Nurarity — CS2 Stats

US76561198036281130[U:1:76015402]Steam profile ↗✓ No bans

1,352Tracked matches47%Win rate2020Tracked since

CSDB Rating4.4 DevelopingPassive Rifler

Premier CS Rating17,210Purple band · top ~19.6% of ranked players (population est.)

CSDB Leaderboard#15749 of 28792 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning37

Utility19

0–100 skill scores via Leetify.

Recent form

COLD47–48–5Last 10047%Win rateLWLLLLLWWL

Last 10 vs previous 10: -50pp win rate · -0.05 avg rating

Player DNA

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

Aim6.5

Aggression1.8

Utility1.9

Positioning3.7

Opening Duels0.0

Clutch0.0

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 NiKo 71% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; lower 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

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 35% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 669ms 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

Aim6.5

Positioning3.7

Utility1.9

Mechanics6.2

Opening Duels0.6

Win Impact3.9

Composite 4.4/10 (Developing), 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-0.02−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time661ms−29ms

first ⅓ avg 690ms → last ⅓ avg 661ms

Headshot accuracy19.2%−1.7%

first ⅓ avg 20.8% → last ⅓ avg 19.2%

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

0.24Best rating — inferno 9–3

13–0Biggest win — dust2

5Longest win streak

11–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 61% over 23ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	12–14	46%	0.00
dust2	A	23	14–9	61%	-0.00
inferno	A	17	10–7	59%	0.03
cache	C	14	6–8	43%	-0.01
nuke	D	7	2–5	29%	-0.03
ancient	D	6	1–5	17%	-0.04
overpass	D	6	2–4	33%	0.00
anubis	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches

12%Win rate

0.86Avg K/D

58.6ADR

48%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	33%	0.98	12.0
Mirage	3	0%	0.96	16.0
Ancient	2	0%	0.53	8.0

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.

19.4%Headshot accuracy

36.7%Accuracy (enemy spotted)

