ENK1NKA

ENK1NKA — CS2 Stats

76561198263460125[U:1:303194397]Steam profile ↗✓ No bans

1,100Tracked matches50%Win rate2020Tracked since
2,749Hours in CS9Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
Premier CS Rating20,117Top 50% of 213,399 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#81278 of 260007 tracked
FaceitLevel 8 · 1,622 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+874Premier CS Rating · 19,243 → 20,117

Rating over time

Premier CS Rating: 20,117 +1,568 26 Jun – 5 Nov · 36 days played
16,74020,118peak 20,11826 Jun5 Nov
20,118Peak Premier in tracked matches
1,622Highest Faceit ELO seen on CSDB
43Days played since 2026-06-26

Faceit ELO

  • At peak — 1,622
  • Next: Level 9 at 1,751 — 129 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 1 below peak (20,118)
  • +1,737 over 30 days · improving
  • +916 over 90 days
  • Next: Red band at 25,000 — 4,883 to go
  • Reached: Pink band · Purple band · Blue band · 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 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 rate37.9%46.8%48.2%10.4% short
Shot accuracy14.7%13.0%13.2%above
Kill/death ratio0.971.061.070.10 short
Match win rate43.0%46.3%46.9%3.9% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGENK1NKAFACEITLevel 8 · 1,622 ELOSTANDINGTop 31.2% of rankedPREMIER20,117 · Pink bandPEAK ELO1,622csdb.gg/stats

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Performance scores

Aim67
Positioning36
Utility66

0–100 skill scores via Leetify.

Recent form

HOT55–43–2Last 10055%Win rateWWWWWLLLWW

Last 10 vs previous 10: +40pp win rate · +0.09 avg rating · +1.6pp headshot accuracy · +40ms reaction

Win rate up 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

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 603ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 12%
  • Avg reaction 599ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 579ms

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 (+3.6 against its own average).

Aim6.7
Utility6.6
Positioning3.6
Opening Duels0.0
Clutch2.0

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

ZywOo

Plays most like ZywOo 76% 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 →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 564ms 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

Aim6.7
Positioning3.6
Utility6.6
Mechanics4.7
Opening Duels0.2
Win Impact5.0

Composite 5.0/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time559ms−52ms
first ⅓ avg 611ms → last ⅓ avg 559ms
Headshot accuracy10.8%−6.9%
first ⅓ avg 17.7% → last ⅓ avg 10.8%

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

0.33Best match rating · 13–1 · dust2, 31 Oct →
41%Best headshot accuracy · 13–9 · dust2, 21 Aug →
359msFastest reaction time · 13–8 · inferno, 22 Sept →
13–1Biggest win · dust2, 31 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
5–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 78% over 9ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2313–1057%0.04
nukeA2011–955%0.01
infernoA1810–856%0.01
mirageC167–944%0.00
ancientC125–742%0.04
cacheS97–278%0.02
anubis—22–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,586Lifetime kills
0.97K/D
3,174Matches
43.0%Match win rate
37.9%Headshot %
14.7%Shot accuracy · Top 50% of Level 8 players
7,159MVPs
1,461Hours (in match)
4,457Bombs planted
879Bombs defused

Most-used weapons

AK-4718,657
AWP11,714
P2502,104
MAC-101,439
FAMAS1,137

Lifetime map wins

8,462inferno
8,362dust2
3,885nuke
1,637train
1,008cbble
659vertigo
16italy
7ar_shoots

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

Faceit stats

Combat

486Matches
52%Win rate
1.01Avg K/D
80.4ADR
35%Headshot %

Clutches & streaks

30%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust24058%1.1417.1
Mirage3936%0.9215.4
Inferno3459%1.0113.9
Ancient3057%1.1715.7
Nuke2941%1.0515.0
Anubis1759%0.8313.4
Train333%1.0316.7
Overpass333%0.6414.7

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.

