Z1XE

Z1XE — CS2 Stats

MO76561199170065906[U:1:1209800178]Steam profile ↗✓ No bans

1,218Tracked matches52%Win rate2022Tracked since
1,037Hours in CS
CSDB Rating4.3 DevelopingSupport
FaceitLevel 3 · 681 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate40.7%41.8%42.7%2.0% short
Shot accuracy10.1%12.2%11.2%1.2% short
Kill/death ratio0.770.980.990.22 short
Match win rate45.2%43.3%43.9%above

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZ1XEFACEITLevel 3 · 681 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning29
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY43–47–10Last 10043%Win rateLLWLWWLWTT

Last 10 vs previous 10: +20pp win rate · −0.05 avg rating · +2.7pp headshot accuracy · −56ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 26%
  • Avg reaction 650ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 23%
  • Avg reaction 651ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 679ms

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).

Aim5.4
Utility4.4
Positioning2.9
Opening Duels1.6
Clutch2.0

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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 681ms 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

Aim5.4
Positioning2.9
Utility4.4
Mechanics7.7
Opening Duels1.8
Win Impact5.6

Composite 4.3/10 (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-0.04+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time676ms−82ms
first ⅓ avg 758ms → last ⅓ avg 676ms
Headshot accuracy21.0%+0.5%
first ⅓ avg 20.5% → last ⅓ avg 21.0%

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

0.32Best match rating · 9–2 · vertigo, 20 Mar →
46%Best headshot accuracy · 7–13 · dust2, 13 Sept →
484msFastest reaction time · 7–13 · dust2, 13 Sept →
13–0Biggest win · cache, 31 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 83% over 6infernoWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%-0.03
anubisD153–1220%-0.04
dust2C94–544%-0.04
infernoD80–80%-0.04
ancientD82–625%-0.06
overpassS64–267%-0.04
agencyB63–350%-0.04
trainS65–183%-0.06
officeA53–260%0.01
vertigo—32–167%0.05
nuke—31–233%-0.06
cache—22–0100%-0.05
italy—21–150%-0.05
palacio—10–10%-0.05
jura—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,767Lifetime kills
0.77K/D
2,869Matches
45.2%Match win rate · Top 50% of Level 3 players
40.7%Headshot %
10.1%Shot accuracy
5,135MVPs
1,037Hours (in match)
2,087Bombs planted
504Bombs defused

Most-used weapons

AK-479,754
AWP3,679
MP91,347
MAC-101,142
Knife896

Lifetime map wins

2,154inferno
1,679vertigo
1,615nuke
1,578dust2
613office
382train
371cbble
100italy

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

Faceit stats

Combat

483Matches
47%Win rate
0.76Avg K/D
67.5ADR
41%Headshot %

Clutches & streaks

30%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage16646%0.7612.8
Anubis9559%0.8213.0
Ancient6144%0.7211.3
Nuke4156%0.6811.2
Dust23537%0.8613.7
Inferno3033%0.7612.8
Vertigo2045%0.569.1
Train450%1.1614.3

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.

19.8%Headshot accuracy
30.1%Accuracy (enemy spotted)
32.0%Spray accuracy
84.6%Counter-strafing
10.4°Preaim
681msReaction time
23.9%T opening success
44.4%CT opening success
0.70Enemies flashed / flash
4.2%Flash assists
8.10HE damage / grenade
10.98Flashes / 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 23.9274% — 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.

