-1000elo/h dgNeun — CS2 Stats

76561198022519088[U:1:62253360]✓ No bans

1,216Tracked matches39%Win rate2020Tracked since

2,847Hours in CS21Hrs last 2 wks

CSDB Rating4.0 Developing

Premier CS Rating15,739Purple band · top ~25.5% of ranked players (population est.)

CSDB Leaderboard#30133 of 52244 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median	Level 5 median	vs Level 5
Headshot rate	43.9%	42.7%	44.0%	meets
Shot accuracy	15.8%	10.8%	11.6%	above
Kill/death ratio	0.85	1.00	1.03	0.18 short
Match win rate	44.3%	44.1%	45.1%	meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim52

Positioning37

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateTWWWLLLWWL

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

Player DNA

Aim5.2

Aggression2.0

Utility5.6

Positioning3.7

Opening Duels0.0

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 72% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 607ms 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

Aim5.2

Positioning3.7

Utility5.6

Mechanics4.5

Opening Duels0.0

Win Impact1.4

Composite 4.0/10 (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-0.02−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time605ms−68ms

first ⅓ avg 673ms → last ⅓ avg 605ms

Headshot accuracy13.9%−3.4%

first ⅓ avg 17.3% → last ⅓ avg 13.9%

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 — cache 13–9

13–2Biggest win — inferno

5Longest win streak

7–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 62% over 13nukeWeakest map · 36% over 22

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	22	8–14	36%	-0.02
inferno	A	18	11–7	61%	0.00
cache	C	18	7–11	39%	-0.00
anubis	C	16	6–10	38%	-0.03
ancient	A	13	8–5	62%	-0.03
dust2	—	4	3–1	75%	0.01
train	—	3	0–3	0%	0.01
overpass	—	2	0–2	0%	-0.07
vertigo	—	2	0–2	0%	-0.03
alpine	—	1	0–1	0%	-0.11
mirage	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,313Lifetime kills

0.85K/D

3,837Matches

44.3%Match win rate · Top 50% of Level 4 players

43.9%Headshot % · Top 50% of Level 4 players

15.8%Shot accuracy · Top 25% of Level 4 players

7,028MVPs

1,594Hours (in match)

4,949Bombs planted

787Bombs defused

Most-used weapons

AK-4716,701

M4A4 / M4A1-S9,610

P2000 / USP-S4,886

Desert Eagle4,207

AWP4,188

P2502,452

SG 5531,855

Glock-181,772

UMP-451,511

Tec-91,385

Lifetime map wins

6,565inferno

4,112dust2

3,093nuke

1,673train

1,181cbble

872vertigo

178office

64assault

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

Faceit stats

Combat

44Matches

43%Win rate

0.68Avg K/D

—ADR

40%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

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.

13.3%Headshot accuracy

35.0%Accuracy (enemy spotted)

39.6%Spray accuracy

70.1%Counter-strafing

11.1°Preaim

607msReaction time

21.4%T opening success

27.6%CT opening success

0.51Enemies flashed / flash

5.5%Flash assists

9.02HE damage / grenade

9.21Flashes / 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 13.2613% — 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 21.3728% — below the 40% mark we flag

