kärcher

kärcher — CS2 Stats

UG76561198354610071[U:1:394344343]Steam profile ↗✓ No bans

1,586Tracked matches50%Win rate2020Tracked since
3,388Hours in CS
CSDB Rating5.5 SolidSupport
CSDB Leaderboard#80134 of 220797 tracked
FaceitLevel 8 · 1,607 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 49 days played since 1 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,531 +2,183 19 Oct26 Apr · 6 days played
17,34820,109peak 20,10919 Oct26 Apr
20,109Peak Premier in tracked matches
1,607Highest Faceit ELO seen on CSDB
49Days played since 2025-08-01

Faceit ELO

  • At peak — 1,607
  • Next: Level 9 at 1,751 144 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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 8 among CSDB-tracked players (n=12,738), 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 8 medianLevel 9 medianvs Level 9
Headshot rate43.2%46.8%48.3%5.1% short
Shot accuracy16.7%13.0%13.2%above
Kill/death ratio0.961.061.070.12 short
Match win rate44.4%46.3%46.9%2.5% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkärcherFACEITLevel 8 · 1,607 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,607csdb.gg/stats

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Performance scores

Aim68
Positioning48
Utility62

0–100 skill scores via Leetify.

Recent form

COLD50473Last 10050%Win rateLWLWLLTWLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −6.9pp headshot accuracy · +12ms reaction

Win rate down 20pp 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

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 583ms

Last 10

  • 361 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 575ms

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: SupportUtility contribution stands above the rest of this profile (+1.5 against its own average).

Aim6.8
Utility6.2
Positioning4.8
Opening Duels2.8
Clutch4.8

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 83% 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 52% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Aim6.8
Positioning4.8
Utility6.2
Mechanics7.0
Opening Duels2.7
Win Impact5.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time592ms−35ms
first ⅓ avg 628ms → last ⅓ avg 592ms
Headshot accuracy17.9%+1.5%
first ⅓ avg 16.3% → last ⅓ avg 17.9%

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

0.14Best match rating · 13–4 · dust2, 16 Sept
50%Best headshot accuracy · 1–6 · nuke, 17 Aug
469msFastest reaction time · 2–13 · cache, 3 Sept
13–1Biggest win · nuke, 21 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
109In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 59% over 17nukeWeakest map · 45% over 29
MapGradePlayedRecordWin rateAvg rating
nukeB29131645%0.01
ancientA1710759%0.00
infernoB168850%0.01
mirageB136746%0.01
dust2A127558%0.01
overpass43175%0.03
cache31233%-0.00
anubis2020%-0.09
vertigo21150%0.01
train21150%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 29). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,110Lifetime kills
0.96K/D
6,733Matches
44.4%Match win rate
43.2%Headshot %
16.7%Shot accuracy · Top 25% of Level 8 players
16,938MVPs
3,388Hours (in match)
10,327Bombs planted
2,175Bombs defused

Most-used weapons

AK-4758,226
AWP8,793
MP94,185
Knife2,838
MAC-102,482

Lifetime map wins

13,648nuke
10,027inferno
8,620train
7,143vertigo
5,233dust2
59cbble
44office
32safehouse

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

Faceit stats

Combat

2,599Matches
50%Win rate
1.12Avg K/D
90.5ADR
41%Headshot %

Clutches & streaks

44%1v1 clutch win
31%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage14653%1.3518.3
Ancient12948%1.3718.6
Inferno11350%1.2718.2
Nuke10558%1.5119.2
Dust24436%1.1617.6
Anubis3724%1.0816.5
Vertigo1741%0.9915.3
Train1450%1.2216.5

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.

16.7%Headshot accuracy
36.4%Accuracy (enemy spotted)
36.3%Spray accuracy
81.5%Counter-strafing
10.8°Preaim
589msReaction time
24.2%T opening success
51.9%CT opening success
0.66Enemies flashed / flash
5.0%Flash assists
7.44HE damage / grenade
11.89Flashes / 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. 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 24.1723% — 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.

45% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–16-0.0218%16 Sept
dust213–40.1416%16 Sept
ancient4–13-0.0611%7 Sept
inferno6–00.0622%3 Sept
cache2–13-0.0324%3 Sept
inferno9–130.069%30 Aug
ancient12–120.0617%24 Aug
ancient13–110.0115%23 Aug
nuke6–13-0.028%22 Aug
anubis5–13-0.0812%21 Aug
nuke9–13-0.0112%21 Aug
inferno8–13-0.0113%21 Aug
nuke13–100.0017%21 Aug
nuke13–10.0819%21 Aug
ancient16–120.0513%21 Aug
inferno13–70.1031%21 Aug
nuke9–13-0.0134%19 Aug
ancient13–11-0.0216%17 Aug
nuke1–60.0150%17 Aug
nuke1–13-0.0416%11 Aug
vertigo13–20.0123%11 Aug
cache13–4-0.0134%5 Aug
vertigo2–13-0.006%1 Aug
ancient13–20.1215%1 Jun
dust26–130.0512%4 May
cache12–120.049%3 May
mirage13–7-0.0319%26 Apr
dust213–11-0.0013%26 Apr
dust213–90.028%18 Apr
inferno6–13-0.0523%14 Apr
nuke11–130.0210%14 Apr
ancient13–80.0112%14 Apr
inferno13–80.0533%16 Mar
nuke13–11-0.0112%16 Mar
dust22–13-0.0410%16 Mar
mirage13–20.0720%15 Mar
inferno4–13-0.1119%15 Mar
inferno7–130.0216%15 Mar
anubis4–13-0.1025%14 Mar
ancient4–13-0.0318%14 Mar
nuke13–80.0620%14 Mar
ancient13–9-0.0414%14 Mar
mirage13–11-0.037%8 Mar
mirage11–13-0.0418%23 Feb
nuke10–130.0518%23 Feb
inferno13–20.087%12 Feb
nuke11–13-0.0319%8 Feb
mirage11–130.0424%8 Feb
train13–30.0223%18 Jan
inferno13–10.0312%18 Jan
dust211–13-0.0122%14 Jan
inferno5–130.0218%29 Dec
nuke11–13-0.0111%16 Dec
nuke11–130.0319%3 Nov
nuke4–130.0111%3 Nov
overpass10–130.0713%3 Nov
overpass13–110.006%29 Oct
mirage13–80.0423%29 Oct
nuke13–6-0.0019%29 Oct
dust213–70.0620%29 Oct
ancient13–40.0615%29 Oct
nuke13–70.0913%27 Oct
dust26–13-0.017%27 Oct
nuke10–130.0420%27 Oct
ancient6–130.0121%27 Oct
inferno9–13-0.0431%26 Oct
nuke1–130.0012%26 Oct
mirage11–13-0.0016%26 Oct
dust213–100.0313%21 Oct
nuke13–9-0.016%20 Oct
dust216–14-0.0412%19 Oct
nuke13–100.029%19 Oct
dust26–13-0.0023%19 Oct
overpass13–60.0618%19 Oct
ancient13–9-0.0218%19 Oct
dust213–7-0.0414%19 Oct
train5–13-0.0827%16 Oct
nuke13–80.0524%16 Oct
mirage9–13-0.0313%13 Oct
mirage6–130.0418%12 Oct
ancient3–13-0.0824%8 Oct
nuke11–13-0.0320%8 Oct
inferno13–40.0213%8 Oct
overpass13–9-0.0118%8 Oct
mirage10–13-0.0014%7 Oct
ancient13–11-0.0220%6 Oct
nuke13–30.0718%6 Oct
nuke12–120.0224%25 Sept
inferno13–11-0.0621%25 Sept
mirage16–140.0315%22 Sept
ancient1–13-0.0713%22 Sept
nuke13–30.024%5 Sept
ancient13–80.0919%1 Sept
mirage4–8-0.0125%1 Sept
nuke13–60.0623%4 Aug
nuke13–6-0.0411%4 Aug
mirage13–90.016%1 Aug
nuke8–13-0.0913%1 Aug
inferno13–8-0.0013%1 Aug
ancient1–13-0.0119%1 Aug

Match data via Leetify.

Recent teammates

Milestones

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