zender'

zender' — CS2 Stats

76561198260874034[U:1:300608306]Steam profile ↗✓ No bans

789Tracked matches41%Win rate2023Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating6,289Light Blue band · top ~72.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
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.

+213Premier CS Rating · 6,076 → 6,289

Rating over time

Premier CS Rating: 6,289 -277 3 Sept – 23 Oct · 31 days played
5,2046,994peak 6,9943 Sept23 Oct
6,994Peak Premier in tracked matches
34Days played since 2026-09-03

Premier CS Rating

  • 705 below peak (6,994)
  • -367 over 30 days · steady
  • Next: Blue band at 10,000 — 3,711 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-03

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

Share this profile

CSDB.GGzender'FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER6,289 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning46
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY41–52–7Last 10041%Win rateWLLWLLWWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −3.8pp headshot accuracy · +54ms reaction

Win rate up 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 628ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 624ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 597ms

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 (+2.2 against its own average).

Aim6.7
Utility4.8
Positioning4.6
Opening Duels1.1
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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 598ms 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

Aim6.7
Positioning4.6
Utility4.8
Mechanics5.9
Opening Duels2.1
Win Impact2.1

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time594ms−51ms
first ⅓ avg 644ms → last ⅓ avg 594ms
Headshot accuracy12.8%−1.5%
first ⅓ avg 14.4% → 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 · 6–10 · anubis, 7 Oct →
44%Best headshot accuracy · 13–9 · dust2, 15 Sept →
391msFastest reaction time · 8–13 · mirage, 9 Oct →
13–0Biggest win · ancient, 28 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 50% over 6infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2914–1548%-0.01
anubisD165–1131%-0.00
nukeC156–940%-0.01
dust2C125–742%-0.04
cacheD103–730%-0.04
infernoD72–529%-0.07
ancientB63–350%-0.02
overpass—32–167%-0.03
vertigo—21–150%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

29Matches
52%Win rate
0.54Avg K/D
46.8ADR
28%Headshot %

Clutches & streaks

20%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke650%0.639.8
Mirage560%0.627.0
Cache560%0.577.6
Dust2425%0.356.3
Anubis367%0.719.3
Ancient333%0.357.7
Vertigo367%0.437.7

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.

12.7%Headshot accuracy
36.0%Accuracy (enemy spotted)
39.6%Spray accuracy
76.4%Counter-strafing
8.6°Preaim
598msReaction time
36.0%T opening success
40.6%CT opening success
0.55Enemies flashed / flash
8.6%Flash assists
6.68HE damage / grenade
4.56Flashes / 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 12.6504% — below the 15% mark we flag

    Aim Training →
  2. 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 36.0134% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–110.0111%23 Oct →
mirage7–13-0.100%23 Oct →
cache13–16-0.0219%22 Oct →
anubis13–10-0.007%22 Oct →
cache8–13-0.0510%21 Oct →
anubis4–13-0.080%20 Oct →
mirage13–100.0311%20 Oct →
dust213–70.0711%16 Oct →
ancient13–20.0310%16 Oct →
mirage10–13-0.0117%15 Oct →
nuke14–16-0.0413%14 Oct →
nuke13–90.036%13 Oct →
dust25–13-0.0811%11 Oct →
mirage13–70.016%11 Oct →
inferno7–9-0.0924%11 Oct →
cache7–13-0.0324%11 Oct →
vertigo4–13-0.079%10 Oct →
overpass3–6-0.0914%10 Oct →
cache4–13-0.089%10 Oct →
mirage13–40.0116%10 Oct →
ancient13–30.0324%10 Oct →
mirage9–130.1223%10 Oct →
mirage13–70.0514%10 Oct →
dust26–13-0.077%10 Oct →
mirage12–12-0.0116%9 Oct →
dust213–10-0.108%9 Oct →
anubis4–7-0.000%9 Oct →
overpass13–80.1322%9 Oct →
mirage8–13-0.0311%9 Oct →
anubis6–100.1520%7 Oct →
nuke6–130.0223%7 Oct →
mirage13–16-0.038%6 Oct →
cache16–14-0.0019%6 Oct →
dust29–13-0.097%6 Oct →
dust211–1-0.034%6 Oct →
nuke13–80.0115%6 Oct →
anubis8–130.0115%5 Oct →
anubis13–160.0010%4 Oct →
mirage16–12-0.0110%4 Oct →
anubis13–4-0.0114%4 Oct →
nuke10–130.0110%4 Oct →
nuke13–11-0.0113%4 Oct →
mirage16–130.0311%4 Oct →
dust214–16-0.036%3 Oct →
nuke6–130.109%3 Oct →
dust25–13-0.042%3 Oct →
anubis7–13-0.033%3 Oct →
anubis13–10.030%3 Oct →
mirage7–130.0912%3 Oct →
dust26–13-0.126%2 Oct →
cache15–150.0321%2 Oct →
nuke13–100.1034%2 Oct →
ancient4–13-0.098%2 Oct →
cache5–13-0.073%2 Oct →
dust24–13-0.105%2 Oct →
inferno1–13-0.077%2 Oct →
cache13–10-0.089%1 Oct →
inferno11–13-0.1022%1 Oct →
inferno4–13-0.057%1 Oct →
mirage13–9-0.037%1 Oct →
anubis15–15-0.0410%30 Sept →
nuke5–13-0.046%30 Sept →
mirage12–80.0313%30 Sept →
nuke8–13-0.037%29 Sept →
mirage13–11-0.1111%28 Sept →
cache15–15-0.098%28 Sept →
anubis13–3-0.054%28 Sept →
ancient13–00.010%28 Sept →
vertigo13–2-0.067%28 Sept →
inferno13–40.016%27 Sept →
mirage10–13-0.097%26 Sept →
mirage8–13-0.083%25 Sept →
mirage10–130.0315%20 Sept →
nuke7–13-0.0612%20 Sept →
mirage12–12-0.028%19 Sept →
inferno13–9-0.048%19 Sept →
overpass13–4-0.110%19 Sept →
nuke1–6-0.0510%17 Sept →
mirage2–20.020%17 Sept →
anubis11–13-0.0816%17 Sept →
nuke5–9-0.1418%16 Sept →
inferno8–8-0.1621%16 Sept →
anubis13–10.1236%15 Sept →
anubis10–130.0824%15 Sept →
dust213–90.0444%15 Sept →
ancient4–13-0.0315%15 Sept →
dust213–110.0423%14 Sept →
anubis11–13-0.0025%14 Sept →
mirage13–10-0.0139%13 Sept →
mirage2–13-0.0623%12 Sept →
ancient15–15-0.077%12 Sept →
anubis4–13-0.0812%10 Sept →
mirage13–9-0.089%10 Sept →
mirage11–13-0.0213%5 Sept →
nuke13–5-0.076%5 Sept →
cache13–8-0.0214%5 Sept →
mirage13–4-0.013%5 Sept →
mirage4–13-0.013%5 Sept →
mirage2–13-0.0340%5 Sept →
mirage13–100.019%5 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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