Zlapskii

Zlapskii — CS2 Stats

CG76561199220710139[U:1:1260444411]Steam profile ↗✓ No bans

927Tracked matches37%Win rate2022Tracked since
CSDB Rating4.0 DevelopingSupport
Premier CS Rating12,054Blue band · top ~44% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (9 days ago). 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: 12,054 -1,743 23 Nov – 17 Oct · 24 days played
10,96915,673peak 15,67323 Nov17 Oct
15,673Peak Premier in tracked matches
50Days played since 2025-09-14

Premier CS Rating

  • 3,619 below peak (15,673)
  • Next: Purple band at 15,000 — 2,946 to go
  • Reached: 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.

Share this profile

CSDB.GGZlapskiiPREMIER12,054 · Blue bandcsdb.gg/stats

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Performance scores

Aim45
Positioning47
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY43–57Last 10043%Win rateLWLLLWWLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.9pp headshot accuracy · −4ms 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 15%
  • Avg reaction 574ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 603ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 604ms

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 (+2.1 against its own average).

Aim4.5
Utility6.2
Positioning4.7
Opening Duels1.4

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 71% 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. 599ms 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

Aim4.5
Positioning4.7
Utility6.2
Mechanics5.0
Opening Duels2.0
Win Impact0.6

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time600ms−65ms
first ⅓ avg 666ms → last ⅓ avg 600ms
Headshot accuracy13.6%+1.1%
first ⅓ avg 12.5% → 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

0.17Best match rating · 13–7 · nuke, 22 Jan →
32%Best headshot accuracy · 3–13 · overpass, 23 Nov →
406msFastest reaction time · 13–1 · ancient, 19 Sept →
13–0Biggest win · overpass, 23 Nov →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 83% over 12ancientWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
nukeC188–1044%0.01
mirageD175–1229%-0.00
ancientD143–1121%-0.02
dust2C135–838%0.01
infernoS1210–283%0.04
overpassD82–625%-0.00
cacheS64–267%-0.01
anubisA53–260%0.03
train—42–250%-0.03
vertigo—31–233%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.1%Headshot accuracy
33.7%Accuracy (enemy spotted)
37.5%Spray accuracy
72.6%Counter-strafing
13.0°Preaim
599msReaction time
33.3%T opening success
42.5%CT opening success
0.62Enemies flashed / flash
2.5%Flash assists
10.22HE damage / grenade
13.57Flashes / 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 13.012° — 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 13.0517% — below the 15% mark we flag

    Aim Training →
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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.078%17 Oct →
anubis13–90.0525%17 Oct →
ancient10–13-0.0611%17 Oct →
mirage2–13-0.0220%12 Oct →
mirage2–13-0.0314%12 Oct →
mirage13–60.0521%11 Oct →
ancient13–60.0612%11 Oct →
nuke8–13-0.058%10 Oct →
train13–7-0.0223%10 Oct →
nuke14–160.039%9 Oct →
cache16–130.016%9 Oct →
dust29–13-0.066%9 Oct →
dust25–13-0.0323%7 Oct →
mirage2–13-0.0322%7 Oct →
dust26–13-0.0411%7 Oct →
anubis13–70.109%7 Oct →
train3–13-0.0615%7 Oct →
inferno13–100.1113%7 Oct →
dust25–130.0611%6 Oct →
cache6–13-0.0115%3 Oct →
cache13–20.0715%3 Oct →
nuke7–13-0.0312%3 Oct →
dust23–13-0.0311%3 Oct →
inferno13–10-0.0314%3 Oct →
nuke13–20.0419%2 Oct →
anubis6–30.029%2 Oct →
mirage7–13-0.0610%2 Oct →
ancient8–130.017%2 Oct →
vertigo6–9-0.0415%2 Oct →
inferno6–9-0.0113%2 Oct →
nuke6–90.1219%2 Oct →
inferno9–70.1412%2 Oct →
mirage7–130.0013%2 Oct →
cache2–13-0.0813%1 Oct →
mirage8–13-0.048%1 Oct →
cache16–13-0.0218%30 Sept →
mirage2–11-0.0921%27 Sept →
inferno13–70.106%19 Sept →
ancient13–1-0.027%19 Sept →
inferno8–13-0.0415%19 Sept →
nuke16–12-0.056%19 Sept →
nuke3–13-0.0117%19 Sept →
nuke5–130.0222%14 Sept →
dust213–9-0.0114%29 Aug →
dust27–130.0114%29 Aug →
ancient7–13-0.0311%26 Aug →
inferno13–110.0410%26 Jul →
nuke13–40.0624%26 Jul →
nuke6–130.0111%21 Jul →
ancient5–13-0.0619%21 Jul →
nuke13–9-0.016%30 Jun →
mirage9–130.0311%19 Jun →
dust210–13-0.0217%14 Jun →
cache13–8-0.0111%4 May →
ancient13–7-0.0211%20 Apr →
anubis12–16-0.0012%12 Apr →
ancient6–130.0019%12 Apr →
inferno13–50.034%9 Apr →
dust213–10.1422%8 Apr →
mirage13–70.069%29 Mar →
dust213–8-0.049%22 Mar →
ancient0–7-0.0710%19 Mar →
ancient4–130.0116%18 Mar →
mirage13–110.0716%8 Mar →
nuke8–130.0320%8 Mar →
overpass13–6-0.0315%23 Feb →
inferno13–9-0.0321%15 Feb →
nuke13–50.0620%7 Feb →
inferno13–70.0820%27 Jan →
anubis10–13-0.0210%27 Jan →
ancient4–13-0.0416%27 Jan →
ancient6–13-0.0118%25 Jan →
nuke13–70.1719%22 Jan →
mirage1–110.0223%28 Dec →
dust213–10-0.0224%28 Dec →
mirage1–70.000%27 Dec →
overpass11–13-0.0115%7 Dec →
mirage7–130.067%5 Dec →
train9–13-0.0520%5 Dec →
overpass0–13-0.0610%5 Dec →
nuke13–11-0.093%23 Nov →
mirage11–13-0.029%23 Nov →
overpass3–13-0.0232%23 Nov →
vertigo7–9-0.063%23 Nov →
train13–90.016%23 Nov →
overpass13–00.026%23 Nov →
ancient1–13-0.047%22 Nov →
ancient7–13-0.0312%22 Nov →
nuke6–13-0.0422%22 Nov →
mirage13–5-0.028%22 Nov →
overpass8–130.1212%21 Nov →
nuke12–50.059%2 Nov →
mirage13–6-0.0513%2 Nov →
vertigo13–90.0510%24 Oct →
overpass9–13-0.023%24 Oct →
dust29–130.059%20 Oct →
overpass11–13-0.006%28 Sept →
inferno13–9-0.0011%22 Sept →
inferno13–90.1012%22 Sept →
dust213–100.0520%14 Sept →

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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