Spend your practice time on Nuke

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	15–15	-0.08	11%	30 Aug →
inferno	13–6	-0.04	7%	30 Aug →
cache	13–9	-0.05	23%	30 Aug →
nuke	13–10	-0.02	13%	30 Aug →
inferno	11–13	0.05	12%	30 Aug →
anubis	10–13	-0.08	4%	30 Aug →
anubis	5–13	-0.02	6%	30 Aug →
nuke	13–11	0.00	13%	28 Aug →
inferno	13–11	-0.00	19%	28 Aug →
nuke	6–13	-0.07	7%	28 Aug →
inferno	9–13	0.00	7%	26 Aug →
ancient	9–3	-0.01	11%	26 Aug →
ancient	3–13	-0.05	10%	22 Aug →
inferno	13–10	-0.02	18%	22 Aug →
nuke	13–16	-0.01	13%	22 Aug →
dust2	2–13	-0.07	16%	19 Aug →
cache	2–13	-0.03	8%	19 Aug →
inferno	8–13	-0.02	4%	17 Aug →
inferno	13–6	-0.01	9%	17 Aug →
nuke	13–5	0.09	12%	16 Aug →
cache	2–13	-0.04	12%	16 Aug →
nuke	8–13	-0.04	3%	15 Aug →
nuke	6–13	-0.08	6%	11 Aug →
overpass	8–13	-0.07	21%	11 Aug →
anubis	1–13	-0.11	22%	9 Aug →
nuke	12–12	-0.01	24%	9 Aug →
cache	13–9	0.05	26%	9 Aug →
ancient	8–13	-0.04	27%	8 Aug →
anubis	4–13	-0.02	18%	8 Aug →
nuke	16–12	0.02	13%	8 Aug →
anubis	9–13	-0.02	19%	7 Aug →
ancient	13–10	-0.03	25%	7 Aug →
inferno	13–6	0.08	20%	5 Aug →
nuke	8–13	-0.08	10%	5 Aug →
anubis	13–4	-0.03	19%	5 Aug →
nuke	3–13	-0.10	8%	5 Aug →
inferno	13–7	-0.02	7%	1 Aug →
anubis	5–13	-0.03	20%	31 Jul →
nuke	11–13	-0.03	9%	31 Jul →
ancient	13–9	0.01	16%	31 Jul →
inferno	13–8	0.02	10%	31 Jul →
cache	5–13	-0.05	14%	31 Jul →
anubis	13–8	-0.05	3%	31 Jul →
inferno	13–2	0.02	23%	31 Jul →
dust2	13–7	0.01	30%	31 Jul →
ancient	13–6	-0.01	14%	31 Jul →
nuke	9–13	-0.05	38%	29 Jul →
anubis	13–4	0.01	12%	29 Jul →
nuke	13–4	0.04	30%	29 Jul →
nuke	1–13	-0.00	11%	27 Jul →
inferno	6–13	-0.05	16%	17 Jul →
ancient	3–13	-0.07	18%	17 Jul →
inferno	13–7	-0.03	13%	15 Jul →
inferno	13–7	-0.02	23%	30 Jun →
dust2	16–13	-0.00	19%	30 Jun →
ancient	13–8	-0.03	10%	30 Jun →
nuke	5–1	0.02	60%	28 Jun →
cache	5–13	-0.04	28%	28 Jun →
nuke	6–13	-0.07	31%	25 Jun →
cache	3–13	-0.06	13%	25 Jun →
alpine	11–13	-0.11	13%	21 Jun →
train	12–12	-0.01	19%	21 Jun →
anubis	13–10	-0.00	24%	21 Jun →
cache	13–11	0.04	20%	17 Jun →
train	10–13	0.01	8%	17 Jun →
cache	8–13	0.01	25%	17 Jun →
nuke	3–13	-0.08	23%	17 Jun →
vertigo	6–13	0.01	17%	17 Jun →
ancient	13–5	0.00	15%	16 Jun →
ancient	4–13	-0.04	24%	15 Jun →
anubis	16–14	0.03	20%	15 Jun →
ancient	13–11	-0.01	16%	15 Jun →
inferno	9–13	-0.02	10%	15 Jun →
nuke	13–8	-0.00	15%	15 Jun →
nuke	13–11	-0.00	7%	15 Jun →
anubis	9–13	-0.00	16%	15 Jun →
anubis	7–13	-0.08	13%	12 Jun →
cache	8–13	-0.06	23%	12 Jun →
anubis	10–13	-0.05	15%	10 Jun →
mirage	11–13	-0.05	19%	5 Jun →
cache	9–13	0.02	20%	5 Jun →
ancient	13–11	-0.06	9%	4 Jun →
dust2	13–7	0.08	20%	4 Jun →
vertigo	3–13	-0.07	18%	3 Jun →
overpass	7–13	-0.07	5%	31 May →
cache	13–10	-0.04	29%	31 May →
train	8–13	0.04	26%	31 May →
nuke	9–13	0.02	17%	29 May →
inferno	11–13	-0.00	24%	29 May →
inferno	11–13	0.04	19%	28 May →
nuke	9–13	-0.00	9%	28 May →
anubis	13–9	0.02	13%	28 May →
anubis	7–13	-0.04	17%	28 May →
cache	7–13	0.08	20%	26 May →
inferno	9–4	0.09	30%	26 May →
cache	13–9	0.10	19%	25 May →
cache	10–13	-0.03	9%	25 May →
cache	13–10	0.07	12%	18 May →
cache	8–13	-0.01	18%	18 May →
cache	13–3	-0.01	25%	18 May →