ZLASK

ZLASK — CS2 Stats

NO76561197961246585[U:1:980857]Steam profile ↗✓ No bans

1,430Tracked matches31%Win rate2020Tracked since
4,102Hours in CS1Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
CSDB Leaderboard#40946 of 251274 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 23,073 -3,337 1 Mar – 3 Jul · 22 days played
23,07327,674peak 27,6741 Mar3 Jul
27,674Peak Premier in tracked matches
48Days played since 2026-01-07

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 9 among CSDB-tracked players (n=14,332), 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 9 medianLevel 10 medianvs Level 10
Headshot rate37.3%48.2%50.9%13.7% short
Shot accuracy12.9%13.3%13.7%0.9% short
Kill/death ratio1.111.071.09meets
Match win rate49.4%46.9%48.4%meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZLASKFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning55
Utility70

0–100 skill scores via Leetify.

Recent form

COLD41–58–1Last 10041%Win rateLLLLWLLLWW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +1.7pp headshot accuracy · −55ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 517ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 512ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 539ms

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 against its own average).

Aim4.8
Utility7.0
Positioning5.5
Opening Duels3.9
Clutch3.8

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

jL

Plays most like jL 66% 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

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning5.5
Utility7.0
Mechanics3.8
Opening Duels3.4
Win Impact0.0

Composite 4.5/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time553ms+5ms
first ⅓ avg 548ms → last ⅓ avg 553ms
Headshot accuracy13.6%+2.2%
first ⅓ avg 11.4% → last ⅓ avg 13.6%

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

0.10Best match rating · 13–11 · overpass, 5 Apr →
25%Best headshot accuracy · 4–13 · ancient, 17 Jul →
359msFastest reaction time · 3–13 · inferno, 8 Feb →
13–1Biggest win · inferno, 12 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
9–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 70% over 10dust2Weakest map · 19% over 26
MapGradePlayedRecordWin rateAvg rating
infernoB2813–1546%-0.00
dust2D265–2119%-0.02
mirageB178–947%-0.03
overpassS107–370%-0.01
ancientD93–633%-0.02
nukeA53–260%0.01
anubis—31–233%0.03
cache—11–0100%0.05
cache_b—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,927Lifetime kills
1.11K/D · Top 50% of Level 9 players
5,605Matches
49.4%Match win rate · Top 50% of Level 9 players
37.3%Headshot %
12.9%Shot accuracy
13,653MVPs
2,798Hours (in match)
7,389Bombs planted
2,206Bombs defused

Most-used weapons

AK-4737,160
AWP8,503
P2504,386
FAMAS4,110
MAC-103,045

Lifetime map wins

24,431inferno
13,073dust2
2,769nuke
1,230cbble
428train
354vertigo
33aztec
7safehouse

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

Faceit stats

Combat

823Matches
55%Win rate
1.13Avg K/D
79.3ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
18Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno21861%1.1915.8
Anubis13259%1.1215.8
Mirage12756%1.1015.2
Overpass9553%1.1015.5
Dust28353%1.0115.8
Ancient5237%1.1616.4
Nuke3644%1.1117.1
Vertigo1040%1.0514.9

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.

14.2%Headshot accuracy
32.1%Accuracy (enemy spotted)
32.4%Spray accuracy
67.1%Counter-strafing
10.6°Preaim
549msReaction time
38.0%T opening success
49.5%CT opening success
0.62Enemies flashed / flash
3.9%Flash assists
12.53HE damage / grenade
12.32Flashes / 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 14.1555% — below the 15% mark we flag

    Aim Training →
  2. 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 37.964% — below the 40% mark we flag

