FuzzNutz14 — CS2 Stats

76561198035291445[U:1:75025717]

845Tracked matches62%Win rate2023Tracked since

CSDB Rating5.6 SolidPassive Rifler

Premier CS Rating17,101Purple band · top ~20% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning42

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLWWLWWWWTL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim6.7

Aggression3.8

Utility5.3

Positioning4.2

Opening Duels0.2

Clutch2.8

Strong CT-side openerEffective flashesLimited 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 83% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 44% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim6.7

Positioning4.2

Utility5.3

Mechanics6.0

Opening Duels1.7

Win Impact9.0

Composite 5.6/10 (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 rating-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time592ms−43ms

first ⅓ avg 635ms → last ⅓ avg 592ms

Headshot accuracy13.6%+0.3%

first ⅓ avg 13.3% → last ⅓ avg 13.6%

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

0.10Best rating — dust2 13–4

13–0Biggest win — mirage

7Longest win streak

2–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 59% over 17cacheWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	17–14	55%	-0.02
mirage	B	17	8–9	47%	-0.03
ancient	A	17	10–7	59%	-0.00
anubis	A	11	6–5	55%	-0.03
inferno	B	8	4–4	50%	-0.02
nuke	B	8	4–4	50%	-0.03
cache	D	7	2–5	29%	-0.03
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

186Matches

52%Win rate

0.81Avg K/D

61.8ADR

38%Headshot %

Clutches & streaks

34%1v1 clutch win

11%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	62	61%	0.82	11.8
Mirage	40	48%	0.76	11.1
Ancient	29	48%	0.92	13.5
Anubis	28	43%	0.79	11.1
Inferno	20	50%	0.83	11.6
Cache	6	50%	0.71	10.5
Overpass	1	0%	0.71	12.0

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.

14.3%Headshot accuracy

32.7%Accuracy (enemy spotted)

