KMZcik (from LAN)

KMZcik (from LAN) — CS2 Stats

DE76561198048506947[U:1:88241219]Steam profile ↗✓ No bans

1,351Tracked matches22%Win rate2020Tracked since
1,094Hours in CS
CSDB Rating6.2 SolidSupport
Premier CS Rating20,594Top 50% of 211,827 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#74830 of 258865 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 20,594 → 20,594
+9Tracked matches · now 1,351
−14.8ppWin rate · 37.0% → 22.2%

Rating over time

Premier CS Rating: 20,594 +595 9 Aug – 24 Sept · 12 days played
19,99920,603peak 20,6039 Aug24 Sept
20,959Peak Premier in tracked matches
34Days played since 2026-06-05

Premier CS Rating

  • 9 below peak (20,603)
  • +227 over 30 days · steady
  • Next: Red band at 25,000 — 4,406 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-12
  • Purple band first seen 2026-09-12

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 Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate38.7%46.8%48.2%9.6% short
Shot accuracy10.3%13.0%13.2%2.9% short
Kill/death ratio1.261.061.07above
Match win rate47.6%46.3%46.9%meets

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKMZcik (from LAN)FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER20,594 · Pink bandcsdb.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

Aim81
Positioning54
Utility68

0–100 skill scores via Leetify.

Recent form

COLD45–46–9Last 10045%Win rateLTLLLLLLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +5.5pp headshot accuracy · −58ms reaction

Win rate down 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

  • 0–4–1 · 0% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 530ms

Last 10

  • 0–9–1 · 0% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 530ms

Last 20

  • 2–16–2 · 10% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • 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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim8.1
Utility6.8
Positioning5.4
Opening Duels1.8
Clutch4.2

Excellent counter-strafing

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 85% playstyle similarity

Most alike: utility contribution, 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

Preaim. Mechanical aim is strong but the crosshair sits 11.9° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 558ms 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

Aim8.1
Positioning5.4
Utility6.8
Mechanics8.6
Opening Duels2.4
Win Impact0.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time553ms−53ms
first ⅓ avg 605ms → last ⅓ avg 553ms
Headshot accuracy12.5%−0.0%
first ⅓ avg 12.5% → last ⅓ avg 12.5%

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

0.13Best match rating · 13–10 · anubis, 12 Sept →
40%Best headshot accuracy · 5–13 · inferno, 23 Sept →
414msFastest reaction time · 5–13 · anubis, 26 Aug →
13–1Biggest win · inferno, 9 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–11In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 58% over 12boulderWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC3213–1941%0.02
cacheB147–750%0.00
anubisA127–558%0.01
fachwerkB115–645%0.03
ancientB84–450%0.04
mirageC83–538%-0.01
boulderD62–433%0.04
vertigo—31–233%-0.05
dust2—20–20%-0.04
train—22–0100%-0.00
shelter—21–150%0.01

Across the last 100 tracked matches.

Lifetime stats

53,862Lifetime kills
1.26K/D · Top 25% of Level 8 players
2,345Matches
47.6%Match win rate · Top 50% of Level 8 players
38.7%Headshot %
10.3%Shot accuracy
5,423MVPs
1,094Hours (in match)
3,289Bombs planted
733Bombs defused

Most-used weapons

Lifetime map wins

10,858inferno
1,119vertigo
935train
857nuke
843dust2
151cbble
24office
16stmarc

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

Faceit stats

Combat

67Matches
69%Win rate
1.35Avg K/D
86.6ADR
42%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2181%1.5017.1
Anubis1587%1.3317.4
Ancient1233%1.3917.3
Mirage1164%1.2518.1
Nuke2100%1.2619.5
Vertigo250%1.3018.5
Train1100%1.0020.0
Dust210%0.674.0

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.

12.6%Headshot accuracy
42.8%Accuracy (enemy spotted)
44.6%Spray accuracy
88.6%Counter-strafing
11.9°Preaim
558msReaction time
45.9%T opening success
33.7%CT opening success
0.64Enemies flashed / flash
6.2%Flash assists
10.55HE damage / grenade
15.57Flashes / 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 12.6269% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 33.6608% — below the 40% mark we flag

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.

