VI VON EatPooPoo ZULUL

VI VON EatPooPoo ZULUL — CS2 Stats

CN76561198152687681[U:1:192421953]Steam profile ↗

1,406Tracked matches56%Win rate2023Tracked since
CSDB Rating6.6 SolidHybrid Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGVI VON EatPooPoo ZULULFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning57
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY543511Last 10054%Win rateLWTLWWLWWW

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.1
Aggression5.6
Utility6.8
Positioning5.7
Opening Duels1.4

Strong CT-side openerEffective flashes

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 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

Flashes. 0.86 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 43% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms 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

Aim8.1
Positioning5.7
Utility6.8
Mechanics7.8
Opening Duels1.7
Win Impact6.9

Composite 6.6/10 (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 rating0.04−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time550ms−24ms
first ⅓ avg 574ms → last ⅓ avg 550ms
Headshot accuracy15.9%−0.6%
first ⅓ avg 16.4% → last ⅓ avg 15.9%

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

0.21Best rating — anubis 13–7
131Biggest win — inferno
6Longest win streak
35In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 86% over 7ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B40202050%0.03
nukeB84450%-0.00
ancientC83538%0.03
infernoA85363%0.08
mirageS76186%0.04
vertigoC73443%0.03
anubisS64267%0.06
cacheB63350%0.03
trainA53260%0.03
overpass32167%0.04
boulder1010%0.03
fachwerk110100%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

41Matches
59%Win rate
1.19Avg K/D
ADR
46%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo1250%1.3018.8
Mirage1060%1.0516.0
Inferno771%1.2616.1
Anubis580%1.5519.8
Nuke367%1.1618.7
Ancient30%0.6411.0
Overpass1100%0.9110.0

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.

16.3%Headshot accuracy
37.6%Accuracy (enemy spotted)
39.8%Spray accuracy
85.1%Counter-strafing
9.4°Preaim
550msReaction time
27.9%T opening success
43.5%CT opening success
0.86Enemies flashed / flash
6.9%Flash assists
14.07HE damage / grenade
11.13Flashes / 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 27.8642% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
train11–130.0613%18 Aug
nuke13–9-0.0519%18 Aug
dust212–120.0313%17 Aug
ancient3–130.0219%17 Aug
dust213–90.0513%12 Aug
anubis13–90.1120%12 Aug
dust29–13-0.0123%11 Aug
mirage13–90.0412%11 Aug
inferno13–50.0913%10 Aug
dust213–50.0313%10 Aug
ancient13–4-0.0111%9 Aug
dust27–130.0216%9 Aug
vertigo10–130.0118%5 Aug
nuke13–70.0418%5 Aug
dust210–130.0614%3 Aug
mirage13–20.1820%3 Aug
inferno13–40.0822%2 Aug
inferno13–10.0916%2 Aug
vertigo10–13-0.0424%2 Aug
ancient7–130.089%1 Aug
mirage13–9-0.0612%1 Aug
train13–50.049%1 Aug
ancient12–120.0622%30 Jul
dust212–12-0.0616%30 Jul
train9–130.0314%30 Jul
nuke2–13-0.0220%29 Jul
vertigo8–13-0.0018%29 Jul
dust213–50.0614%28 Jul
dust213–8-0.029%28 Jul
dust211–130.0624%27 Jul
train13–60.028%27 Jul
cache13–70.048%26 Jul
dust213–50.1321%26 Jul
nuke5–130.0114%26 Jul
dust211–130.0221%24 Jul
dust25–13-0.0111%23 Jul
dust213–7-0.0015%23 Jul
anubis12–120.0411%22 Jul
mirage6–13-0.0921%22 Jul
dust213–50.0614%20 Jul
boulder12–120.0312%20 Jul
ancient13–5-0.038%19 Jul
dust212–120.0311%19 Jul
dust213–50.0517%19 Jul
dust210–130.0313%18 Jul
dust210–13-0.0318%18 Jul
inferno8–30.0919%16 Jul
anubis12–12-0.0612%16 Jul
ancient3–13-0.044%15 Jul
dust26–130.0618%15 Jul
fachwerk13–110.0918%14 Jul
dust213–110.0311%14 Jul
nuke4–13-0.0012%13 Jul
ancient13–40.0716%13 Jul
nuke13–80.0113%12 Jul
mirage13–90.0713%12 Jul
cache13–90.036%10 Jul
anubis13–50.059%10 Jul
vertigo5–130.0626%9 Jul
inferno7–130.0417%9 Jul
inferno10–130.1021%8 Jul
dust213–50.1118%8 Jul
dust211–130.1022%8 Jul
anubis13–60.0416%7 Jul
cache13–80.0820%7 Jul
cache12–120.0913%6 Jul
dust22–8-0.069%6 Jul
overpass13–80.0718%4 Jul
dust213–30.107%4 Jul
nuke4–30.0212%4 Jul
vertigo13–100.049%4 Jul
inferno6–130.0716%4 Jul
overpass8–13-0.0017%4 Jul
cache12–120.0011%3 Jul
dust213–80.0412%3 Jul
anubis13–70.2113%2 Jul
dust211–130.0710%2 Jul
dust26–130.0517%2 Jul
ancient12–120.0615%2 Jul
mirage13–6-0.0118%2 Jul
mirage13–20.1714%2 Jul
dust212–120.0318%1 Jul
cache5–13-0.0417%1 Jul
dust213–10-0.0115%1 Jul
vertigo13–90.0421%30 Jun
dust210–13-0.0518%30 Jun
dust213–100.1530%30 Jun
train13–40.029%29 Jun
dust213–8-0.0212%27 Jun
dust213–90.1017%27 Jun
dust213–80.0428%26 Jun
dust213–40.1316%26 Jun
dust27–130.0621%25 Jun
vertigo13–90.1217%25 Jun
dust28–1-0.0133%24 Jun
overpass13–80.0524%24 Jun
inferno13–60.0416%16 Jun
nuke4–13-0.0415%16 Jun
dust213–6-0.0522%15 Jun
dust22–13-0.046%15 Jun

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 →