NuggetGuardian — CS2 Stats

DK76561198132278621[U:1:172012893]Steam profile ↗✓ No bans

2,682Tracked matches70%Win rate2020Tracked since

4,149Hours in CS28Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating24,861Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.2% of ranked players (population est.)

CSDB Leaderboard#3551 of 22556 tracked

FaceitLevel 10 · 2,281 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	49.7%	52.0%
Shot accuracy	12.7%	13.7%
Kill/death ratio	0.99	1.08
Match win rate	46.8%	48.8%

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Performance scores

Aim79

Positioning53

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateWLLWWLWLWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression7.4

Utility4.7

Positioning5.3

Opening Duels3.6

Clutch4.0

Strong CT-side opener

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 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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 52% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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

Positioning5.3

Utility4.7

Mechanics7.4

Opening Duels3.6

Win Impact10.0

Composite 6.7/10 (Solid), 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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time573ms−17ms

first ⅓ avg 590ms → last ⅓ avg 573ms

Headshot accuracy17.8%−0.1%

first ⅓ avg 17.9% → last ⅓ avg 17.8%

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.

Highlights

0.09Best rating — nuke 19–16

13–2Biggest win — dust2

7Longest win streak

12–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

vertigoBest map · 67% over 6ancientWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	13–12	52%	-0.00
nuke	A	21	13–8	62%	-0.00
ancient	C	18	7–11	39%	-0.03
inferno	A	17	10–7	59%	-0.03
anubis	C	9	4–5	44%	-0.00
vertigo	S	6	4–2	67%	-0.04
cache	—	4	3–1	75%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

134,409Lifetime kills

0.99K/D

5,874Matches

46.8%Match win rate

49.7%Headshot %

12.7%Shot accuracy

17,200MVPs

3,549Hours (in match)

5,531Bombs planted

1,906Bombs defused

Most-used weapons

AK-4757,919

M4A4 / M4A1-S24,083

P2000 / USP-S8,348

AWP6,483

Desert Eagle5,673

Glock-184,933

MP93,071

Knife2,063

MAC-102,045

Galil AR1,935

Lifetime map wins

13,176inferno

6,877dust2

5,589vertigo

4,100nuke

1,894train

576office

548cbble

160lake

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

Faceit stats

Combat

1,916Matches

52%Win rate

0.99Avg K/D

77.8ADR

47%Headshot %

Clutches & streaks

40%1v1 clutch win

26%1v2 clutch win

18Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	242	52%	1.05	15.2
Dust2	221	46%	0.96	15.1
Anubis	197	54%	0.97	15.6
Nuke	165	58%	1.02	15.6
Ancient	104	49%	0.92	14.2
Overpass	89	53%	1.10	16.4
Vertigo	59	59%	0.98	15.0
Train	37	54%	1.07	15.2

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.

17.9%Headshot accuracy

35.8%Accuracy (enemy spotted)

42.0%Spray accuracy

83.5%Counter-strafing

9.6°Preaim

565msReaction time

36.6%T opening success

52.3%CT opening success

0.46Enemies flashed / flash

10.7%Flash assists

9.32HE damage / grenade

6.36Flashes / 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 0.4632 — 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 36.5664% — 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.

