ZeleroN :D

ZeleroN :D — CS2 Stats

SE76561198189644051[U:1:229378323]Steam profile ↗✓ No bans

1,057Tracked matches50%Win rate2021Tracked since
1,834Hours in CS
CSDB Rating6.6 SolidPositional Player
Premier CS Rating19,812Top 50% of 204,316 CSDB-tracked playersPurple band · top ~9.2% of ranked players (population est.)
CSDB Leaderboard#85752 of 251424 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

−187Premier CS Rating · 19,999 → 19,812

Rating over time

Premier CS Rating: 19,812 +5,060 17 Feb – 13 Oct · 30 days played
14,75221,730peak 21,73017 Feb13 Oct
21,879Peak Premier in tracked matches
1,595Highest Faceit ELO seen on CSDB
41Days played since 2026-02-17

Faceit ELO

  • At peak — 1,595
  • Next: Level 9 at 1,751 — 156 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 1,918 below peak (21,730)
  • -206 over 30 days · steady
  • Next: Pink band at 20,000 — 188 to go
  • Reached: Pink band · 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 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 rate41.4%44.3%46.9%5.6% short
Shot accuracy10.8%11.9%13.0%2.2% short
Kill/death ratio0.911.031.080.17 short
Match win rate47.2%45.2%46.7%meets

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

Widest gap: Shot accuracy. 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.GGZeleroN :DPREMIER19,812 · Purple bandPEAK ELO1,595csdb.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

Aim76
Positioning64
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateWLWWWWLLLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +0.1pp headshot accuracy · −47ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 16%
  • Avg reaction 511ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 559ms

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 (+1.7 against its own average).

Aim7.6
Utility5.7
Positioning6.4
Opening Duels3.7
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

iM

Plays most like iM 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 560ms 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

Aim7.6
Positioning6.4
Utility5.7
Mechanics7.3
Opening Duels5.9
Win Impact5.0

Composite 6.6/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time562ms−54ms
first ⅓ avg 616ms → last ⅓ avg 562ms
Headshot accuracy12.2%−1.4%
first ⅓ avg 13.5% → last ⅓ avg 12.2%

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

0.14Best match rating · 13–8 · dust2, 8 Oct →
28%Best headshot accuracy · 13–7 · mirage, 7 Sept →
406msFastest reaction time · 6–13 · dust2, 12 Sept →
13–2Biggest win · cache, 13 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 72% over 18anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2516–964%0.02
dust2C2410–1442%0.01
infernoS1813–572%0.00
ancientA127–558%0.01
cacheB84–450%0.01
nukeC73–443%-0.02
anubisD51–420%-0.01
overpass—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,654Lifetime kills
0.91K/D
3,552Matches
47.2%Match win rate · Top 50% of Purple band
41.4%Headshot %
10.8%Shot accuracy
11,163MVPs
1,834Hours (in match)
4,917Bombs planted
1,037Bombs defused

Most-used weapons

AK-4729,178
AWP7,650
MAC-101,504
FAMAS1,479
Tec-91,461

Lifetime map wins

7,254dust2
6,569inferno
2,520nuke
1,088vertigo
955train
690cbble
15office
14italy

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

Faceit stats

Combat

470Matches
50%Win rate
1.12Avg K/D
86.0ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage13050%1.0916.9
Inferno6850%1.2116.0
Ancient6755%1.1516.8
Anubis4854%1.1616.7
Dust24349%1.1217.8
Nuke2941%1.1317.6
Overpass1560%0.9914.7
Vertigo1225%1.2312.9

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.