0% 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
dust27–13-0.0646%13 Sept →
inferno3–10-0.0418%31 Aug →
cache13–0-0.0531%31 Aug →
dust213–16-0.135%29 Aug →
cache13–9-0.0529%29 Aug →
vertigo13–9-0.1218%29 Aug →
anubis6–13-0.1211%16 Aug →
mirage13–10-0.0415%12 Aug →
dust212–120.0027%12 Aug →
mirage12–12-0.0526%26 Jul →
anubis15–190.0220%23 Jul →
mirage7–13-0.0121%7 Jul →
mirage12–12-0.0421%7 Jul →
anubis10–13-0.0811%16 Apr →
mirage6–13-0.0515%3 Apr →
overpass13–8-0.0516%23 Mar →
italy7–13-0.0819%23 Mar →
vertigo9–20.3233%20 Mar →
inferno0–9-0.1227%20 Mar →
inferno11–13-0.0217%12 Mar →
mirage13–8-0.0615%17 Feb →
overpass12–10.0116%17 Feb →
inferno5–9-0.0133%11 Feb →
ancient9–13-0.1118%8 Feb →
anubis13–16-0.0617%8 Feb →
dust213–40.0528%4 Feb →
mirage13–10-0.0321%4 Feb →
overpass16–14-0.0523%1 Feb →
ancient16–14-0.0421%25 Jan →
inferno8–13-0.049%25 Jan →
nuke13–6-0.0816%24 Jan →
anubis13–110.0020%17 Jan →
mirage13–8-0.0732%16 Jan →
inferno3–13-0.0417%16 Jan →
mirage16–120.0023%16 Jan →
anubis12–16-0.0427%16 Jan →
anubis5–13-0.0743%11 Jan →
anubis13–80.0038%11 Jan →
anubis10–13-0.0324%8 Jan →
mirage11–130.0519%7 Jan →
mirage13–00.0111%1 Jan →
italy13–2-0.0313%1 Jan →
agency13–4-0.0141%1 Jan →
office13–30.0421%1 Jan →
ancient9–13-0.0523%31 Dec →
nuke11–13-0.0019%31 Dec →
dust213–5-0.0110%24 Dec →
mirage13–5-0.0117%24 Dec →
mirage13–3-0.017%18 Dec →
anubis9–13-0.0120%15 Dec →
anubis13–90.0122%15 Dec →
dust26–13-0.097%13 Dec →
dust27–13-0.0616%13 Dec →
office13–9-0.017%2 Dec →
agency5–130.0013%26 Nov →
anubis6–13-0.0217%26 Nov →
vertigo9–13-0.0411%26 Nov →
dust219–17-0.0313%15 Nov →
nuke12–12-0.0912%12 Nov →
dust213–11-0.0214%12 Nov →
palacio4–5-0.058%12 Nov →
agency2–6-0.070%12 Nov →
train13–7-0.0223%5 Nov →
train13–3-0.0710%5 Nov →
ancient9–13-0.0616%4 Nov →
inferno12–12-0.0516%22 Oct →
ancient6–13-0.045%22 Oct →
train13–2-0.0518%21 Oct →
mirage13–7-0.0430%20 Oct →
mirage8–13-0.1026%18 Oct →
agency13–10-0.0123%18 Oct →
anubis2–13-0.0922%18 Oct →
anubis5–13-0.0810%17 Oct →
office4–13-0.0820%17 Oct →
agency11–13-0.079%15 Oct →
train13–2-0.0731%8 Oct →
mirage12–12-0.083%8 Oct →
mirage12–12-0.0615%8 Oct →
overpass12–12-0.0614%7 Oct →
ancient4–13-0.0722%29 Sept →
train13–9-0.0718%29 Sept →
overpass13–3-0.0821%24 Sept →
mirage13–11-0.0727%17 Sept →
overpass12–12-0.0124%17 Sept →
train11–13-0.0520%17 Sept →
mirage4–00.1826%17 Sept →
mirage9–13-0.0722%16 Sept →
mirage12–12-0.0731%8 Sept →
office13–70.0232%6 Sept →
anubis7–13-0.0017%23 Aug →
ancient13–6-0.0812%18 Aug →
mirage6–13-0.1025%18 Aug →
mirage11–13-0.0717%13 Aug →
mirage13–9-0.0117%13 Aug →
inferno3–130.0216%12 Aug →
office9–130.0730%12 Aug →
ancient11–13-0.0415%9 Aug →
agency13–8-0.0624%6 Aug →
jura9–9-0.0324%31 Jul →
mirage13–8-0.0718%31 Jul →

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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