Kompetenz Klaus

Kompetenz Klaus — CS2 Stats

DE76561198074833376[U:1:114567648]Steam profile ↗✓ No bans

4,516Tracked matches48%Win rate2020Tracked since
6,919Hours in CS14Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating26,080Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#13445 of 261531 tracked
FaceitLevel 9 · 2,148 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (5 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: 26,080 +969 30 Aug – 9 Nov · 26 days played
24,99927,262peak 27,26230 Aug9 Nov
Faceit ELO: 2,148 +0 3 Sept – 3 Nov · 3 observations
2,1482,148peak 2,1483 Sept3 Nov
27,447Peak Premier in tracked matches
2,148Highest Faceit ELO seen on CSDB
36Days played since 2026-08-30

Faceit ELO

  • At peak — 2,148
  • Next: 2,500 ELO at 2,500 — 352 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

Premier CS Rating

  • 1,182 below peak (27,262)
  • +1,081 over 30 days · improving
  • Next: Gold band at 30,000 — 3,920 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-03
  • Pink band first seen 2026-09-03

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches4532+13
Win rate42%47%−5pp
K/D1.010.95+0.05
Headshot %53%54%−1pp

Measured 16 Oct 2026 → 14 Nov 2026; previous 14 Sep 2026 → 16 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate53.3%48.2%50.9%above
Shot accuracy15.7%13.2%13.7%above
Kill/death ratio1.091.071.09meets
Match win rate44.9%46.9%48.4%3.5% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKompetenz KlausFACEITLevel 9 · 2,148 ELOSTANDINGTop 20.7% of rankedPREMIER26,080 · Red bandPEAK ELO2,148csdb.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

Aim91
Positioning61
Utility40

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateTWLLLLLTWL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +5.1pp headshot accuracy · −56ms reaction

Win rate down 30pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 502ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 532ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

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 (+2.3 against its own average).

Aim9.1
Utility4.0
Positioning6.1
Opening Duels3.2
Clutch1.8

Sharp aimerExcellent counter-strafingLimited 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

sh1ro

Plays most like sh1ro 84% 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 91 — the mechanical foundation is a clear strength.

Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.

T openings. 70% T opening-duel success — entries that actually open the round.

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.

CT openings. Opening success drops from 70% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 560ms 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

Aim9.1
Positioning6.1
Utility4.0
Mechanics9.7
Opening Duels7.1
Win Impact4.4

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time560ms+4ms
first ⅓ avg 555ms → last ⅓ avg 560ms
Headshot accuracy18.6%−3.6%
first ⅓ avg 22.2% → last ⅓ avg 18.6%

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

0.16Best match rating · 13–2 · dust2, 30 Aug →
53%Best headshot accuracy · 1–13 · dust2, 3 Sept →
375msFastest reaction time · 12–16 · inferno, 1 Sept →
13–1Biggest win · dust2, 6 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–5In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 57% over 14mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.01
nukeB2413–1154%0.01
cacheB158–753%0.01
ancientC156–940%-0.00
infernoA148–657%-0.02
mirageD51–420%-0.02
anubis—20–20%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

189,728Lifetime kills
1.09K/D · Top 50% of Level 9 players
7,841Matches
44.9%Match win rate
53.3%Headshot % · Top 50% of Level 9 players
15.7%Shot accuracy · Top 50% of Level 9 players
23,068MVPs
4,173Hours (in match)
5,826Bombs planted
1,899Bombs defused

Most-used weapons

AK-4790,156
AWP12,183
FAMAS1,857
P2501,733
Knife1,683

Lifetime map wins

21,211dust2
11,540inferno
5,876nuke
1,556train
1,147vertigo
926cbble
95lake
82safehouse

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

Faceit stats

Combat

1,336Matches
51%Win rate
1.09Avg K/D
87.2ADR
47%Headshot %

Clutches & streaks

29%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient19347%1.1417.9
Inferno12757%1.1217.0
Dust210949%1.0516.7
Nuke8849%1.1217.1
Anubis6146%1.1217.8
Overpass3450%1.2619.1
Cache1553%1.1619.0
Train1060%1.2918.5

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.

