Overlord Zenon ツ

Overlord Zenon ツ — CS2 Stats

76561197986963991[U:1:26698263]Steam profile ↗✓ No bans

992Tracked matches42%Win rate2025Tracked since
801Hours in CS5Hrs last 2 wks
CSDB Rating2.3 LearningSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 992 tracked matches. Play, then come back: the next observation lands here.

Rating over time

8,944Peak Premier in tracked matches
25Days played since 2026-08-27

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

Performance scores

Aim15
Positioning40
Utility42

0–100 skill scores via Leetify.

Recent form

COLD40–51–9Last 10040%Win rateLWLLLLLLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.5pp headshot accuracy · −67ms 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 -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 563ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 567ms

Last 20

  • 4–12–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 601ms

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 (+1.5 against its own average).

Aim1.5
Utility4.2
Positioning4.0
Opening Duels0.0

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

NiKo

Plays most like NiKo 56% 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. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% 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

Aim1.5
Positioning4.0
Utility4.2
Mechanics0.7
Opening Duels0.8
Win Impact2.4

Composite 2.3/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time595ms−28ms
first ⅓ avg 623ms → last ⅓ avg 595ms
Headshot accuracy10.5%−0.5%
first ⅓ avg 11.0% → last ⅓ avg 10.5%

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

0.09Best match rating · 13–4 · nuke, 19 Sept →
25%Best headshot accuracy · 4–13 · office, 20 Oct →
398msFastest reaction time · 13–4 · office, 13 Sept →
13–1Biggest win · dust2, 13 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

officeBest map · 58% over 12mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C198–1142%-0.02
officeA127–558%-0.04
nukeB115–645%-0.03
cacheD103–730%-0.04
mirageD81–713%-0.04
anubisC73–443%-0.02
infernoD62–433%-0.03
boulderC52–340%-0.03
trainC52–340%-0.06
vertigoC52–340%-0.04
italy—42–250%-0.03
ancient—40–40%-0.05
overpass—32–167%0.06
shelter—11–0100%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,716Lifetime kills
0.97K/D
1,167Matches
49.2%Match win rate · Top 25% of tracked players
43.9%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
2,822MVPs
960Hours (in match)
2,175Bombs planted
194Bombs defused

Most-used weapons

Lifetime map wins

2,500dust2
1,033office
1,021vertigo
866nuke
856inferno
499train
162italy
1ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.5%Headshot accuracy
25.8%Accuracy (enemy spotted)
32.3%Spray accuracy
53.1%Counter-strafing
13.5°Preaim
581msReaction time
31.5%T opening success
34.9%CT opening success
0.59Enemies flashed / flash
3.6%Flash assists
6.64HE damage / grenade
4.39Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4608° — above the 12° mark we flag

    Aim Training →
  2. 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 10.4681% — below the 15% mark we flag

    Aim Training →
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office9–13-0.016%21 Oct →
cache13–11-0.0217%21 Oct →
dust27–13-0.038%21 Oct →
office4–13-0.0825%20 Oct →
nuke3–13-0.066%20 Oct →
cache8–13-0.0311%20 Oct →
mirage9–13-0.019%20 Oct →
boulder10–13-0.064%16 Oct →
office13–7-0.058%16 Oct →
mirage5–13-0.110%15 Oct →
inferno2–13-0.079%15 Oct →
cache12–12-0.0611%8 Oct →
dust212–12-0.0310%8 Oct →
boulder13–50.0010%8 Oct →
dust26–13-0.0011%6 Oct →
office13–8-0.0113%6 Oct →
inferno15–150.0113%6 Oct →
anubis15–15-0.015%6 Oct →
italy3–13-0.0517%4 Oct →
train4–13-0.0420%4 Oct →
office6–13-0.087%3 Oct →
nuke9–130.009%3 Oct →
dust29–13-0.0810%3 Oct →
dust213–11-0.0412%2 Oct →
anubis13–40.077%2 Oct →
nuke13–4-0.073%2 Oct →
train13–4-0.105%2 Oct →
office13–11-0.0416%27 Sept →
train13–9-0.0224%27 Sept →
dust213–5-0.079%27 Sept →
dust23–13-0.0910%27 Sept →
mirage13–40.026%27 Sept →
train4–13-0.0517%25 Sept →
office1–13-0.0620%23 Sept →
cache13–100.0310%23 Sept →
dust28–13-0.086%23 Sept →
inferno13–40.048%23 Sept →
vertigo10–13-0.093%23 Sept →
dust25–130.0212%23 Sept →
cache3–13-0.097%23 Sept →
ancient4–13-0.058%22 Sept →
dust213–11-0.058%22 Sept →
nuke8–13-0.094%22 Sept →
vertigo9–13-0.022%21 Sept →
overpass9–130.015%21 Sept →
anubis13–8-0.0316%21 Sept →
dust213–50.0611%21 Sept →
ancient12–12-0.049%20 Sept →
anubis10–13-0.047%20 Sept →
vertigo13–11-0.016%20 Sept →
overpass13–50.078%19 Sept →
nuke13–40.095%19 Sept →
anubis13–70.017%19 Sept →
dust213–11-0.027%19 Sept →
cache6–13-0.1019%13 Sept →
office13–4-0.0319%13 Sept →
vertigo7–13-0.0010%13 Sept →
nuke5–13-0.076%13 Sept →
nuke11–13-0.085%13 Sept →
mirage2–13-0.0517%13 Sept →
dust213–10.0213%13 Sept →
dust28–13-0.018%10 Sept →
mirage10–13-0.069%10 Sept →
shelter13–6-0.0412%6 Sept →
office13–8-0.0412%6 Sept →
boulder12–12-0.038%6 Sept →
ancient11–13-0.068%6 Sept →
office9–13-0.025%6 Sept →
dust28–13-0.036%6 Sept →
vertigo13–10-0.0622%6 Sept →
nuke13–20.0619%6 Sept →
inferno13–11-0.0219%6 Sept →
mirage11–13-0.0312%6 Sept →
boulder5–13-0.120%5 Sept →
boulder13–110.039%5 Sept →
cache10–130.008%5 Sept →
inferno4–9-0.1123%5 Sept →
overpass9–50.094%5 Sept →
mirage3–13-0.057%5 Sept →
dust25–130.0211%5 Sept →
nuke5–13-0.1010%4 Sept →
cache4–13-0.0513%4 Sept →
office13–5-0.009%4 Sept →
italy12–12-0.068%3 Sept →
italy13–8-0.0212%3 Sept →
nuke13–70.047%3 Sept →
anubis3–13-0.094%3 Sept →
cache13–8-0.0111%3 Sept →
dust213–11-0.0413%3 Sept →
nuke13–6-0.0110%2 Sept →
dust213–100.0520%2 Sept →
anubis6–13-0.0317%2 Sept →
office13–3-0.026%2 Sept →
inferno3–13-0.044%2 Sept →
italy13–30.005%1 Sept →
dust212–12-0.067%1 Sept →
train8–13-0.1015%1 Sept →
cache9–13-0.0212%1 Sept →
mirage12–12-0.0415%1 Sept →
ancient10–13-0.0320%27 Aug →

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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