Lustiger Bub

Lustiger Bub — CS2 Stats

DE76561199098937637[U:1:1138671909]Steam profile ↗✓ No bans

1,261Tracked matches43%Win rate2021Tracked since
CSDB Rating6.5 SolidAll-Rounder
CSDB Leaderboard#21741 of 247964 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,999 +11,445 27 Apr – 10 Jun · 18 days played
13,55425,700peak 25,70027 Apr10 Jun
25,700Peak Premier in tracked matches
34Days played since 2025-04-18

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

Share this profile

CSDB.GGLustiger BubFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78
Positioning69
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateWWLWLLLLTW

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · +2.2pp headshot accuracy · +17ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 25%
  • Avg reaction 514ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 23%
  • Avg reaction 561ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 552ms

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.

Aim7.8
Utility6.4
Positioning6.9
Opening Duels5.8

Strong CT-side openerEffective flashes

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 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim7.8
Positioning6.9
Utility6.4
Mechanics6.9
Opening Duels5.4
Win Impact2.6

Composite 6.5/10 (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 rating0.04−0.05
first ⅓ avg 0.09 → last ⅓ avg 0.04
Reaction time574ms+47ms
first ⅓ avg 527ms → last ⅓ avg 574ms
Headshot accuracy21.4%−0.1%
first ⅓ avg 21.4% → last ⅓ avg 21.4%

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

0.22Best match rating · 13–3 · anubis, 27 Jan →
43%Best headshot accuracy · 10–13 · office, 3 Apr →
375msFastest reaction time · 2–4 · inferno, 20 Jun →
13–0Biggest win · anubis, 20 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
9–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 71% over 14dust2Weakest map · 50% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA2615–1158%0.07
dust2B147–750%0.04
anubisB147–750%0.07
nukeB147–750%0.05
ancientS1410–471%0.05
mirageA53–260%0.07
overpass—42–250%0.03
vertigo—42–250%0.08
train—32–167%0.16
office—10–10%0.09
warden—10–10%0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 14). 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.

21.5%Headshot accuracy
36.4%Accuracy (enemy spotted)
37.3%Spray accuracy
80.9%Counter-strafing
9.7°Preaim
570msReaction time
41.2%T opening success
61.8%CT opening success
0.73Enemies flashed / flash
9.7%Flash assists
8.94HE damage / grenade
13.20Flashes / match

Recent matches

MapScoreRatingHS%Date
dust213–10.0828%9 Sept →
inferno13–30.1725%20 Jul →
anubis11–130.0529%14 Jul →
mirage13–70.1717%14 Jul →
nuke0–13-0.0425%21 Jun →
nuke5–130.0014%21 Jun →
inferno5–130.1121%21 Jun →
ancient4–130.0227%20 Jun →
inferno15–150.0623%10 Jun →
anubis13–50.1320%10 Jun →
ancient13–90.0913%10 Jun →
mirage10–130.0724%11 May →
anubis9–130.0219%11 May →
nuke9–130.0331%11 May →
ancient13–9-0.0421%11 May →
anubis9–13-0.0012%29 Apr →
anubis13–90.0619%29 Apr →
inferno10–130.0129%20 Apr →
overpass4–13-0.0532%20 Apr →
dust213–7-0.006%12 Apr →
dust213–50.0211%12 Apr →
office10–130.0943%3 Apr →
warden12–120.1414%28 Mar →
inferno3–13-0.0626%28 Mar →
mirage13–90.0319%28 Mar →
overpass13–110.0930%28 Mar →
mirage14–160.0220%28 Mar →
dust216–140.0413%28 Mar →
dust25–130.0517%28 Mar →
inferno11–130.0123%28 Mar →
dust26–13-0.0021%28 Mar →
ancient9–13-0.0218%24 Feb →
ancient4–13-0.0218%19 Feb →
dust210–130.0133%19 Feb →
inferno13–110.0513%6 Feb →
dust213–20.0620%6 Feb →
inferno13–50.0519%6 Feb →
inferno13–40.0625%6 Feb →
ancient13–90.0724%6 Feb →
nuke8–13-0.0033%6 Feb →
anubis13–100.0733%29 Jan →
mirage13–110.0631%27 Jan →
anubis13–30.2229%27 Jan →
ancient13–110.0215%5 Dec →
nuke16–140.0222%5 Dec →
inferno13–60.1429%5 Dec →
ancient6–2-0.0216%7 Jul →
vertigo8–80.0111%7 Jul →
anubis9–130.0421%7 Jul →
dust28–130.0510%7 Jul →
train11–130.1220%7 Jul →
nuke5–13-0.0010%7 Jul →
anubis7–130.088%6 Jul →
nuke13–60.1623%6 Jul →
inferno4–130.0014%6 Jul →
train13–110.1520%6 Jul →
inferno11–00.0339%6 Jul →
inferno13–60.0915%6 Jul →
dust213–90.1018%6 Jul →
anubis11–130.095%6 Jul →
dust27–130.0210%2 Jul →
inferno11–130.0217%30 Jun →
inferno4–9-0.0133%30 Jun →
inferno13–90.0720%20 Jun →
ancient16–130.0616%20 Jun →
inferno2–40.1235%20 Jun →
anubis6–130.0915%20 Jun →
ancient13–30.0938%20 Jun →
anubis13–0-0.0212%20 Jun →
inferno9–60.1131%19 Jun →
inferno11–13-0.0437%1 Jun →
nuke13–40.0133%1 Jun →
train13–20.2132%1 Jun →
ancient13–70.0718%1 Jun →
anubis13–100.1118%6 May →
nuke13–40.0423%6 May →
inferno13–40.0418%6 May →
anubis16–140.0620%5 May →
inferno13–100.0720%4 May →
nuke7–130.0815%4 May →
ancient13–20.1722%30 Apr →
inferno11–130.0530%30 Apr →
ancient15–150.0916%29 Apr →
dust24–130.0316%29 Apr →
nuke13–80.0421%29 Apr →
vertigo9–40.1318%29 Apr →
inferno9–40.1920%28 Apr →
overpass5–9-0.0218%28 Apr →
vertigo9–10.1213%28 Apr →
nuke9–40.2124%28 Apr →
inferno9–40.2118%28 Apr →
nuke9–30.1522%28 Apr →
inferno9–10.1917%28 Apr →
nuke4–130.0511%27 Apr →
overpass13–110.0921%19 Apr →
vertigo7–130.0517%19 Apr →
inferno13–90.1729%19 Apr →
ancient13–40.1515%19 Apr →
dust213–90.0119%19 Apr →
dust24–130.1024%18 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.