Ecosnack

Ecosnack — CS2 Stats

GU76561199426348642[U:1:1466082914]Steam profile ↗✓ No bans

838Tracked matches57%Win rate2023Tracked since
1,737Hours in CS35Hrs last 2 wks
CSDB Rating6.5 SolidSupport
Premier CS Rating15,431Purple band · top ~26.7% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,431 +2,949 23 Jun – 14 Oct · 23 days played
12,48216,406peak 16,40623 Jun14 Oct
16,510Peak Premier in tracked matches
42Days played since 2026-06-23

Premier CS Rating

  • 975 below peak (16,406)
  • -434 over 30 days · declining
  • +699 over 90 days
  • Next: Pink band at 20,000 — 4,569 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches71——
Win rate46%——
K/D2.79——
Headshot %57%——

Measured 21 Sep 2026 → 18 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,312), 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 4 medianLevel 5 medianvs Level 5
Headshot rate43.8%42.7%43.7%meets
Shot accuracy0.2%11.3%12.0%11.9% short
Kill/death ratio1.120.991.02above
Match win rate39.7%43.9%44.7%5.0% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEcosnackFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,431 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning64
Utility66

0–100 skill scores via Leetify.

Recent form

HOT51–46–3Last 10051%Win rateWLWWLLWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +0.6pp headshot accuracy · −30ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 8%
  • Avg reaction 480ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 513ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 528ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim6.7
Utility6.6
Positioning6.4
Opening Duels3.8
Clutch1.0

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

ZywOo

Plays most like ZywOo 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

CSDB Rating breakdown

Aim6.7
Positioning6.4
Utility6.6
Mechanics5.9
Opening Duels6.0
Win Impact7.2

Composite 6.5/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time522ms−70ms
first ⅓ avg 592ms → last ⅓ avg 522ms
Headshot accuracy10.0%+0.6%
first ⅓ avg 9.4% → last ⅓ avg 10.0%

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.

Personal bests

0.13Best match rating · 9–7 · overpass, 30 Jun →
21%Best headshot accuracy · 8–13 · mirage, 5 Oct →
398msFastest reaction time · 8–8 · inferno, 2 Oct →
13–0Biggest win · inferno, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
16–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 69% over 13cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC177–1041%0.01
dust2S1510–567%-0.02
anubisA138–562%0.01
ancientS139–469%0.00
mirageC125–742%-0.01
nukeC104–640%0.01
cacheC83–538%0.01
train—42–250%0.03
overpass—32–167%0.06
shelter—11–0100%0.04
eldorado—10–10%-0.22
fachwerk—10–10%0.07
vertigo—10–10%0.06
italy—10–10%-0.04

Across the last 100 tracked matches.

Lifetime stats

39,357Lifetime kills
1.12K/D · Top 50% of Level 4 players
1,816Matches
39.7%Match win rate
43.8%Headshot % · Top 50% of Level 4 players
0.2%Shot accuracy
4,291MVPs
672Hours (in match)
2,456Bombs planted
331Bombs defused

Most-used weapons

Lifetime map wins

3,371dust2
1,892inferno
1,820nuke
543vertigo
330train
98office
28italy
9ar_shoots

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

Faceit stats

Combat

54Matches
56%Win rate
1.13Avg K/D
87.3ADR
27%Headshot %

Clutches & streaks

25%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1155%1.2315.8
Nuke1030%0.9213.5
Anubis1060%1.2614.7
Ancient967%1.0617.9
Mirage862%1.3315.0
Dust2667%0.9313.8

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.

