Lil Duku√

Lil Duku√ — CS2 Stats

76561198028262126[U:1:67996398]Steam profile ↗✓ No bans

1,170Tracked matches33%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

+15Tracked matches · now 1,170
−6.7ppWin rate · 40.0% → 33.3%

Rating over time

Premier CS Rating: 25,472 +3,732 28 Nov – 20 Jun · 12 days played
21,74026,075peak 26,07528 Nov20 Jun
26,075Peak Premier in tracked matches
40Days played since 2025-11-28

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

Share this profile

CSDB.GGLil Duku√FACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning57
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateLLWLLWWWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −9.2pp headshot accuracy · −112ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 27%
  • Avg reaction 503ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 510ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 566ms

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: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim8.3
Utility6.1
Positioning5.7
Opening Duels4.3
Clutch4.8

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 96% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 566ms 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

Aim8.3
Positioning5.7
Utility6.1
Mechanics8.3
Opening Duels4.8
Win Impact0.0

Composite 6.3/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time578ms−49ms
first ⅓ avg 627ms → last ⅓ avg 578ms
Headshot accuracy25.8%+0.4%
first ⅓ avg 25.3% → last ⅓ avg 25.8%

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

0.16Best match rating · 13–5 · nuke, 27 Aug →
53%Best headshot accuracy · 2–13 · cache, 13 Sept →
359msFastest reaction time · 8–13 · inferno, 2 Oct →
13–1Biggest win · cache, 23 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 68% over 19infernoWeakest map · 27% over 22
MapGradePlayedRecordWin rateAvg rating
ancientC269–1735%0.01
infernoD226–1627%-0.01
nukeS1913–668%0.04
cacheA95–456%0.04
anubisA95–456%0.03
dust2B84–450%0.00
mirage—30–30%-0.05
overpass—30–30%-0.06
train—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

419Matches
54%Win rate
1.30Avg K/D
86.5ADR
48%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke2744%1.1817.2
Ancient2152%1.0316.5
Anubis1567%1.4320.1
Inferno1315%1.0217.7
Dust21145%1.0214.6
Mirage933%1.1615.7
Cache560%1.3521.6
Train333%0.8314.7

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.

24.1%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.1%Spray accuracy
87.3%Counter-strafing
9.4°Preaim
566msReaction time
50.5%T opening success
47.7%CT opening success
0.65Enemies flashed / flash
8.7%Flash assists
8.83HE damage / grenade
10.50Flashes / 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.

27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient1–13-0.0950%8 Oct →
ancient4–13-0.0528%8 Oct →
dust213–7-0.0116%2 Oct →
inferno14–160.0119%2 Oct →
mirage4–13-0.0420%2 Oct →
nuke13–110.0215%2 Oct →
ancient13–9-0.0016%2 Oct →
cache13–80.0224%2 Oct →
inferno8–13-0.0417%2 Oct →
nuke13–110.0310%2 Oct →
inferno2–13-0.1018%27 Sept →
nuke1–7-0.0320%18 Sept →
inferno13–50.0624%18 Sept →
cache2–13-0.0453%13 Sept →
anubis4–130.0850%13 Sept →
nuke4–13-0.0241%12 Sept →
ancient9–13-0.0131%12 Sept →
dust211–130.0022%12 Sept →
cache13–110.0525%30 Aug →
ancient13–90.0123%29 Aug →
inferno10–130.0238%28 Aug →
inferno10–13-0.0418%27 Aug →
nuke13–50.1624%27 Aug →
nuke13–90.0619%27 Aug →
nuke10–13-0.0620%27 Aug →
inferno3–130.1522%27 Aug →
inferno5–13-0.0713%16 Aug →
mirage3–13-0.0329%31 Jul →
ancient11–130.0119%25 Jul →
inferno8–130.0625%24 Jul →
cache11–130.0340%24 Jul →
nuke13–70.1440%24 Jul →
anubis4–13-0.0222%24 Jul →
cache13–30.0219%24 Jul →
dust213–80.0320%24 Jul →
cache10–130.0542%24 Jul →
ancient4–130.0521%24 Jul →
cache13–10.1233%23 Jul →
nuke16–130.1325%23 Jul →
ancient13–100.1533%23 Jul →
cache16–140.0738%15 Jul →
inferno6–130.0327%14 Jul →
cache11–130.0130%13 Jul →
ancient4–13-0.0431%20 Jun →
ancient13–10-0.0114%19 Jun →
inferno4–13-0.0727%19 Jun →
nuke2–130.0335%18 Jun →
ancient3–130.0126%3 Jun →
dust213–100.0727%29 May →
nuke9–3-0.0416%29 May →
overpass4–13-0.0327%19 May →
ancient8–13-0.0525%14 May →
nuke13–60.1022%14 May →
anubis13–70.0233%14 May →
inferno13–5-0.0130%14 May →
ancient7–130.0119%13 May →
dust29–130.0415%13 May →
anubis3–13-0.0529%13 May →
nuke13–50.0248%12 May →
ancient13–20.0433%12 May →
anubis13–80.1035%12 May →
mirage10–13-0.0811%11 May →
dust211–30.0513%11 May →
ancient13–100.0621%11 May →
anubis5–130.0015%9 May →
inferno13–11-0.0111%9 May →
ancient11–13-0.0123%9 May →
inferno13–100.0014%9 May →
inferno16–12-0.0027%8 May →
ancient10–130.0126%8 May →
nuke13–40.1129%8 May →
overpass1–11-0.098%7 May →
nuke15–150.0832%7 May →
inferno13–90.0321%7 May →
inferno0–13-0.0733%7 May →
ancient13–2-0.0230%7 May →
nuke13–80.0540%7 May →
inferno5–13-0.0729%7 May →
inferno7–130.0223%6 May →
ancient6–13-0.0215%6 May →
nuke13–8-0.0123%6 May →
anubis13–70.0322%6 May →
ancient11–13-0.0321%6 May →
inferno11–130.0320%6 May →
ancient7–130.1446%6 May →
ancient6–13-0.0119%5 May →
nuke8–13-0.0212%5 May →
ancient4–130.0250%26 Apr →
dust24–13-0.1013%12 Apr →
anubis13–100.0822%28 Mar →
overpass1–13-0.0527%26 Dec →
train3–130.0327%26 Dec →
anubis13–60.0221%19 Dec →
dust23–13-0.0520%29 Nov →
inferno6–13-0.0250%29 Nov →
ancient13–100.0015%29 Nov →
ancient15–15-0.0224%29 Nov →
inferno7–13-0.0526%29 Nov →
nuke13–110.0126%28 Nov →
ancient13–10-0.0126%28 Nov →

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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