36.0%Spray accuracy

78.1%Counter-strafing

9.9°Preaim

669msReaction time

18.5%T opening success

35.1%CT opening success

0.23Enemies flashed / flash

1.1%Flash assists

8.22HE damage / grenade

1.39Flashes / 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 0.2325 — 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 18.5218% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	3–13	-0.01	29%	25 Aug →
cache	13–11	-0.02	22%	25 Aug →
mirage	9–13	-0.03	22%	25 Aug →
mirage	5–13	-0.05	12%	25 Aug →
nuke	3–13	-0.07	32%	25 Aug →
ancient	5–13	-0.07	12%	18 Aug →
dust2	8–13	-0.05	14%	18 Aug →
mirage	13–9	0.03	13%	18 Aug →
dust2	16–13	-0.07	20%	18 Aug →
mirage	6–13	-0.02	33%	18 Aug →
mirage	13–11	0.04	23%	11 Aug →
dust2	13–7	0.06	26%	11 Aug →
cache	13–10	-0.03	26%	11 Aug →
inferno	16–13	0.01	11%	6 Aug →
mirage	13–4	-0.01	17%	6 Aug →
cache	10–13	-0.03	24%	6 Aug →
inferno	13–3	0.01	27%	6 Aug →
dust2	14–16	-0.02	18%	4 Aug →
dust2	13–7	0.05	12%	4 Aug →
dust2	13–0	0.07	19%	21 Jul →
cache	8–13	-0.00	24%	21 Jul →
inferno	13–3	-0.03	18%	21 Jul →
dust2	10–13	-0.04	14%	16 Jul →
mirage	10–13	-0.07	17%	16 Jul →
mirage	11–13	-0.07	21%	3 Jul →
inferno	13–5	0.04	17%	2 Jul →
nuke	5–13	-0.01	15%	2 Jul →
overpass	5–13	-0.02	9%	2 Jul →
inferno	5–13	-0.07	26%	2 Jul →
mirage	13–6	-0.02	16%	2 Jul →
dust2	13–8	0.02	17%	27 Jun →
dust2	13–6	-0.03	9%	27 Jun →
ancient	9–13	-0.03	18%	27 Jun →
cache	13–11	-0.04	16%	25 Jun →
dust2	15–15	-0.04	14%	23 Jun →
dust2	11–13	0.02	25%	23 Jun →
inferno	15–15	0.03	29%	19 Jun →
overpass	11–13	-0.01	14%	19 Jun →
dust2	6–13	-0.09	32%	19 Jun →
mirage	13–5	0.04	18%	16 Jun →
dust2	7–13	-0.03	26%	16 Jun →
ancient	7–13	-0.06	13%	14 Jun →
nuke	13–2	0.05	23%	14 Jun →
inferno	13–8	-0.03	14%	14 Jun →
mirage	13–5	-0.07	19%	14 Jun →
dust2	13–5	0.01	24%	14 Jun →
overpass	13–3	0.09	15%	12 Jun →
mirage	11–13	-0.02	21%	12 Jun →
mirage	4–13	0.03	35%	12 Jun →
mirage	13–8	0.04	18%	11 Jun →
inferno	13–5	0.06	17%	11 Jun →
ancient	13–9	0.04	18%	11 Jun →
nuke	13–5	0.03	15%	11 Jun →
mirage	9–13	-0.05	19%	11 Jun →
inferno	5–13	0.04	17%	1 Jun →
mirage	13–9	-0.01	15%	1 Jun →
ancient	4–13	-0.05	18%	1 Jun →
overpass	5–13	-0.07	23%	1 Jun →
dust2	13–10	0.00	12%	1 Jun →
inferno	5–13	0.03	9%	1 Jun →
cache	13–11	-0.02	16%	28 May →
cache	12–12	-0.01	30%	28 May →
nuke	3–13	-0.08	3%	28 May →
inferno	6–13	-0.04	22%	28 May →
mirage	12–16	-0.02	22%	28 May →
dust2	3–13	-0.03	15%	28 May →
nuke	3–13	-0.06	30%	28 May →
ancient	5–13	-0.04	18%	28 May →
anubis	8–13	0.03	23%	14 May →
dust2	16–14	-0.01	19%	14 May →
cache	12–12	0.02	20%	5 May →
cache	6–13	0.01	20%	5 May →
cache	11–13	0.03	33%	3 May →
cache	10–13	-0.07	32%	3 May →
cache	13–8	-0.02	13%	30 Apr →
cache	3–13	-0.04	8%	30 Apr →
cache	13–11	0.06	18%	30 Apr →
mirage	11–13	0.01	11%	27 Apr →
dust2	13–9	-0.04	19%	17 Apr →
inferno	13–11	0.11	23%	17 Apr →
dust2	13–2	0.07	32%	17 Apr →
overpass	13–3	0.10	12%	17 Apr →
dust2	6–13	-0.06	13%	17 Apr →
mirage	16–12	0.03	15%	17 Apr →
nuke	6–13	-0.05	14%	17 Apr →
mirage	13–11	0.00	22%	14 Apr →
inferno	4–13	-0.03	18%	14 Apr →
mirage	13–11	0.04	14%	14 Apr →
inferno	9–3	0.24	24%	13 Apr →
inferno	6–1	0.05	50%	13 Apr →
inferno	16–13	0.06	26%	13 Apr →
mirage	15–15	0.05	25%	13 Apr →
dust2	16–13	0.06	16%	10 Apr →
mirage	7–13	-0.01	22%	10 Apr →
dust2	13–11	0.02	21%	7 Apr →
overpass	9–13	-0.08	20%	7 Apr →
mirage	5–13	0.01	28%	7 Apr →
dust2	13–5	0.09	20%	7 Apr →
mirage	13–11	0.03	21%	7 Apr →
mirage	10–13	0.11	17%	6 Apr →