illu#

illu# — CS2 Stats

76561198136789776[U:1:176524048]Steam profile ↗✓ No bans

2,059Tracked matches56%Win rate2020Tracked since
CSDB Rating5.6 SolidAll-Rounder
Premier CS Rating9,387Light Blue band · top ~57.8% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (12 days ago). 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: 9,387 -281 7 Sept – 21 Oct · 15 days played
7,39610,504peak 10,5047 Sept21 Oct
10,504Peak Premier in tracked matches
35Days played since 2026-08-10

Premier CS Rating

  • 1,117 below peak (10,504)
  • +276 over 30 days · steady
  • Next: Blue band at 10,000 — 613 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGillu#FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER9,387 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning52
Utility48

0–100 skill scores via Leetify.

Recent form

COLD49–42–9Last 10049%Win rateLLWWLLWLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · +44ms reaction

Win rate down 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 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 593ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 571ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.3
Utility4.8
Positioning5.2
Opening Duels4.8
Clutch3.6

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

device

Plays most like device 93% playstyle similarity

Most alike: positioning profile, aim profile.

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

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. 564ms 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

Aim7.3
Positioning5.2
Utility4.8
Mechanics6.1
Opening Duels6.6
Win Impact6.9

Composite 5.6/10 (Solid), 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 rating0.02−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time572ms+8ms
first ⅓ avg 565ms → last ⅓ avg 572ms
Headshot accuracy18.5%−2.6%
first ⅓ avg 21.1% → last ⅓ avg 18.5%

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

0.20Best match rating · 13–9 · dust2, 10 Aug →
35%Best headshot accuracy · 13–6 · mirage, 15 Sept →
391msFastest reaction time · 12–3 · dust2, 2 Sept →
13–0Biggest win · mirage, 21 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
0–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 58% over 19infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3921–1854%0.03
mirageA1911–858%0.04
anubisA95–456%-0.00
cacheA95–456%0.01
nukeD93–633%0.01
infernoD81–713%0.04
ancientC52–340%-0.02
overpass—21–150%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

246Matches
48%Win rate
0.98Avg K/D
84.8ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3468%1.2317.2
Inferno1354%1.1815.8
Dust21173%1.2313.8
Ancient825%0.9615.4
Nuke650%1.1314.3
Anubis633%0.7512.7
Vertigo520%0.9713.0
Overpass10%0.9142.0

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.

18.2%Headshot accuracy
34.9%Accuracy (enemy spotted)
34.3%Spray accuracy
77.3%Counter-strafing
8.2°Preaim
564msReaction time
57.4%T opening success
55.5%CT opening success
0.62Enemies flashed / flash
3.2%Flash assists
13.61HE damage / grenade
6.38Flashes / match

Recommended for you

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0317%25 Oct →
dust210–13-0.0812%23 Oct →
ancient13–50.0515%21 Oct →
mirage13–00.1022%21 Oct →
dust211–130.0621%21 Oct →
dust210–13-0.0224%21 Oct →
cache13–9-0.0013%20 Oct →
dust26–13-0.0015%18 Oct →
inferno2–130.1324%18 Oct →
anubis8–13-0.0413%15 Oct →
cache13–10.0420%15 Oct →
inferno13–70.0314%14 Oct →
anubis13–5-0.0119%14 Oct →
mirage6–13-0.0112%14 Oct →
cache8–13-0.0514%14 Oct →
dust27–130.0427%14 Oct →
anubis13–70.0525%11 Oct →
mirage13–70.0916%11 Oct →
dust213–70.049%11 Oct →
cache8–13-0.0034%11 Oct →
dust213–80.0417%11 Oct →
dust213–100.0015%8 Oct →
anubis12–12-0.0517%8 Oct →
mirage12–120.0218%7 Oct →
cache13–40.0630%7 Oct →
dust212–12-0.0424%7 Oct →
overpass8–8-0.1013%7 Oct →
dust26–130.0626%4 Oct →
mirage13–7-0.0018%4 Oct →
anubis13–7-0.0013%4 Oct →
dust213–9-0.047%4 Oct →
mirage12–160.0418%30 Sept →
dust213–00.1727%30 Sept →
dust213–9-0.0610%23 Sept →
dust211–130.0511%23 Sept →
nuke6–13-0.0019%23 Sept →
cache13–90.0319%23 Sept →
anubis10–13-0.0219%22 Sept →
ancient12–16-0.0523%22 Sept →
mirage7–13-0.0413%21 Sept →
ancient4–130.0212%21 Sept →
nuke4–9-0.089%21 Sept →
mirage13–30.0116%21 Sept →
inferno1–130.0122%17 Sept →
nuke8–130.0119%17 Sept →
mirage11–130.0620%17 Sept →
nuke13–10.1317%16 Sept →
dust22–13-0.0215%16 Sept →
anubis13–00.0612%16 Sept →
dust28–13-0.0420%16 Sept →
dust213–70.0216%15 Sept →
dust213–70.0620%15 Sept →
inferno11–130.0422%15 Sept →
mirage13–60.1135%15 Sept →
mirage8–13-0.027%14 Sept →
dust28–130.0611%14 Sept →
anubis13–90.0323%14 Sept →
nuke11–13-0.0414%13 Sept →
dust213–10-0.0123%13 Sept →
mirage13–70.0024%13 Sept →
dust213–90.1319%7 Sept →
cache10–13-0.0416%7 Sept →
dust212–120.0719%6 Sept →
mirage13–90.0422%6 Sept →
dust213–90.0718%6 Sept →
dust213–40.1223%2 Sept →
inferno4–13-0.0527%2 Sept →
dust29–130.0427%2 Sept →
dust212–30.0432%2 Sept →
inferno6–130.0215%2 Sept →
dust213–90.0627%30 Aug →
mirage13–20.044%30 Aug →
dust213–6-0.0221%30 Aug →
ancient5–13-0.0816%28 Aug →
overpass13–70.0519%28 Aug →
nuke4–13-0.0812%28 Aug →
dust212–12-0.0412%28 Aug →
mirage13–6-0.0127%28 Aug →
nuke13–7-0.0911%28 Aug →
cache13–70.0426%28 Aug →
dust213–50.0131%28 Aug →
mirage12–120.0816%27 Aug →
mirage13–8-0.0319%26 Aug →
dust213–50.1424%23 Aug →
mirage8–00.1729%23 Aug →
dust23–130.0022%23 Aug →
nuke13–50.1421%23 Aug →
inferno7–130.0813%17 Aug →
dust213–50.1625%16 Aug →
nuke7–130.1018%16 Aug →
ancient13–6-0.0413%14 Aug →
dust212–120.0734%13 Aug →
dust22–130.0114%13 Aug →
dust213–4-0.0118%12 Aug →
dust29–13-0.0714%12 Aug →
mirage12–120.0327%12 Aug →
inferno11–130.0327%11 Aug →
dust213–70.0326%11 Aug →
dust213–90.2025%10 Aug →
cache3–130.0631%10 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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