Zenih

Zenih — CS2 Stats

FI76561198951779434[U:1:991513706]Steam profile ↗✓ No bans

1,585Tracked matches38%Win rate2023Tracked since
CSDB Rating3.8 LearningPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 1,585
−3.4ppWin rate · 41.4% → 37.9%

Rating over time

Premier CS Rating: 6,143 -357 14 Apr – 14 Jun · 5 days played
6,1436,500peak 6,50014 Apr14 Jun
6,807Peak Premier in tracked matches
38Days played since 2026-01-26

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

Share this profile

CSDB.GGZenihFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim51
Positioning44
Utility21

0–100 skill scores via Leetify.

Recent form

COLD35–57–8Last 10035%Win rateLLLWWLLTLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −3.5pp headshot accuracy · −158ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 474ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 519ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 598ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim5.1
Utility2.1
Positioning4.4
Opening Duels2.5
Clutch3.2

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

donk

Plays most like donk 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 47% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms 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

Aim5.1
Positioning4.4
Utility2.1
Mechanics5.2
Opening Duels2.1
Win Impact1.0

Composite 3.8/10 (Learning), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time630ms−11ms
first ⅓ avg 641ms → last ⅓ avg 630ms
Headshot accuracy12.8%+0.9%
first ⅓ avg 12.0% → last ⅓ avg 12.8%

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.

Personal bests

0.15Best match rating · 13–6 · nuke, 9 Mar →
31%Best headshot accuracy · 6–2 · dust2, 5 Mar →
453msFastest reaction time · 6–13 · ancient, 27 Feb →
13–1Biggest win · nuke, 26 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
5–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 45% over 22ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB2210–1245%-0.01
dust2C177–1041%-0.03
anubisD154–1127%-0.03
ancientD133–1023%-0.02
infernoC135–838%-0.02
mirageD62–433%-0.03
vertigo—41–325%-0.02
overpass—40–40%-0.03
cache—31–233%-0.03
train—32–167%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

234Matches
50%Win rate
0.79Avg K/D
62.2ADR
36%Headshot %

Clutches & streaks

36%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient6352%0.7611.3
Inferno4852%0.7912.6
Anubis4344%0.7711.7
Nuke4058%0.9211.9
Mirage1127%0.6910.7
Dust21020%0.618.9
Train1070%0.8215.1
Vertigo667%0.7813.0

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.

13.4%Headshot accuracy
34.3%Accuracy (enemy spotted)
33.3%Spray accuracy
73.3%Counter-strafing
9.8°Preaim
635msReaction time
20.2%T opening success
46.7%CT opening success
0.30Enemies flashed / flash
1.7%Flash assists
9.33HE damage / grenade
0.69Flashes / 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 13.4322% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.299 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 20.1558% — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.076%2 Oct →
vertigo11–13-0.078%2 Oct →
dust24–13-0.1015%2 Oct →
vertigo2–00.000%2 Oct →
anubis13–70.0716%2 Oct →
ancient9–130.0117%2 Oct →
anubis10–130.0013%4 Sept →
dust212–12-0.0411%4 Sept →
nuke5–130.0111%22 Jul →
ancient7–13-0.0420%18 Jul →
dust211–13-0.0415%18 Jul →
anubis13–90.0316%18 Jul →
nuke11–130.0223%18 Jul →
cache13–3-0.080%17 Jul →
nuke8–13-0.008%14 Jun →
cache5–13-0.0223%10 Jun →
dust213–60.0414%10 Jun →
dust211–130.0026%7 Jun →
ancient13–110.057%7 Jun →
ancient7–13-0.0320%19 May →
nuke13–10-0.0110%19 May →
cache9–130.0116%30 Apr →
anubis2–13-0.146%27 Apr →
mirage5–13-0.0012%27 Apr →
overpass6–13-0.0317%27 Apr →
nuke13–80.0018%27 Apr →
anubis3–13-0.0912%27 Apr →
inferno13–80.014%27 Apr →
train7–00.079%27 Apr →
nuke13–5-0.088%14 Apr →
anubis7–13-0.0310%14 Apr →
inferno16–13-0.0115%13 Apr →
dust213–4-0.0217%13 Apr →
anubis9–130.0016%13 Apr →
nuke4–13-0.084%13 Apr →
nuke13–8-0.0114%12 Apr →
dust212–12-0.0018%10 Apr →
nuke13–7-0.0011%10 Apr →
ancient5–13-0.0710%10 Apr →
nuke5–13-0.0315%7 Apr →
ancient6–13-0.0312%7 Apr →
overpass9–13-0.018%31 Mar →
anubis10–13-0.057%22 Mar →
train12–12-0.057%22 Mar →
dust213–10-0.059%22 Mar →
inferno4–13-0.083%21 Mar →
nuke12–12-0.0316%21 Mar →
anubis13–8-0.0419%20 Mar →
vertigo12–12-0.0211%20 Mar →
ancient13–70.027%20 Mar →
inferno7–13-0.0120%20 Mar →
dust213–30.0214%20 Mar →
nuke8–13-0.049%18 Mar →
train13–7-0.0619%15 Mar →
ancient13–11-0.019%15 Mar →
dust213–3-0.0230%15 Mar →
inferno16–130.0512%9 Mar →
nuke13–60.1513%9 Mar →
inferno6–130.0020%8 Mar →
dust29–13-0.076%8 Mar →
ancient9–13-0.0214%6 Mar →
anubis11–13-0.0015%6 Mar →
nuke12–120.0120%5 Mar →
inferno11–13-0.0111%5 Mar →
dust26–2-0.0531%5 Mar →
anubis7–13-0.0218%5 Mar →
mirage3–13-0.0314%4 Mar →
ancient9–130.0012%4 Mar →
inferno5–13-0.054%4 Mar →
dust29–130.0015%4 Mar →
anubis13–20.012%4 Mar →
overpass4–13-0.0513%1 Mar →
nuke13–70.038%1 Mar →
ancient11–130.0110%1 Mar →
ancient6–13-0.093%27 Feb →
dust29–13-0.0410%27 Feb →
inferno6–13-0.019%27 Feb →
dust29–13-0.0313%26 Feb →
mirage5–130.0014%26 Feb →
nuke13–10.0325%26 Feb →
overpass10–13-0.0413%24 Feb →
inferno9–13-0.048%24 Feb →
anubis5–13-0.0929%24 Feb →
nuke13–10-0.0010%22 Feb →
anubis3–13-0.0710%22 Feb →
dust213–90.0114%15 Feb →
mirage9–13-0.083%15 Feb →
dust212–12-0.0615%12 Feb →
mirage13–11-0.0617%12 Feb →
nuke8–13-0.089%12 Feb →
nuke13–90.016%1 Feb →
inferno7–13-0.0323%1 Feb →
inferno9–5-0.0614%1 Feb →
anubis14–16-0.0713%30 Jan →
nuke8–13-0.055%30 Jan →
ancient10–13-0.0912%29 Jan →
mirage13–11-0.0311%29 Jan →
inferno13–4-0.0211%29 Jan →
vertigo12–120.0019%29 Jan →
nuke7–130.0114%26 Jan →

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 →

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