znk

znk — CS2 Stats

HM76561198176031611[U:1:215765883]Steam profile ↗✓ No bans

1,249Tracked matches41%Win rate2021Tracked since
3,355Hours in CS9Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating21,723Top 50% of 213,399 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#59965 of 259985 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 21,723 -1,971 18 Jul – 4 Nov · 24 days played
20,89624,300peak 24,30018 Jul4 Nov
24,500Peak Premier in tracked matches
1,373Highest Faceit ELO seen on CSDB
37Days played since 2026-07-12

Premier CS Rating

  • 2,577 below peak (24,300)
  • +249 over 30 days · steady
  • -1,347 over 90 days
  • Next: Red band at 25,000 — 3,277 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate41.0%46.9%49.3%8.3% short
Shot accuracy10.5%13.0%13.4%2.8% short
Kill/death ratio1.251.081.12above
Match win rate50.3%46.7%48.5%above

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

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

Share this profile

CSDB.GGznkPREMIER21,723 · Pink bandPEAK ELO1,373csdb.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

Aim74
Positioning48
Utility57

0–100 skill scores via Leetify.

Recent form

COLD46–47–7Last 10046%Win rateWLLLLLWLLW

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −1.5pp headshot accuracy · +4ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 525ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 507ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 505ms

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 (+2.5 against its own average).

Aim7.4
Utility5.7
Positioning4.8
Opening Duels0.5
Clutch1.8

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 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.4
Positioning4.8
Utility5.7
Mechanics6.1
Opening Duels1.8
Win Impact1.9

Composite 5.4/10 (Developing), 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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time523ms−40ms
first ⅓ avg 563ms → last ⅓ avg 523ms
Headshot accuracy15.5%+0.8%
first ⅓ avg 14.6% → last ⅓ avg 15.5%

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

0.18Best match rating · 13–3 · cache, 21 Oct →
38%Best headshot accuracy · 0–13 · dust2, 21 Aug →
391msFastest reaction time · 13–3 · cache, 21 Oct →
13–1Biggest win · mirage, 28 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–11In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 64% over 11trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2411–1346%0.00
mirageC188–1044%0.00
anubisB157–847%-0.01
cacheC146–843%0.02
infernoA117–464%0.03
ancientA95–456%-0.01
trainD51–420%-0.01
office—20–20%-0.03
vertigo—21–150%0.02

Across the last 100 tracked matches.

Lifetime stats

109,781Lifetime kills
1.25K/D · Top 25% of Pink band
5,865Matches
50.3%Match win rate · Top 25% of Pink band
41.0%Headshot %
10.5%Shot accuracy
12,619MVPs
2,118Hours (in match)
4,159Bombs planted
1,744Bombs defused

Most-used weapons

AK-4738,191
AWP13,730
SSG 081,864
MP91,776
FAMAS1,576

Lifetime map wins

8,978inferno
7,472dust2
2,800vertigo
2,776nuke
1,262train
755office
368cbble
273lake

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

Faceit stats

Combat

53Matches
72%Win rate
1.23Avg K/D
88.9ADR
42%Headshot %

Clutches & streaks

29%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis7100%1.4516.7
Mirage7100%1.5215.6
Dust2667%1.5716.8
Inferno650%1.5615.8
Ancient2100%1.0817.0
Cache1100%1.5012.0
Vertigo1100%2.0020.0

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.

15.3%Headshot accuracy
33.6%Accuracy (enemy spotted)
38.6%Spray accuracy
77.7%Counter-strafing
8.5°Preaim
522msReaction time
40.8%T opening success
33.5%CT opening success
0.64Enemies flashed / flash
5.5%Flash assists
10.82HE damage / grenade
9.22Flashes / 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

