Köthe

Köthe — CS2 Stats

DE76561198229418480[U:1:269152752]Steam profile ↗✓ No bans

1,523Tracked matches73%Win rate2020Tracked since
3,133Hours in CS1Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
FaceitLevel 6 · 1,393 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,393 → 1,393
+11Tracked matches · now 1,523
+3.3ppWin rate · 70.0% → 73.3%

Rating over time

Premier CS Rating: 21,539 -1,974 28 May – 3 Jul · 5 days played
21,53923,513peak 23,51328 May3 Jul
Faceit ELO: 1,393 +0 5 Sept – 15 Sept · 2 observations
1,3931,393peak 1,3935 Sept15 Sept
23,804Peak Premier in tracked matches
1,393Highest Faceit ELO seen on CSDB
44Days played since 2026-05-24

Faceit ELO

  • At peak — 1,393
  • Next: Level 8 at 1,531 — 138 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-05
  • Level 6 first seen 2026-09-05

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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate38.1%44.8%45.7%7.6% short
Shot accuracy13.6%12.4%12.7%above
Kill/death ratio0.801.031.050.25 short
Match win rate39.1%45.2%45.7%6.5% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKötheFACEITLevel 6 · 1,393 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,393csdb.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

Aim58
Positioning47
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY63–36–1Last 10063%Win rateWLWLWWWWWL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +1.9pp headshot accuracy · −8ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 570ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 585ms

Last 20

  • 17–3 · 85% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 589ms

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 (+2.3 against its own average).

Aim5.8
Utility6.5
Positioning4.7
Opening Duels2.5
Clutch3.2

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

ZywOo

Plays most like ZywOo 79% 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

Areas to improve

T-side openings. Opening success drops from 44% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim5.8
Positioning4.7
Utility6.5
Mechanics6.3
Opening Duels1.7
Win Impact10.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time595ms−42ms
first ⅓ avg 637ms → last ⅓ avg 595ms
Headshot accuracy17.2%+2.8%
first ⅓ avg 14.4% → last ⅓ avg 17.2%

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

0.05Best match rating · 13–4 · inferno, 17 Aug →
33%Best headshot accuracy · 13–6 · cache, 19 Oct →
375msFastest reaction time · 13–6 · cache, 19 Oct →
13–1Biggest win · cache, 13 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
17–7In matches decided by ≤2 rounds
18Overtime games

Map breakdown

cacheBest map · 83% over 23dust2Weakest map · 52% over 21
MapGradePlayedRecordWin rateAvg rating
cacheS2319–483%-0.02
ancientA2314–961%-0.02
dust2B2111–1052%-0.04
infernoA127–558%-0.01
mirageA127–558%-0.02
overpass—42–250%-0.02
nuke—21–150%-0.03
train—11–0100%-0.03
alpine—11–0100%0.03
anubis—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (52% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,962Lifetime kills
0.80K/D
4,591Matches
39.1%Match win rate
38.1%Headshot %
13.6%Shot accuracy · Top 50% of Level 6 players
6,430MVPs
1,795Hours (in match)
4,467Bombs planted
721Bombs defused

Most-used weapons

AK-4719,159
AWP6,337
P902,100
MP91,713
MP71,581

Lifetime map wins

6,862inferno
3,841dust2
2,039cbble
1,674nuke
868vertigo
456train
184office
131lake

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

Faceit stats

Combat

401Matches
57%Win rate
0.73Avg K/D
64.7ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
11%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient5867%0.7911.1
Inferno4161%0.6911.0
Dust23551%0.6711.0
Cache2374%0.8612.0
Overpass1776%0.8011.8
Mirage1656%0.8613.6
Anubis967%0.7811.0
Nuke367%0.659.7

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.