11.0%Headshot accuracy
39.4%Accuracy (enemy spotted)
43.1%Spray accuracy
71.0%Counter-strafing
10.1°Preaim
564msReaction time
27.5%T opening success
31.7%CT opening success
0.48Enemies flashed / flash
6.5%Flash assists
12.18HE damage / grenade
11.09Flashes / 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 10.9652% — below the 15% 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 0.4839 — 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 27.4744% — below the 40% mark we flag

Spend your practice time on Ancient

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0210%5 Nov →
mirage13–80.0017%5 Nov →
nuke13–50.0911%5 Nov →
dust213–70.0532%5 Nov →
anubis7–20.059%5 Nov →
dust29–13-0.015%5 Nov →
mirage7–130.0213%31 Oct →
ancient10–130.056%31 Oct →
dust213–10.3311%31 Oct →
nuke13–90.0711%31 Oct →
inferno13–10-0.0017%30 Oct →
mirage13–30.028%22 Oct →
inferno5–10-0.0014%19 Oct →
dust25–130.013%15 Oct →
nuke11–130.037%3 Oct →
nuke6–13-0.0514%3 Oct →
anubis13–110.007%2 Oct →
inferno8–13-0.1011%28 Sept →
dust23–13-0.0621%28 Sept →
nuke3–13-0.137%28 Sept →
mirage8–13-0.047%28 Sept →
nuke9–13-0.0317%28 Sept →
cache13–80.1012%28 Sept →
mirage13–8-0.038%28 Sept →
nuke13–11-0.029%28 Sept →
mirage13–11-0.026%28 Sept →
dust213–50.0910%28 Sept →
ancient2–70.037%28 Sept →
mirage11–130.0011%28 Sept →
cache5–130.008%28 Sept →
dust213–10-0.019%28 Sept →
cache13–11-0.0413%28 Sept →
ancient13–30.057%28 Sept →
dust215–150.0415%28 Sept →
cache13–70.0914%28 Sept →
nuke13–90.0310%28 Sept →
inferno2–130.0116%28 Sept →
inferno13–80.0610%28 Sept →
cache16–13-0.0311%26 Sept →
nuke13–20.063%26 Sept →
cache9–13-0.047%26 Sept →
dust216–120.0416%25 Sept →
ancient15–150.044%25 Sept →
cache13–80.027%24 Sept →
inferno8–130.0010%24 Sept →
dust213–100.039%24 Sept →
mirage8–130.059%23 Sept →
nuke13–7-0.0514%23 Sept →
mirage2–13-0.085%23 Sept →
dust213–90.0617%23 Sept →
dust27–13-0.059%23 Sept →
mirage13–90.0411%23 Sept →
cache13–90.107%23 Sept →
inferno13–8-0.005%22 Sept →
inferno13–70.0212%22 Sept →
inferno13–70.0513%22 Sept →
dust28–130.0315%18 Sept →
ancient13–10.0918%18 Sept →
ancient1–13-0.0621%18 Sept →
mirage6–130.0121%16 Sept →
dust213–50.0119%16 Sept →
ancient13–90.0610%11 Sept →
inferno8–13-0.0629%11 Sept →
inferno11–130.0316%10 Sept →
dust213–90.0319%10 Sept →
inferno6–13-0.0310%9 Sept →
inferno9–130.0318%8 Sept →
nuke13–110.0310%3 Sept →
dust24–11-0.0318%3 Sept →
inferno13–80.0016%2 Sept →
nuke13–70.0121%2 Sept →
ancient9–130.0710%1 Sept →
nuke12–160.0112%31 Aug →
dust210–13-0.0427%28 Aug →
mirage9–130.0014%24 Aug →
nuke1–13-0.0116%24 Aug →
dust213–90.0341%21 Aug →
inferno13–40.0712%17 Aug →
mirage8–13-0.0327%14 Aug →
ancient5–130.039%13 Aug →
mirage13–30.0212%13 Aug →
cache13–7-0.0424%11 Aug →
dust27–10.1734%6 Aug →
inferno16–120.0218%1 Aug →
dust27–130.0619%1 Aug →
mirage13–80.0711%1 Aug →
ancient9–130.016%30 Jul →
dust210–130.0218%28 Jul →
nuke13–10.106%23 Jul →
nuke10–130.0016%23 Jul →
ancient13–20.0418%23 Jul →
ancient13–100.0320%16 Jul →
inferno13–80.0427%15 Jul →
dust213–10.0924%15 Jul →
nuke11–130.0317%15 Jul →
mirage4–130.0018%14 Jul →
nuke13–90.0120%10 Jul →
inferno13–100.0519%3 Jul →
nuke14–16-0.0519%29 Jun →
dust213–60.007%26 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 →

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