naulty — CS2 Stats

US76561198325394378[U:1:365128650]Steam profile ↗✓ No bans

2,450Tracked matches55%Win rate2020Tracked since

5,330Hours in CS62Hrs last 2 wks

CSDB Rating5.2 DevelopingPassive Rifler

Premier CS Rating22,539Top 50% of 819 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)

CSDB Leaderboard#2491 of 7984 tracked

FaceitLevel 9 · 1,496 ELOTop 20.7% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	vs Level 10
Headshot rate	37.1%	52.8%	15.6% short
Shot accuracy	12.9%	13.7%	0.8% short
Kill/death ratio	1.10	1.08	meets
Match win rate	42.1%	49.2%	7.1% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim61

Positioning53

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–41–8Last 10051%Win rateWWWLLLLLTW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim6.1

Aggression4.0

Utility5.4

Positioning5.3

Opening Duels0.0

Clutch4.6

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 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 553ms 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

Aim6.1

Positioning5.3

Utility5.4

Mechanics4.5

Opening Duels0.4

Win Impact6.7

Composite 5.2/10 (Developing), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time531ms−30ms

first ⅓ avg 560ms → last ⅓ avg 531ms

Headshot accuracy13.5%−2.7%

first ⅓ avg 16.2% → last ⅓ avg 13.5%

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

0.14Best rating — dust2 13–2

13–0Biggest win — cache

6Longest win streak

W3Current streak

7–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 75% over 8ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	40	18–22	45%	0.01
mirage	A	14	8–6	57%	0.02
anubis	S	11	8–3	73%	0.01
nuke	B	10	5–5	50%	0.01
cache	C	8	3–5	38%	-0.00
inferno	S	8	6–2	75%	0.02
ancient	D	5	1–4	20%	0.01
train	—	2	1–1	50%	0.03
vertigo	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

159,731Lifetime kills

1.10K/D · Top 50% of Pink band

7,114Matches

42.1%Match win rate

37.1%Headshot %

12.9%Shot accuracy · Top 50% of Pink band

16,905MVPs

2,704Hours (in match)

6,226Bombs planted

1,741Bombs defused

Most-used weapons

AK-4748,626

M4A4 / M4A1-S25,104

AWP23,832

P2000 / USP-S10,541

Desert Eagle9,068

Glock-187,626

FAMAS3,564

SG 5533,076

AUG3,071

Galil AR2,749

Lifetime map wins

18,147dust2

7,127inferno

3,950nuke

1,956vertigo

1,761train

1,055office

338lake

146cbble

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

Faceit stats

Combat

915Matches

50%Win rate

1.13Avg K/D

78.7ADR

35%Headshot %

Clutches & streaks

43%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	84	54%	1.13	15.6
Mirage	73	45%	1.08	15.4
Ancient	37	59%	1.09	15.8
Nuke	31	61%	1.15	16.2
Anubis	30	57%	1.19	16.1
Inferno	29	48%	1.13	16.3
Cache	11	55%	1.03	15.9
Overpass	8	38%	0.93	13.0

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.

13.8%Headshot accuracy

33.8%Accuracy (enemy spotted)

36.2%Spray accuracy

70.1%Counter-strafing

9.1°Preaim

553msReaction time

26.8%T opening success

33.2%CT opening success

0.62Enemies flashed / flash

7.8%Flash assists

5.50HE damage / grenade

9.53Flashes / 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 13.8353% — below the 15% mark we flag
Aim Training →
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 26.8075% — 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.

