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Der Elastische Hosenbund

Der Elastische Hosenbund — CS2 Stats

AT76561198282744992[U:1:322479264]Steam profile ↗✓ No bans

310Tracked matches48%Win rate2022Tracked since
765Hours in CS25Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
CSDB Leaderboard#166703 of 259089 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,976 +358 7 Jul – 8 Jul · 2 days played
12,61812,976peak 12,9767 Jul8 Jul
12,976Peak Premier in tracked matches
45Days played since 2024-07-07

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

Performance scores

Aim75
Positioning42
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateLLWWLLWLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.8pp headshot accuracy · −16ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 622ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 602ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 610ms

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 (+2.1 against its own average).

Aim7.5
Utility2.0
Positioning4.2
Opening Duels0.0

Limited utility dependence

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

b1t

Plays most like b1t 83% playstyle similarity

Most alike: aim profile, positioning 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Reaction time. 594ms 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

Aim7.5
Positioning4.2
Utility2.0
Mechanics7.7
Opening Duels1.3
Win Impact4.4

Composite 5.1/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time602ms−63ms
first ⅓ avg 665ms → last ⅓ avg 602ms
Headshot accuracy11.5%−4.4%
first ⅓ avg 15.9% → last ⅓ avg 11.5%

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

0.12Best match rating · 13–1 · dust2, 13 Sept →
29%Best headshot accuracy · 13–10 · dust2, 1 Apr →
438msFastest reaction time · 13–5 · dust2, 23 Oct →
13–0Biggest win · anubis, 19 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 49% over 71cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B7135–3649%0.00
cacheD82–625%-0.03
infernoC52–340%-0.01
ancient—42–250%-0.02
anubis—42–250%-0.03
mirage—33–0100%-0.05
nuke—21–150%-0.04
office—10–10%-0.08
overpass—11–0100%0.01
train—10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

17,745Lifetime kills
0.95K/D
1,001Matches
48.2%Match win rate · Top 50% of tracked players
32.6%Headshot %
18.0%Shot accuracy · Top 10% of tracked players
2,116MVPs
415Hours (in match)
1,212Bombs planted
201Bombs defused

Most-used weapons

AK-475,297
M4A4 / M4A1-S3,880
AWP2,186
P2000 / USP-S988
Glock-18770
Desert Eagle616
Tec-9349
Five-SeveN334
MAC-10332
P250322

Lifetime map wins

5,218dust2
601inferno
548nuke
470vertigo
244train
196cbble
135office
16militia

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.6%Headshot accuracy
36.2%Accuracy (enemy spotted)
42.9%Spray accuracy
84.6%Counter-strafing
8.5°Preaim
594msReaction time
39.5%T opening success
30.8%CT opening success
0.56Enemies flashed / flash
4.1%Flash assists
3.56HE damage / grenade
1.89Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.6196% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.8917 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 39.5094% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.006%31 Oct →
cache2–13-0.0614%31 Oct →
dust213–11-0.0413%31 Oct →
cache13–10.004%31 Oct →
office3–13-0.0814%30 Oct →
cache1–13-0.0513%30 Oct →
dust213–6-0.0114%29 Oct →
dust211–130.0217%29 Oct →
dust213–110.0313%28 Oct →
nuke13–60.0015%28 Oct →
dust215–15-0.0618%27 Oct →
dust213–40.018%27 Oct →
mirage13–9-0.0213%27 Oct →
cache10–13-0.0213%27 Oct →
anubis9–13-0.039%27 Oct →
dust213–60.0215%27 Oct →
nuke10–13-0.0919%27 Oct →
mirage13–7-0.074%27 Oct →
dust22–50.0010%27 Oct →
dust29–13-0.036%26 Oct →
inferno13–50.014%26 Oct →
cache13–11-0.019%26 Oct →
inferno11–13-0.026%26 Oct →
dust29–13-0.089%24 Oct →
dust26–130.0620%23 Oct →
ancient7–13-0.0917%23 Oct →
mirage13–8-0.079%23 Oct →
dust213–5-0.0516%23 Oct →
anubis1–12-0.086%23 Oct →
dust213–8-0.037%22 Oct →
dust213–60.0211%22 Oct →
dust26–13-0.0114%22 Oct →
dust213–50.0414%22 Oct →
dust213–70.0221%21 Oct →
dust212–120.0015%21 Oct →
dust213–90.048%21 Oct →
dust210–13-0.0115%19 Oct →
dust27–130.018%12 Oct →
dust27–130.0112%12 Oct →
inferno8–13-0.017%12 Oct →
dust213–90.0011%6 Oct →
dust212–12-0.0011%5 Oct →
dust22–13-0.038%5 Oct →
dust26–13-0.0012%28 Sept →
dust212–120.0112%28 Sept →
dust213–40.0812%28 Sept →
dust213–7-0.0221%23 Sept →
dust213–30.025%23 Sept →
dust213–11-0.0721%23 Sept →
cache7–13-0.0523%23 Sept →
dust28–13-0.0311%22 Sept →
dust213–160.0220%19 Sept →
cache0–50.0110%19 Sept →
anubis13–00.0225%19 Sept →
dust210–130.0125%14 Sept →
dust27–13-0.0210%13 Sept →
dust28–130.0423%13 Sept →
dust213–10.1215%13 Sept →
dust213–9-0.0116%13 Sept →
dust212–12-0.0317%13 Sept →
dust27–130.0520%13 Sept →
dust213–80.0314%13 Sept →
cache9–13-0.0513%21 Aug →
dust213–40.0221%21 Aug →
dust212–12-0.0719%13 Feb →
dust213–10-0.0411%9 Sept →
dust26–130.0119%9 Sept →
dust213–3-0.0012%20 Aug →
ancient13–90.0311%17 Aug →
inferno10–13-0.059%17 Aug →
dust27–13-0.059%4 Jul →
dust27–13-0.0915%4 Jul →
dust211–13-0.0414%18 Jun →
dust213–90.0210%24 Apr →
dust213–00.0214%24 Apr →
dust213–50.0519%23 Apr →
dust27–13-0.0113%23 Apr →
dust213–110.0514%17 Apr →
dust29–13-0.0317%16 Apr →
dust213–100.0210%4 Apr →
dust213–60.0123%4 Apr →
dust213–80.0218%3 Apr →
dust26–13-0.0919%3 Apr →
dust213–100.0229%1 Apr →
dust23–13-0.0217%1 Apr →
dust26–13-0.0319%24 Mar →
dust22–7-0.0116%24 Mar →
dust213–110.0718%19 Mar →
inferno13–100.0314%17 Mar →
dust213–10-0.0017%17 Mar →
dust213–100.0326%2 Mar →
dust26–13-0.0825%2 Mar →
overpass13–90.0113%24 Jan →
dust212–120.019%12 Jan →
dust211–13-0.0419%3 Jan →
dust213–80.0922%23 Dec →
train12–12-0.0218%22 Nov →
dust213–100.0918%8 Jul →
anubis13–11-0.0214%8 Jul →
ancient16–14-0.035%7 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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