kroko

kroko — CS2 Stats

DK76561198114678931[U:1:154413203]Steam profile ↗

528Tracked matches55%Win rate2020Tracked since
2,619Hours in CS2Hrs last 2 wks
CSDB Rating3.9 Learning
FaceitLevel 6 · 1,249 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGkrokoFACEITLevel 6 · 1,249 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim41
Positioning47
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY46522Last 10046%Win rateWWWWWLLWLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim4.1
Aggression5.9
Utility5.2
Positioning4.7
Opening Duels1.3
Clutch2.6

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 81% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning4.7
Utility5.2
Mechanics3.9
Opening Duels1.7
Win Impact6.7

Composite 3.9/10 (Learning), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time654ms+9ms
first ⅓ avg 646ms → last ⅓ avg 654ms
Headshot accuracy16.6%−1.3%
first ⅓ avg 17.8% → last ⅓ avg 16.6%

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.

Highlights

0.15Best rating — overpass 9–3
131Biggest win — anubis
5Longest win streak
W5Current streak
710In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 65% over 20infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
ancientB21111052%-0.02
nukeS2013765%-0.02
overpassD2061430%-0.02
infernoD113827%-0.02
mirageA85363%-0.00
cacheB63350%0.00
anubisA53260%-0.02
dust23030%-0.00
train31233%-0.02
vertigo21150%0.04
warden1010%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,561Lifetime kills
0.84K/D
3,012Matches
41.8%Match win rate
41.1%Headshot %
13.9%Shot accuracy · Top 50% of tracked players
6,359MVPs
1,218Hours (in match)
3,200Bombs planted
726Bombs defused

Most-used weapons

AK-4713,480
AWP4,807
Knife1,283
P250900

Lifetime map wins

5,544nuke
3,809inferno
2,516vertigo
1,448train
1,441dust2
146lake
132cbble
119office

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

Faceit stats

Combat

275Matches
54%Win rate
0.79Avg K/D
62.0ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient5058%0.8512.4
Nuke3946%0.7011.4
Overpass2352%0.7111.7
Anubis2162%0.7410.6
Mirage2050%0.689.9
Inferno1958%0.7613.2
Vertigo1471%0.9113.9
Train850%0.7010.6

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.

16.2%Headshot accuracy
29.6%Accuracy (enemy spotted)
32.4%Spray accuracy
67.8%Counter-strafing
10.2°Preaim
635msReaction time
27.2%T opening success
43.3%CT opening success
0.48Enemies flashed / flash
2.5%Flash assists
7.05HE damage / grenade
10.11Flashes / 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 0.4793 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 27.1521% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke16–12-0.0116%18 Aug
cache13–40.0526%18 Aug
ancient13–50.0224%18 Aug
vertigo8–00.0617%12 Jul
cache13–7-0.0420%12 Jul
ancient14–16-0.0414%22 Jun
inferno7–13-0.065%22 Jun
mirage13–6-0.018%22 Jun
cache10–13-0.0314%13 May
cache7–13-0.0215%13 May
cache13–30.1221%29 Apr
cache9–13-0.0513%29 Apr
nuke12–12-0.0223%21 Apr
nuke13–3-0.0821%12 Apr
nuke13–11-0.0411%12 Apr
nuke8–13-0.0817%7 Apr
anubis13–10-0.056%7 Apr
mirage10–13-0.0213%2 Mar
anubis10–130.0016%2 Mar
ancient13–7-0.0318%2 Mar
warden6–130.0631%28 Feb
anubis13–10-0.0515%28 Feb
inferno6–13-0.0213%28 Feb
overpass9–13-0.0222%28 Feb
mirage13–110.0919%25 Feb
nuke16–13-0.0617%7 Feb
anubis13–10.0211%23 Jan
anubis6–13-0.0418%23 Jan
nuke13–40.0912%23 Jan
ancient11–13-0.0617%21 Dec
overpass4–13-0.0127%20 Dec
nuke19–22-0.0618%19 Dec
dust29–13-0.0111%17 Dec
overpass9–13-0.057%17 Dec
nuke13–11-0.0313%17 Dec
overpass13–9-0.0016%17 Dec
nuke13–100.0017%14 Dec
train11–13-0.025%8 Dec
ancient6–13-0.0614%8 Dec
overpass7–130.0333%8 Dec
nuke16–19-0.0114%16 Nov
nuke13–60.026%16 Nov
ancient9–13-0.0111%16 Nov
ancient9–130.0118%16 Nov
inferno16–14-0.0326%13 Nov
mirage10–130.0217%13 Nov
overpass11–13-0.0524%13 Nov
inferno13–6-0.0214%13 Nov
train13–80.0313%12 Nov
inferno11–13-0.0312%10 Nov
ancient13–11-0.028%10 Nov
overpass13–10-0.0317%8 Nov
ancient7–13-0.1020%8 Nov
overpass13–9-0.0215%5 Nov
ancient13–10-0.036%5 Nov
overpass13–90.1015%29 Oct
overpass7–13-0.0216%28 Oct
vertigo4–130.0226%26 Oct
overpass12–12-0.0213%8 Oct
ancient8–13-0.0019%7 Oct
nuke10–13-0.0810%7 Oct
overpass2–13-0.0311%7 Oct
overpass7–13-0.0211%6 Oct
ancient13–50.0114%6 Oct
inferno7–13-0.0217%6 Oct
overpass8–13-0.0910%5 Oct
inferno9–13-0.0112%5 Oct
inferno13–9-0.0413%1 Oct
overpass9–30.1511%30 Sept
ancient16–13-0.0010%27 Sept
ancient13–100.0417%27 Sept
dust211–13-0.0318%27 Sept
nuke14–16-0.0016%22 Sept
inferno5–13-0.0215%16 Sept
mirage13–40.0431%16 Sept
mirage13–5-0.0417%1 Sept
nuke9–13-0.0414%18 Aug
nuke13–11-0.0318%17 Aug
dust26–130.0334%17 Aug
ancient13–40.0825%17 Aug
mirage13–10-0.0614%17 Aug
nuke16–13-0.0623%17 Aug
ancient4–13-0.0821%17 Aug
overpass10–13-0.0515%17 Aug
inferno11–13-0.0023%16 Aug
overpass3–13-0.0119%16 Aug
overpass5–13-0.0624%13 Aug
overpass13–8-0.0818%13 Aug
overpass4–13-0.0115%12 Aug
inferno9–130.0120%12 Aug
ancient13–80.0515%12 Aug
nuke13–70.0422%12 Aug
ancient13–50.0518%12 Aug
mirage14–16-0.0524%10 Aug
ancient5–13-0.126%10 Aug
nuke13–5-0.0122%10 Aug
ancient6–13-0.0614%10 Aug
nuke13–11-0.0417%7 Aug
ancient13–6-0.0811%7 Aug
train11–13-0.0811%7 Aug

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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