38.2%Spray accuracy

77.1%Counter-strafing

7.9°Preaim

588msReaction time

17.6%T opening success

43.9%CT opening success

0.76Enemies flashed / flash

14.2%Flash assists

10.20HE damage / grenade

2.64Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3143% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.6417 — below the 4 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 17.5557% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	-0.07	9%	26 Aug →
mirage	13–2	0.07	9%	20 Aug →
dust2	13–6	-0.01	13%	20 Aug →
ancient	2–13	0.01	29%	20 Aug →
mirage	13–11	0.00	15%	19 Aug →
inferno	13–6	-0.01	6%	19 Aug →
ancient	13–3	0.03	22%	19 Aug →
anubis	13–1	0.02	0%	19 Aug →
nuke	15–15	-0.07	15%	14 Aug →
cache	5–13	-0.07	0%	14 Aug →
ancient	14–16	0.02	17%	14 Aug →
mirage	13–7	-0.01	17%	14 Aug →
ancient	13–7	0.04	21%	10 Aug →
ancient	13–10	0.04	13%	10 Aug →
dust2	13–11	-0.02	21%	6 Aug →
nuke	8–13	-0.02	10%	6 Aug →
mirage	8–13	-0.05	14%	5 Aug →
anubis	13–9	-0.10	13%	5 Aug →
inferno	11–13	-0.01	10%	3 Aug →
dust2	13–10	0.00	22%	3 Aug →
inferno	13–5	-0.04	23%	3 Aug →
anubis	13–10	0.01	17%	2 Aug →
ancient	13–6	0.01	19%	1 Aug →
mirage	4–13	-0.07	9%	31 Jul →
anubis	13–8	-0.04	15%	31 Jul →
mirage	7–13	0.04	14%	29 Jul →
inferno	13–4	0.01	6%	27 Jul →
mirage	0–13	-0.04	0%	27 Jul →
dust2	11–13	-0.04	31%	27 Jul →
mirage	13–2	-0.00	6%	27 Jul →
nuke	16–12	-0.00	6%	27 Jul →
dust2	13–9	-0.04	18%	27 Jul →
mirage	3–13	-0.07	10%	26 Jul →
nuke	13–8	-0.05	18%	24 Jul →
inferno	0–13	-0.05	0%	24 Jul →
nuke	10–13	-0.01	20%	24 Jul →
inferno	9–13	-0.02	17%	24 Jul →
cache	8–13	-0.04	23%	23 Jul →
dust2	7–13	-0.03	17%	23 Jul →
dust2	11–13	-0.06	18%	23 Jul →
mirage	6–13	-0.07	20%	23 Jul →
dust2	11–13	-0.08	20%	23 Jul →
ancient	8–13	0.00	25%	23 Jul →
dust2	5–13	-0.06	11%	23 Jul →
dust2	13–5	0.05	23%	23 Jul →
dust2	13–7	0.03	11%	23 Jul →
dust2	15–19	-0.00	15%	22 Jul →
anubis	0–13	-0.05	12%	21 Jul →
dust2	13–5	-0.07	18%	21 Jul →
cache	13–4	0.05	16%	21 Jul →
dust2	9–13	-0.02	12%	20 Jul →
dust2	13–5	-0.08	14%	20 Jul →
ancient	4–0	-0.02	0%	20 Jul →
ancient	13–6	0.06	19%	20 Jul →
dust2	8–13	-0.02	26%	18 Jul →
cache	11–13	-0.04	21%	17 Jul →
cache	0–13	-0.02	0%	17 Jul →
ancient	10–13	-0.05	7%	14 Jul →
inferno	10–13	-0.03	16%	14 Jul →
ancient	2–13	-0.04	4%	14 Jul →
dust2	12–16	-0.06	7%	13 Jul →
cache	6–13	-0.10	6%	13 Jul →
mirage	13–8	-0.02	7%	13 Jul →
dust2	13–7	0.00	9%	13 Jul →
anubis	13–9	-0.01	12%	13 Jul →
anubis	10–13	0.01	9%	12 Jul →
dust2	13–7	-0.01	11%	12 Jul →
dust2	13–8	-0.01	16%	11 Jul →
anubis	13–8	0.01	10%	10 Jul →
ancient	13–4	-0.01	30%	10 Jul →
dust2	9–13	-0.02	13%	10 Jul →
mirage	13–0	0.02	15%	10 Jul →
dust2	13–6	0.02	15%	9 Jul →
mirage	13–6	-0.03	12%	9 Jul →
dust2	13–2	0.03	7%	9 Jul →
ancient	13–7	-0.03	20%	8 Jul →
mirage	13–6	-0.01	14%	8 Jul →
dust2	13–6	-0.03	17%	8 Jul →
nuke	11–13	0.03	15%	8 Jul →
anubis	8–13	-0.01	9%	6 Jul →
ancient	13–7	0.00	7%	6 Jul →
mirage	21–25	-0.04	14%	5 Jul →
dust2	10–13	-0.06	15%	5 Jul →
overpass	7–13	-0.03	5%	4 Jul →
anubis	11–13	-0.06	11%	2 Jul →
dust2	13–4	0.10	29%	1 Jul →
cache	13–4	0.02	20%	1 Jul →
dust2	7–13	0.01	16%	1 Jul →
mirage	8–13	-0.07	11%	28 Jun →
dust2	13–8	-0.04	2%	28 Jun →
ancient	7–13	-0.04	11%	26 Jun →
anubis	8–13	-0.06	9%	26 Jun →
mirage	10–13	-0.07	10%	25 Jun →
dust2	13–7	0.03	9%	25 Jun →
ancient	8–13	-0.02	16%	25 Jun →
inferno	13–9	-0.04	13%	24 Jun →
nuke	13–8	-0.04	10%	23 Jun →
nuke	13–6	-0.05	13%	22 Jun →
dust2	4–13	-0.08	13%	22 Jun →
ancient	13–7	-0.05	10%	21 Jun →