Niolusss — CS2 Stats

76561199192130925[U:1:1231865197]✓ No bans

516Tracked matches66%Win rate2026Tracked since

760Hours in CS59Hrs last 2 wks

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating15,116Purple band · top ~27.9% of ranked players (population est.)

CSDB Leaderboard#10084 of 15690 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

Rating over time

15,116Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 15,116
Next: Pink band at 20,000 — 4,884 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim79

Positioning60

Utility32

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWWLWWWWLWL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

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

Aim7.9

Aggression6.1

Utility3.2

Positioning6.0

Opening Duels3.0

Clutch3.2

Strong CT-side openerLimited utility dependence

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 ropz 87% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower opening-duel success; 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

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 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Aim7.9

Positioning6.0

Utility3.2

Mechanics7.8

Opening Duels3.0

Win Impact10.0

Composite 6.5/10 (Solid), 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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time610ms−29ms

first ⅓ avg 639ms → last ⅓ avg 610ms

Headshot accuracy17.1%+1.3%

first ⅓ avg 15.8% → last ⅓ avg 17.1%

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

0.23Best rating — cache 13–1

13–0Biggest win — mirage

4Longest win streak

W2Current streak

7–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 67% over 21infernoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	S	21	14–7	67%	0.02
dust2	B	19	10–9	53%	-0.01
mirage	A	17	10–7	59%	0.01
ancient	B	13	7–6	54%	0.00
anubis	B	13	7–6	54%	0.01
nuke	B	11	5–6	45%	0.01
inferno	D	6	2–4	33%	-0.02

Across the last 100 tracked matches.

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

Lifetime stats

19,259Lifetime kills

0.79K/D

986Matches

40.2%Match win rate

54.4%Headshot % · Top 25% of tracked players

0.3%Shot accuracy

1,865MVPs

2,127Hours (in match)

967Bombs planted

215Bombs defused

Most-used weapons

AK-479,922

M4A4 / M4A1-S3,641

P2000 / USP-S1,110

Galil AR919

AWP793

Glock-18622

Desert Eagle464

FAMAS351

MP7260

SSG 08184

Lifetime map wins

1,753dust2

1,006nuke

981inferno

135vertigo

60office

30train

13italy

13cbble

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

Faceit stats

Combat

46Matches

43%Win rate

1.03Avg K/D

83.1ADR

44%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	12	33%	0.96	15.1
Cache	7	71%	1.08	16.6
Mirage	7	57%	1.27	16.4
Ancient	6	17%	0.99	18.0
Nuke	5	20%	0.74	12.6
Inferno	4	50%	0.96	16.0
Anubis	3	67%	1.00	12.7
Vertigo	1	0%	1.19	19.0

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.

17.0%Headshot accuracy

36.6%Accuracy (enemy spotted)

38.8%Spray accuracy

85.0%Counter-strafing

7.9°Preaim

609msReaction time

31.2%T opening success

53.1%CT opening success

0.39Enemies flashed / flash

6.3%Flash assists

12.81HE damage / grenade

1.83Flashes / 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.

