ENDLICH RUHE IM PUFF

ENDLICH RUHE IM PUFF — CS2 Stats

76561198734677666[U:1:774411938]Steam profile ↗✓ No bans

99Tracked matches34%Win rate2026Tracked since
CSDB Rating4.8 DevelopingAll-Rounder
Premier CS Rating18,551Purple band · top ~14.3% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Aug 2026 (47 days ago). 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: 18,551 -109 8 Aug – 16 Aug · 2 days played
18,55118,660peak 18,6608 Aug16 Aug
18,660Peak Premier in tracked matches
35Days played since 2026-02-21

Premier CS Rating

  • 109 below peak (18,660)
  • Next: Pink band at 20,000 — 1,449 to go
  • Reached: Purple band · Blue band · Light Blue band

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

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CSDB.GGENDLICH RUHE IM PUFFPREMIER18,551 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning45
Utility42

0–100 skill scores via Leetify.

Recent form

COLD56–36–7Last 9957%Win rateWLTLWLLLWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −7.4pp headshot accuracy · −103ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 586ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 577ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 628ms

Newest first, from the last 99 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.

Aim7.5
Utility4.2
Positioning4.5
Opening Duels2.5

Strong CT-side opener

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

NiKo

Plays most like NiKo 95% 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 30 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.

T-side openings. Opening success drops from 49% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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
Positioning4.5
Utility4.2
Mechanics5.1
Opening Duels2.3
Win Impact0.0

Composite 4.8/10 (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-0.00−0.11
first ⅓ avg 0.11 → last ⅓ avg -0.00
Reaction time614ms+4ms
first ⅓ avg 610ms → last ⅓ avg 614ms
Headshot accuracy26.5%+2.6%
first ⅓ avg 23.9% → last ⅓ avg 26.5%

Rolling 5-match average across the last 99 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.35Best match rating · 13–1 · dust2, 7 Jun →
67%Best headshot accuracy · 0–3 · dust2, 6 Aug →
375msFastest reaction time · 9–13 · dust2, 22 Aug →
13–1Biggest win · dust2, 29 Aug →

Across the last 99 tracked matches.

Highlights

5Longest win streak
5–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 72% over 18mirageWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B4122–1954%0.05
infernoS1813–572%0.09
cacheS1410–471%0.06
mirageC135–838%0.04
nuke—41–325%0.03
office—33–0100%0.09
anubis—20–20%-0.00
ancient—11–0100%0.11
italy—11–0100%0.03
warden—10–10%0.14
alpine—10–10%0.04

Across the last 99 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 5 essential Mirage 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.

26.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
42.9%Spray accuracy
72.9%Counter-strafing
10.5°Preaim
612msReaction time
27.1%T opening success
48.7%CT opening success
0.37Enemies flashed / flash
3.9%Flash assists
6.11HE damage / grenade
12.76Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.371 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 27.0907% — below the 40% mark we flag

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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10.0432%29 Aug →
dust26–13-0.0227%29 Aug →
dust212–12-0.0113%29 Aug →
cache0–4-0.080%29 Aug →
cache13–60.0711%29 Aug →
cache10–13-0.028%22 Aug →
dust29–13-0.0931%22 Aug →
mirage7–13-0.0921%16 Aug →
nuke13–7-0.0464%8 Aug →
dust24–130.0443%6 Aug →
dust29–13-0.0629%6 Aug →
dust26–13-0.0831%6 Aug →
dust20–3-0.0267%6 Aug →
dust213–20.0639%4 Aug →
dust213–80.1621%4 Aug →
mirage14–16-0.0320%4 Aug →
dust27–130.0027%2 Aug →
dust213–40.1237%2 Aug →
cache13–1-0.0126%2 Aug →
dust25–130.0026%2 Aug →
dust21–13-0.1030%2 Aug →
mirage7–13-0.0228%2 Aug →
mirage14–16-0.0827%26 Jul →
dust20–9-0.0923%25 Jul →
dust213–60.0514%25 Jul →
mirage13–40.1033%25 Jul →
dust24–130.0628%25 Jul →
mirage6–130.1230%25 Jul →
dust213–7-0.0927%25 Jul →
anubis8–130.0116%17 Jul →
inferno13–11-0.0410%17 Jul →
dust213–5-0.0121%17 Jul →
cache13–90.0213%17 Jul →
anubis10–13-0.0220%17 Jul →
mirage13–3-0.0428%17 Jul →
mirage10–130.0519%12 Jul →
cache7–2-0.009%12 Jul →
cache13–50.0235%12 Jul →
office13–110.0030%3 Jul →
dust213–70.0833%3 Jul →
dust213–20.1031%3 Jul →
dust21–10-0.0421%3 Jul →
dust213–6-0.0228%28 Jun →
dust213–60.1031%28 Jun →
dust26–3-0.0018%15 Jun →
dust27–00.0760%15 Jun →
dust25–130.0425%9 Jun →
dust213–40.1936%8 Jun →
cache12–120.0130%8 Jun →
dust26–130.1336%8 Jun →
dust213–10.3553%7 Jun →
ancient13–80.1124%30 May →
inferno13–50.0327%30 May →
cache13–80.0546%29 May →
mirage4–130.0927%24 May →
inferno8–130.0528%24 May →
dust213–80.1435%24 May →
dust215–150.1228%24 May →
mirage10–00.2028%24 May →
inferno7–130.0524%22 May →
dust213–3-0.0129%22 May →
italy13–100.0326%22 May →
warden12–120.1433%17 May →
alpine5–130.0415%17 May →
cache13–40.0836%17 May →
office13–50.0536%16 May →
office13–100.2120%16 May →
cache12–120.0925%10 May →
dust213–10.2644%3 May →
cache13–70.1316%2 May →
inferno4–90.0839%2 May →
dust213–20.1224%2 May →
mirage13–20.1228%1 May →
cache13–10.2634%1 May →
cache13–40.2519%1 May →
dust29–130.1421%26 Apr →
dust213–40.0727%26 Apr →
dust213–110.0219%25 Apr →
dust213–50.0612%25 Apr →
inferno0–9-0.2616%25 Apr →
inferno9–40.1840%25 Apr →
inferno9–50.2029%25 Apr →
inferno8–80.0826%25 Apr →
inferno9–30.1316%25 Apr →
inferno9–30.2332%25 Apr →
inferno9–30.1417%25 Apr →
inferno9–70.0625%25 Apr →
inferno9–70.1020%23 Apr →
nuke7–130.0620%18 Apr →
inferno9–60.115%18 Apr →
inferno9–00.1819%18 Apr →
inferno9–20.2330%18 Apr →
nuke7–130.0019%6 Apr →
nuke12–120.0820%5 Apr →
mirage13–80.1230%5 Apr →
dust29–130.0619%5 Apr →
mirage11–130.039%5 Apr →
dust29–130.1135%20 Mar →
inferno9–50.0132%21 Feb →

Match data via Leetify.

Recent teammates

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

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