Gurky

Gurky — CS2 Stats

GB76561198257694688[U:1:297428960]Steam profile ↗✓ No bans

1,137Tracked matches41%Win rate2022Tracked since
1,068Hours in CS1Hrs last 2 wks
CSDB Rating4.0 Developing
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 medianLevel 3 medianvs Level 3
Headshot rate31.5%41.2%42.2%10.7% short
Shot accuracy12.3%12.5%11.9%above
Kill/death ratio0.640.960.980.33 short
Match win rate36.5%42.8%43.6%7.1% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGurkyFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning47
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY39592Last 10039%Win rateLWWWLLWLLL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim3.8
Aggression4.8
Utility5.1
Positioning4.7
Opening Duels1.2
Clutch6.0

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 42% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms 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

Aim3.8
Positioning4.7
Utility5.1
Mechanics5.6
Opening Duels1.5
Win Impact2.1

Composite 4.0/10 (Developing), 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 rating-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time653ms−21ms
first ⅓ avg 674ms → last ⅓ avg 653ms
Headshot accuracy11.0%+1.4%
first ⅓ avg 9.6% → last ⅓ avg 11.0%

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

0.10Best rating — ancient 16–13
130Biggest win — nuke
3Longest win streak
97In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 57% over 21infernoWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
nukeA2112957%-0.03
ancientB2091145%-0.02
anubisD1331023%-0.03
infernoD1321115%-0.04
overpassB105550%-0.04
mirageC94544%-0.02
cacheC83538%-0.03
vertigo41325%-0.08
dust21010%-0.04
office1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,146Lifetime kills
0.64K/D
1,796Matches
36.5%Match win rate
31.5%Headshot %
12.3%Shot accuracy
1,580MVPs
577Hours (in match)
1,141Bombs planted
252Bombs defused

Most-used weapons

Lifetime map wins

2,119nuke
1,905inferno
616dust2
464vertigo
110train
69safehouse
35lake
33office

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

Faceit stats

Combat

10Matches
20%Win rate
0.41Avg K/D
65.4ADR
32%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke1100%0.5610.0
Vertigo10%0.112.0
Anubis10%0.7915.0
Ancient10%0.479.0

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.

11.4%Headshot accuracy
33.5%Accuracy (enemy spotted)
31.2%Spray accuracy
75.0%Counter-strafing
11.7°Preaim
657msReaction time
27.1%T opening success
42.2%CT opening success
0.50Enemies flashed / flash
1.7%Flash assists
9.37HE damage / grenade
6.34Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.3931% — below the 15% mark we flag

    Aim Training
  2. 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 0.4957 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 27.1222% — below the 40% mark we flag

Spend your practice time on Inferno

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0216%16 Aug
ancient13–90.0213%16 Aug
nuke13–7-0.0217%12 Aug
nuke13–11-0.0410%12 Aug
inferno3–9-0.225%20 Jul
vertigo4–9-0.190%20 Jul
nuke13–8-0.020%19 Jun
mirage8–13-0.0211%14 Jun
mirage6–130.0015%6 Jun
cache7–13-0.0710%5 Jun
nuke15–15-0.018%5 Jun
overpass13–10-0.0614%2 Jun
mirage13–3-0.039%31 May
mirage10–13-0.0611%31 May
inferno11–130.0414%29 May
mirage13–90.018%29 May
nuke13–11-0.0516%20 May
nuke13–3-0.0333%20 May
cache8–13-0.048%20 May
anubis5–13-0.074%17 May
ancient7–13-0.075%11 May
cache13–8-0.019%11 May
cache13–10-0.0112%1 May
cache7–13-0.030%1 May
cache13–20.0313%29 Apr
cache8–13-0.049%29 Apr
cache8–13-0.0618%29 Apr
dust21–13-0.0428%18 Apr
ancient9–13-0.0111%18 Apr
ancient7–13-0.0011%17 Apr
inferno6–130.0611%17 Apr
overpass10–13-0.038%17 Apr
nuke10–13-0.077%14 Apr
inferno13–6-0.023%10 Apr
nuke7–13-0.0210%10 Apr
ancient8–13-0.0410%9 Apr
ancient16–14-0.077%3 Apr
anubis11–13-0.0711%3 Apr
anubis13–90.054%11 Mar
overpass13–11-0.097%11 Mar
vertigo3–13-0.0120%10 Mar
ancient7–13-0.098%10 Mar
anubis3–13-0.039%4 Mar
nuke5–13-0.0212%3 Mar
anubis5–13-0.085%28 Feb
ancient13–10-0.0712%27 Feb
ancient13–50.0510%27 Feb
overpass13–6-0.0311%27 Feb
anubis6–13-0.0610%23 Feb
nuke13–6-0.042%23 Feb
ancient7–130.0113%22 Feb
nuke13–110.0221%22 Feb
overpass11–13-0.0413%22 Feb
anubis13–110.0110%22 Feb
overpass11–13-0.0011%16 Feb
nuke13–100.008%16 Feb
ancient3–13-0.113%15 Feb
nuke2–13-0.1014%15 Feb
nuke13–7-0.0418%7 Feb
overpass13–11-0.0810%7 Feb
vertigo6–13-0.0317%7 Feb
nuke13–00.026%6 Feb
ancient8–13-0.044%2 Feb
mirage13–60.059%31 Jan
inferno1–13-0.120%30 Jan
anubis10–13-0.0211%28 Jan
ancient16–130.105%28 Jan
ancient14–16-0.057%26 Jan
mirage13–9-0.0415%26 Jan
ancient13–50.042%25 Jan
nuke7–130.0111%24 Jan
anubis4–13-0.097%24 Jan
anubis11–13-0.0110%24 Jan
anubis13–11-0.0210%23 Jan
inferno13–16-0.0114%10 Jan
nuke11–13-0.0613%10 Jan
ancient8–13-0.0925%1 Jan
vertigo13–11-0.080%30 Dec
inferno9–13-0.0414%30 Dec
ancient13–8-0.019%1 Nov
overpass13–6-0.033%1 Nov
mirage1–13-0.0812%1 Nov
overpass4–13-0.0417%1 Nov
inferno9–13-0.0010%1 Nov
ancient13–8-0.018%31 Oct
inferno13–30.036%31 Oct
inferno9–13-0.0715%29 Oct
ancient13–90.0212%29 Oct
mirage4–13-0.017%24 Oct
nuke4–13-0.0219%24 Oct
nuke13–10-0.114%4 Oct
anubis5–130.0012%2 Oct
overpass9–130.0310%27 Sept
inferno10–13-0.075%27 Sept
nuke13–80.049%23 Sept
inferno15–15-0.065%22 Sept
ancient8–13-0.042%22 Sept
inferno10–13-0.017%22 Sept
nuke10–13-0.025%21 Sept
office4–13-0.0514%21 Sept

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 →