-ZICX

-ZICX — CS2 Stats

76561198246581500[U:1:286315772]Steam profile ↗✓ No bans

1,589Tracked matches34%Win rate2020Tracked since
4,602Hours in CS
CSDB Rating5.8 SolidAll-Rounder
FaceitLevel 9 · 2,083 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,402 -3,286 5 Nov – 18 Apr · 11 days played
18,40222,382peak 22,3825 Nov18 Apr
22,382Peak Premier in tracked matches
2,083Highest Faceit ELO seen on CSDB
48Days played since 2025-11-05

Faceit ELO

  • At peak — 2,083
  • Next: 2,500 ELO at 2,500 — 417 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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 rate46.9%48.2%50.9%4.1% short
Shot accuracy20.2%13.2%13.7%above
Kill/death ratio1.051.071.090.04 short
Match win rate31.6%46.9%48.4%16.8% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Match win 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.GG-ZICXFACEITLevel 9 · 2,083 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,083csdb.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

Aim87
Positioning53
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY38–54–8Last 10038%Win rateTLWLWWLWLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −2.5pp headshot accuracy · +82ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 594ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 535ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 494ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.7
Utility5.2
Positioning5.3
Opening Duels3.2
Clutch4.8

Sharp aimer

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

b1t

Plays most like b1t 94% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 560ms 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

Aim8.7
Positioning5.3
Utility5.2
Mechanics7.2
Opening Duels2.8
Win Impact0.0

Composite 5.8/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time559ms−72ms
first ⅓ avg 631ms → last ⅓ avg 559ms
Headshot accuracy26.1%−2.2%
first ⅓ avg 28.3% → last ⅓ avg 26.1%

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

0.18Best match rating · 9–3 · nuke, 10 Jun →
56%Best headshot accuracy · 9–3 · nuke, 10 Jun →
383msFastest reaction time · 6–13 · mirage, 12 Feb →
13–1Biggest win · mirage, 8 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 52% over 25infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC2611–1542%0.02
mirageB2513–1252%0.01
dust2D113–827%0.03
cacheD103–730%0.04
infernoD71–614%-0.05
ancientD62–433%0.04
overpassC52–340%-0.03
vertigo—32–167%0.09
anubis—30–30%0.00
train—21–150%0.05
italy—10–10%0.10
rooftop—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

295,432Lifetime kills
1.05K/D
11,277Matches
31.6%Match win rate
46.9%Headshot %
20.2%Shot accuracy · Top 5% of Level 9 players
27,757MVPs
4,602Hours (in match)
9,205Bombs planted
2,233Bombs defused

Most-used weapons

AK-4787,233
AWP74,954
SSG 086,746
Knife6,095
SG 5533,922
P2503,219

Lifetime map wins

11,815dust2
10,802inferno
3,867vertigo
2,309nuke
1,484train
769cbble
483lake
207safehouse

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

Faceit stats

Combat

1,025Matches
52%Win rate
1.15Avg K/D
85.3ADR
49%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5357%1.3219.3
Nuke3155%1.2318.4
Dust22241%1.1517.2
Overpass1050%1.1418.2
Cache743%1.0017.6
Anubis50%0.9214.0
Ancient520%0.9812.0
Inferno425%0.7815.8

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.

26.6%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.0%Spray accuracy
82.5%Counter-strafing
9.7°Preaim
560msReaction time
35.5%T opening success
46.8%CT opening success
0.59Enemies flashed / flash
15.3%Flash assists
9.64HE damage / grenade
5.94Flashes / 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

