Zeniz

Zeniz — CS2 Stats

76561198072864093[U:1:112598365]Steam profile ↗✓ No bans

1,018Tracked matches48%Win rate2020Tracked since
3,881Hours in CS2Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
FaceitLevel 10 · 1,890 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,890 → 1,890
+30Tracked matches · now 1,018
+3.5ppWin rate · 44.8% → 48.3%

Rating over time

1,890Highest Faceit ELO seen on CSDB
83Days played since 2023-05-21

Faceit ELO

  • At peak — 1,890
  • Next: Level 10 at 2,001 — 111 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-18
  • Level 8 first seen 2026-09-18

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate43.8%50.9%
Shot accuracy17.0%13.7%
Kill/death ratio1.011.09
Match win rate46.5%48.4%

Share this profile

CSDB.GGZenizFACEITLevel 10 · 1,890 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,890csdb.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

Aim57
Positioning53
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateLLWWWLWLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · −96ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 552ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 516ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 564ms

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 (+1.8 against its own average).

Aim5.7
Utility6.1
Positioning5.3
Opening Duels2.7
Clutch3.0

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

Twistzz

Plays most like Twistzz 81% 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

Reaction time. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.7
Positioning5.3
Utility6.1
Mechanics4.0
Opening Duels2.6
Win Impact4.4

Composite 4.7/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time601ms+14ms
first ⅓ avg 587ms → last ⅓ avg 601ms
Headshot accuracy21.7%+8.8%
first ⅓ avg 12.9% → last ⅓ avg 21.7%

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

0.08Best match rating · 13–7 · ancient, 21 Feb →
40%Best headshot accuracy · 6–13 · nuke, 14 Nov →
414msFastest reaction time · 13–2 · anubis, 26 Aug →
13–2Biggest win · anubis, 26 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–12In matches decided by ≤2 rounds
44Overtime games

Map breakdown

cacheBest map · 67% over 6mirageWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
mirageD184–1422%-0.02
ancientB189–950%-0.01
nukeD165–1131%-0.02
vertigoB126–650%-0.02
anubisA116–555%-0.00
cacheS64–267%0.01
overpassS64–267%-0.02
dust2C52–340%-0.01
inferno—40–40%-0.02
train—43–175%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,758Lifetime kills
1.01K/D
4,765Matches
46.5%Match win rate
43.8%Headshot %
17.0%Shot accuracy · Top 25% of Level 10 players
16,657MVPs
2,569Hours (in match)
4,414Bombs planted
1,524Bombs defused

Most-used weapons

AK-4730,473
AWP10,047
FAMAS2,729
P2502,656
P902,330

Lifetime map wins

9,916inferno
9,008nuke
5,340dust2
4,442vertigo
2,029train
420cbble
261office
110safehouse

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

Faceit stats

Combat

1,827Matches
51%Win rate
0.93Avg K/D
72.8ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10442%0.9013.4
Ancient9961%1.0114.7
Nuke7348%0.9515.0
Anubis6955%0.9614.9
Dust24547%0.9514.6
Inferno3145%1.0015.1
Overpass2744%0.8713.9
Cache2748%0.9013.0

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.

21.9%Headshot accuracy
31.4%Accuracy (enemy spotted)
33.8%Spray accuracy
68.2%Counter-strafing
10.2°Preaim
590msReaction time
35.6%T opening success
45.1%CT opening success
0.59Enemies flashed / flash
6.5%Flash assists
11.58HE 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 35.5613% — below the 40% mark we flag