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 0.3883 — below the 0.5 mark we flag
Grenade Lineups →
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 31.2327% — 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 6 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
cache	13–8	0.04	16%	27 Aug →
cache	13–11	-0.01	14%	26 Aug →
mirage	9–13	-0.04	22%	26 Aug →
dust2	13–5	-0.02	16%	26 Aug →
mirage	13–9	0.08	24%	26 Aug →
inferno	13–11	-0.06	26%	26 Aug →
ancient	13–4	0.05	10%	26 Aug →
nuke	8–13	0.01	15%	26 Aug →
cache	13–7	0.01	7%	26 Aug →
dust2	10–13	-0.05	12%	26 Aug →
dust2	13–7	0.04	18%	24 Aug →
cache	13–9	0.02	21%	24 Aug →
mirage	5–13	0.03	37%	24 Aug →
anubis	13–16	-0.03	8%	23 Aug →
nuke	13–5	-0.06	11%	23 Aug →
ancient	13–7	0.04	9%	23 Aug →
mirage	13–11	0.05	29%	23 Aug →
ancient	4–13	-0.04	12%	23 Aug →
mirage	13–8	0.12	22%	23 Aug →
cache	13–1	0.23	22%	23 Aug →
anubis	13–9	-0.03	17%	23 Aug →
ancient	13–8	0.01	10%	23 Aug →
cache	9–13	-0.01	15%	23 Aug →
nuke	8–13	-0.04	10%	23 Aug →
inferno	8–13	0.04	33%	22 Aug →
cache	13–5	0.13	18%	22 Aug →
dust2	13–9	0.06	25%	22 Aug →
mirage	15–15	-0.03	10%	22 Aug →
dust2	13–9	0.05	9%	19 Aug →
nuke	10–13	0.08	21%	19 Aug →
nuke	13–8	0.06	20%	18 Aug →
dust2	8–13	-0.03	20%	18 Aug →
mirage	3–13	-0.07	9%	16 Aug →
mirage	13–10	-0.08	12%	16 Aug →
inferno	15–15	-0.05	13%	16 Aug →
dust2	5–13	-0.05	9%	16 Aug →
cache	13–3	-0.02	17%	16 Aug →
cache	13–5	0.02	11%	16 Aug →
anubis	13–2	0.01	14%	16 Aug →
dust2	10–13	-0.02	20%	16 Aug →
anubis	14–16	0.08	16%	15 Aug →
mirage	11–13	0.03	20%	15 Aug →
nuke	13–2	0.07	16%	14 Aug →
dust2	8–13	-0.01	19%	9 Aug →
cache	13–10	0.03	26%	9 Aug →
mirage	8–13	-0.01	20%	9 Aug →
anubis	16–14	0.04	9%	9 Aug →
nuke	5–13	-0.06	17%	9 Aug →
cache	13–10	0.01	19%	9 Aug →
dust2	9–13	-0.08	15%	5 Aug →
cache	9–4	0.04	13%	5 Aug →
mirage	13–11	0.10	13%	1 Aug →
anubis	13–4	0.07	14%	1 Aug →
cache	10–13	-0.01	14%	31 Jul →
ancient	13–6	-0.02	11%	31 Jul →
cache	6–13	0.00	9%	30 Jul →
anubis	7–13	-0.06	13%	29 Jul →
dust2	11–13	0.00	8%	29 Jul →
mirage	7–13	-0.08	15%	29 Jul →
mirage	13–3	-0.02	10%	29 Jul →
anubis	13–9	-0.03	12%	29 Jul →
anubis	10–13	-0.01	9%	28 Jul →
ancient	16–14	-0.02	13%	28 Jul →
cache	13–3	-0.05	18%	28 Jul →
ancient	13–6	-0.00	5%	28 Jul →
dust2	11–13	-0.03	21%	25 Jul →
ancient	11–13	-0.00	14%	25 Jul →
ancient	13–8	-0.01	17%	25 Jul →
dust2	13–10	-0.00	16%	25 Jul →
nuke	3–13	-0.10	18%	24 Jul →
dust2	13–4	-0.04	25%	24 Jul →
mirage	13–0	0.04	6%	24 Jul →
cache	7–13	-0.02	16%	24 Jul →
dust2	13–10	0.02	30%	24 Jul →
dust2	13–6	-0.03	11%	24 Jul →
cache	9–13	-0.05	13%	24 Jul →
cache	13–3	0.01	12%	24 Jul →
cache	6–13	-0.03	20%	24 Jul →
dust2	13–11	-0.02	15%	24 Jul →
ancient	7–13	0.06	10%	24 Jul →
mirage	13–3	-0.02	12%	24 Jul →
ancient	6–10	-0.00	10%	24 Jul →
dust2	13–6	0.02	6%	24 Jul →
anubis	9–13	0.01	15%	24 Jul →
inferno	7–13	-0.01	18%	24 Jul →
inferno	13–7	-0.03	26%	23 Jul →
dust2	8–13	0.03	18%	23 Jul →
mirage	13–4	0.00	20%	23 Jul →
anubis	13–9	0.01	6%	23 Jul →
cache	13–4	0.08	18%	23 Jul →
ancient	10–13	0.01	13%	23 Jul →
mirage	13–8	0.07	22%	23 Jul →
nuke	8–13	0.04	10%	23 Jul →
anubis	13–10	0.00	14%	23 Jul →
nuke	13–5	0.10	21%	23 Jul →
ancient	9–13	-0.03	26%	23 Jul →
nuke	13–10	0.04	19%	23 Jul →
inferno	11–13	-0.02	9%	23 Jul →
anubis	15–15	0.04	11%	22 Jul →
cache	8–13	-0.03	18%	22 Jul →