LUX♕

LUX♕ — CS2 Stats

76561199212711285[U:1:1252445557]Steam profile ↗✓ No bans

438Tracked matches28%Win rate2026Tracked since
CSDB Rating1.9 LearningPositional Player
Premier CS Rating1,363Grey band · top ~94.2% of ranked players (population est.)
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 1,363 -329 19 Sept – 2 Oct · 12 days played
1,2632,317peak 2,31719 Sept2 Oct
2,317Peak Premier in tracked matches
14Days played since 2026-09-19

Premier CS Rating

  • 954 below peak (2,317)
  • Next: Light Blue band at 5,000 — 3,637 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim21
Positioning20
Utility5

0–100 skill scores via Leetify.

Recent form

STEADY39–58–3Last 10039%Win rateWWLLLLWLLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +0.6pp headshot accuracy · +49ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 852ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 809ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 8%
  • Avg reaction 784ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim2.1
Utility0.5
Positioning2.0
Opening Duels0.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 763ms 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

Aim2.1
Positioning2.0
Utility0.5
Mechanics6.8
Opening Duels0.0
Win Impact0.0

Composite 1.9/10 (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-0.07−0.00
first ⅓ avg -0.07 → last ⅓ avg -0.07
Reaction time768ms−13ms
first ⅓ avg 781ms → last ⅓ avg 768ms
Headshot accuracy8.9%−1.3%
first ⅓ avg 10.2% → last ⅓ avg 8.9%

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.

Personal bests

0.06Best match rating · 13–7 · mirage, 2 Oct →
25%Best headshot accuracy · 7–13 · italy, 1 Oct →
563msFastest reaction time · 8–2 · inferno, 25 Sept →
13–2Biggest win · ancient, 28 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 60% over 10dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
anubisC197–1237%-0.06
mirageD155–1033%-0.09
ancientC125–742%-0.09
dust2D103–730%-0.07
cacheC104–640%-0.08
vertigoA106–460%-0.07
nukeD93–633%-0.07
inferno—42–250%-0.09
boulder—31–233%-0.07
train—31–233%-0.08
office—31–233%-0.08
italy—21–150%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

9.2%Headshot accuracy
30.1%Accuracy (enemy spotted)
33.7%Spray accuracy
80.5%Counter-strafing
14.0°Preaim
763msReaction time
18.6%T opening success
13.0%CT opening success
0.07Enemies flashed / flash
0.0%Flash assists
0.00HE damage / grenade
0.11Flashes / 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.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.9792° — above the 12° mark we flag

    Aim Training →
  2. 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 9.1535% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 762.8612ms — above the 700ms mark we flag

    Aim Training →
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–70.068%2 Oct →
dust213–6-0.0512%2 Oct →
anubis8–13-0.104%2 Oct →
cache6–13-0.0721%2 Oct →
dust25–13-0.0210%2 Oct →
vertigo10–13-0.057%2 Oct →
ancient13–3-0.070%2 Oct →
dust22–13-0.055%2 Oct →
mirage2–13-0.1110%2 Oct →
anubis13–11-0.088%2 Oct →
nuke13–8-0.016%1 Oct →
nuke4–13-0.085%1 Oct →
italy7–13-0.0525%1 Oct →
mirage9–13-0.097%1 Oct →
nuke10–13-0.106%1 Oct →
dust26–13-0.110%30 Sept →
anubis9–13-0.0410%30 Sept →
cache6–13-0.115%30 Sept →
dust210–13-0.0911%30 Sept →
ancient5–13-0.124%30 Sept →
inferno10–13-0.136%29 Sept →
vertigo13–9-0.0714%29 Sept →
boulder3–13-0.047%29 Sept →
mirage4–13-0.1115%29 Sept →
anubis13–11-0.0418%29 Sept →
dust210–13-0.0916%29 Sept →
nuke9–13-0.077%29 Sept →
anubis13–5-0.154%29 Sept →
anubis12–12-0.049%29 Sept →
dust23–13-0.107%29 Sept →
vertigo6–13-0.098%29 Sept →
train9–13-0.104%29 Sept →
ancient1–13-0.1013%29 Sept →
dust213–110.0014%29 Sept →
ancient4–13-0.1010%29 Sept →
cache7–13-0.072%28 Sept →
anubis7–13-0.0510%28 Sept →
mirage6–13-0.0711%28 Sept →
anubis9–13-0.087%28 Sept →
cache2–13-0.119%28 Sept →
mirage8–13-0.059%28 Sept →
ancient13–2-0.0511%28 Sept →
ancient13–10-0.093%27 Sept →
inferno5–13-0.079%27 Sept →
vertigo5–13-0.1111%27 Sept →
anubis13–4-0.057%27 Sept →
vertigo13–6-0.0415%27 Sept →
nuke6–9-0.1211%27 Sept →
ancient13–2-0.0813%26 Sept →
inferno13–10-0.123%26 Sept →
dust216–13-0.1110%26 Sept →
ancient13–16-0.127%26 Sept →
anubis11–13-0.086%26 Sept →
cache11–13-0.147%26 Sept →
anubis11–13-0.034%25 Sept →
cache13–8-0.094%25 Sept →
inferno8–2-0.030%25 Sept →
cache13–10-0.096%25 Sept →
anubis12–12-0.0510%25 Sept →
cache13–5-0.090%24 Sept →
anubis11–13-0.094%24 Sept →
mirage13–5-0.1118%24 Sept →
vertigo11–13-0.104%24 Sept →
boulder11–13-0.075%24 Sept →
train13–6-0.0520%24 Sept →
mirage7–13-0.0914%24 Sept →
mirage4–13-0.1318%24 Sept →
nuke1–13-0.0813%24 Sept →
vertigo13–11-0.096%24 Sept →
nuke13–6-0.045%24 Sept →
mirage13–7-0.1412%24 Sept →
mirage4–13-0.0816%23 Sept →
dust210–13-0.073%23 Sept →
ancient5–13-0.127%23 Sept →
anubis13–5-0.0212%23 Sept →
vertigo13–4-0.0415%23 Sept →
vertigo13–3-0.0513%23 Sept →
nuke13–9-0.0314%23 Sept →
anubis13–4-0.044%22 Sept →
mirage10–13-0.098%21 Sept →
anubis13–3-0.0415%21 Sept →
ancient13–8-0.019%21 Sept →
vertigo13–9-0.0713%20 Sept →
boulder13–10-0.117%20 Sept →
italy13–2-0.0612%20 Sept →
train7–13-0.118%20 Sept →
office5–3-0.068%20 Sept →
office4–13-0.117%20 Sept →
anubis8–13-0.0612%20 Sept →
ancient2–13-0.1025%20 Sept →
cache13–5-0.0124%20 Sept →
office8–13-0.089%20 Sept →
anubis12–12-0.0810%19 Sept →
mirage13–6-0.103%19 Sept →
anubis10–13-0.078%19 Sept →
ancient9–13-0.127%19 Sept →
nuke4–13-0.1514%19 Sept →
mirage13–11-0.106%19 Sept →
cache1–13-0.068%19 Sept →
mirage2–13-0.066%19 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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