DerKopf

DerKopf — CS2 Stats

DE76561198866688779[U:1:906423051]Steam profile ↗✓ No bans

299Tracked matches54%Win rate2022Tracked since
119Hours in CS
CSDB Rating5.6 SolidSupport
Premier CS Rating19,999Top 50% of 206,528 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#83231 of 253849 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 May 2026 (143 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: 19,999 +2,654 2 Oct – 29 May · 44 days played
17,34521,200peak 21,2002 Oct29 May
21,433Peak Premier in tracked matches
56Days played since 2025-10-02

Premier CS Rating

  • 1,201 below peak (21,200)
  • -939 over 30 days · declining
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate48.9%44.3%46.9%above
Shot accuracy1.2%11.9%13.0%11.8% short
Kill/death ratio1.211.031.08above
Match win rate54.7%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDerKopfPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning50
Utility73

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateWLLLLWTLLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −4.5pp headshot accuracy · −85ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 528ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 586ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 629ms

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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim5.9
Utility7.3
Positioning5.0
Opening Duels1.5

Effective 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

Twistzz

Plays most like Twistzz 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 653ms 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

Aim5.9
Positioning5.0
Utility7.3
Mechanics6.1
Opening Duels1.5
Win Impact6.2

Composite 5.6/10 (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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time646ms−38ms
first ⅓ avg 684ms → last ⅓ avg 646ms
Headshot accuracy19.4%−1.4%
first ⅓ avg 20.8% → last ⅓ avg 19.4%

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

0.15Best match rating · 13–5 · ancient, 13 Feb →
36%Best headshot accuracy · 7–13 · mirage, 23 Dec →
344msFastest reaction time · 1–13 · dust2, 28 Apr →
13–0Biggest win · ancient, 29 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 77% over 13nukeWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
dust2C3013–1743%0.01
infernoS2618–869%0.03
nukeC197–1237%0.01
ancientS1310–377%0.02
overpass—42–250%0.00
anubis—41–325%0.01
mirage—20–20%0.03
train—21–150%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,472Lifetime kills
1.21K/D · Top 25% of Purple band
320Matches
54.7%Match win rate · Top 5% of Purple band
48.9%Headshot % · Top 50% of Purple band
1.2%Shot accuracy
675MVPs
119Hours (in match)
449Bombs planted
52Bombs defused

Most-used weapons

Lifetime map wins

935inferno
724dust2
405nuke
156train
117vertigo
18cbble
8lake
4safehouse

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.

19.1%Headshot accuracy
30.4%Accuracy (enemy spotted)
36.6%Spray accuracy
77.3%Counter-strafing
9.1°Preaim
653msReaction time
28.3%T opening success
42.0%CT opening success
0.80Enemies flashed / flash
8.2%Flash assists
13.52HE damage / grenade
16.25Flashes / 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. 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 28.3049% — below the 40% mark we flag

Spend your practice time on Nuke

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–00.000%29 May →
dust24–13-0.0520%28 May →
dust28–13-0.0219%21 May →
overpass8–130.0219%20 May →
anubis6–13-0.0421%20 May →
nuke13–80.0524%20 May →
dust215–15-0.0116%6 May →
ancient9–130.0212%6 May →
dust214–160.0323%29 Apr →
dust213–60.1120%29 Apr →
inferno13–80.0522%29 Apr →
dust27–130.0427%28 Apr →
dust21–13-0.0927%28 Apr →
inferno13–40.0626%28 Apr →
inferno11–130.0326%28 Apr →
nuke13–50.1127%23 Apr →
dust23–13-0.0720%23 Apr →
inferno13–7-0.0325%22 Apr →
ancient16–120.0314%19 Apr →
dust215–15-0.044%19 Apr →
anubis13–2-0.0418%19 Apr →
dust213–20.0920%19 Apr →
nuke3–13-0.0311%16 Apr →
inferno13–40.0911%8 Apr →
ancient13–50.0522%8 Apr →
inferno9–13-0.0322%6 Apr →
dust29–13-0.0319%6 Apr →
nuke13–70.0922%6 Apr →
inferno13–90.0724%2 Apr →
ancient13–10.0922%2 Apr →
nuke9–130.0414%30 Mar →
inferno13–70.1122%30 Mar →
nuke5–130.1222%30 Mar →
inferno13–80.1011%29 Mar →
mirage7–130.0816%29 Mar →
dust213–100.0419%29 Mar →
dust24–13-0.0128%29 Mar →
dust213–80.1021%27 Mar →
anubis13–160.0623%11 Mar →
nuke8–130.0712%8 Mar →
overpass13–4-0.049%2 Mar →
ancient13–10-0.0225%26 Feb →
ancient9–130.0117%26 Feb →
dust213–11-0.0315%24 Feb →
anubis8–130.0522%24 Feb →
overpass4–13-0.0321%23 Feb →
nuke4–13-0.1219%22 Feb →
nuke13–110.0214%18 Feb →
dust215–15-0.0220%16 Feb →
inferno13–00.0831%16 Feb →
ancient13–90.0415%13 Feb →
ancient13–50.1527%13 Feb →
nuke11–13-0.0514%12 Feb →
ancient13–7-0.0414%2 Jan →
inferno16–13-0.0123%25 Dec →
mirage7–13-0.0236%23 Dec →
nuke13–100.085%23 Dec →
nuke2–90.029%18 Dec →
nuke8–13-0.0128%15 Dec →
dust213–110.0611%9 Dec →
inferno16–140.0320%9 Dec →
nuke10–13-0.0024%8 Dec →
inferno7–13-0.0517%6 Dec →
dust21–13-0.0821%30 Nov →
dust213–90.0124%28 Nov →
inferno13–100.1118%28 Nov →
dust211–130.0422%28 Nov →
nuke5–13-0.0319%27 Nov →
dust211–130.0313%22 Nov →
dust28–13-0.0026%22 Nov →
inferno3–13-0.0028%22 Nov →
dust213–60.0419%20 Nov →
dust213–40.1123%16 Nov →
inferno8–130.0427%16 Nov →
nuke16–13-0.0217%12 Nov →
inferno2–13-0.088%8 Nov →
dust213–6-0.0121%8 Nov →
dust213–30.0635%7 Nov →
dust213–8-0.0517%1 Nov →
inferno13–90.0316%30 Oct →
overpass13–50.0723%29 Oct →
ancient16–140.0618%28 Oct →
inferno13–11-0.0618%25 Oct →
inferno13–30.0323%25 Oct →
inferno13–20.1029%24 Oct →
inferno10–130.0220%24 Oct →
train15–150.0113%19 Oct →
nuke3–13-0.0527%19 Oct →
train13–50.0716%14 Oct →
ancient2–13-0.126%14 Oct →
ancient13–80.0125%9 Oct →
inferno13–5-0.0124%9 Oct →
inferno4–13-0.0121%4 Oct →
inferno13–100.0428%4 Oct →
dust27–13-0.0117%4 Oct →
nuke13–10-0.0123%4 Oct →
inferno13–90.0816%4 Oct →
dust27–13-0.0133%4 Oct →
dust213–40.0519%4 Oct →
nuke9–13-0.0318%2 Oct →

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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