16.9%Headshot accuracy
30.9%Accuracy (enemy spotted)
35.2%Spray accuracy
78.3%Counter-strafing
10.1°Preaim
599msReaction time
28.5%T opening success
43.7%CT opening success
0.66Enemies flashed / flash
9.9%Flash assists
11.59HE damage / grenade
6.75Flashes / 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 28.5216% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0833%19 Oct →
nuke8–13-0.0410%19 Oct →
inferno13–110.0022%17 Oct →
dust25–13-0.0217%15 Oct →
cache13–8-0.0322%15 Sept →
inferno16–13-0.0018%15 Sept →
inferno13–11-0.0410%31 Aug →
cache16–140.0114%27 Aug →
mirage13–3-0.0421%25 Aug →
mirage8–13-0.045%24 Aug →
ancient13–10-0.025%18 Aug →
cache16–12-0.0817%18 Aug →
cache13–7-0.079%18 Aug →
cache16–120.0115%17 Aug →
cache13–50.0416%17 Aug →
inferno13–40.0518%17 Aug →
ancient13–5-0.0317%17 Aug →
inferno13–10-0.0519%16 Aug →
cache13–5-0.0316%13 Aug →
ancient13–6-0.0422%13 Aug →
dust211–130.0320%13 Aug →
train13–9-0.0311%12 Aug →
dust213–8-0.0316%7 Aug →
dust210–13-0.0317%6 Aug →
cache13–11-0.0119%6 Aug →
inferno14–160.0324%30 Jul →
mirage9–13-0.0022%29 Jul →
dust219–15-0.0120%29 Jul →
dust29–13-0.0714%27 Jul →
ancient13–110.0318%26 Jul →
ancient13–10-0.0227%21 Jul →
ancient7–13-0.0217%20 Jul →
dust213–11-0.0216%20 Jul →
ancient8–13-0.0011%20 Jul →
ancient9–13-0.055%20 Jul →
mirage13–9-0.0210%20 Jul →
cache13–70.0324%20 Jul →
dust216–14-0.0220%17 Jul →
dust213–8-0.0220%16 Jul →
cache13–11-0.0110%16 Jul →
inferno13–90.057%16 Jul →
mirage13–11-0.017%16 Jul →
ancient10–130.0320%16 Jul →
mirage9–130.0215%16 Jul →
cache13–11-0.0215%14 Jul →
mirage13–5-0.0317%14 Jul →
ancient13–9-0.048%13 Jul →
cache13–10.025%13 Jul →
ancient13–90.0310%7 Jul →
cache10–130.030%5 Jul →
dust210–13-0.0914%3 Jul →
overpass13–6-0.0323%3 Jul →
dust213–8-0.034%1 Jul →
cache13–50.0018%1 Jul →
cache13–7-0.019%1 Jul →
inferno20–22-0.0613%29 Jun →
dust215–19-0.079%29 Jun →
mirage13–90.0427%29 Jun →
ancient13–70.0121%27 Jun →
inferno13–60.0019%27 Jun →
mirage13–110.0018%27 Jun →
mirage12–16-0.061%26 Jun →
dust22–13-0.0418%26 Jun →
dust219–15-0.0310%24 Jun →
inferno10–13-0.038%24 Jun →
ancient13–11-0.0610%23 Jun →
cache22–180.0315%23 Jun →
inferno3–13-0.0631%23 Jun →
ancient6–130.0115%23 Jun →
cache9–130.039%23 Jun →
cache13–3-0.0530%21 Jun →
dust213–9-0.0426%21 Jun →
overpass13–8-0.0216%21 Jun →
ancient13–10-0.032%21 Jun →
inferno8–13-0.059%16 Jun →
ancient12–12-0.0416%16 Jun →
overpass19–22-0.0314%15 Jun →
ancient13–11-0.058%15 Jun →
dust210–13-0.0714%15 Jun →
ancient0–2-0.050%15 Jun →
dust213–3-0.0418%15 Jun →
overpass16–19-0.027%12 Jun →
alpine13–110.0323%12 Jun →
mirage22–190.0012%8 Jun →
cache11–13-0.0110%5 Jun →
ancient16–14-0.0021%5 Jun →
ancient16–120.0319%2 Jun →
anubis2–13-0.0812%2 Jun →
mirage11–13-0.068%2 Jun →
ancient5–13-0.0316%2 Jun →
nuke13–10-0.0214%2 Jun →
ancient13–60.0010%2 Jun →
cache13–11-0.0225%2 Jun →
dust213–11-0.0013%28 May →
dust28–13-0.025%28 May →
cache13–10-0.0713%26 May →
ancient14–16-0.0414%26 May →
cache8–13-0.0513%26 May →
dust213–10-0.0716%24 May →
dust29–13-0.0713%24 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.