18.4%Headshot accuracy
40.3%Accuracy (enemy spotted)
42.8%Spray accuracy
93.6%Counter-strafing
8.1°Preaim
560msReaction time
70.5%T opening success
46.6%CT opening success
0.45Enemies flashed / flash
9.7%Flash assists
9.14HE damage / grenade
4.44Flashes / 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 0.4493 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–12-0.0129%13 Nov →
cache13–70.0425%13 Nov →
nuke10–13-0.0530%9 Nov →
mirage7–130.0118%9 Nov →
dust28–13-0.0111%7 Nov →
ancient2–13-0.0526%7 Nov →
inferno2–13-0.0519%7 Nov →
cache15–15-0.0119%5 Nov →
cache13–60.0420%4 Nov →
cache5–13-0.0219%4 Nov →
anubis7–130.0320%4 Nov →
mirage5–13-0.0915%4 Nov →
nuke13–60.0015%2 Nov →
nuke13–80.0115%2 Nov →
nuke13–6-0.0225%2 Nov →
inferno13–7-0.088%1 Nov →
mirage16–14-0.0015%1 Nov →
nuke9–13-0.0315%29 Oct →
dust27–13-0.0415%28 Oct →
dust211–130.0124%28 Oct →
inferno16–14-0.0217%27 Oct →
nuke13–11-0.0114%27 Oct →
nuke13–16-0.0211%26 Oct →
nuke15–150.0217%26 Oct →
nuke13–8-0.0012%26 Oct →
dust26–13-0.0214%26 Oct →
nuke13–30.0235%25 Oct →
dust28–1-0.0019%25 Oct →
dust28–13-0.0921%22 Oct →
nuke13–30.1118%22 Oct →
nuke13–80.0213%22 Oct →
dust211–130.0019%22 Oct →
inferno13–90.0720%21 Oct →
mirage2–13-0.0115%21 Oct →
mirage3–13-0.0221%21 Oct →
cache2–13-0.0519%21 Oct →
ancient13–100.0624%19 Oct →
inferno5–13-0.0114%19 Oct →
nuke13–60.0416%19 Oct →
inferno9–13-0.0530%18 Oct →
ancient16–140.0118%18 Oct →
dust213–110.0322%15 Oct →
dust213–4-0.0125%15 Oct →
cache12–120.0216%14 Oct →
dust213–80.0517%14 Oct →
cache13–60.1218%7 Oct →
nuke13–50.0914%7 Oct →
inferno8–130.0519%7 Oct →
nuke19–22-0.0515%4 Oct →
ancient10–13-0.0325%1 Oct →
cache10–13-0.0219%1 Oct →
nuke5–13-0.0324%30 Sept →
nuke13–8-0.0211%30 Sept →
ancient16–14-0.0116%28 Sept →
dust210–130.0216%28 Sept →
cache13–60.0232%27 Sept →
ancient10–13-0.078%27 Sept →
nuke6–13-0.0615%24 Sept →
inferno13–100.0231%24 Sept →
ancient10–13-0.0225%21 Sept →
dust25–13-0.0118%21 Sept →
ancient13–110.0126%20 Sept →
dust213–80.0523%20 Sept →
nuke9–13-0.0822%20 Sept →
cache16–130.1220%20 Sept →
dust213–7-0.0115%20 Sept →
ancient14–16-0.0017%20 Sept →
cache3–13-0.1113%16 Sept →
inferno5–13-0.0323%7 Sept →
nuke14–16-0.0123%7 Sept →
dust213–110.0022%6 Sept →
cache16–140.0225%6 Sept →
dust28–13-0.0119%6 Sept →
dust213–10.0620%6 Sept →
cache13–80.0119%6 Sept →
inferno13–60.0227%6 Sept →
ancient20–220.0317%6 Sept →
ancient0–5-0.0525%6 Sept →
dust213–110.0520%5 Sept →
nuke12–120.0823%3 Sept →
cache13–90.0416%3 Sept →
ancient13–80.0112%3 Sept →
inferno13–40.0332%3 Sept →
ancient9–13-0.0318%3 Sept →
nuke13–20.0444%3 Sept →
dust21–13-0.0253%3 Sept →
nuke7–13-0.0321%2 Sept →
dust216–130.0120%2 Sept →
ancient13–60.0217%2 Sept →
inferno12–16-0.0714%1 Sept →
cache5–13-0.0329%1 Sept →
dust213–60.0024%1 Sept →
dust210–13-0.0415%31 Aug →
dust213–10-0.0218%31 Aug →
ancient10–130.0630%31 Aug →
dust213–20.1627%30 Aug →
nuke10–50.1230%30 Aug →
dust213–70.009%30 Aug →
inferno13–9-0.0320%30 Aug →
inferno13–11-0.078%30 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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