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

    CT opening duels 33.5015% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–80.0117%4 Nov →
dust210–13-0.0512%3 Nov →
mirage11–13-0.0215%2 Nov →
dust26–13-0.0415%2 Nov →
office8–13-0.0511%2 Nov →
ancient9–13-0.0122%22 Oct →
anubis13–11-0.0118%22 Oct →
anubis10–13-0.057%22 Oct →
cache10–13-0.035%22 Oct →
dust213–80.0417%22 Oct →
mirage13–6-0.0113%21 Oct →
mirage13–100.0313%21 Oct →
cache13–3-0.0117%21 Oct →
dust213–50.0111%21 Oct →
dust213–9-0.0515%21 Oct →
cache5–13-0.0321%21 Oct →
cache13–30.1818%21 Oct →
dust212–12-0.0121%19 Oct →
dust23–13-0.0315%19 Oct →
inferno13–70.0911%14 Oct →
dust213–80.0813%12 Oct →
dust25–13-0.0119%11 Oct →
mirage0–13-0.0827%11 Oct →
office9–13-0.0112%11 Oct →
train12–12-0.0413%8 Oct →
train8–13-0.0222%8 Oct →
train6–13-0.0316%7 Oct →
cache12–12-0.0618%1 Oct →
inferno0–100.0622%1 Oct →
cache2–13-0.0215%30 Sept →
anubis13–100.0211%30 Sept →
dust213–90.0516%28 Sept →
ancient10–13-0.0113%28 Sept →
mirage13–10.0311%28 Sept →
ancient13–30.0629%23 Sept →
mirage13–50.0614%23 Sept →
dust211–130.0012%23 Sept →
ancient9–10-0.0515%20 Sept →
dust213–9-0.0413%17 Sept →
vertigo7–13-0.0121%17 Sept →
mirage16–14-0.0213%16 Sept →
anubis11–13-0.0117%16 Sept →
anubis10–13-0.1012%14 Sept →
dust29–13-0.0215%9 Sept →
mirage12–12-0.0316%9 Sept →
anubis13–11-0.0218%9 Sept →
mirage13–110.0318%8 Sept →
dust213–7-0.0110%2 Sept →
mirage9–130.0110%2 Sept →
dust211–130.0316%30 Aug →
mirage7–13-0.0436%30 Aug →
dust23–30.0231%30 Aug →
dust211–130.0725%30 Aug →
inferno9–5-0.0326%26 Aug →
cache12–120.0017%26 Aug →
inferno10–130.0920%25 Aug →
ancient13–11-0.0010%21 Aug →
dust213–60.0328%21 Aug →
cache13–10.0615%21 Aug →
anubis13–70.0118%21 Aug →
mirage15–150.0517%21 Aug →
anubis8–130.0519%21 Aug →
inferno13–7-0.0112%21 Aug →
dust213–70.0514%21 Aug →
dust20–13-0.1038%21 Aug →
cache1–5-0.0325%21 Aug →
mirage10–40.0822%21 Aug →
train3–13-0.0421%14 Aug →
train13–100.0720%14 Aug →
inferno15–150.0413%11 Aug →
anubis7–130.0121%11 Aug →
mirage8–13-0.0812%11 Aug →
anubis13–80.0713%11 Aug →
dust23–130.018%10 Aug →
ancient4–13-0.0514%10 Aug →
mirage16–120.0620%10 Aug →
ancient13–6-0.0113%9 Aug →
inferno10–130.0414%4 Aug →
anubis9–13-0.0320%4 Aug →
ancient10–130.0217%2 Aug →
anubis11–13-0.017%2 Aug →
vertigo13–70.0513%30 Jul →
cache11–13-0.019%26 Jul →
inferno13–50.026%26 Jul →
anubis11–13-0.0416%26 Jul →
cache13–50.0715%26 Jul →
mirage6–13-0.0313%26 Jul →
ancient13–110.008%26 Jul →
mirage10–130.0115%26 Jul →
anubis13–90.0131%26 Jul →
inferno13–7-0.068%18 Jul →
inferno13–60.0520%18 Jul →
cache13–80.0817%18 Jul →
inferno13–2-0.016%18 Jul →
dust214–160.0118%18 Jul →
anubis13–8-0.0019%16 Jul →
cache13–60.1023%16 Jul →
cache11–13-0.0110%16 Jul →
dust213–50.049%16 Jul →
mirage2–13-0.0318%12 Jul →

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.