zakkw ❥ミレナ

zakkw ❥ミレナ — CS2 Stats

LV76561198850172001[U:1:889906273]Steam profile ↗✓ No bans

1,096Tracked matches53%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
CSDB Leaderboard#57632 of 259970 tracked
FaceitLevel 8 · 2,006 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,906 +2,259 30 Jun – 2 May · 38 days played
17,23923,472peak 23,47230 Jun2 May
23,536Peak Premier in tracked matches
2,006Highest Faceit ELO seen on CSDB
83Days played since 2025-06-30

Faceit ELO

  • At peak — 2,006
  • Next: 2,500 ELO at 2,500 — 494 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGzakkw ❥ミレナFACEITLevel 8 · 2,006 ELOSTANDINGTop 31.2% of rankedPEAK ELO2,006csdb.gg/stats

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Performance scores

Aim66
Positioning56
Utility66

0–100 skill scores via Leetify.

Recent form

COLD52–46–2Last 10052%Win rateLLLLLLLWLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +0.2pp headshot accuracy · −114ms reaction

Win rate down 50pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 601ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 620ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 677ms

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 (+1.7 against its own average).

Aim6.6
Utility6.6
Positioning5.6
Opening Duels3.9
Clutch3.6

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 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 693ms 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

Aim6.6
Positioning5.6
Utility6.6
Mechanics8.4
Opening Duels4.5
Win Impact6.1

Composite 6.4/10 (Solid), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time689ms+24ms
first ⅓ avg 665ms → last ⅓ avg 689ms
Headshot accuracy22.2%−1.6%
first ⅓ avg 23.7% → last ⅓ avg 22.2%

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

0.12Best match rating · 5–13 · dust2, 13 Oct →
40%Best headshot accuracy · 3–13 · train, 25 Sept →
453msFastest reaction time · 7–13 · ancient, 7 Oct →
13–2Biggest win · mirage, 1 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L7Current streak
9–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 68% over 28infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS2819–968%0.02
dust2A1911–858%0.02
ancientD186–1233%-0.01
overpassA106–460%-0.02
anubisS96–367%0.02
infernoD82–625%-0.01
nuke—41–325%-0.00
cache—20–20%-0.06
train—21–150%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,530Matches
50%Win rate
1.06Avg K/D
78.8ADR
54%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient27950%1.0416.2
Mirage26949%1.0115.8
Anubis26154%1.0615.7
Dust222446%0.9914.7
Nuke10749%1.0015.2
Inferno10045%1.0915.9
Train3863%0.9915.5
Overpass2945%1.0916.3

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.

21.6%Headshot accuracy
32.5%Accuracy (enemy spotted)
33.2%Spray accuracy
87.8%Counter-strafing
9.3°Preaim
693msReaction time
44.3%T opening success
52.0%CT opening success
0.63Enemies flashed / flash
11.8%Flash assists
7.91HE damage / grenade
11.34Flashes / match

Recommended for you

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0020%2 Nov →
ancient10–130.0234%25 Oct →
mirage11–13-0.0330%23 Oct →
mirage11–13-0.0125%20 Oct →
ancient7–130.0023%7 Oct →
cache2–13-0.139%1 Oct →
ancient4–13-0.038%20 Sept →
dust213–40.0621%20 Sept →
ancient20–22-0.0624%27 Jun →
dust23–13-0.0810%27 Jun →
anubis13–90.0223%27 Jun →
mirage13–9-0.067%26 Jun →
nuke9–13-0.0216%12 Jun →
dust213–80.0917%9 Jun →
mirage13–5-0.0221%6 Jun →
mirage11–13-0.0135%15 May →
ancient11–13-0.0119%8 May →
ancient2–13-0.0332%2 May →
mirage22–18-0.0514%30 Apr →
dust213–50.0519%27 Apr →
mirage13–60.0213%25 Apr →
mirage13–40.0230%24 Apr →
overpass13–8-0.0317%19 Apr →
mirage13–70.0527%18 Apr →
anubis13–40.0626%16 Apr →
ancient8–130.0235%12 Apr →
anubis13–8-0.0228%12 Apr →
mirage13–100.0214%10 Apr →
dust213–30.0224%5 Apr →
dust213–60.0322%4 Apr →
ancient9–13-0.0038%27 Mar →
anubis16–14-0.0031%23 Mar →
mirage16–140.0621%22 Mar →
ancient11–130.0129%20 Mar →
anubis0–9-0.0228%19 Mar →
ancient13–11-0.0823%17 Mar →
dust215–150.0526%16 Mar →
overpass13–110.0526%12 Mar →
ancient13–5-0.0128%8 Mar →
anubis13–40.0121%8 Mar →
inferno13–60.0135%6 Mar →
inferno11–13-0.0023%2 Mar →
mirage11–130.0320%2 Mar →
dust213–8-0.0131%1 Mar →
mirage13–20.0615%1 Mar →
anubis13–110.0520%25 Feb →
mirage13–40.0922%23 Feb →
nuke20–22-0.0133%20 Feb →
ancient13–60.0026%20 Feb →
mirage13–6-0.0122%19 Feb →
dust210–13-0.0216%18 Feb →
dust213–9-0.0511%10 Feb →
inferno9–13-0.049%28 Jan →
anubis7–130.0728%28 Jan →
ancient13–11-0.0118%17 Jan →
anubis11–140.0120%15 Jan →
dust22–50.0413%13 Jan →
overpass13–10-0.0427%8 Jan →
mirage16–12-0.0026%4 Jan →
ancient13–70.0624%3 Jan →
mirage13–20.0914%31 Dec →
dust213–100.0419%31 Dec →
ancient3–13-0.0225%31 Dec →
nuke13–11-0.0125%29 Dec →
overpass12–16-0.0315%24 Dec →
overpass0–120.000%18 Dec →
inferno13–110.0228%14 Dec →
mirage13–70.0724%12 Dec →
mirage6–130.0123%10 Dec →
mirage13–100.0933%9 Dec →
ancient11–130.0020%9 Dec →
train16–130.0219%8 Dec →
dust27–130.0319%7 Dec →
mirage12–16-0.0118%4 Dec →
mirage13–100.0430%3 Dec →
inferno8–13-0.0430%27 Nov →
ancient9–13-0.0322%27 Nov →
nuke11–130.0337%26 Nov →
dust22–13-0.0725%23 Nov →
mirage2–130.0119%23 Nov →
mirage13–30.0121%19 Nov →
ancient13–60.0122%18 Nov →
dust213–8-0.0130%11 Nov →
overpass15–150.0118%2 Nov →
dust27–13-0.0228%1 Nov →
mirage10–130.0116%29 Oct →
mirage13–30.0223%24 Oct →
inferno9–13-0.0018%20 Oct →
dust25–130.1227%13 Oct →
dust213–90.0935%5 Oct →
mirage13–10-0.0328%5 Oct →
dust216–13-0.0223%26 Sept →
overpass13–11-0.0222%26 Sept →
overpass0–90.000%25 Sept →
train3–130.0340%25 Sept →
inferno3–13-0.0721%20 Aug →
overpass13–6-0.1016%19 Aug →
mirage6–13-0.0126%12 Aug →
overpass13–90.0011%16 Jul →
inferno10–130.0440%30 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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