wolzenzo =DD

wolzenzo =DD — CS2 Stats

EE76561198171989503[U:1:211723775]Steam profile ↗✓ No bans

462Tracked matches50%Win rate2020Tracked since
3,392Hours in CS15Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
Premier CS Rating14,382Blue band · top ~31.7% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (yesterday). 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: 14,382 +3,063 18 Feb – 22 Oct · 30 days played
9,88315,723peak 15,72318 Feb22 Oct
15,723Peak Premier in tracked matches
52Days played since 2026-02-18

Premier CS Rating

  • 1,341 below peak (15,723)
  • +162 over 30 days · steady
  • Next: Purple band at 15,000 — 618 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate49.4%43.7%44.8%above
Shot accuracy16.9%12.0%12.4%above
Kill/death ratio0.831.021.030.21 short
Match win rate42.7%44.7%45.2%2.5% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGwolzenzo =DDFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,382 · Blue 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

Aim58
Positioning37
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWLWLWWLLWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −9.7pp headshot accuracy · −16ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 656ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 647ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 655ms

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 (+2.4 against its own average).

Aim5.8
Utility4.7
Positioning3.7
Opening Duels0.8
Clutch0.0

Limited utility dependence

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 93% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 45% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 639ms 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

Aim5.8
Positioning3.7
Utility4.7
Mechanics5.0
Opening Duels1.9
Win Impact5.0

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time644ms−97ms
first ⅓ avg 741ms → last ⅓ avg 644ms
Headshot accuracy22.9%+1.1%
first ⅓ avg 21.8% → last ⅓ avg 22.9%

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.

Personal bests

0.13Best match rating · 13–6 · dust2, 8 Jul →
44%Best headshot accuracy · 13–10 · mirage, 5 Jun →
500msFastest reaction time · 16–12 · anubis, 21 Oct →
13–1Biggest win · vertigo, 31 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
9–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

vertigoBest map · 57% over 7trainWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
anubisC208–1240%-0.03
mirageC156–940%-0.00
dust2B157–847%-0.02
infernoA116–555%-0.03
cacheA116–555%-0.03
nukeC94–544%-0.03
vertigoA74–357%-0.01
trainD62–433%-0.03
ancientC52–340%-0.03
overpass—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

96,223Lifetime kills
0.83K/D
4,190Matches
42.7%Match win rate
49.4%Headshot % · Top 25% of Level 5 players
16.9%Shot accuracy · Top 25% of Level 5 players
12,179MVPs
2,656Hours (in match)
8,716Bombs planted
2,983Bombs defused

Most-used weapons

Lifetime map wins

9,508inferno
4,843dust2
1,648train
1,380cbble
881vertigo
873nuke
144office
44italy

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

Faceit stats

Combat

239Matches
50%Win rate
0.93Avg K/D
53.8ADR
48%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust220%0.5810.0
Ancient10%0.4616.0
Overpass1100%0.6012.0

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.

22.5%Headshot accuracy
30.4%Accuracy (enemy spotted)
30.2%Spray accuracy
72.7%Counter-strafing
8.6°Preaim
639msReaction time
45.0%T opening success
26.6%CT opening success
0.63Enemies flashed / flash
5.6%Flash assists
11.47HE damage / grenade
4.09Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 26.614% — below the 40% mark we flag

