-⁧⁧ZOAP

-⁧⁧ZOAP — CS2 Stats

RU76561198968332906[U:1:1008067178]Steam profile ↗✓ No bans

1,541Tracked matches43%Win rate2020Tracked since
1,593Hours in CS
CSDB Rating4.5 DevelopingSupport
FaceitLevel 7 · 1,238 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (52 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,238 → 1,238
+107Tracked matches · now 1,541
−3.8ppWin rate · 46.7% → 42.9%

Rating over time

1,238Highest Faceit ELO seen on CSDB
69Days played since 2025-05-12

Faceit ELO

  • At peak — 1,238
  • Next: Level 7 at 1,351 — 113 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-23
  • Level 5 first seen 2026-09-23

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate27.9%45.7%46.8%18.9% short
Shot accuracy12.6%12.7%13.0%0.4% short
Kill/death ratio0.931.051.060.13 short
Match win rate43.4%45.7%46.3%2.9% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG-⁧⁧ZOAPFACEITLevel 7 · 1,238 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,238csdb.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

Aim60
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateWLLWLTLLLT

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · +1.5pp headshot accuracy · −35ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 534ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 512ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 529ms

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 (+1.5 against its own average).

Aim6.0
Utility5.5
Positioning5.3
Opening Duels2.6
Clutch2.8

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 83% 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 →

CSDB Rating breakdown

Aim6.0
Positioning5.3
Utility5.5
Mechanics5.0
Opening Duels3.6
Win Impact2.6

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time546ms−41ms
first ⅓ avg 588ms → last ⅓ avg 546ms
Headshot accuracy11.5%+0.4%
first ⅓ avg 11.0% → last ⅓ avg 11.5%

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

0.10Best match rating · 13–6 · cache, 16 Jun →
26%Best headshot accuracy · 13–8 · nuke, 27 Oct →
313msFastest reaction time · 9–13 · inferno, 7 Oct →
13–1Biggest win · cache, 23 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 67% over 15anubisWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC207–1335%-0.03
infernoS1510–567%-0.01
anubisD123–925%-0.01
ancientD113–827%-0.03
dust2A106–460%-0.01
nukeA85–363%-0.02
cacheS64–267%0.01
officeC52–340%-0.00
vertigo—41–325%0.02
train—41–325%0.00
overpass—21–150%0.08
grail—21–150%-0.00
fachwerk—11–0100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,688Lifetime kills
0.93K/D
4,055Matches
43.4%Match win rate
27.9%Headshot %
12.6%Shot accuracy
10,137MVPs
1,593Hours (in match)
3,655Bombs planted
772Bombs defused

Most-used weapons

AK-4715,227
AWP12,053
P902,158
MAC-101,982
Knife1,770
SSG 081,731

Lifetime map wins

7,681inferno
5,304dust2
3,033nuke
2,024vertigo
778office
632train
182lake
141cbble

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

Faceit stats

Combat

1,478Matches
50%Win rate
0.98Avg K/D
82.2ADR
32%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage24847%1.0216.0
Dust219448%0.9415.7
Inferno18259%1.0116.2
Anubis13054%1.0217.1
Nuke10647%1.0516.2
Ancient10242%0.9516.1
Cache3352%0.9716.8
Vertigo2941%1.2416.7

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.

11.7%Headshot accuracy
35.0%Accuracy (enemy spotted)
39.5%Spray accuracy
72.3%Counter-strafing
10.6°Preaim
540msReaction time
37.8%T opening success
51.2%CT opening success
0.55Enemies flashed / flash
8.6%Flash assists
8.87HE damage / grenade
7.91Flashes / 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 11.7415% — 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 37.7646% — below the 40% mark we flag