20% win rate across 5 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
mirage	13–5	0.10	16%	28 Aug →
dust2	13–3	-0.01	17%	28 Aug →
dust2	13–11	-0.06	7%	27 Aug →
cache	9–13	-0.01	6%	27 Aug →
cache	7–13	-0.01	20%	27 Aug →
mirage	7–13	0.01	11%	26 Aug →
dust2	4–13	-0.04	9%	26 Aug →
dust2	0–1	-0.17	0%	26 Aug →
dust2	12–12	0.05	22%	26 Aug →
mirage	13–3	0.03	26%	25 Aug →
nuke	13–6	0.09	21%	25 Aug →
anubis	13–11	-0.03	13%	24 Aug →
inferno	9–2	0.00	17%	24 Aug →
nuke	11–13	-0.02	8%	24 Aug →
cache	13–0	0.11	9%	24 Aug →
dust2	13–7	-0.00	17%	23 Aug →
dust2	13–10	-0.02	10%	23 Aug →
anubis	6–13	-0.04	18%	23 Aug →
dust2	9–13	-0.00	12%	23 Aug →
nuke	11–13	0.00	14%	23 Aug →
anubis	16–13	-0.00	15%	21 Aug →
mirage	2–13	-0.08	13%	21 Aug →
ancient	13–11	-0.01	17%	20 Aug →
dust2	13–2	0.14	23%	20 Aug →
dust2	7–13	-0.05	2%	20 Aug →
dust2	13–11	-0.03	8%	20 Aug →
anubis	13–10	0.04	14%	20 Aug →
anubis	13–11	-0.01	9%	19 Aug →
nuke	7–13	-0.03	11%	19 Aug →
dust2	8–13	0.01	27%	19 Aug →
anubis	13–10	-0.00	14%	19 Aug →
anubis	13–10	0.07	18%	18 Aug →
nuke	16–13	0.02	4%	18 Aug →
dust2	11–13	0.03	20%	18 Aug →
nuke	13–7	0.04	14%	16 Aug →
dust2	9–13	-0.02	17%	16 Aug →
dust2	11–13	0.01	11%	16 Aug →
dust2	13–11	-0.01	10%	16 Aug →
train	13–5	0.06	4%	16 Aug →
dust2	9–13	0.07	17%	16 Aug →
mirage	12–12	0.08	11%	16 Aug →
inferno	2–13	-0.03	20%	16 Aug →
anubis	13–7	-0.01	9%	16 Aug →
mirage	13–8	0.06	16%	15 Aug →
dust2	13–6	0.03	12%	15 Aug →
cache	13–10	-0.01	10%	15 Aug →
cache	1–13	-0.03	24%	14 Aug →
mirage	13–7	0.05	10%	13 Aug →
mirage	13–9	-0.00	14%	13 Aug →
inferno	13–8	0.08	13%	12 Aug →
train	9–13	-0.00	6%	12 Aug →
vertigo	13–5	-0.01	15%	12 Aug →
mirage	13–11	-0.03	20%	11 Aug →
inferno	13–6	-0.01	10%	11 Aug →
nuke	12–12	-0.02	10%	9 Aug →
dust2	13–2	0.08	23%	9 Aug →
dust2	7–13	-0.08	8%	9 Aug →
anubis	8–13	0.00	14%	8 Aug →
dust2	13–2	0.05	33%	8 Aug →
dust2	7–13	0.00	13%	8 Aug →
nuke	11–13	-0.01	9%	8 Aug →
ancient	11–13	0.03	9%	8 Aug →
dust2	13–4	0.03	13%	8 Aug →
anubis	10–13	0.02	6%	8 Aug →
inferno	13–8	0.07	19%	8 Aug →
anubis	13–5	0.06	10%	8 Aug →
dust2	13–9	-0.03	17%	7 Aug →
inferno	13–6	0.05	19%	7 Aug →
mirage	13–10	0.00	14%	6 Aug →
inferno	13–6	0.08	11%	6 Aug →
dust2	12–12	0.04	15%	6 Aug →
ancient	2–13	0.03	18%	5 Aug →
cache	10–13	0.01	25%	5 Aug →
dust2	13–9	0.05	30%	4 Aug →
nuke	13–7	0.05	20%	4 Aug →
dust2	4–13	-0.01	12%	4 Aug →
dust2	13–5	0.03	21%	3 Aug →
mirage	1–13	-0.10	13%	3 Aug →
dust2	13–5	0.09	18%	2 Aug →
dust2	8–1	0.06	15%	2 Aug →
ancient	7–13	0.02	13%	2 Aug →
dust2	5–13	-0.04	28%	2 Aug →
mirage	13–3	0.09	17%	2 Aug →
vertigo	8–13	-0.04	10%	2 Aug →
cache	13–7	-0.01	9%	2 Aug →
dust2	12–12	-0.02	10%	2 Aug →
ancient	12–12	0.00	10%	2 Aug →
dust2	8–13	-0.01	7%	2 Aug →
inferno	1–13	-0.10	5%	2 Aug →
dust2	8–13	0.03	19%	2 Aug →
dust2	12–12	0.04	19%	2 Aug →
dust2	13–8	-0.02	13%	2 Aug →
mirage	0–4	-0.07	33%	2 Aug →
dust2	10–13	-0.01	7%	2 Aug →
dust2	12–12	0.05	22%	2 Aug →
dust2	13–7	0.05	14%	1 Aug →
nuke	13–9	-0.00	18%	1 Aug →
dust2	6–13	0.02	27%	1 Aug →
mirage	10–13	0.10	10%	1 Aug →
cache	8–13	-0.06	14%	1 Aug →