Fnugz — CS2 Stats

DK76561198012891563[U:1:52625835]Steam profile ↗✓ No bans

2,428Tracked matches57%Win rate2020Tracked since

10,247Hours in CS15Hrs last 2 wks

CSDB Rating7.6 StrongSupport

Premier CS Rating24,461Pink band · top ~3.6% of ranked players (population est.)

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning64

Utility84

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWWLLLLWLWW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +2.9pp headshot accuracy · +53ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 23%
Avg reaction 599ms

Last 10

5–5 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 18%
Avg reaction 568ms

Last 20

13–7 · 65% win rate
Avg rating 0.03
Avg headshot accuracy 16%
Avg reaction 542ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim8.6

Utility8.4

Positioning6.4

Opening Duels5.3

Clutch3.6

Sharp aimerEffective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 85% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Utility. Utility score of 84 — grenade impact well above the norm.

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

Aim8.6

Positioning6.4

Utility8.4

Mechanics7.2

Opening Duels5.5

Win Impact7.2

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time539ms+24ms

first ⅓ avg 516ms → last ⅓ avg 539ms

Headshot accuracy16.8%+0.4%

first ⅓ avg 16.4% → last ⅓ avg 16.8%

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.

Personal bests

0.19Best match rating · 13–6 · ancient, 3 Oct →

45%Best headshot accuracy · 5–13 · inferno, 18 Oct →

375msFastest reaction time · 13–3 · inferno, 16 Oct →

13–1Biggest win · cache, 31 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W2Current streak

6–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 69% over 29dust2Weakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
cache	S	29	20–9	69%	0.04
inferno	S	20	13–7	65%	0.04
ancient	B	13	6–7	46%	0.02
mirage	D	11	3–8	27%	0.04
dust2	D	11	2–9	18%	0.01
anubis	C	8	3–5	38%	-0.02
nuke	C	7	3–4	43%	-0.02
overpass	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

210,542Lifetime kills

1.45K/D

9,158Matches

53.1%Match win rate

42.9%Headshot %

16.8%Shot accuracy

27,916MVPs

4,080Hours (in match)

10,350Bombs planted

2,858Bombs defused

Most-used weapons

AK-4768,371

M4A4 / M4A1-S32,169

AWP20,191

Desert Eagle15,600

P2000 / USP-S12,544

Glock-186,839

P2505,646

MAC-105,317

Tec-94,617

FAMAS3,704

Lifetime map wins

13,344inferno

5,348dust2

5,069nuke

1,971train

1,589vertigo

1,158cbble

264lake

230safehouse

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

Faceit stats

Combat

1,215Matches

57%Win rate

1.39Avg K/D

98.5ADR

41%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
CONTEST Marble	10	50%	1.25	20.6
CONTEST Crude	7	57%	1.53	20.7
CONTEST Coaline	7	57%	1.26	19.4
CONTEST Echolab	7	43%	1.19	19.7
CONTEST Barranco	6	67%	1.64	18.7
CONTEST Bounce	6	50%	1.13	14.5
CONTEST Nevis	6	33%	0.98	16.5
CONTEST Tundra	6	67%	1.57	24.5

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.

17.2%Headshot accuracy

40.0%Accuracy (enemy spotted)

