Zmeyr

Zmeyr — CS2 Stats

UA76561199202631138[U:1:1242365410]Steam profile ↗✓ No bans

76Tracked matches50%Win rate2026Tracked since
96Hours in CS10Hrs last 2 wks
CSDB Rating3.2 LearningPositional Player
Premier CS Rating6,594Light Blue band · top ~71.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 13 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 6,594 +699 6 Aug14 Sept · 19 days played
5,7719,736peak 9,7366 Aug14 Sept
9,736Peak Premier in tracked matches
36Days played since 2026-06-13

Premier CS Rating

  • 3,142 below peak (9,736)
  • -1,651 over 30 days · declining
  • Next: Blue band at 10,000 3,406 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,059), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate44.2%39.9%41.9%above
Shot accuracy0.0%6.8%9.6%9.6% short
Kill/death ratio0.860.910.980.12 short
Match win rate53.6%42.3%43.8%above

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZmeyrPREMIER6,594 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning43
Utility14

0–100 skill scores via Leetify.

Recent form

COLD3936Last 7552%Win rateLWLLLLWLLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −4.9pp headshot accuracy · +58ms 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

  • 14 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 19%
  • Avg reaction 647ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 734ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 705ms

Newest first, from the last 75 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+2.6 against its own average).

Aim3.7
Utility1.4
Positioning4.3
Opening Duels1.2
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

iM

Plays most like iM 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 720ms 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

Aim3.7
Positioning4.3
Utility1.4
Mechanics5.0
Opening Duels0.8
Win Impact5.0

Composite 3.2/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time704ms−28ms
first ⅓ avg 732ms → last ⅓ avg 704ms
Headshot accuracy24.0%+7.9%
first ⅓ avg 16.0% → last ⅓ avg 24.0%

Rolling 5-match average across the last 75 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.12Best match rating · 13–6 · inferno, 3 Aug
67%Best headshot accuracy · 0–10 · nuke, 4 Sept
469msFastest reaction time · 0–10 · nuke, 4 Sept
13–0Biggest win · mirage, 6 Aug

Across the last 75 tracked matches.

Highlights

7Longest win streak
23In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 59% over 27infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA27161159%-0.02
dust2B26121446%-0.02
nukeA74357%-0.01
infernoC73443%-0.02
vertigo32167%0.04
anubis2020%0.01
ancient110100%-0.07
warden110100%-0.07
cache1010%-0.10

Across the last 75 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

1,498Lifetime kills
0.86K/D
110Matches
53.6%Match win rate · Top 5% of Light Blue band
44.2%Headshot % · Top 50% of Light Blue band
0.0%Shot accuracy
213MVPs
38Hours (in match)
114Bombs planted
14Bombs defused

Most-used weapons

Lifetime map wins

373dust2
85vertigo
69nuke
60inferno

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

Faceit stats

Combat

1Matches
0%Win rate
0.71Avg K/D
69.3ADR
30%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

22.8%Headshot accuracy
31.2%Accuracy (enemy spotted)
22.4%Spray accuracy
72.3%Counter-strafing
11.2°Preaim
720msReaction time
34.6%T opening success
31.6%CT opening success
0.33Enemies flashed / flash
3.5%Flash assists
5.21HE damage / grenade
1.08Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 719.8234ms — above the 700ms mark we flag

    Aim Training
  2. 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 0.3309 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 34.5661% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0422%14 Sept
mirage13–5-0.0710%12 Sept
dust210–13-0.0524%10 Sept
dust24–13-0.0625%7 Sept
nuke11–13-0.0715%6 Sept
mirage5–11-0.0323%5 Sept
nuke13–40.0940%5 Sept
mirage5–13-0.0523%5 Sept
dust28–13-0.0921%5 Sept
inferno8–50.0217%5 Sept
mirage13–110.0517%4 Sept
inferno5–13-0.0721%4 Sept
nuke0–10-0.0567%4 Sept
mirage13–7-0.0322%25 Aug
mirage10–130.0114%23 Aug
mirage6–13-0.0020%23 Aug
dust27–13-0.0138%22 Aug
mirage6–13-0.0236%22 Aug
mirage13–60.0115%21 Aug
nuke13–9-0.0521%21 Aug
dust213–7-0.0720%19 Aug
mirage13–10-0.0117%15 Aug
mirage13–6-0.0236%13 Aug
dust213–10-0.0023%13 Aug
nuke5–13-0.0713%13 Aug
dust213–4-0.0724%13 Aug
dust213–50.0518%11 Aug
nuke13–10-0.0117%10 Aug
dust24–13-0.0418%9 Aug
dust213–110.0432%8 Aug
dust213–30.0047%8 Aug
mirage1–13-0.0429%8 Aug
mirage5–13-0.0822%7 Aug
anubis3–12-0.007%6 Aug
dust213–9-0.1013%6 Aug
dust23–13-0.0126%6 Aug
mirage13–00.0127%6 Aug
mirage13–50.0425%6 Aug
mirage13–30.0214%6 Aug
dust213–40.0133%5 Aug
mirage13–100.0230%5 Aug
inferno13–7-0.0519%4 Aug
dust213–2-0.0210%4 Aug
inferno2–13-0.0315%4 Aug
ancient13–2-0.0713%3 Aug
inferno13–60.1222%3 Aug
dust213–50.0310%3 Aug
dust29–13-0.0221%2 Aug
dust20–13-0.0017%2 Aug
inferno0–13-0.0714%2 Aug
nuke13–40.0822%2 Aug
dust20–80.0312%2 Aug
mirage13–40.0426%2 Aug
dust210–130.0520%2 Aug
mirage11–13-0.0310%2 Aug
mirage1–6-0.026%1 Aug
vertigo13–90.0526%1 Aug
mirage2–13-0.088%1 Aug
dust213–30.0327%1 Aug
mirage13–4-0.0416%15 Jul
dust25–13-0.098%12 Jul
mirage13–3-0.0511%12 Jul
vertigo13–10.0925%11 Jul
mirage13–9-0.0535%11 Jul
mirage13–4-0.0522%8 Jul
dust22–7-0.0127%8 Jul
warden13–6-0.0719%7 Jul
dust24–13-0.110%6 Jul
mirage11–13-0.0616%6 Jul
anubis8–130.0316%5 Jul
inferno6–9-0.0516%5 Jul
cache6–13-0.105%2 Jul
dust213–7-0.047%26 Jun
mirage13–20.0311%20 Jun
vertigo4–13-0.019%13 Jun

Match data via Leetify.

Recent teammates

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