Zeeno

Zeeno — CS2 Stats

76561199024905714[U:1:1064639986]Steam profile ↗✓ No bans

224Tracked matches62%Win rate2020Tracked since
813Hours in CS22Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Performance scores

Aim79
Positioning60
Utility34

0–100 skill scores via Leetify.

Recent form

HOT44–47–9Last 10044%Win rateWWLWWTWWLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +3.4pp headshot accuracy · +64ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 659ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 648ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 617ms

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 (+2 against its own average).

Aim7.9
Utility3.4
Positioning6.0
Opening Duels2.7

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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 64% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 552ms 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

Aim7.9
Positioning6.0
Utility3.4
Mechanics7.7
Opening Duels5.0
Win Impact8.8

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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time586ms−46ms
first ⅓ avg 632ms → last ⅓ avg 586ms
Headshot accuracy17.8%−1.3%
first ⅓ avg 19.1% → last ⅓ avg 17.8%

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

0.27Best match rating · 9–1 · nuke, 19 Oct →
41%Best headshot accuracy · 8–8 · inferno, 9 Oct →
375msFastest reaction time · 5–9 · nuke, 29 Sept →
13–2Biggest win · mirage, 20 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
10–8In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 54% over 13infernoWeakest map · 28% over 25
MapGradePlayedRecordWin rateAvg rating
nukeB2913–1645%0.00
mirageB2613–1350%-0.01
infernoD257–1828%-0.00
dust2B137–654%-0.01
ancient—32–167%0.01
anubis—21–150%0.02
rush_001—10–10%-0.09
overpass—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (28% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,146Lifetime kills
1.03K/D · Top 50% of tracked players
1,220Matches
47.6%Match win rate · Top 50% of tracked players
45.3%Headshot % · Top 50% of tracked players
17.1%Shot accuracy · Top 25% of tracked players
3,259MVPs
378Hours (in match)
887Bombs planted
434Bombs defused

Most-used weapons

Lifetime map wins

1,540inferno
635dust2
491nuke
452lake
263vertigo
240train
35cbble
30office

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.

19.7%Headshot accuracy
34.5%Accuracy (enemy spotted)
34.2%Spray accuracy
84.5%Counter-strafing
8.6°Preaim
552msReaction time
64.5%T opening success
35.7%CT opening success
0.36Enemies flashed / flash
6.4%Flash assists
5.56HE damage / grenade
4.08Flashes / 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. 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 0.363 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.7237% — 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.

28% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–6-0.013%21 Oct →
nuke9–70.1216%21 Oct →
mirage8–13-0.0634%21 Oct →
dust213–90.0220%21 Oct →
nuke9–50.0412%21 Oct →
inferno12–12-0.0518%20 Oct →
mirage13–20.0040%20 Oct →
mirage13–60.0410%19 Oct →
nuke6–9-0.0622%19 Oct →
nuke9–20.1518%19 Oct →
nuke9–10.1213%19 Oct →
inferno8–8-0.017%19 Oct →
nuke5–9-0.0711%19 Oct →
nuke9–10.2727%19 Oct →
dust210–13-0.0128%18 Oct →
mirage13–60.0512%18 Oct →
mirage13–7-0.0013%18 Oct →
inferno3–130.0422%17 Oct →
rush_0015–8-0.0911%17 Oct →
nuke9–50.0418%17 Oct →
inferno9–70.0214%17 Oct →
dust211–130.0113%16 Oct →
nuke13–60.0221%16 Oct →
mirage9–130.0222%15 Oct →
mirage13–20.0423%15 Oct →
mirage12–12-0.0015%14 Oct →
ancient7–130.0429%14 Oct →
inferno9–40.0820%14 Oct →
mirage8–13-0.0313%13 Oct →
ancient13–20.0312%13 Oct →
nuke5–13-0.0311%13 Oct →
nuke8–8-0.1415%12 Oct →
inferno9–40.1925%12 Oct →
dust213–60.0512%12 Oct →
inferno9–10.1019%12 Oct →
nuke8–80.007%11 Oct →
dust212–12-0.1014%11 Oct →
mirage13–11-0.0522%11 Oct →
inferno9–3-0.0320%10 Oct →
nuke4–9-0.1413%10 Oct →
nuke9–00.1720%10 Oct →
inferno6–9-0.1211%10 Oct →
inferno9–7-0.0619%10 Oct →
inferno12–12-0.0130%9 Oct →
mirage13–100.0312%9 Oct →
inferno8–8-0.0041%9 Oct →
nuke2–9-0.115%9 Oct →
nuke5–9-0.0825%29 Sept →
inferno4–9-0.176%29 Sept →
mirage10–13-0.0710%24 Sept →
ancient13–4-0.0512%23 Sept →
dust211–4-0.0233%23 Sept →
dust213–9-0.0328%16 Sept →
mirage13–110.0524%16 Sept →
nuke6–13-0.0619%5 Sept →
mirage13–11-0.0326%5 Sept →
mirage9–130.0018%5 Sept →
inferno7–9-0.0329%5 Sept →
nuke13–90.0215%17 Feb →
dust213–110.0518%17 Feb →
mirage6–13-0.0013%12 Feb →
nuke2–13-0.0811%11 Feb →
mirage13–90.0316%11 Feb →
dust27–13-0.0520%11 Feb →
nuke10–13-0.0118%30 Jan →
mirage3–13-0.0713%30 Jan →
anubis13–70.0417%30 Jan →
mirage13–80.0312%23 Jan →
nuke11–13-0.0330%23 Jan →
dust21–13-0.0514%23 Jan →
anubis7–130.0016%23 Jan →
mirage13–10-0.0118%22 Jan →
inferno5–130.0728%22 Jan →
inferno4–9-0.0619%22 Jan →
nuke4–13-0.1319%10 Jan →
inferno6–13-0.0622%10 Jan →
nuke11–13-0.0115%9 Jan →
dust213–11-0.0414%9 Jan →
dust210–13-0.0510%8 Jan →
dust213–70.0411%7 Jan →
mirage9–130.0614%7 Jan →
nuke13–6-0.0121%7 Jan →
nuke11–13-0.0330%6 Jan →
nuke13–90.1327%5 Jan →
mirage13–110.0221%5 Jan →
inferno6–9-0.0525%10 Dec →
nuke13–100.0121%8 Dec →
inferno5–9-0.0718%4 Dec →
mirage9–130.0221%4 Dec →
nuke11–13-0.0412%4 Dec →
mirage12–12-0.0829%4 Dec →
mirage7–13-0.0715%3 Dec →
inferno11–130.0922%3 Dec →
mirage5–13-0.0522%2 Dec →
inferno9–130.0415%2 Dec →
overpass9–70.0419%1 Dec →
inferno6–9-0.0619%1 Dec →
inferno9–40.0517%1 Dec →
inferno11–130.0218%1 Dec →
inferno8–130.0115%1 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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