alux

alux — CS2 Stats

76561198140621073[U:1:180355345]Steam profile ↗✓ No bans

207Tracked matches48%Win rate2020Tracked since
CSDB Rating3.5 LearningPositional Player
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 207
+3.5ppWin rate · 44.8% → 48.3%

Rating over time

63Days played since 2023-06-12

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGaluxFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim47
Positioning32
Utility8

0–100 skill scores via Leetify.

Recent form

STEADY41–51–8Last 10041%Win rateWWTLLWLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −3.1pp headshot accuracy · −41ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 731ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 670ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 691ms

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 (+1.9 against its own average).

Aim4.7
Utility0.8
Positioning3.2
Opening Duels0.0

Strong CT-side openerLimited 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

donk

Plays most like donk 90% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 27% on CT to 11% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 671ms 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

Aim4.7
Positioning3.2
Utility0.8
Mechanics6.2
Opening Duels0.0
Win Impact4.4

Composite 3.5/10 (Learning), 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-0.05−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time661ms+19ms
first ⅓ avg 642ms → last ⅓ avg 661ms
Headshot accuracy12.2%−0.2%
first ⅓ avg 12.4% → last ⅓ avg 12.2%

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

0.15Best match rating · 13–0 · mirage, 26 Mar →
29%Best headshot accuracy · 9–13 · inferno, 26 Mar →
445msFastest reaction time · 10–13 · ancient, 26 Jun →
13–0Biggest win · mirage, 26 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 50% over 12infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB2913–1645%-0.04
infernoC166–1038%-0.05
ancientC135–838%-0.05
anubisB126–650%-0.05
nukeB115–645%-0.04
cacheB84–450%-0.02
dust2—41–325%-0.04
overpass—41–325%-0.03
vertigo—20–20%0.03
thera—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

30Matches
37%Win rate
1.01Avg K/D
—ADR
35%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLWL

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.

13.0%Headshot accuracy
29.0%Accuracy (enemy spotted)
38.0%Spray accuracy
78.0%Counter-strafing
9.3°Preaim
671msReaction time
11.4%T opening success
26.7%CT opening success
0.03Enemies flashed / flash
0.0%Flash assists
10.41HE damage / grenade
0.06Flashes / 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. 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 12.9917% — below the 15% mark we flag

    Aim Training →
  2. 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 0.0265 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 11.3684% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0811%3 Oct →
ancient13–11-0.0512%14 Aug →
mirage12–12-0.0612%29 Jun →
cache2–13-0.074%28 Jun →
inferno3–13-0.079%28 Jun →
cache13–7-0.0311%26 Jun →
ancient11–13-0.0811%18 Jun →
ancient9–13-0.0817%18 Jun →
anubis13–7-0.0213%13 Jun →
ancient13–40.0211%13 Jun →
cache13–4-0.048%13 Jun →
mirage4–13-0.0822%13 Jun →
ancient13–4-0.0310%31 May →
cache3–13-0.0814%31 May →
cache13–9-0.0418%6 May →
cache13–100.0615%6 May →
ancient13–10-0.1012%16 Apr →
mirage13–10-0.0219%15 Apr →
anubis9–13-0.0712%21 Feb →
ancient6–13-0.0513%12 Jul →
mirage4–13-0.066%12 Jul →
anubis11–13-0.076%12 Jul →
inferno13–20.0119%12 Jul →
ancient10–13-0.0111%12 Jul →
inferno9–13-0.105%10 Jul →
mirage13–7-0.0224%10 Jul →
anubis13–3-0.076%10 Jul →
nuke11–13-0.0223%5 Jul →
ancient11–13-0.0424%5 Jul →
inferno5–13-0.047%4 Jul →
nuke5–13-0.084%4 Jul →
mirage12–12-0.034%3 Jul →
inferno7–13-0.0613%2 Jul →
nuke1–13-0.109%2 Jul →
mirage11–5-0.0414%2 Jul →
mirage13–9-0.0210%20 Jun →
ancient2–13-0.0522%20 Jun →
mirage9–13-0.028%30 Mar →
inferno10–13-0.049%29 Mar →
inferno13–5-0.0326%25 Mar →
mirage11–13-0.0618%22 Jan →
inferno13–9-0.0225%11 Dec →
mirage3–13-0.066%8 Dec →
ancient9–13-0.0613%8 Dec →
inferno4–13-0.110%23 Oct →
anubis3–13-0.084%18 Oct →
nuke3–13-0.054%23 Aug →
anubis4–13-0.0713%23 Aug →
dust211–13-0.0610%3 Aug →
mirage8–13-0.0310%24 Jul →
overpass13–7-0.054%19 Jul →
mirage13–4-0.0316%13 Jul →
vertigo8–130.0318%13 Jul →
mirage13–6-0.0619%12 Jul →
anubis13–30.009%9 Jul →
dust27–13-0.0614%8 Jul →
mirage13–8-0.0217%6 Jul →
nuke13–11-0.0214%4 Jul →
mirage13–5-0.039%4 Jul →
mirage13–90.0013%4 Jul →
anubis10–13-0.027%28 Jun →
thera2–13-0.087%28 Jun →
ancient10–13-0.106%26 Jun →
overpass12–12-0.0013%23 Jun →
nuke13–70.0711%21 Jun →
inferno13–9-0.019%21 Jun →
nuke12–12-0.0313%15 Jun →
mirage7–13-0.1321%13 Jun →
inferno10–13-0.0611%19 May →
mirage7–13-0.062%19 May →
dust213–80.037%5 May →
inferno13–11-0.0413%30 Apr →
dust22–13-0.0619%30 Apr →
overpass1–13-0.0514%20 Apr →
overpass12–12-0.0015%29 Mar →
anubis13–10-0.1110%26 Mar →
inferno9–13-0.1029%26 Mar →
mirage13–00.1524%26 Mar →
ancient13–7-0.0614%26 Mar →
mirage13–4-0.048%10 Mar →
nuke13–11-0.0913%10 Mar →
anubis13–10-0.048%19 Feb →
inferno2–13-0.1311%19 Feb →
mirage12–12-0.074%18 Jan →
inferno7–13-0.0410%14 Jan →
nuke13–10.079%14 Jan →
anubis13–6-0.048%10 Jan →
mirage12–12-0.0317%10 Jan →
nuke13–11-0.0815%1 Dec →
mirage11–13-0.0516%25 Sept →
nuke4–13-0.0910%25 Sept →
mirage1–13-0.0414%25 Sept →
mirage9–16-0.053%21 Sept →
anubis5–160.0213%19 Sept →
inferno16–140.1014%17 Sept →
mirage16–100.0112%3 Sept →
mirage7–16-0.0619%29 Jul →
vertigo9–160.0313%29 Jul →
cache17–190.026%4 Jul →
cache15–15-0.008%12 Jun →

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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