45.0%Spray accuracy

82.3%Counter-strafing

9.3°Preaim

545msReaction time

52.7%T opening success

51.2%CT opening success

0.73Enemies flashed / flash

9.4%Flash assists

13.42HE damage / grenade

17.05Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	13–7	0.09	21%	15 Nov →
inferno	13–9	0.04	21%	14 Nov →
ancient	7–13	-0.03	31%	14 Nov →
mirage	11–13	0.02	19%	14 Nov →
mirage	7–13	-0.03	20%	14 Nov →
mirage	11–13	0.04	14%	14 Nov →
inferno	16–13	0.01	12%	7 Nov →
ancient	7–13	-0.04	8%	7 Nov →
cache	13–5	0.10	14%	7 Nov →
ancient	13–7	0.02	16%	7 Nov →
inferno	13–5	0.08	19%	6 Nov →
cache	13–6	0.07	15%	6 Nov →
ancient	4–13	-0.04	13%	6 Nov →
cache	13–4	0.04	16%	6 Nov →
mirage	13–10	0.05	7%	6 Nov →
cache	13–6	0.00	9%	6 Nov →
anubis	7–13	0.01	20%	31 Oct →
cache	13–11	0.05	17%	31 Oct →
cache	13–1	0.14	17%	31 Oct →
cache	13–2	0.07	17%	31 Oct →
nuke	11–13	0.01	21%	31 Oct →
cache	11–13	0.05	13%	25 Oct →
cache	8–13	-0.02	13%	25 Oct →
nuke	14–16	-0.03	15%	23 Oct →
cache	16–13	0.06	16%	23 Oct →
dust2	6–13	-0.01	10%	23 Oct →
dust2	13–2	0.02	20%	23 Oct →
inferno	13–3	0.02	19%	23 Oct →
inferno	5–13	-0.03	45%	18 Oct →
inferno	13–6	0.11	24%	17 Oct →
ancient	9–13	-0.00	13%	17 Oct →
inferno	13–3	0.06	9%	17 Oct →
anubis	8–13	-0.03	10%	17 Oct →
cache	9–13	0.03	14%	17 Oct →
mirage	9–13	0.07	24%	17 Oct →
inferno	13–5	0.06	12%	16 Oct →
nuke	13–8	-0.01	30%	16 Oct →
dust2	5–13	-0.01	12%	16 Oct →
inferno	13–3	0.12	14%	16 Oct →
cache	16–14	-0.03	4%	16 Oct →
inferno	11–13	0.06	14%	10 Oct →
dust2	14–16	-0.01	16%	10 Oct →
inferno	13–7	-0.00	13%	10 Oct →
dust2	6–13	-0.01	19%	10 Oct →
anubis	6–13	-0.02	14%	10 Oct →
cache	8–13	-0.04	12%	10 Oct →
cache	13–5	0.09	23%	10 Oct →
anubis	11–13	-0.06	16%	6 Oct →
cache	13–11	0.08	21%	6 Oct →
cache	8–13	0.00	16%	3 Oct →
cache	13–5	0.05	11%	3 Oct →
cache	13–7	0.04	19%	3 Oct →
nuke	3–13	-0.10	22%	3 Oct →
nuke	13–6	0.04	9%	3 Oct →
ancient	13–6	0.19	29%	3 Oct →
mirage	13–11	0.01	15%	2 Oct →
inferno	12–12	-0.01	11%	2 Oct →
cache	3–13	-0.02	12%	2 Oct →
dust2	12–16	0.03	23%	2 Oct →
anubis	6–13	-0.04	10%	2 Oct →
inferno	13–9	0.03	15%	26 Sept →
cache	13–1	0.08	20%	26 Sept →
dust2	8–13	-0.00	7%	26 Sept →
inferno	13–4	0.03	9%	26 Sept →
mirage	11–13	0.03	19%	26 Sept →
mirage	13–6	0.05	6%	25 Sept →
ancient	9–13	0.01	14%	25 Sept →
nuke	16–12	-0.01	11%	25 Sept →
inferno	2–13	-0.06	13%	25 Sept →
dust2	13–11	0.07	22%	25 Sept →
cache	13–10	0.02	11%	2 Sept →
inferno	5–13	-0.01	13%	2 Sept →
mirage	9–13	0.07	19%	28 Aug →
inferno	13–7	0.13	13%	28 Aug →
inferno	13–16	0.01	26%	28 Aug →
anubis	13–6	0.03	13%	28 Aug →
mirage	12–12	0.02	13%	23 Aug →
mirage	12–12	0.06	24%	23 Aug →
inferno	4–13	0.11	33%	23 Aug →
cache	11–13	-0.02	21%	23 Aug →
ancient	13–9	-0.03	24%	23 Aug →
anubis	13–7	0.01	13%	23 Aug →
cache	13–9	0.00	15%	23 Aug →
cache	13–11	-0.00	9%	23 Aug →
dust2	8–13	0.06	15%	20 Aug →
ancient	13–7	0.05	6%	20 Aug →
anubis	13–10	-0.03	15%	20 Aug →
nuke	10–13	-0.01	22%	20 Aug →
dust2	12–12	0.07	18%	19 Aug →
cache	10–13	0.10	11%	18 Aug →
ancient	13–3	0.08	11%	18 Aug →
ancient	15–15	0.05	18%	18 Aug →
inferno	13–9	0.01	15%	18 Aug →
ancient	15–15	-0.02	10%	18 Aug →
cache	13–6	0.10	28%	18 Aug →
cache	13–6	0.05	16%	16 Aug →
ancient	13–7	0.02	12%	16 Aug →
cache	13–10	-0.00	29%	16 Aug →
dust2	3–13	-0.05	13%	15 Aug →
cache	9–13	-0.05	11%	15 Aug →