11.4%Headshot accuracy
38.9%Accuracy (enemy spotted)
41.6%Spray accuracy
82.7%Counter-strafing
9.3°Preaim
560msReaction time
57.8%T opening success
49.3%CT opening success
0.54Enemies flashed / flash
9.8%Flash assists
10.49HE damage / grenade
7.33Flashes / 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 11.4169% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–20.0826%13 Oct →
ancient10–130.0312%13 Oct →
dust213–80.1414%8 Oct →
inferno13–30.0615%8 Oct →
inferno13–90.0111%8 Oct →
inferno13–8-0.049%8 Oct →
mirage9–13-0.0416%8 Oct →
dust29–130.0111%7 Oct →
cache9–130.038%5 Oct →
inferno13–60.0516%5 Oct →
mirage13–9-0.0618%5 Oct →
inferno13–110.0716%4 Oct →
dust28–130.019%4 Oct →
inferno4–13-0.0225%4 Oct →
dust214–160.016%4 Oct →
nuke13–6-0.0619%4 Oct →
cache15–150.019%3 Oct →
ancient13–60.078%3 Oct →
dust28–130.0418%3 Oct →
mirage13–6-0.009%3 Oct →
mirage13–40.0212%3 Oct →
ancient8–13-0.067%3 Oct →
mirage9–130.053%2 Oct →
ancient15–150.006%2 Oct →
mirage8–13-0.0314%2 Oct →
dust214–160.027%1 Oct →
inferno13–40.047%1 Oct →
cache13–5-0.014%1 Oct →
anubis10–13-0.0514%30 Sept →
nuke9–13-0.035%29 Sept →
dust213–7-0.0311%29 Sept →
dust24–13-0.0118%29 Sept →
inferno13–3-0.0117%28 Sept →
mirage13–7-0.0112%28 Sept →
nuke1–13-0.079%28 Sept →
nuke11–13-0.0112%27 Sept →
mirage13–50.119%27 Sept →
cache13–10-0.034%27 Sept →
ancient13–11-0.0015%27 Sept →
dust213–8-0.025%27 Sept →
dust216–140.0113%26 Sept →
inferno5–13-0.069%26 Sept →
dust213–80.0621%26 Sept →
ancient11–13-0.0415%25 Sept →
inferno13–10-0.0513%25 Sept →
inferno13–7-0.018%25 Sept →
mirage13–40.076%25 Sept →
cache6–13-0.028%24 Sept →
anubis6–13-0.0513%23 Sept →
cache9–13-0.018%23 Sept →
dust211–13-0.016%23 Sept →
dust213–7-0.0016%18 Sept →
mirage13–40.0010%18 Sept →
mirage13–6-0.0419%17 Sept →
dust26–13-0.029%12 Sept →
inferno13–16-0.0412%12 Sept →
dust211–13-0.0511%11 Sept →
ancient13–40.038%11 Sept →
inferno13–80.0512%9 Sept →
mirage13–20.1216%9 Sept →
ancient9–13-0.0713%9 Sept →
ancient13–110.039%8 Sept →
ancient13–10-0.0310%8 Sept →
dust29–130.0116%8 Sept →
anubis6–130.022%8 Sept →
dust210–130.0113%7 Sept →
mirage13–70.0128%7 Sept →
ancient13–40.0317%7 Sept →
dust213–60.0911%7 Sept →
mirage16–140.069%6 Sept →
mirage9–130.0113%6 Sept →
dust210–130.048%6 Sept →
mirage4–40.0113%6 Sept →
inferno5–13-0.097%6 Sept →
anubis12–16-0.0411%5 Sept →
mirage13–50.0514%5 Sept →
inferno10–13-0.0212%5 Sept →
dust213–110.0110%5 Sept →
mirage13–3-0.0011%5 Sept →
nuke7–13-0.055%2 Sept →
mirage9–13-0.0411%30 Aug →
dust210–13-0.0519%30 Aug →
inferno13–5-0.0114%29 Aug →
nuke16–14-0.0112%21 Aug →
mirage10–5-0.0620%21 Aug →
inferno13–60.0021%10 Jul →
mirage13–90.0119%9 Jul →
cache13–60.0720%4 Jul →
dust213–10-0.0624%25 Apr →
ancient13–90.106%1 Mar →
overpass8–130.019%27 Feb →
mirage8–130.0618%26 Feb →
anubis13–50.1015%25 Feb →
nuke13–90.0723%24 Feb →
mirage13–30.148%23 Feb →
inferno13–80.1211%19 Feb →
dust213–20.049%19 Feb →
mirage9–130.0321%17 Feb →
dust27–130.0611%17 Feb →
mirage15–150.0715%17 Feb →

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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