Spend your practice time on Train

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis16–14-0.026%22 Oct →
inferno4–13-0.0119%22 Oct →
inferno13–11-0.0628%21 Oct →
mirage2–10-0.0711%21 Oct →
inferno16–14-0.0619%21 Oct →
anubis16–12-0.0314%21 Oct →
anubis0–13-0.0125%21 Oct →
dust24–13-0.1131%21 Oct →
mirage13–60.0015%18 Oct →
inferno11–13-0.0613%18 Oct →
mirage5–8-0.0531%18 Oct →
cache4–13-0.0817%18 Oct →
inferno13–8-0.0139%18 Oct →
inferno6–13-0.1027%16 Oct →
ancient8–13-0.0320%16 Oct →
anubis4–13-0.0623%16 Oct →
dust29–13-0.0232%15 Oct →
dust23–130.0124%15 Oct →
dust213–80.0034%14 Oct →
nuke7–13-0.0230%13 Oct →
cache13–20.0418%13 Oct →
anubis6–13-0.0415%13 Oct →
cache16–130.0124%8 Oct →
inferno16–14-0.0137%8 Oct →
dust23–13-0.0428%8 Oct →
anubis13–4-0.0318%4 Oct →
cache8–13-0.0321%4 Oct →
anubis13–5-0.0328%4 Oct →
cache13–20.0020%29 Sept →
anubis13–10-0.0015%29 Sept →
dust26–13-0.0232%23 Sept →
vertigo11–5-0.0414%23 Sept →
vertigo13–5-0.0129%23 Sept →
inferno13–60.0543%18 Sept →
anubis12–120.0114%18 Sept →
anubis4–13-0.0713%18 Sept →
anubis2–13-0.139%18 Sept →
anubis6–130.0533%17 Sept →
anubis15–150.0423%14 Sept →
dust213–100.0128%14 Sept →
nuke13–4-0.0024%2 Sept →
inferno4–13-0.0516%2 Sept →
dust213–8-0.0214%2 Sept →
cache3–13-0.0913%26 Aug →
cache13–3-0.1113%26 Aug →
ancient10–13-0.0516%22 Aug →
dust26–13-0.1114%22 Aug →
nuke9–13-0.0523%21 Aug →
anubis6–13-0.0812%20 Aug →
ancient13–11-0.0513%12 Aug →
anubis13–2-0.0222%12 Aug →
ancient13–8-0.0221%8 Aug →
mirage11–13-0.014%8 Aug →
dust213–11-0.0226%31 Jul →
vertigo13–1-0.0320%31 Jul →
ancient3–13-0.0213%22 Jul →
dust213–5-0.0214%16 Jul →
vertigo5–13-0.0820%8 Jul →
dust213–60.1333%8 Jul →
nuke9–13-0.0520%5 Jul →
cache8–13-0.066%2 Jul →
cache13–11-0.0224%2 Jul →
nuke13–80.0217%29 Jun →
mirage13–50.0719%29 Jun →
train9–13-0.0736%17 Jun →
train6–13-0.0613%17 Jun →
train13–8-0.0234%17 Jun →
mirage13–10-0.0244%5 Jun →
vertigo9–13-0.0433%5 Jun →
vertigo11–130.0021%5 Jun →
mirage7–130.0122%30 May →
anubis9–13-0.0927%28 May →
nuke13–100.0017%20 May →
mirage13–60.0811%13 May →
cache8–130.0221%11 May →
cache13–5-0.0223%7 May →
dust29–13-0.0620%27 Apr →
inferno11–13-0.0123%21 Apr →
mirage7–13-0.0117%21 Apr →
nuke10–13-0.0723%20 Apr →
vertigo13–50.1325%8 Apr →
anubis5–13-0.0422%4 Apr →
anubis1–13-0.0210%3 Apr →
anubis13–8-0.0125%3 Apr →
anubis13–90.0118%18 Mar →
mirage16–140.0119%18 Mar →
nuke6–13-0.0326%18 Mar →
dust213–9-0.0317%14 Mar →
mirage14–16-0.0314%14 Mar →
overpass8–13-0.0518%14 Mar →
nuke13–7-0.0314%9 Mar →
mirage9–13-0.0418%7 Mar →
mirage8–13-0.0118%5 Mar →
inferno16–14-0.0219%5 Mar →
dust22–13-0.0619%4 Mar →
train13–6-0.0130%28 Feb →
train3–13-0.0117%27 Feb →
train10–130.0225%25 Feb →
mirage15–150.0237%18 Feb →
mirage7–130.0425%18 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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