jux♱apoze — CS2 Stats

US76561199020873235[U:1:1060607507]Steam profile ↗

669Tracked matches37%Win rate2022Tracked since

977Hours in CS

CSDB Rating3.1 Learning

Premier CS Rating9,329Light Blue band · top ~58.1% of ranked players (population est.)

CSDB Leaderboard#17958 of 24228 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

WingmanSilver Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median	vs Level 2
Headshot rate	32.0%	42.1%	10.2% short
Shot accuracy	3.3%	12.9%	9.6% short
Kill/death ratio	0.54	1.00	0.47 short
Match win rate	27.2%	42.9%	15.7% short

This profile sits below the typical Level 2 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim48

Positioning32

Utility27

0–100 skill scores via Leetify.

Recent form

COLD48–52Last 10048%Win rateLLLLWWWLLL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Aim4.8

Aggression2.0

Utility2.7

Positioning3.2

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 68% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 577ms 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

Aim4.8

Positioning3.2

Utility2.7

Mechanics5.7

Opening Duels0.1

Win Impact0.6

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time574ms−65ms

first ⅓ avg 639ms → last ⅓ avg 574ms

Headshot accuracy11.6%+1.9%

first ⅓ avg 9.7% → last ⅓ avg 11.6%

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

0.17Best rating — inferno 9–3

13–4Biggest win — ancient

9Longest win streak

L4Current streak

13–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 64% over 14dust2Weakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	20	11–9	55%	-0.03
ancient	C	19	8–11	42%	-0.04
inferno	B	17	8–9	47%	-0.02
dust2	D	16	5–11	31%	-0.05
anubis	A	14	9–5	64%	-0.03
nuke	A	11	6–5	55%	-0.04
mirage	—	3	1–2	33%	-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,579Lifetime kills

0.54K/D

1,489Matches

27.2%Match win rate

32.0%Headshot %

3.3%Shot accuracy

980MVPs

977Hours (in match)

972Bombs planted

184Bombs defused

Most-used weapons

M4A4 / M4A1-S2,519

AK-472,504

MP7626

P90616

Galil AR500

FAMAS422

Glock-18391

P2000 / USP-S341

AWP273

MAC-10246

Lifetime map wins

1,412nuke

1,399dust2

1,215inferno

751train

560vertigo

202office

17italy

13lake

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

Faceit stats

Combat

17Matches

24%Win rate

0.41Avg K/D

—ADR

28%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLL

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.

10.3%Headshot accuracy

33.6%Accuracy (enemy spotted)

30.5%Spray accuracy

75.8%Counter-strafing

10.5°Preaim

577msReaction time

17.5%T opening success

30.7%CT opening success

0.26Enemies flashed / flash

6.6%Flash assists

11.13HE damage / grenade

1.41Flashes / 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 10.3274% — below the 15% mark we flag
Aim Training →
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 0.2613 — 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 17.526% — below the 40% mark we flag

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.

