Der Lieferjunge

Der Lieferjunge — CS2 Stats

OM76561198402001817[U:1:441736089]Steam profile ↗✓ No bans

2,197Tracked matches31%Win rate2024Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating23,107Top 25% of 205,416 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#40881 of 252630 tracked
FaceitLevel 9 · 1,830 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 23,107 -2,651 29 Aug – 16 Oct · 11 days played
23,10725,758peak 25,75829 Aug16 Oct
Faceit ELO: 1,830 +0 29 Aug – 23 Sept · 3 observations
1,8301,830peak 1,83029 Aug23 Sept
25,758Peak Premier in tracked matches
1,830Highest Faceit ELO seen on CSDB
25Days played since 2026-08-29

Faceit ELO

  • At peak — 1,830
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 171 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-29
  • Level 8 first seen 2026-08-29

Premier CS Rating

  • 2,651 below peak (25,758)
  • -1,893 over 30 days · declining
  • Next: Red band at 25,000 — 1,893 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-29
  • Pink band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGDer LieferjungeFACEITLevel 9 · 1,830 ELOSTANDINGTop 20.7% of rankedPREMIER23,107 · Pink band30 DAYS0 ELOPEAK ELO1,830csdb.gg/stats

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Performance scores

Aim88
Positioning61
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLLWWLLLWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.9pp headshot accuracy · −52ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 538ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 564ms

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 (+1.7 against its own average).

Aim8.8
Utility3.8
Positioning6.1
Opening Duels3.7
Clutch4.2

Sharp aimer

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.8
Positioning6.1
Utility3.8
Mechanics7.5
Opening Duels4.9
Win Impact0.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time549ms−43ms
first ⅓ avg 592ms → last ⅓ avg 549ms
Headshot accuracy24.0%+1.7%
first ⅓ avg 22.3% → last ⅓ avg 24.0%

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 · 13–2 · ancient, 10 Oct →
42%Best headshot accuracy · 13–11 · train, 29 Sept →
438msFastest reaction time · 6–9 · dust2, 6 Oct →
13–1Biggest win · train, 28 Sept →

Across the last 100 tracked matches.

Highlights

12Longest win streak
L2Current streak
6–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 100% over 6mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C229–1341%0.01
anubisC188–1044%0.01
ancientA159–660%0.00
cacheS118–373%0.02
mirageD91–811%-0.01
infernoC83–538%0.01
nukeD62–433%-0.03
vertigoS66–0100%0.05
train—32–167%0.05
overpass—21–150%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

387Matches
54%Win rate
0.96Avg K/D
78.8ADR
52%Headshot %

Clutches & streaks

41%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient9465%1.0317.3
Mirage9351%0.8313.8
Dust24949%0.9614.6
Anubis4058%1.0216.8
Inferno3438%0.8913.6
Nuke2748%0.9615.1
Overpass2442%0.9215.9
Train1587%1.4019.2

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.

23.1%Headshot accuracy
37.9%Accuracy (enemy spotted)
37.4%Spray accuracy
83.7%Counter-strafing
7.7°Preaim
544msReaction time
51.3%T opening success
48.1%CT opening success
0.51Enemies flashed / flash
5.1%Flash assists
6.81HE damage / grenade
7.03Flashes / match

Recommended for you

Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0118%16 Oct →
dust29–13-0.0726%15 Oct →
mirage16–120.0422%15 Oct →
anubis19–16-0.0218%15 Oct →
nuke3–10-0.0411%15 Oct →
ancient9–13-0.0414%15 Oct →
dust27–130.0028%15 Oct →
inferno13–3-0.0310%14 Oct →
ancient16–120.0212%14 Oct →
ancient9–130.0325%12 Oct →
inferno12–12-0.0230%12 Oct →
dust26–13-0.0414%12 Oct →
anubis8–13-0.0836%11 Oct →
anubis13–5-0.0118%10 Oct →
cache13–6-0.0217%10 Oct →
ancient13–20.1529%10 Oct →
ancient13–50.0114%8 Oct →
anubis8–13-0.0222%8 Oct →
anubis2–13-0.0425%7 Oct →
dust211–130.0530%7 Oct →
ancient10–13-0.0316%6 Oct →
mirage14–160.0021%6 Oct →
dust24–13-0.0239%6 Oct →
dust26–9-0.0533%6 Oct →
cache10–13-0.0222%6 Oct →
cache13–50.0631%5 Oct →
inferno2–13-0.0120%5 Oct →
anubis11–130.0224%5 Oct →
dust27–130.0235%5 Oct →
train9–130.0736%4 Oct →
anubis1–110.1033%4 Oct →
mirage12–12-0.0139%3 Oct →
vertigo13–80.1023%3 Oct →
overpass13–5-0.1116%2 Oct →
anubis12–12-0.0514%2 Oct →
nuke7–13-0.0415%2 Oct →
cache2–130.0027%2 Oct →
ancient13–10-0.0030%2 Oct →
vertigo13–50.1329%2 Oct →
dust213–100.0014%2 Oct →
dust210–130.0213%2 Oct →
anubis4–13-0.0513%1 Oct →
dust213–70.0220%1 Oct →
inferno12–12-0.0135%1 Oct →
mirage8–13-0.0026%1 Oct →
ancient13–110.0021%1 Oct →
inferno8–13-0.0323%30 Sept →
dust213–90.0615%30 Sept →
ancient7–13-0.0820%30 Sept →
cache13–50.0627%30 Sept →
anubis13–50.0530%30 Sept →
dust213–11-0.0624%30 Sept →
cache13–7-0.0333%30 Sept →
ancient13–110.0212%30 Sept →
cache13–20.1014%29 Sept →
nuke13–5-0.0420%29 Sept →
vertigo13–70.0524%29 Sept →
anubis13–8-0.0415%29 Sept →
train13–110.0542%29 Sept →
dust23–13-0.0813%29 Sept →
ancient13–3-0.0413%29 Sept →
overpass4–13-0.0820%29 Sept →
dust27–13-0.0219%29 Sept →
inferno13–50.0728%29 Sept →
train13–10.0319%28 Sept →
vertigo13–9-0.0625%28 Sept →
ancient13–60.0924%28 Sept →
dust213–90.0936%28 Sept →
nuke13–3-0.0823%28 Sept →
ancient13–11-0.0619%28 Sept →
anubis13–40.0214%28 Sept →
dust213–40.049%28 Sept →
anubis13–70.0530%28 Sept →
cache13–2-0.0014%27 Sept →
cache13–20.0419%27 Sept →
dust215–150.0515%27 Sept →
mirage6–13-0.0118%27 Sept →
mirage4–130.0015%27 Sept →
mirage6–13-0.0814%26 Sept →
anubis7–13-0.0224%26 Sept →
dust27–130.0222%26 Sept →
dust213–20.0320%26 Sept →
mirage1–8-0.0724%26 Sept →
mirage9–13-0.0025%26 Sept →
ancient10–130.0117%26 Sept →
nuke5–13-0.0227%26 Sept →
inferno13–110.0728%25 Sept →
nuke6–130.0225%24 Sept →
anubis3–130.0625%23 Sept →
vertigo13–40.0322%23 Sept →
dust27–130.0212%23 Sept →
cache4–13-0.0316%22 Sept →
anubis13–60.0429%22 Sept →
ancient13–16-0.0416%22 Sept →
anubis10–130.1025%18 Sept →
vertigo13–100.0633%18 Sept →
dust213–70.0435%18 Sept →
cache13–70.0419%14 Sept →
anubis13–100.0430%14 Sept →
dust213–70.0535%14 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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