Spend your practice time on Mirage

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

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0121%27 Sept →
inferno10–11-0.0225%24 Sept →
mirage13–90.0324%22 Sept →
cache13–50.0112%16 Sept →
anubis13–10-0.0221%11 Sept →
mirage13–160.0132%11 Sept →
cache13–100.0520%3 Sept →
dust29–13-0.0423%3 Sept →
anubis19–17-0.0118%29 Aug →
dust214–160.0126%27 Aug →
dust213–70.0113%27 Aug →
anubis13–2-0.0118%26 Aug →
cache9–130.0216%20 Jul →
cache13–30.0014%10 Jul →
cache10–130.0318%7 May →
cache13–8-0.0224%1 May →
dust215–150.0127%14 Mar →
mirage11–13-0.0334%12 Mar →
overpass8–13-0.0025%10 Mar →
ancient10–130.0420%9 Mar →
inferno9–130.0034%9 Mar →
dust213–4-0.0528%1 Mar →
mirage7–13-0.0625%14 Feb →
ancient13–80.0114%11 Feb →
ancient11–13-0.0816%9 Feb →
overpass10–13-0.028%20 Jan →
anubis13–50.0321%16 Jan →
train13–8-0.0032%5 Jan →
nuke5–13-0.0612%29 Dec →
overpass13–10-0.0223%8 Dec →
nuke6–13-0.0440%14 Nov →
nuke12–160.0020%13 Nov →
mirage3–13-0.0611%4 Nov →
train13–100.0229%17 Oct →
nuke6–130.0230%22 Jul →
mirage13–9-0.0119%20 Jun →
ancient13–8-0.0528%5 Jun →
inferno9–13-0.0417%3 Jun →
nuke17–190.0119%16 Mar →
mirage0–13-0.0421%1 Mar →
ancient16–130.0018%25 Feb →
ancient13–60.0425%24 Feb →
ancient13–70.0819%21 Feb →
ancient13–110.0611%21 Feb →
inferno10–13-0.0329%19 Feb →
ancient13–60.0221%18 Feb →
nuke14–16-0.0316%12 Feb →
ancient8–13-0.0110%12 Feb →
mirage13–60.0226%12 Feb →
train8–13-0.0119%29 Jan →
mirage11–13-0.0433%28 Jan →
ancient13–7-0.0918%27 Jan →
nuke3–13-0.1113%26 Jan →
train13–11-0.0111%23 Jan →
nuke13–8-0.0216%22 Jan →
mirage6–13-0.029%19 Jan →
anubis13–4-0.0223%19 Jan →
ancient13–70.0222%19 Jan →
anubis14–160.0523%16 Jan →
mirage5–13-0.0210%15 Jan →
vertigo5–130.0029%15 Dec →
nuke9–130.0626%7 Dec →
mirage6–130.0127%23 Jan →
mirage11–13-0.0926%19 Jan →
vertigo13–70.0522%19 Jan →
vertigo16–140.0024%13 Jan →
overpass16–110.0323%13 Sept →
mirage13–16-0.0421%7 Sept →
vertigo16–13-0.029%7 Sept →
vertigo16–60.0018%6 Sept →
anubis6–16-0.0322%4 Sept →
anubis13–160.0512%17 Aug →
vertigo20–22-0.0213%16 Aug →
vertigo4–16-0.0513%16 Aug →
vertigo16–110.0113%14 Aug →
vertigo10–16-0.0517%7 Aug →
vertigo16–13-0.078%3 Jul →
ancient14–16-0.077%28 Jun →
anubis16–9-0.039%26 Jun →
ancient17–190.0110%24 Jun →
vertigo4–16-0.069%20 Jun →
nuke11–16-0.046%19 Jun →
nuke16–130.0112%19 Jun →
ancient3–16-0.098%14 Jun →
nuke18–220.016%13 Jun →
nuke25–21-0.0610%12 Jun →
overpass16–8-0.0611%11 Jun →
overpass16–14-0.027%9 Jun →
vertigo12–16-0.0227%9 Jun →
ancient10–16-0.037%7 Jun →
ancient12–16-0.0112%7 Jun →
ancient13–16-0.0422%7 Jun →
mirage9–16-0.044%6 Jun →
nuke22–19-0.0213%5 Jun →
mirage16–14-0.0112%5 Jun →
nuke16–120.0219%4 Jun →
mirage9–160.0221%31 May →
anubis11–16-0.0025%29 May →
anubis10–16-0.0315%25 May →
nuke5–16-0.018%21 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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