Spend your practice time on Anubis

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 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–50.009%2 Nov →
mirage3–13-0.0610%29 Oct →
dust210–130.0321%29 Oct →
dust213–8-0.0414%28 Oct →
anubis4–9-0.0810%28 Oct →
office12–12-0.035%25 Oct →
anubis1–130.0414%22 Oct →
dust26–13-0.0320%21 Oct →
inferno9–13-0.086%7 Oct →
inferno15–15-0.0920%6 Oct →
mirage13–8-0.0113%6 Oct →
inferno10–13-0.053%4 Oct →
mirage13–70.0215%30 Sept →
inferno13–20.034%29 Sept →
inferno5–130.0117%29 Sept →
nuke16–13-0.034%29 Sept →
vertigo2–130.019%28 Sept →
vertigo13–110.088%28 Sept →
office13–50.0123%8 Sept →
mirage8–13-0.0616%1 Sept →
cache13–100.0119%1 Sept →
nuke2–13-0.130%1 Sept →
cache13–10.0111%23 Aug →
cache6–13-0.018%20 Aug →
anubis11–130.0122%29 Jul →
nuke4–6-0.056%29 Jul →
mirage16–140.0112%20 Jul →
ancient5–13-0.0620%20 Jul →
anubis13–10-0.065%20 Jul →
mirage7–130.007%13 Jul →
fachwerk13–100.017%9 Jul →
ancient7–13-0.069%9 Jul →
mirage13–16-0.0611%7 Jul →
anubis13–110.0013%7 Jul →
mirage8–13-0.028%3 Jul →
anubis5–13-0.052%2 Jul →
mirage0–13-0.0520%2 Jul →
dust213–9-0.0925%2 Jul →
ancient16–14-0.0315%29 Jun →
overpass7–130.0714%29 Jun →
inferno13–60.056%26 Jun →
mirage3–13-0.099%26 Jun →
mirage13–100.0211%26 Jun →
mirage13–60.0711%25 Jun →
mirage19–170.059%24 Jun →
train6–13-0.0313%22 Jun →
train5–00.0110%22 Jun →
anubis10–130.0218%22 Jun →
mirage9–13-0.089%22 Jun →
anubis8–13-0.057%21 Jun →
nuke13–40.029%19 Jun →
ancient10–130.0016%18 Jun →
cache13–60.1024%16 Jun →
inferno13–80.0312%16 Jun →
office2–13-0.0519%15 Jun →
inferno13–11-0.0413%14 Jun →
anubis13–80.0212%10 Jun →
ancient7–13-0.045%10 Jun →
anubis9–13-0.084%13 May →
cache13–8-0.036%13 May →
dust219–17-0.0121%30 Apr →
anubis9–130.0511%28 Apr →
cache12–16-0.0415%27 Apr →
mirage7–13-0.107%20 Apr →
nuke11–13-0.0310%20 Apr →
vertigo12–12-0.0210%9 Apr →
mirage10–13-0.056%9 Apr →
mirage10–13-0.0215%7 Apr →
mirage13–9-0.048%2 Apr →
mirage17–19-0.0115%23 Mar →
inferno13–9-0.035%22 Mar →
office13–40.078%18 Mar →
nuke13–90.009%17 Mar →
overpass13–70.0815%12 Mar →
dust213–11-0.0110%11 Mar →
anubis17–19-0.018%9 Mar →
inferno13–20.0316%9 Mar →
nuke13–11-0.0115%3 Mar →
train10–130.049%2 Mar →
train9–13-0.0112%2 Mar →
ancient13–60.0310%2 Mar →
inferno13–40.023%27 Feb →
dust26–13-0.0210%11 Feb →
ancient9–13-0.028%10 Feb →
ancient13–80.0110%8 Jan →
ancient12–16-0.0518%25 Nov →
inferno6–13-0.008%20 Nov →
dust211–130.058%12 Nov →
ancient2–13-0.066%9 Nov →
inferno13–11-0.009%27 Oct →
nuke13–80.0326%27 Oct →
dust213–90.035%22 Oct →
vertigo6–130.027%22 Oct →
ancient14–16-0.0114%21 Oct →
inferno13–110.0114%20 Oct →
office1–8-0.0019%5 Oct →
inferno13–90.017%22 Sept →
grail1–13-0.0410%1 Sept →
mirage9–13-0.0313%18 Jun →
grail13–90.0414%12 May →

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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