Spend your practice time on Dust 2

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

19% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–130.0217%23 Sept →
dust27–13-0.0515%11 Sept →
mirage7–13-0.072%20 Aug →
inferno10–13-0.0116%20 Aug →
dust213–8-0.0222%13 Aug →
ancient1–13-0.0214%17 Jul →
anubis6–130.0312%17 Jul →
ancient4–13-0.0725%17 Jul →
inferno13–7-0.018%17 Jul →
dust213–80.0815%17 Jul →
mirage2–13-0.0715%3 Jul →
overpass5–1-0.079%3 Jul →
dust23–130.0220%3 Jul →
dust26–13-0.0016%12 Jun →
inferno13–10.019%12 Jun →
ancient13–110.0614%12 Jun →
mirage9–130.0115%11 Jun →
inferno8–13-0.028%4 Jun →
inferno13–80.0417%4 Jun →
inferno2–13-0.056%1 Jun →
inferno3–13-0.0721%19 May →
inferno10–130.0018%11 May →
inferno8–13-0.0318%9 May →
inferno9–130.0820%9 May →
cache13–30.0515%9 May →
dust215–15-0.0519%9 May →
dust214–160.037%3 May →
mirage2–13-0.050%28 Apr →
mirage13–90.0215%27 Apr →
nuke11–13-0.059%27 Apr →
ancient4–13-0.053%27 Apr →
dust29–13-0.0310%24 Apr →
mirage11–13-0.0616%24 Apr →
anubis10–130.0413%24 Apr →
dust24–13-0.0124%24 Apr →
overpass6–13-0.0311%24 Apr →
dust29–13-0.0417%22 Apr →
inferno11–13-0.0113%19 Apr →
overpass13–70.0811%16 Apr →
ancient8–13-0.0312%14 Apr →
inferno13–5-0.038%13 Apr →
mirage7–13-0.0813%10 Apr →
overpass5–13-0.040%10 Apr →
dust29–13-0.0115%10 Apr →
dust213–80.0214%9 Apr →
inferno13–80.0218%9 Apr →
dust24–13-0.057%5 Apr →
inferno10–13-0.0315%5 Apr →
overpass13–110.109%5 Apr →
inferno11–130.0112%5 Apr →
dust27–13-0.116%5 Apr →
inferno13–16-0.0417%1 Apr →
dust213–9-0.047%1 Apr →
dust212–160.028%1 Apr →
nuke4–13-0.038%1 Apr →
dust27–13-0.0513%31 Mar →
mirage13–8-0.036%31 Mar →
mirage4–13-0.0319%31 Mar →
inferno16–13-0.0621%25 Mar →
inferno13–7-0.028%25 Mar →
dust211–13-0.0215%25 Mar →
nuke13–70.0915%21 Mar →
inferno9–130.0415%20 Mar →
dust25–130.0318%16 Mar →
mirage9–13-0.072%16 Mar →
inferno5–130.0721%14 Mar →
nuke16–140.0111%14 Mar →
ancient11–13-0.059%13 Mar →
overpass10–13-0.0816%1 Mar →
overpass13–9-0.0712%1 Mar →
ancient13–11-0.057%1 Mar →
mirage13–10-0.067%1 Mar →
ancient6–13-0.0425%1 Mar →
mirage13–10-0.0217%25 Feb →
mirage13–8-0.0312%25 Feb →
inferno13–60.029%17 Feb →
dust29–13-0.052%15 Feb →
inferno13–90.048%15 Feb →
nuke13–50.017%15 Feb →
mirage13–60.028%15 Feb →
inferno16–140.0111%13 Feb →
mirage11–13-0.0711%13 Feb →
inferno3–13-0.0619%8 Feb →
inferno13–8-0.0413%8 Feb →
mirage13–110.018%6 Feb →
ancient13–90.0210%6 Feb →
dust29–13-0.035%4 Feb →
dust214–16-0.0316%1 Feb →
mirage13–110.0413%1 Feb →
inferno7–13-0.0511%28 Jan →
dust217–19-0.0321%28 Jan →
overpass13–8-0.022%26 Jan →
inferno13–70.015%26 Jan →
inferno13–110.048%26 Jan →
cache_b7–13-0.0517%18 Jan →
dust27–13-0.0211%9 Jan →
overpass13–110.0613%8 Jan →
dust213–10-0.0112%8 Jan →
overpass16–12-0.0010%7 Jan →
anubis13–50.0122%7 Jan →

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.