10.2%Headshot accuracy
37.1%Accuracy (enemy spotted)
36.3%Spray accuracy
76.4%Counter-strafing
9.3°Preaim
531msReaction time
56.4%T opening success
51.5%CT opening success
0.64Enemies flashed / flash
7.1%Flash assists
12.81HE damage / grenade
8.80Flashes / 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 10.1783% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0012%15 Oct →
nuke8–130.105%14 Oct →
anubis13–7-0.0310%14 Oct →
anubis13–30.095%13 Oct →
dust23–13-0.058%13 Oct →
mirage10–130.0415%12 Oct →
anubis13–80.025%12 Oct →
dust213–8-0.0015%12 Oct →
ancient11–3-0.067%11 Oct →
anubis13–40.0815%11 Oct →
ancient13–80.0715%11 Oct →
mirage10–13-0.0411%11 Oct →
dust28–13-0.0210%9 Oct →
anubis6–13-0.023%9 Oct →
inferno16–140.037%8 Oct →
mirage13–2-0.0513%8 Oct →
train5–13-0.026%8 Oct →
nuke13–4-0.019%8 Oct →
ancient10–130.0213%8 Oct →
inferno3–130.024%7 Oct →
dust213–5-0.059%7 Oct →
inferno13–30.1115%7 Oct →
mirage8–130.0021%5 Oct →
train13–100.098%4 Oct →
cache8–130.0115%4 Oct →
ancient10–13-0.0815%4 Oct →
ancient13–80.013%4 Oct →
ancient13–70.0511%4 Oct →
inferno13–00.0715%3 Oct →
train9–130.026%3 Oct →
shelter13–30.047%2 Oct →
inferno8–80.0510%2 Oct →
anubis13–60.069%2 Oct →
nuke5–13-0.072%2 Oct →
inferno13–2-0.005%2 Oct →
inferno10–13-0.1117%2 Oct →
dust213–10-0.014%2 Oct →
nuke7–13-0.045%1 Oct →
ancient16–130.059%1 Oct →
nuke9–130.045%1 Oct →
inferno13–110.038%1 Oct →
anubis8–13-0.034%1 Oct →
inferno13–11-0.007%1 Oct →
ancient3–13-0.014%1 Oct →
inferno8–130.008%1 Oct →
mirage7–130.0411%1 Oct →
anubis6–13-0.068%30 Sept →
ancient16–14-0.055%11 Sept →
nuke8–13-0.045%9 Sept →
dust213–11-0.0112%8 Sept →
ancient9–130.037%7 Sept →
nuke13–11-0.0111%15 Aug →
anubis4–13-0.017%10 Aug →
inferno6–13-0.039%5 Aug →
inferno11–130.0513%2 Aug →
dust210–13-0.025%2 Aug →
mirage15–150.076%24 Jul →
mirage13–10-0.0611%24 Jul →
inferno13–30.1011%22 Jul →
mirage13–11-0.038%22 Jul →
dust213–60.0519%22 Jul →
eldorado2–9-0.2220%21 Jul →
dust213–8-0.0410%21 Jul →
inferno8–13-0.098%21 Jul →
dust213–11-0.0116%20 Jul →
dust211–13-0.0515%20 Jul →
mirage13–11-0.0811%20 Jul →
inferno7–13-0.046%17 Jul →
ancient13–110.047%17 Jul →
anubis13–90.0112%17 Jul →
dust213–9-0.009%17 Jul →
dust213–11-0.009%17 Jul →
dust29–13-0.0811%15 Jul →
cache13–30.0318%15 Jul →
anubis11–13-0.028%15 Jul →
ancient16–130.0111%15 Jul →
mirage2–13-0.039%15 Jul →
anubis13–80.0210%14 Jul →
inferno6–13-0.0515%12 Jul →
fachwerk10–130.077%9 Jul →
cache12–120.0113%8 Jul →
anubis13–30.0010%8 Jul →
nuke10–130.026%8 Jul →
cache1–13-0.028%7 Jul →
nuke13–11-0.0215%6 Jul →
train13–30.052%6 Jul →
inferno1–13-0.0521%6 Jul →
nuke13–60.119%6 Jul →
vertigo8–130.063%6 Jul →
overpass13–110.048%4 Jul →
cache8–13-0.055%3 Jul →
cache13–11-0.033%2 Jul →
overpass9–70.1310%30 Jun →
cache13–90.1220%30 Jun →
italy2–13-0.044%28 Jun →
overpass4–130.009%28 Jun →
ancient13–10-0.044%28 Jun →
dust213–50.0210%25 Jun →
cache6–13-0.0110%24 Jun →
mirage5–13-0.0310%23 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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