31% win rate across 16 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
dust2	3–13	-0.11	17%	29 Aug →
ancient	11–13	-0.03	7%	28 Aug →
anubis	11–13	-0.04	19%	28 Aug →
dust2	8–13	-0.05	17%	27 Aug →
nuke	13–5	-0.09	8%	26 Aug →
ancient	13–4	0.00	7%	26 Aug →
inferno	9–3	0.17	8%	26 Aug →
dust2	7–13	-0.06	16%	26 Aug →
cache	2–13	-0.07	6%	25 Aug →
dust2	10–13	-0.05	14%	25 Aug →
cache	13–11	-0.02	5%	24 Aug →
dust2	13–10	-0.05	17%	24 Aug →
nuke	11–13	-0.07	16%	22 Aug →
anubis	12–16	-0.05	11%	22 Aug →
cache	1–13	-0.08	20%	22 Aug →
ancient	4–13	-0.11	5%	21 Aug →
anubis	16–14	-0.05	12%	20 Aug →
dust2	13–6	-0.03	6%	20 Aug →
nuke	7–13	-0.04	12%	19 Aug →
ancient	7–13	-0.07	5%	19 Aug →
cache	13–6	-0.03	4%	19 Aug →
inferno	8–13	-0.03	13%	19 Aug →
cache	16–14	-0.01	8%	18 Aug →
nuke	13–10	-0.04	6%	17 Aug →
ancient	10–13	-0.05	15%	15 Aug →
inferno	13–11	-0.08	2%	15 Aug →
anubis	10–13	0.01	5%	14 Aug →
inferno	5–13	-0.05	24%	14 Aug →
anubis	13–7	-0.05	2%	14 Aug →
mirage	3–13	-0.10	4%	13 Aug →
dust2	12–16	-0.07	9%	13 Aug →
mirage	4–0	-0.08	50%	13 Aug →
cache	9–13	-0.05	14%	13 Aug →
inferno	13–8	-0.06	3%	13 Aug →
inferno	6–13	-0.04	8%	13 Aug →
cache	13–11	-0.05	10%	12 Aug →
ancient	13–8	0.03	8%	12 Aug →
nuke	13–6	-0.04	7%	12 Aug →
anubis	11–13	-0.03	15%	11 Aug →
dust2	11–13	-0.03	9%	11 Aug →
anubis	13–9	-0.05	11%	11 Aug →
inferno	9–1	0.09	6%	10 Aug →
anubis	13–5	0.08	9%	10 Aug →
inferno	13–6	0.08	19%	10 Aug →
ancient	13–8	-0.06	9%	9 Aug →
cache	13–8	0.00	11%	9 Aug →
anubis	13–6	-0.00	7%	9 Aug →
nuke	5–0	0.00	0%	9 Aug →
ancient	13–10	-0.01	4%	9 Aug →
dust2	10–13	-0.05	7%	9 Aug →
inferno	6–13	-0.08	18%	9 Aug →
cache	13–7	0.01	0%	8 Aug →
nuke	13–9	-0.01	9%	8 Aug →
ancient	8–13	-0.00	10%	7 Aug →
cache	2–13	-0.11	8%	7 Aug →
inferno	13–16	-0.03	4%	6 Aug →
anubis	13–11	0.00	12%	6 Aug →
nuke	7–13	0.02	12%	5 Aug →
ancient	10–13	-0.05	15%	5 Aug →
cache	8–13	-0.06	7%	5 Aug →
inferno	9–13	-0.01	14%	5 Aug →
cache	7–13	-0.04	7%	4 Aug →
dust2	5–13	-0.04	11%	4 Aug →
ancient	16–14	-0.01	14%	4 Aug →
dust2	3–13	-0.11	0%	4 Aug →
cache	16–14	-0.05	10%	4 Aug →
ancient	11–13	-0.03	5%	3 Aug →
cache	13–4	0.05	15%	3 Aug →
ancient	16–12	-0.11	6%	3 Aug →
ancient	13–10	-0.07	7%	2 Aug →
nuke	5–13	-0.09	2%	2 Aug →
anubis	13–11	-0.05	2%	1 Aug →
inferno	13–9	-0.04	14%	31 Jul →
ancient	11–13	-0.04	7%	31 Jul →
dust2	3–13	-0.11	22%	30 Jul →
ancient	8–13	-0.09	10%	30 Jul →
mirage	3–13	-0.08	6%	30 Jul →
inferno	2–13	-0.08	3%	30 Jul →
cache	9–13	-0.01	5%	30 Jul →
dust2	11–13	-0.02	10%	30 Jul →
cache	9–13	-0.05	6%	29 Jul →
cache	13–11	0.04	16%	29 Jul →
inferno	14–16	-0.06	14%	28 Jul →
anubis	13–11	-0.04	8%	28 Jul →
inferno	9–13	-0.08	6%	27 Jul →
cache	13–9	-0.02	12%	25 Jul →
nuke	13–11	0.00	9%	25 Jul →
cache	13–5	-0.09	9%	23 Jul →
ancient	13–10	0.00	12%	22 Jul →
anubis	13–6	-0.06	14%	22 Jul →
inferno	13–6	-0.03	7%	22 Jul →
dust2	16–14	0.01	20%	22 Jul →
anubis	5–13	-0.08	4%	22 Jul →
cache	9–13	-0.03	7%	22 Jul →
dust2	6–0	0.01	14%	22 Jul →
ancient	9–13	-0.00	9%	21 Jul →
nuke	11–13	-0.04	13%	21 Jul →
ancient	8–13	-0.08	0%	21 Jul →
dust2	13–5	-0.01	17%	21 Jul →
inferno	13–10	-0.03	17%	20 Jul →