vertigo	—	3	3–0	100%	0.01
nuke	—	3	2–1	67%	-0.05
overpass	—	3	2–1	67%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,614Lifetime kills

0.90K/D

1,188Matches

48.2%Match win rate · Top 50% of tracked players

50.5%Headshot % · Top 50% of tracked players

8.1%Shot accuracy

2,906MVPs

1,025Hours (in match)

1,412Bombs planted

409Bombs defused

Most-used weapons

AK-479,919

M4A4 / M4A1-S5,742

P2000 / USP-S1,540

Desert Eagle1,274

Glock-181,142

AWP1,134

Knife855

MAC-10711

FAMAS467

Galil AR431

Lifetime map wins

2,187inferno

1,915dust2

843nuke

519vertigo

329train

8office

2italy

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

Faceit stats

Combat

1,020Matches

52%Win rate

1.00Avg K/D

78.3ADR

51%Headshot %

Clutches & streaks

44%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	267	54%	1.09	17.2
Inferno	117	50%	0.98	16.3
Dust2	111	43%	0.92	15.1
Ancient	94	49%	0.89	14.8
Anubis	73	47%	0.88	14.4
Overpass	53	47%	0.93	16.4
Nuke	39	33%	0.87	14.2
Cache	25	44%	1.20	15.4

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.

21.2%Headshot accuracy

30.6%Accuracy (enemy spotted)

30.8%Spray accuracy

67.8%Counter-strafing

11.7°Preaim

645msReaction time

24.5%T opening success

38.9%CT opening success

0.55Enemies flashed / flash

9.0%Flash assists

7.26HE damage / grenade

9.59Flashes / 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 24.5384% — below the 40% mark we flag

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.

33% win rate across 12 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
anubis	10–13	-0.02	22%	28 Aug →
mirage	13–7	0.06	21%	27 Aug →
anubis	7–13	-0.00	19%	27 Aug →
cache	16–14	-0.03	21%	24 Aug →
mirage	19–16	0.02	15%	24 Aug →
mirage	7–13	0.03	21%	24 Aug →
cache	3–13	-0.00	28%	23 Aug →
anubis	13–16	-0.08	19%	21 Aug →
mirage	2–13	-0.07	13%	18 Aug →
ancient	8–13	0.06	27%	17 Aug →
cache	16–13	-0.03	14%	15 Aug →
vertigo	13–6	0.06	34%	15 Aug →
mirage	7–13	-0.02	18%	14 Aug →
mirage	13–9	-0.01	28%	14 Aug →
anubis	7–13	0.01	21%	14 Aug →
inferno	9–13	0.05	33%	13 Aug →
cache	6–13	-0.02	37%	12 Aug →
dust2	10–13	-0.06	18%	11 Aug →
mirage	13–9	-0.00	14%	11 Aug →
dust2	13–1	-0.03	10%	10 Aug →
anubis	2–13	-0.05	50%	10 Aug →
cache	11–13	-0.08	15%	10 Aug →
mirage	10–13	0.05	15%	9 Aug →
inferno	7–13	-0.04	34%	9 Aug →
dust2	7–13	0.04	23%	9 Aug →
nuke	13–9	-0.04	18%	8 Aug →
mirage	11–13	-0.07	15%	7 Aug →
vertigo	13–6	-0.05	13%	7 Aug →
vertigo	13–5	0.02	21%	7 Aug →
mirage	11–0	-0.05	5%	7 Aug →
cache	13–10	0.01	28%	7 Aug →
mirage	13–11	0.01	22%	6 Aug →
anubis	11–13	-0.04	22%	4 Aug →
anubis	13–7	-0.01	33%	3 Aug →
nuke	10–13	-0.02	29%	3 Aug →
ancient	13–10	0.01	20%	3 Aug →
mirage	13–16	-0.05	19%	2 Aug →
dust2	10–13	-0.07	15%	2 Aug →
inferno	13–10	-0.02	29%	2 Aug →
dust2	13–10	0.02	22%	31 Jul →
mirage	13–11	-0.03	17%	30 Jul →
cache	13–4	0.12	18%	26 Jul →
mirage	13–6	0.05	28%	26 Jul →
ancient	13–10	0.04	25%	24 Jul →
mirage	13–16	0.00	20%	20 Jul →
inferno	9–13	-0.04	8%	17 Jul →
dust2	13–9	-0.04	15%	17 Jul →
inferno	7–13	0.01	25%	16 Jul →
dust2	13–10	-0.03	16%	16 Jul →
anubis	7–13	-0.07	3%	14 Jul →
cache	6–13	-0.03	33%	14 Jul →
anubis	13–5	0.00	21%	12 Jul →
cache	7–13	-0.07	16%	4 Jul →
anubis	15–19	-0.05	19%	2 Jul →
mirage	7–13	-0.04	15%	26 Jun →
anubis	9–13	0.01	11%	20 Jun →
dust2	13–16	0.02	21%	20 Jun →
anubis	13–11	-0.01	13%	19 Jun →
inferno	4–13	0.01	29%	19 Jun →
anubis	13–11	-0.01	30%	19 Jun →
anubis	11–13	0.02	32%	17 Jun →
mirage	5–13	0.02	29%	15 Jun →
dust2	7–13	-0.08	14%	15 Jun →
dust2	13–9	0.02	29%	12 Jun →
inferno	9–13	-0.03	11%	11 Jun →
anubis	13–11	0.02	22%	11 Jun →
mirage	16–14	-0.00	22%	10 Jun →
anubis	11–13	0.01	22%	10 Jun →
ancient	13–7	0.06	22%	9 Jun →
mirage	10–13	-0.02	26%	9 Jun →
overpass	11–13	0.04	28%	8 Jun →
mirage	13–11	-0.01	17%	8 Jun →
anubis	13–6	0.03	15%	8 Jun →
inferno	8–13	-0.04	22%	4 Jun →
cache	12–16	-0.02	20%	25 May →
inferno	10–13	-0.04	18%	25 May →
inferno	9–3	0.04	29%	25 May →
mirage	10–13	-0.01	24%	20 May →
inferno	16–14	0.03	24%	15 May →
mirage	13–11	0.02	12%	15 May →
anubis	13–8	-0.03	32%	14 May →
mirage	11–13	-0.01	16%	14 May →
mirage	13–6	0.09	31%	14 May →
cache	11–13	-0.02	16%	14 May →
mirage	13–10	0.01	20%	14 May →
mirage	13–6	0.07	20%	13 May →
dust2	13–10	-0.01	23%	13 May →
mirage	13–4	0.04	14%	13 May →
anubis	9–13	-0.03	11%	13 May →
inferno	19–17	0.05	24%	12 May →
mirage	9–13	0.00	16%	12 May →
anubis	9–13	-0.01	25%	12 May →
dust2	13–9	0.02	17%	11 May →
nuke	13–3	-0.08	11%	11 May →
overpass	13–10	0.03	17%	11 May →
mirage	7–13	-0.03	21%	11 May →
overpass	13–11	-0.03	16%	5 May →
anubis	13–9	0.04	20%	1 May →
mirage	8–13	-0.01	35%	25 Apr →
dust2	2–13	-0.07	14%	23 Apr →