    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 35.5315% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–150.1220%1 Nov →
nuke5–13-0.0524%30 Oct →
mirage13–60.1122%30 Oct →
cache5–13-0.0342%30 Oct →
nuke13–8-0.0628%28 Oct →
nuke16–130.0325%28 Oct →
mirage7–13-0.0412%25 Oct →
cache13–50.0326%25 Oct →
dust24–130.0321%25 Oct →
ancient7–130.0129%14 Oct →
dust211–13-0.0522%10 Oct →
dust28–130.0223%9 Oct →
nuke14–160.0736%2 Oct →
nuke7–130.0439%1 Oct →
nuke13–80.0345%19 Sept →
inferno8–130.0036%12 Sept →
nuke13–8-0.0129%23 Aug →
dust28–13-0.0422%23 Aug →
inferno0–2-0.280%22 Aug →
mirage13–80.0121%20 Aug →
mirage13–110.1033%17 Aug →
mirage13–100.0825%13 Aug →
vertigo9–60.1026%16 Jun →
nuke8–80.0713%16 Jun →
vertigo7–90.0029%10 Jun →
inferno7–9-0.0513%10 Jun →
nuke9–30.1856%10 Jun →
inferno9–130.0416%10 Jun →
mirage6–130.0137%25 May →
cache9–130.0024%7 May →
italy6–130.1021%7 May →
cache9–130.0619%7 May →
cache11–130.0627%7 May →
cache7–20.0923%7 May →
cache11–130.0025%4 May →
cache9–130.0726%3 May →
cache7–130.0730%3 May →
cache3–20.0036%3 May →
nuke13–110.1319%18 Apr →
nuke9–130.0623%14 Apr →
mirage15–150.0531%14 Apr →
overpass5–9-0.1031%22 Mar →
mirage13–110.0322%7 Mar →
inferno6–130.0035%2 Mar →
nuke6–13-0.0433%12 Feb →
mirage6–13-0.0620%12 Feb →
mirage5–130.0131%10 Feb →
nuke11–130.0516%10 Feb →
dust215–150.0928%9 Feb →
anubis8–130.0324%9 Feb →
mirage13–10-0.0114%9 Feb →
nuke13–80.0250%9 Feb →
nuke13–100.0322%8 Feb →
ancient13–100.0917%8 Feb →
dust23–130.0218%8 Feb →
anubis6–13-0.0531%8 Feb →
mirage13–1-0.0116%8 Feb →
nuke15–150.0126%8 Feb →
dust213–100.0328%8 Feb →
overpass9–13-0.0523%7 Feb →
mirage13–50.0519%7 Feb →
mirage11–130.1123%7 Feb →
anubis8–130.0317%6 Feb →
ancient6–130.0121%6 Feb →
ancient11–13-0.0021%31 Dec →
mirage13–10-0.0126%31 Dec →
nuke2–130.0444%30 Dec →
mirage13–80.0428%29 Dec →
nuke19–160.0034%29 Dec →
overpass13–7-0.0019%29 Dec →
nuke13–6-0.0245%29 Dec →
mirage6–130.0110%22 Dec →
mirage4–130.0142%22 Dec →
ancient13–80.0322%22 Dec →
train10–130.0324%21 Dec →
nuke10–13-0.0733%21 Dec →
inferno13–4-0.0237%21 Dec →
mirage11–13-0.0624%15 Dec →
rooftop8–80.0324%14 Dec →
vertigo9–60.1634%14 Dec →
dust213–60.0843%6 Dec →
nuke13–80.0122%6 Dec →
overpass13–40.0442%6 Dec →
nuke7–130.0925%6 Dec →
nuke5–9-0.0430%5 Dec →
mirage7–13-0.048%14 Nov →
nuke15–150.0138%12 Nov →
mirage13–7-0.0433%12 Nov →
mirage4–13-0.0711%11 Nov →
nuke8–13-0.0129%7 Nov →
dust213–80.1227%7 Nov →
mirage13–90.1022%7 Nov →
mirage4–0-0.0325%7 Nov →
inferno2–13-0.0423%7 Nov →
dust29–130.0426%7 Nov →
dust28–130.0231%7 Nov →
overpass5–13-0.0535%6 Nov →
nuke15–15-0.0422%6 Nov →
mirage11–130.0132%6 Nov →
train13–50.0733%5 Nov →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.