Lux — CS2 Stats

BR76561197985542653[U:1:25276925]Steam profile ↗

951Tracked matches54%Win rate2022Tracked since

2,288Hours in CS37Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating15,675Purple band · top ~25.7% of ranked players (population est.)

CSDB Leaderboard#30750 of 53194 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	49.0%	44.2%	47.1%	above
Shot accuracy	20.5%	11.6%	12.8%	above
Kill/death ratio	1.05	1.03	1.08	0.03 short
Match win rate	22.7%	45.2%	46.6%	23.9% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

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Performance scores

Aim78

Positioning59

Utility58

0–100 skill scores via Leetify.

Recent form

COLD45–44–11Last 10045%Win rateLTLLLLTLWW

Last 10 vs previous 10: -60pp win rate · -0.03 avg rating

Player DNA

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

Aim7.8

Aggression9.5

Utility5.8

Positioning5.9

Opening Duels4.6

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 sh1ro 93% playstyle similarity

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

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

T-side openings. Opening success drops from 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.8

Positioning5.9

Utility5.8

Mechanics6.6

Opening Duels4.6

Win Impact6.4

Composite 6.5/10 (Solid), 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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time535ms−24ms

first ⅓ avg 559ms → last ⅓ avg 535ms

Headshot accuracy14.3%−0.9%

first ⅓ avg 15.2% → last ⅓ avg 14.3%

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

0.23Best rating — dust2 13–2

13–1Biggest win — dust2

5Longest win streak

5–7In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 59% over 17nukeWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	18	7–11	39%	0.03
inferno	A	17	10–7	59%	0.04
cache	B	15	7–8	47%	0.03
mirage	C	14	6–8	43%	0.04
nuke	D	12	4–8	33%	0.02
ancient	C	8	3–5	38%	0.02
train	A	7	4–3	57%	0.03
anubis	C	5	2–3	40%	-0.00
overpass	—	4	2–2	50%	0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

190,993Lifetime kills

1.05K/D · Top 50% of Purple band

7,895Matches

22.7%Match win rate

49.0%Headshot % · Top 50% of Purple band

20.5%Shot accuracy · Top 5% of Purple band

6,601MVPs

1,798Hours (in match)

1,288Bombs planted

433Bombs defused

Most-used weapons

AK-4744,163

SSG 0844,143

M4A4 / M4A1-S35,615

Desert Eagle28,748

AWP9,686

P2000 / USP-S5,065

SG 5533,360

Five-SeveN3,120

Galil AR2,090

Glock-182,042

Lifetime map wins

4,611dust2

2,513inferno

1,580nuke

1,313vertigo

1,190office

941train

643cbble

545italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.5%Headshot accuracy

37.5%Accuracy (enemy spotted)

40.6%Spray accuracy

79.5%Counter-strafing

9.3°Preaim

526msReaction time

39.9%T opening success

56.5%CT opening success

0.60Enemies flashed / flash

3.1%Flash assists

13.19HE damage / grenade

7.29Flashes / 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 14.5108% — 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 39.9367% — 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.

