[EcoKing] Herbaceous

[EcoKing] Herbaceous — CS2 Stats

CA76561198023866319[U:1:63600591]Steam profile ↗✓ No bans

1,873Tracked matches43%Win rate2020Tracked since
5,368Hours in CS7Hrs last 2 wks
CSDB Rating3.8 Learning
FaceitLevel 4 · 1,395 ELOTop 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GG[EcoKing] HerbaceousFACEITLevel 4 · 1,395 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning37
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY40573Last 10040%Win rateWLWWLLLTWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim4.6
Aggression0.6
Utility6.6
Positioning3.7
Opening Duels0.0
Clutch2.2

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 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 28% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim4.6
Positioning3.7
Utility6.6
Mechanics5.9
Opening Duels0.0
Win Impact2.6

Composite 3.8/10 (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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time605ms−31ms
first ⅓ avg 636ms → last ⅓ avg 605ms
Headshot accuracy10.8%−2.2%
first ⅓ avg 13.0% → last ⅓ avg 10.8%

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

0.11Best rating — dust2 13–9
132Biggest win — nuke
7Longest win streak
1014In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 63% over 8infernoWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
ancientC1881044%-0.02
anubisA1710759%-0.00
nukeC1771041%-0.02
dust2D1541127%-0.01
infernoD91811%-0.02
cacheC83538%-0.01
overpassA85363%-0.03
mirageD71614%-0.02
shelter110100%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,023Lifetime kills
1.40K/D · Top 10% of tracked players
6,571Matches
40.1%Match win rate
39.2%Headshot %
13.4%Shot accuracy · Top 50% of tracked players
12,124MVPs
2,275Hours (in match)
4,719Bombs planted
1,786Bombs defused

Most-used weapons

AK-4740,705
AWP9,250
FAMAS3,604
SSG 083,245
MP93,004

Lifetime map wins

10,052dust2
7,133inferno
4,675nuke
3,028vertigo
845train
760office
370cbble
334lake

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

Faceit stats

Combat

521Matches
49%Win rate
1.01Avg K/D
72.4ADR
34%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient7152%1.0314.3
Anubis6851%1.0614.8
Mirage4840%0.9413.1
Nuke4648%1.0013.2
Dust24538%0.8913.1
Vertigo3956%1.0915.0
Inferno3145%0.9713.5
Overpass1553%0.8612.7

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.

10.6%Headshot accuracy
29.9%Accuracy (enemy spotted)
36.7%Spray accuracy
76.6%Counter-strafing
10.5°Preaim
602msReaction time
12.6%T opening success
27.8%CT opening success
0.54Enemies flashed / flash
7.0%Flash assists
7.49HE damage / grenade
15.31Flashes / 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 10.6252% — below the 15% mark we flag

    Aim Training
  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 12.5514% — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–80.0112%22 Aug
dust27–130.028%22 Aug
ancient13–8-0.0212%15 Aug
ancient13–7-0.067%18 Jul
ancient11–13-0.057%18 Jul
cache5–13-0.0410%18 Jul
anubis8–13-0.088%17 Jul
nuke15–15-0.0415%16 Jul
shelter13–5-0.088%16 Jul
cache13–30.014%16 Jul
cache11–13-0.0415%16 Jul
ancient13–10-0.0313%15 Jul
dust210–13-0.028%15 Jul
cache13–50.0118%15 Jul
anubis10–13-0.026%12 Jul
inferno4–13-0.105%12 Jul
cache7–130.019%12 Jul
nuke12–12-0.0012%12 Jul
cache11–13-0.0524%9 Jul
nuke9–13-0.0017%9 Jul
dust213–70.0614%9 Jul
nuke13–11-0.038%3 Jul
ancient8–130.0013%3 Jul
nuke10–13-0.073%3 Jul
anubis14–160.078%2 Jul
inferno2–130.0118%2 Jul
anubis16–12-0.059%2 Jul
nuke13–30.097%2 Jul
anubis13–110.026%2 Jul
inferno7–130.0015%1 Jul
ancient14–16-0.0212%27 Jun
dust210–130.0015%27 Jun
nuke4–11-0.0413%27 Jun
ancient4–13-0.057%27 Jun
overpass3–13-0.124%27 Jun
inferno6–13-0.0011%27 Jun
nuke13–20.0215%26 Jun
dust29–130.0516%26 Jun
inferno11–13-0.0424%25 Jun
ancient9–13-0.0118%25 Jun
overpass16–14-0.0315%25 Jun
nuke8–13-0.0216%25 Jun
anubis13–100.039%20 Jun
anubis10–13-0.004%17 Jun
inferno7–13-0.0110%17 Jun
mirage7–130.0215%16 Jun
dust216–120.0021%11 Jun
anubis11–130.0915%6 Jun
ancient13–8-0.047%6 Jun
anubis13–80.0110%30 May
ancient11–13-0.0216%30 May
inferno8–13-0.057%30 May
dust27–13-0.0013%30 May
mirage11–13-0.009%30 May
nuke3–13-0.059%28 May
ancient5–13-0.015%10 May
dust29–13-0.0512%10 May
inferno16–120.0415%10 May
anubis13–11-0.0210%2 May
mirage11–13-0.0411%29 Apr
dust27–13-0.0513%29 Apr
cache1–13-0.0223%29 Apr
ancient9–13-0.038%23 Apr
nuke5–13-0.0912%23 Apr
overpass13–11-0.046%23 Apr
dust27–13-0.0324%23 Apr
ancient13–11-0.029%23 Apr
anubis13–8-0.068%2 Apr
nuke13–11-0.0720%31 Mar
nuke13–80.027%15 Mar
dust210–13-0.087%14 Mar
mirage1–13-0.0610%14 Mar
overpass6–13-0.054%12 Mar
mirage4–13-0.0028%12 Mar
anubis13–10-0.0111%7 Mar
anubis13–20.008%7 Mar
mirage13–11-0.0215%6 Mar
dust26–13-0.0418%6 Mar
ancient11–13-0.039%6 Mar
ancient13–90.0224%5 Mar
dust213–8-0.0617%5 Mar
nuke13–40.049%5 Mar
mirage11–13-0.0030%5 Mar
nuke13–3-0.0212%4 Mar
ancient9–130.019%3 Mar
overpass13–80.0914%27 Feb
nuke3–13-0.0416%27 Feb
anubis14–160.009%17 Feb
nuke11–130.0018%13 Feb
anubis13–16-0.016%12 Feb
overpass5–130.0111%10 Feb
dust215–15-0.017%10 Feb
dust213–90.1115%8 Feb
anubis13–11-0.039%8 Feb
ancient13–50.0320%8 Feb
overpass16–12-0.019%5 Feb
ancient13–110.0113%4 Feb
anubis13–7-0.028%4 Feb
overpass13–10-0.0514%3 Feb
inferno7–13-0.0314%2 Feb

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 →