Zen

Zen — CS2 Stats

LV76561198215317589[U:1:255051861]Steam profile ↗✓ No bans

402Tracked matches30%Win rate2020Tracked since
1,471Hours in CS8Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating16,748Purple band · top ~21.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 16,748 → 16,748
+13Tracked matches · now 402
−3.3ppWin rate · 33.3% → 30.0%

Rating over time

Premier CS Rating: 16,748 -4,256 7 Feb – 18 Sept · 23 days played
16,07525,114peak 25,1147 Feb18 Sept
25,114Peak Premier in tracked matches
36Days played since 2026-02-07

Premier CS Rating

  • 8,366 below peak (25,114)
  • +337 over 30 days · steady
  • -4,460 over 90 days
  • Next: Pink band at 20,000 — 3,252 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Purple band first seen 2026-09-18
  • Blue band first seen 2026-09-18

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate37.6%44.4%46.9%9.3% short
Shot accuracy20.0%11.9%13.0%above
Kill/death ratio1.031.031.080.05 short
Match win rate42.1%45.2%46.7%4.5% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZenPREMIER16,748 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning50
Utility59

0–100 skill scores via Leetify.

Recent form

COLD42–56–2Last 10042%Win rateLLLLWWLLWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +3.7pp headshot accuracy · +18ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 31%
  • Avg reaction 634ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 639ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 630ms

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 (+1.6 against its own average).

Aim7.9
Utility5.9
Positioning5.0
Opening Duels3.7
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.

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 95% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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

Reaction time. 647ms 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

Aim7.9
Positioning5.0
Utility5.9
Mechanics7.8
Opening Duels2.7
Win Impact0.0

Composite 5.7/10 (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 rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time637ms−17ms
first ⅓ avg 654ms → last ⅓ avg 637ms
Headshot accuracy21.0%−0.9%
first ⅓ avg 21.9% → last ⅓ avg 21.0%

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

0.15Best match rating · 13–6 · mirage, 26 Jun →
44%Best headshot accuracy · 7–13 · mirage, 1 Jul →
375msFastest reaction time · 4–0 · inferno, 7 Feb →
13–1Biggest win · cache, 9 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
5–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 67% over 6nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageD3210–2231%-0.00
infernoA149–564%0.03
cacheD124–833%-0.01
ancientA117–464%-0.00
anubisD82–625%0.00
overpassC73–443%0.02
nukeD61–517%-0.02
dust2S64–267%-0.01
vertigo—21–150%-0.03
fachwerk—10–10%-0.00
sanctum—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,193Lifetime kills
1.03K/D
2,072Matches
42.1%Match win rate
37.6%Headshot %
20.0%Shot accuracy · Top 5% of Purple band
4,681MVPs
846Hours (in match)
1,885Bombs planted
541Bombs defused

Most-used weapons

AWP10,615
AK-478,644
SG 5531,650
Knife691
AUG649

Lifetime map wins

3,681inferno
1,829dust2
1,099train
787vertigo
493nuke
47lake
39office
28cbble

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

Faceit stats

Combat

325Matches
51%Win rate
1.28Avg K/D
89.2ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1250%1.4619.5
Ancient3100%1.2716.7
Dust2367%1.2815.3
Inferno2100%1.2512.0
Vertigo250%1.1014.0
Cache20%0.8816.0
Nuke10%0.8214.0

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.

