Lil Duku√

Lil Duku√ — CS2 Stats

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

1,155Tracked matches40%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,155
+3.3ppWin rate · 36.7% → 40.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 7 Oct 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 25,472 +3,022 7 Oct20 Jun · 14 days played
21,74026,075peak 26,0757 Oct20 Jun
26,075Peak Premier in tracked matches
42Days played since 2025-10-07

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 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning61
Utility56

0–100 skill scores via Leetify.

Recent form

COLD44542Last 10044%Win rateLWLLLLLWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +10.0pp headshot accuracy · −1ms 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

  • 14 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 38%
  • Avg reaction 677ms

Last 10

  • 37 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 33%
  • Avg reaction 604ms

Last 20

  • 515 · 25% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 604ms

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 PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim8.1
Utility5.6
Positioning6.1
Opening Duels4.6
Clutch4.4

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 97% playstyle similarity

Most alike: opening-duel success, positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 591ms 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

Aim8.1
Positioning6.1
Utility5.6
Mechanics8.0
Opening Duels4.2
Win Impact1.7

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 rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time606ms−23ms
first ⅓ avg 629ms → last ⅓ avg 606ms
Headshot accuracy28.4%+3.2%
first ⅓ avg 25.2% → last ⅓ avg 28.4%

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
406msFastest reaction time · 13–7 · anubis, 14 May
13–1Biggest win · cache, 23 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
48In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 64% over 11infernoWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
ancientC2491538%0.01
nukeA2113862%0.04
infernoC2071335%0.00
anubisA117464%0.02
cacheB84450%0.04
dust2C73443%0.01
overpass4040%-0.04
mirage31233%-0.00
train2020%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

407Matches
54%Win rate
1.30Avg K/D
87.0ADR
48%Headshot %

Clutches & streaks

42%1v1 clutch win
29%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke2540%1.1917.2
Ancient2050%1.0316.6
Anubis1362%1.4520.9
Inferno1118%1.0617.8
Dust21040%0.9914.3
Mirage743%1.2616.7
Train333%0.8314.7
Cache333%1.4625.0

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.

28.3%Headshot accuracy
33.9%Accuracy (enemy spotted)
33.8%Spray accuracy
86.1%Counter-strafing
10.1°Preaim
591msReaction time
50.9%T opening success
42.5%CT opening success
0.59Enemies flashed / flash
5.9%Flash assists
7.66HE damage / grenade
9.50Flashes / 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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
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
inferno13–30.0227%28 Nov
ancient13–6-0.0229%9 Nov
nuke13–30.0619%9 Nov
overpass8–130.0236%7 Nov
train7–13-0.0516%7 Nov
anubis13–7-0.0012%17 Oct
anubis13–10-0.0125%17 Oct
nuke13–9-0.0121%11 Oct
nuke4–13-0.0235%7 Oct
nuke14–160.0840%7 Oct
mirage10–00.1025%7 Oct

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 →