39% win rate across 18 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
ancient	16–13	0.04	18%	28 Aug →
ancient	16–19	-0.04	22%	27 Aug →
dust2	5–13	-0.04	11%	27 Aug →
nuke	13–7	0.01	15%	27 Aug →
nuke	13–11	-0.01	10%	26 Aug →
dust2	16–19	0.05	22%	24 Aug →
anubis	13–11	0.02	17%	24 Aug →
dust2	9–13	-0.03	26%	23 Aug →
anubis	13–11	-0.02	7%	23 Aug →
vertigo	6–13	-0.07	15%	23 Aug →
anubis	13–8	0.05	17%	21 Aug →
cache	13–8	-0.00	15%	21 Aug →
inferno	13–6	-0.08	17%	21 Aug →
dust2	12–16	-0.02	17%	21 Aug →
cache	13–7	0.04	18%	21 Aug →
inferno	13–7	-0.03	23%	20 Aug →
dust2	13–10	0.01	21%	20 Aug →
vertigo	13–9	0.03	19%	20 Aug →
ancient	17–19	-0.02	24%	19 Aug →
dust2	13–7	0.05	33%	19 Aug →
ancient	13–11	-0.04	14%	18 Aug →
nuke	13–7	-0.01	20%	18 Aug →
vertigo	13–9	-0.09	13%	17 Aug →
dust2	13–11	-0.01	8%	17 Aug →
vertigo	13–7	-0.07	20%	17 Aug →
inferno	7–13	-0.03	30%	16 Aug →
dust2	13–10	-0.02	19%	16 Aug →
inferno	13–11	-0.03	15%	16 Aug →
nuke	7–13	-0.03	19%	15 Aug →
dust2	13–11	0.00	9%	14 Aug →
ancient	3–13	-0.09	19%	9 Aug →
nuke	12–16	-0.05	21%	9 Aug →
anubis	3–13	-0.07	14%	9 Aug →
inferno	13–11	-0.07	15%	8 Aug →
dust2	13–10	-0.01	14%	8 Aug →
nuke	13–4	-0.00	26%	8 Aug →
nuke	9–13	0.03	19%	7 Aug →
dust2	13–2	0.07	21%	7 Aug →
nuke	13–10	-0.06	14%	7 Aug →
inferno	13–8	-0.02	19%	7 Aug →
anubis	10–13	-0.03	16%	6 Aug →
vertigo	13–11	0.02	10%	6 Aug →
nuke	13–9	0.06	20%	5 Aug →
ancient	6–13	-0.05	21%	5 Aug →
vertigo	6–13	-0.07	12%	5 Aug →
ancient	7–13	-0.02	14%	2 Aug →
inferno	13–7	-0.02	13%	2 Aug →
dust2	7–13	0.01	18%	2 Aug →
nuke	10–13	0.00	16%	30 Jul →
dust2	16–19	0.00	26%	30 Jul →
nuke	7–13	-0.04	11%	28 Jul →
inferno	10–13	-0.02	15%	28 Jul →
ancient	16–13	-0.04	24%	28 Jul →
dust2	1–13	-0.06	22%	28 Jul →
ancient	5–13	-0.03	10%	26 Jul →
ancient	13–11	-0.05	5%	26 Jul →
dust2	6–13	-0.04	14%	26 Jul →
inferno	4–13	-0.08	7%	21 Jul →
inferno	8–13	-0.07	9%	20 Jul →
dust2	9–13	-0.06	20%	20 Jul →
inferno	7–13	-0.01	24%	19 Jul →
ancient	10–13	-0.01	17%	19 Jul →
nuke	13–5	0.02	12%	19 Jul →
dust2	13–7	0.08	18%	18 Jul →
inferno	13–7	-0.00	17%	18 Jul →
ancient	9–13	-0.00	9%	18 Jul →
ancient	13–4	-0.04	12%	18 Jul →
dust2	13–5	-0.07	26%	18 Jul →
cache	8–13	-0.03	21%	18 Jul →
nuke	11–13	-0.05	16%	18 Jul →
anubis	13–4	0.05	19%	18 Jul →
cache	13–7	-0.01	15%	18 Jul →
anubis	3–13	-0.02	32%	18 Jul →
ancient	11–13	-0.01	23%	16 Jul →
inferno	6–13	-0.06	3%	16 Jul →
nuke	2–13	-0.05	12%	16 Jul →
ancient	3–13	-0.08	12%	13 Jul →
dust2	9–13	-0.01	11%	13 Jul →
inferno	4–13	-0.05	17%	12 Jul →
nuke	13–10	-0.02	9%	12 Jul →
dust2	13–4	0.09	18%	12 Jul →
nuke	10–13	-0.02	22%	11 Jul →
nuke	13–7	0.04	11%	11 Jul →
dust2	11–13	-0.02	24%	11 Jul →
nuke	13–10	0.06	16%	11 Jul →
ancient	13–11	-0.02	20%	11 Jul →
inferno	13–2	-0.05	15%	9 Jul →
ancient	13–8	0.01	23%	9 Jul →
dust2	13–10	0.00	16%	9 Jul →
nuke	13–10	-0.04	17%	9 Jul →
dust2	13–11	-0.02	21%	8 Jul →
anubis	6–13	-0.05	21%	8 Jul →
ancient	5–13	-0.02	11%	8 Jul →
nuke	19–16	0.09	20%	7 Jul →
inferno	13–3	0.01	15%	7 Jul →
dust2	10–13	-0.00	25%	7 Jul →
nuke	13–9	0.04	23%	6 Jul →
anubis	6–13	0.04	27%	6 Jul →
inferno	13–5	0.03	13%	6 Jul →
dust2	13–6	0.03	17%	6 Jul →