20.0%Headshot accuracy
36.6%Accuracy (enemy spotted)
36.0%Spray accuracy
85.0%Counter-strafing
7.4°Preaim
647msReaction time
35.7%T opening success
45.5%CT opening success
0.60Enemies flashed / flash
3.4%Flash assists
8.59HE damage / grenade
14.19Flashes / 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 35.7146% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0725%10 Oct →
ancient1–8-0.0126%26 Sept →
nuke2–13-0.0340%26 Sept →
fachwerk9–8-0.0026%26 Sept →
inferno13–60.0235%25 Aug →
ancient13–100.0122%17 Aug →
mirage7–13-0.0315%17 Aug →
cache12–160.0418%15 Aug →
inferno13–110.0922%15 Aug →
mirage9–13-0.0616%15 Aug →
nuke13–110.0031%15 Aug →
dust213–100.0110%15 Aug →
inferno13–16-0.0217%15 Aug →
vertigo7–9-0.1027%15 Aug →
mirage13–16-0.0324%14 Aug →
ancient10–13-0.0218%4 Aug →
mirage10–130.0524%4 Aug →
dust213–40.0216%4 Aug →
mirage11–13-0.0329%4 Aug →
mirage10–130.0313%4 Aug →
dust20–13-0.109%2 Aug →
cache8–13-0.0413%1 Aug →
inferno13–90.0015%1 Aug →
cache13–3-0.0321%31 Jul →
ancient6–30.0120%31 Jul →
cache11–13-0.0710%31 Jul →
nuke10–13-0.0020%31 Jul →
mirage6–130.0319%31 Jul →
ancient4–13-0.076%30 Jul →
cache3–13-0.0223%30 Jul →
cache9–13-0.0122%25 Jul →
mirage13–50.0424%22 Jul →
dust29–13-0.0539%22 Jul →
mirage5–13-0.049%22 Jul →
cache3–130.0120%22 Jul →
mirage10–13-0.0324%22 Jul →
mirage13–40.1140%19 Jul →
dust213–50.0723%19 Jul →
mirage9–13-0.0520%17 Jul →
mirage1–13-0.0516%13 Jul →
inferno13–90.0131%13 Jul →
mirage8–13-0.0130%12 Jul →
mirage8–13-0.0224%12 Jul →
cache7–13-0.0539%10 Jul →
anubis9–13-0.0224%10 Jul →
cache13–3-0.0117%10 Jul →
mirage11–130.0819%10 Jul →
mirage13–5-0.0614%10 Jul →
nuke11–13-0.0118%10 Jul →
anubis4–13-0.0027%9 Jul →
cache13–11-0.0310%9 Jul →
cache13–10.1528%9 Jul →
mirage6–13-0.0424%9 Jul →
ancient13–100.0522%3 Jul →
inferno13–30.0728%2 Jul →
mirage5–13-0.0212%2 Jul →
ancient13–4-0.0312%2 Jul →
overpass11–13-0.0327%2 Jul →
mirage11–13-0.0322%1 Jul →
ancient13–60.0724%1 Jul →
mirage7–13-0.0944%1 Jul →
anubis10–13-0.0230%29 Jun →
overpass13–40.1125%28 Jun →
mirage3–13-0.0922%27 Jun →
overpass10–13-0.0228%27 Jun →
inferno7–130.0424%27 Jun →
dust213–6-0.0127%26 Jun →
nuke11–13-0.0535%26 Jun →
mirage13–60.1526%26 Jun →
mirage13–6-0.0722%25 Jun →
mirage13–60.0121%25 Jun →
mirage15–150.0329%25 Jun →
inferno13–3-0.0319%24 Jun →
mirage13–70.0725%24 Jun →
vertigo13–110.0425%12 Apr →
overpass13–80.0224%6 Apr →
ancient13–90.0226%6 Apr →
mirage13–9-0.0114%6 Apr →
mirage11–130.0434%21 Feb →
sanctum9–60.0228%21 Feb →
overpass13–90.0719%21 Feb →
inferno13–40.0817%15 Feb →
nuke13–16-0.0518%15 Feb →
overpass10–13-0.0213%15 Feb →
anubis3–13-0.0311%15 Feb →
ancient10–13-0.0620%14 Feb →
mirage13–110.0330%14 Feb →
anubis13–80.0825%14 Feb →
ancient13–50.0117%14 Feb →
inferno5–130.0922%13 Feb →
anubis9–13-0.0113%8 Feb →
mirage7–130.0431%8 Feb →
inferno13–90.0924%8 Feb →
overpass15–150.0423%8 Feb →
anubis13–100.0341%7 Feb →
inferno2–13-0.0312%7 Feb →
mirage13–60.0413%7 Feb →
inferno5–130.0021%7 Feb →
anubis5–13-0.0126%7 Feb →
inferno4–00.010%7 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.