33% win rate across 12 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
dust2	11–13	0.03	14%	30 Aug →
nuke	12–12	0.10	11%	30 Aug →
inferno	11–13	0.04	13%	30 Aug →
mirage	9–13	-0.01	14%	30 Aug →
cache	2–9	-0.04	3%	30 Aug →
nuke	11–13	0.08	17%	29 Aug →
cache	12–12	-0.01	11%	29 Aug →
dust2	8–10	-0.04	20%	29 Aug →
mirage	13–2	0.12	16%	29 Aug →
overpass	11–2	0.04	17%	28 Aug →
ancient	13–3	0.12	12%	28 Aug →
dust2	12–12	-0.02	14%	28 Aug →
nuke	13–3	0.08	14%	28 Aug →
train	13–5	0.11	11%	28 Aug →
cache	13–5	0.04	13%	28 Aug →
inferno	13–10	0.05	17%	28 Aug →
mirage	8–13	-0.03	14%	27 Aug →
dust2	13–3	0.10	15%	27 Aug →
inferno	13–11	0.03	13%	27 Aug →
cache	13–4	0.08	20%	27 Aug →
nuke	13–7	-0.04	15%	27 Aug →
mirage	13–3	0.18	19%	26 Aug →
train	10–13	0.01	14%	26 Aug →
nuke	12–12	-0.04	15%	26 Aug →
inferno	13–7	0.03	17%	26 Aug →
cache	9–13	-0.03	11%	26 Aug →
nuke	12–12	-0.02	14%	25 Aug →
ancient	7–13	-0.08	5%	25 Aug →
inferno	10–13	0.01	27%	24 Aug →
cache	12–12	0.07	17%	24 Aug →
ancient	8–13	0.05	11%	24 Aug →
overpass	12–12	0.08	18%	24 Aug →
dust2	13–1	0.09	12%	24 Aug →
dust2	6–13	0.06	10%	24 Aug →
cache	13–11	0.04	8%	24 Aug →
inferno	13–1	0.06	2%	24 Aug →
dust2	10–13	-0.02	27%	23 Aug →
mirage	13–7	0.06	30%	23 Aug →
train	5–13	-0.02	22%	23 Aug →
ancient	12–12	-0.02	8%	22 Aug →
nuke	4–13	-0.02	13%	22 Aug →
cache	13–6	0.04	7%	22 Aug →
ancient	13–6	0.13	9%	19 Aug →
cache	6–13	-0.06	11%	19 Aug →
nuke	12–12	0.01	16%	18 Aug →
train	9–13	0.01	13%	18 Aug →
anubis	9–13	-0.01	16%	17 Aug →
train	13–5	0.07	10%	17 Aug →
mirage	11–13	0.05	24%	17 Aug →
anubis	10–13	-0.01	10%	16 Aug →
inferno	13–2	0.09	26%	16 Aug →
nuke	9–13	0.02	13%	16 Aug →
ancient	11–13	-0.02	17%	16 Aug →
dust2	0–4	0.00	38%	16 Aug →
cache	9–13	-0.02	9%	15 Aug →
inferno	4–0	0.02	22%	15 Aug →
cache	13–3	0.02	12%	13 Aug →
inferno	11–13	-0.03	18%	13 Aug →
mirage	8–13	0.01	22%	13 Aug →
anubis	13–11	0.01	9%	13 Aug →
dust2	13–6	0.04	15%	13 Aug →
mirage	10–13	-0.01	23%	11 Aug →
inferno	4–13	0.00	17%	11 Aug →
dust2	13–8	0.04	30%	11 Aug →
inferno	5–13	-0.01	26%	10 Aug →
cache	4–6	0.11	22%	10 Aug →
nuke	2–13	-0.03	15%	10 Aug →
mirage	8–13	-0.06	13%	10 Aug →
overpass	13–3	0.03	22%	9 Aug →
dust2	6–3	-0.02	11%	9 Aug →
inferno	9–13	0.05	20%	6 Aug →
ancient	7–13	-0.05	14%	6 Aug →
cache	2–13	0.08	29%	5 Aug →
inferno	13–6	0.00	27%	5 Aug →
nuke	13–6	-0.01	13%	3 Aug →
dust2	10–13	-0.02	13%	3 Aug →
ancient	13–5	-0.00	8%	3 Aug →
cache	13–2	0.16	13%	3 Aug →
anubis	13–8	-0.05	10%	2 Aug →
dust2	9–13	-0.01	18%	2 Aug →
train	13–6	0.02	12%	2 Aug →
inferno	13–5	0.14	13%	2 Aug →
mirage	2–13	-0.06	3%	1 Aug →
dust2	13–5	0.09	11%	1 Aug →
nuke	13–8	0.07	12%	1 Aug →
mirage	13–10	0.08	11%	31 Jul →
dust2	12–12	0.01	13%	31 Jul →
inferno	13–7	0.09	21%	31 Jul →
inferno	7–13	0.02	6%	27 Jul →
mirage	5–13	-0.04	23%	27 Jul →
dust2	5–13	0.01	16%	27 Jul →
train	13–11	0.03	16%	26 Jul →
dust2	13–2	0.23	20%	26 Jul →
mirage	13–2	0.04	20%	26 Jul →
overpass	9–13	0.11	18%	26 Jul →
anubis	12–12	0.03	14%	26 Jul →
cache	5–13	-0.04	9%	26 Jul →
mirage	13–2	0.16	24%	25 Jul →
inferno	13–8	0.07	10%	25 Jul →
dust2	8–13	0.04	19%	25 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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