38% 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
inferno10–130.0515%3 Oct →
inferno12–12-0.0015%3 Oct →
inferno10–130.1016%3 Oct →
anubis6–13-0.029%3 Oct →
vertigo1–13-0.054%3 Oct →
dust26–13-0.0111%3 Oct →
ancient1–13-0.0312%3 Oct →
fachwerk12–70.1114%24 Sept →
fachwerk8–130.0315%24 Sept →
inferno5–130.0140%23 Sept →
inferno4–11-0.066%23 Sept →
inferno9–130.000%23 Sept →
inferno4–130.0213%23 Sept →
inferno6–130.010%23 Sept →
boulder7–130.0330%13 Sept →
fachwerk13–70.070%13 Sept →
fachwerk11–130.0615%13 Sept →
boulder12–12-0.070%13 Sept →
anubis13–100.1321%12 Sept →
fachwerk8–130.0412%12 Sept →
ancient13–60.0810%12 Sept →
inferno10–130.0313%12 Sept →
cache10–130.0119%12 Sept →
inferno13–40.0017%9 Sept →
mirage9–13-0.085%5 Sept →
ancient12–120.1217%4 Sept →
cache10–130.0513%4 Sept →
anubis13–90.0015%4 Sept →
inferno11–130.0318%4 Sept →
cache13–11-0.034%3 Sept →
inferno13–70.0515%3 Sept →
inferno13–80.047%3 Sept →
inferno13–90.0713%2 Sept →
mirage7–130.0220%2 Sept →
ancient11–130.0418%2 Sept →
anubis5–130.0217%2 Sept →
boulder11–130.0024%2 Sept →
inferno12–12-0.029%28 Aug →
ancient13–100.0720%27 Aug →
cache12–12-0.0516%27 Aug →
fachwerk7–13-0.0015%27 Aug →
train13–3-0.0327%27 Aug →
fachwerk13–110.057%26 Aug →
cache13–90.1113%26 Aug →
mirage12–12-0.0119%26 Aug →
ancient13–90.0418%26 Aug →
anubis5–13-0.0316%26 Aug →
inferno15–150.0614%25 Aug →
mirage14–16-0.0115%25 Aug →
cache3–130.0225%24 Aug →
inferno13–100.0415%24 Aug →
inferno7–13-0.0513%24 Aug →
anubis11–130.0312%24 Aug →
cache14–16-0.0414%23 Aug →
mirage13–70.028%23 Aug →
inferno13–9-0.0119%23 Aug →
cache13–100.027%23 Aug →
ancient11–13-0.0118%23 Aug →
cache9–13-0.053%23 Aug →
anubis13–80.076%22 Aug →
mirage11–13-0.0118%22 Aug →
fachwerk13–90.0118%22 Aug →
vertigo13–9-0.058%22 Aug →
anubis11–130.0213%22 Aug →
inferno13–80.1018%21 Aug →
boulder10–130.0418%18 Aug →
cache16–130.048%16 Aug →
mirage13–9-0.046%9 Aug →
inferno13–10.0313%9 Aug →
cache13–6-0.065%9 Aug →
anubis13–10-0.015%9 Aug →
inferno9–130.0313%7 Aug →
anubis13–10-0.069%7 Aug →
inferno8–13-0.0021%2 Aug →
ancient13–8-0.025%2 Aug →
fachwerk13–10-0.0115%31 Jul →
fachwerk10–13-0.088%31 Jul →
fachwerk13–60.0423%30 Jul →
anubis13–8-0.028%30 Jul →
inferno12–120.0211%28 Jul →
inferno13–10-0.029%28 Jul →
shelter13–90.029%27 Jul →
inferno13–80.0218%27 Jul →
boulder13–70.1225%27 Jul →
anubis13–70.0313%25 Jul →
cache10–13-0.0716%25 Jul →
inferno13–70.0411%25 Jul →
mirage13–90.0114%24 Jul →
inferno9–13-0.0111%23 Jul →
inferno13–11-0.047%23 Jul →
vertigo5–13-0.048%23 Jul →
train13–80.0210%23 Jul →
boulder13–100.080%13 Jul →
shelter12–12-0.0116%13 Jul →
dust27–13-0.0623%6 Jul →
inferno11–130.0517%6 Jun →
cache10–100.0318%6 Jun →
inferno13–6-0.0117%5 Jun →
inferno5–130.1119%5 Jun →
cache13–60.0913%5 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.