KMZcik (from warframe)

KMZcik (from warframe) — CS2 Stats

DJ76561198257353728[U:1:297088000]Steam profile ↗✓ No bans

935Tracked matches41%Win rate2022Tracked since
CSDB Rating3.0 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 935
+3.7ppWin rate · 37.0% → 40.7%

Rating over time

39Days played since 2026-02-12

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGKMZcik (from warframe)FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim29
Positioning25
Utility41

0–100 skill scores via Leetify.

Recent form

COLD35–51–14Last 10035%Win rateWLLLLLLTLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +5.8pp headshot accuracy · +41ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 27%
  • Avg reaction 720ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 706ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 685ms

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 (+2.4 against its own average).

Aim2.9
Utility4.1
Positioning2.5
Opening Duels0.0
Clutch0.0

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

NiKo

Plays most like NiKo 75% 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. 687ms 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

Aim2.9
Positioning2.5
Utility4.1
Mechanics5.3
Opening Duels0.0
Win Impact1.9

Composite 3.0/10 (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-0.06−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time678ms+2ms
first ⅓ avg 676ms → last ⅓ avg 678ms
Headshot accuracy15.3%+3.0%
first ⅓ avg 12.2% → last ⅓ avg 15.3%

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 · 10–1 · mirage, 30 Aug →
100%Best headshot accuracy · 12–7 · fachwerk, 24 Sept →
484msFastest reaction time · 13–10 · ancient, 27 Aug →
13–3Biggest win · train, 27 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 60% over 5boulderWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheC3112–1939%-0.04
infernoC218–1338%-0.05
fachwerkC156–940%-0.04
mirageD92–722%-0.04
boulderD61–517%-0.06
poseidonD61–517%-0.06
ancientA53–260%-0.04
anubis—21–150%-0.06
train—21–150%-0.02
eldorado—10–10%-0.14
debris—10–10%-0.03
overpass—10–10%-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

3Matches
67%Win rate
0.74Avg K/D
53.8ADR
28%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient250%0.7917.0
Inferno1100%0.647.0

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.

14.9%Headshot accuracy
35.8%Accuracy (enemy spotted)
34.4%Spray accuracy
74.0%Counter-strafing
16.8°Preaim
687msReaction time
24.6%T opening success
26.3%CT opening success
0.34Enemies flashed / flash
5.2%Flash assists
7.30HE damage / grenade
7.77Flashes / 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 16.8396° — 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 14.9112% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3447 — below the 0.5 mark we flag

    Grenade Lineups →
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
fachwerk13–9-0.020%28 Sept →
fachwerk12–7-0.04100%24 Sept →
fachwerk8–13-0.050%24 Sept →
inferno4–11-0.070%23 Sept →
inferno9–13-0.0733%23 Sept →
inferno6–13-0.0911%23 Sept →
fachwerk9–13-0.1111%22 Sept →
fachwerk12–12-0.0433%22 Sept →
boulder3–13-0.000%16 Sept →
fachwerk5–10.030%16 Sept →
fachwerk9–13-0.040%15 Sept →
fachwerk13–11-0.108%14 Sept →
boulder9–13-0.100%14 Sept →
boulder13–9-0.080%14 Sept →
fachwerk11–13-0.0710%13 Sept →
boulder12–12-0.0643%13 Sept →
anubis13–10-0.0929%12 Sept →
fachwerk8–13-0.0916%12 Sept →
ancient13–6-0.084%12 Sept →
inferno10–130.0221%12 Sept →
cache10–13-0.0614%12 Sept →
inferno13–4-0.0417%9 Sept →
mirage9–13-0.0317%5 Sept →
ancient12–12-0.0310%4 Sept →
cache3–13-0.1011%4 Sept →
inferno2–13-0.0918%4 Sept →
cache13–11-0.0914%3 Sept →
inferno13–7-0.066%3 Sept →
inferno13–8-0.0520%3 Sept →
inferno13–9-0.0311%2 Sept →
mirage7–13-0.0522%2 Sept →
ancient11–13-0.109%2 Sept →
anubis5–13-0.0317%2 Sept →
boulder11–13-0.058%2 Sept →
cache13–9-0.0415%2 Sept →
inferno4–13-0.0914%2 Sept →
fachwerk13–7-0.037%30 Aug →
inferno13–9-0.0614%30 Aug →
mirage10–10.0918%30 Aug →
mirage12–12-0.078%30 Aug →
boulder5–13-0.0724%30 Aug →
inferno12–12-0.0612%28 Aug →
ancient13–100.0112%27 Aug →
cache12–12-0.0015%27 Aug →
fachwerk7–13-0.057%27 Aug →
train13–30.029%27 Aug →
fachwerk13–11-0.0318%26 Aug →
cache13–9-0.0212%26 Aug →
mirage12–12-0.087%26 Aug →
cache3–13-0.110%24 Aug →
fachwerk13–100.0213%31 Jul →
fachwerk10–13-0.0015%31 Jul →
eldorado6–9-0.143%10 Jul →
debris8–8-0.0312%10 Jul →
cache10–13-0.065%8 Jun →
inferno12–12-0.039%8 Jun →
inferno11–13-0.078%6 Jun →
cache10–10-0.080%6 Jun →
inferno9–13-0.0611%3 Jun →
cache5–13-0.057%3 Jun →
inferno13–11-0.065%2 Jun →
cache13–80.048%2 Jun →
inferno8–13-0.0914%2 Jun →
poseidon8–8-0.0420%2 Jun →
poseidon7–9-0.1716%2 Jun →
cache6–13-0.1113%1 Jun →
cache8–13-0.077%1 Jun →
cache5–13-0.1213%1 Jun →
cache10–13-0.0120%1 Jun →
cache13–6-0.0414%1 Jun →
cache13–80.0414%30 May →
cache2–13-0.0528%30 May →
cache13–60.024%30 May →
cache13–11-0.0211%26 May →
cache10–13-0.0614%26 May →
cache13–50.0310%26 May →
inferno12–120.0110%26 May →
inferno13–7-0.0621%25 May →
cache4–13-0.048%25 May →
inferno13–10-0.079%24 May →
cache7–13-0.0714%24 May →
cache2–13-0.033%24 May →
cache1–13-0.0617%24 May →
cache13–10-0.0012%21 May →
cache4–13-0.0017%21 May →
cache12–12-0.0512%21 May →
cache13–7-0.0310%21 May →
cache7–13-0.130%29 Apr →
mirage2–13-0.108%9 Apr →
inferno8–13-0.057%9 Apr →
train10–13-0.0616%9 Apr →
mirage2–13-0.0711%19 Feb →
mirage13–16-0.036%18 Feb →
ancient13–7-0.034%15 Feb →
poseidon8–8-0.0824%14 Feb →
poseidon9–30.0417%14 Feb →
poseidon4–9-0.0422%13 Feb →
poseidon8–8-0.0410%13 Feb →
overpass5–13-0.077%13 Feb →
mirage13–11-0.0613%12 Feb →

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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