Gurkenkaiser

Gurkenkaiser — CS2 Stats

76561198161817588[U:1:201551860]Steam profile ↗✓ No bans

1,246Tracked matches50%Win rate2020Tracked since
CSDB Rating6.0 SolidAggressive Rifler
Premier CS Rating24,999Top 25% of 29,473 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#5445 of 42609 tracked
FaceitLevel 8 · 1,624 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGGurkenkaiserFACEITLevel 8 · 1,624 ELOSTANDINGTop 31.2% of rankedPREMIER24,999 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning46
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY62353Last 10062%Win rateWLWWLLLWWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.3
Aggression6.5
Utility6.5
Positioning4.6
Opening Duels1.9
Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Reaction time. 582ms 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

Aim7.3
Positioning4.6
Utility6.5
Mechanics7.2
Opening Duels1.9
Win Impact5.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.06
first ⅓ avg 0.06 → last ⅓ avg 0.00
Reaction time595ms−18ms
first ⅓ avg 613ms → last ⅓ avg 595ms
Headshot accuracy19.8%−2.4%
first ⅓ avg 22.1% → last ⅓ avg 19.8%

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.

Highlights

0.26Best rating — anubis 9–1
130Biggest win — ancient
7Longest win streak
74In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 67% over 9mirageWeakest map · 57% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A2113862%0.04
infernoA149564%0.04
mirageA148657%0.04
cacheA127558%0.00
anubisS96367%0.06
ancientA53260%0.01
trainA53260%0.02
boulder3030%-0.04
nuke31233%-0.05
shelter220100%0.09
warden220100%0.10
office220100%0.09
alpine21150%0.02
vertigo21150%0.06
italy110100%0.00
fachwerk110100%0.10
stronghold110100%-0.01
poseidon110100%0.21

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (57% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

382Matches
53%Win rate
1.10Avg K/D
82.2ADR
41%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
19Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3259%1.0616.6
Inferno1942%1.1417.5
Dust21258%1.1916.3
Ancient850%0.9316.4
Anubis757%1.0817.4
Overpass40%0.8512.8
Train333%1.0011.3

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.

20.3%Headshot accuracy
37.3%Accuracy (enemy spotted)
37.9%Spray accuracy
82.2%Counter-strafing
11.7°Preaim
582msReaction time
36.6%T opening success
38.7%CT opening success
0.61Enemies flashed / flash
10.4%Flash assists
14.11HE damage / grenade
6.25Flashes / 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 36.5776% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0710%28 Aug
cache0–3-0.080%26 Aug
cache13–9-0.0516%26 Aug
cache13–4-0.027%26 Aug
mirage4–130.0722%26 Aug
mirage3–13-0.0323%26 Aug
dust21–5-0.0730%23 Aug
dust213–30.0817%23 Aug
inferno13–80.0826%23 Aug
mirage13–80.0632%23 Aug
dust213–90.0729%22 Aug
mirage13–20.0734%22 Aug
dust213–70.0115%22 Aug
inferno8–130.0017%19 Aug
ancient13–00.0173%19 Aug
dust24–50.1615%17 Aug
dust28–13-0.0817%17 Aug
anubis13–40.1317%16 Aug
ancient3–11-0.070%16 Aug
cache13–50.1215%16 Aug
cache4–13-0.1033%16 Aug
dust24–13-0.129%16 Aug
dust20–130.0110%16 Aug
train13–4-0.0128%16 Aug
anubis4–130.0226%14 Aug
dust213–80.0917%10 Aug
boulder2–13-0.0618%10 Aug
boulder6–13-0.0721%9 Aug
nuke7–13-0.0514%8 Aug
dust213–10-0.0016%8 Aug
nuke11–13-0.098%8 Aug
mirage13–10.0415%7 Aug
mirage13–110.0122%7 Aug
italy13–70.0015%6 Aug
cache10–40.1524%6 Aug
inferno13–9-0.0575%6 Aug
inferno2–13-0.0224%5 Aug
mirage5–30.0221%5 Aug
mirage6–13-0.0930%5 Aug
ancient13–60.0517%3 Aug
shelter13–50.0816%2 Aug
ancient6–13-0.0439%2 Aug
inferno13–20.1323%31 Jul
dust213–50.0230%31 Jul
dust213–30.1216%31 Jul
inferno13–90.2022%25 Jul
anubis16–14-0.0623%24 Jul
anubis13–80.0546%22 Jul
inferno0–13-0.0650%17 Jul
fachwerk13–30.1026%17 Jul
dust213–60.0914%17 Jul
dust27–130.0630%17 Jul
mirage13–90.0123%17 Jul
dust213–60.0315%17 Jul
inferno3–130.0232%16 Jul
ancient13–100.1225%16 Jul
nuke13–4-0.0011%16 Jul
shelter13–50.1041%16 Jul
boulder7–130.0327%13 Jul
warden13–20.0921%8 Jul
office13–40.0325%8 Jul
office13–90.1550%8 Jul
cache8–13-0.0418%1 Jul
cache5–13-0.0117%1 Jul
anubis13–110.0430%29 Jun
mirage13–70.1535%24 Jun
dust26–13-0.0112%24 Jun
mirage13–90.1327%24 Jun
dust213–60.0825%22 Jun
train13–80.0925%17 Jun
train8–13-0.0131%17 Jun
inferno13–100.0426%15 Jun
dust213–70.018%11 Jun
dust213–70.0915%11 Jun
dust213–110.1022%9 Jun
anubis9–10.2624%9 Jun
stronghold13–11-0.0113%8 Jun
alpine13–5-0.0317%8 Jun
alpine3–70.0727%8 Jun
mirage13–60.0022%6 Jun
mirage14–160.0833%5 Jun
inferno13–00.1727%5 Jun
warden13–30.1121%4 Jun
train8–130.0729%4 Jun
cache13–110.0927%3 Jun
vertigo12–120.0434%3 Jun
vertigo13–100.0733%3 Jun
anubis13–90.0620%2 Jun
cache7–13-0.1110%30 Apr
cache13–90.0512%30 Apr
mirage15–150.0219%29 Apr
cache13–100.0213%29 Apr
anubis2–7-0.0310%26 Apr
anubis15–150.1230%26 Apr
inferno3–13-0.0635%25 Apr
dust29–130.0931%24 Apr
inferno13–60.0510%24 Apr
train13–9-0.0429%23 Apr
inferno13–50.058%19 Apr
poseidon9–30.2119%18 Apr

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 →