KZAX

KZAX — CS2 Stats

CZ76561199502162935[U:1:1541897207]Steam profile ↗✓ No bans

2,196Tracked matches76%Win rate2024Tracked since
2,325Hours in CS13Hrs last 2 wks
CSDB Rating7.9 StrongSupport
Premier CS Rating19,441Top 50% of 215,558 CSDB-tracked playersPurple band · top ~10.7% of ranked players (population est.)
CSDB Leaderboard#94824 of 261698 tracked
FaceitLevel 9 · 1,831 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (11 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: 19,441 +2,839 19 Oct – 4 Nov · 12 days played
16,12820,000peak 20,00019 Oct4 Nov
Faceit ELO: 1,831 +0 29 Aug – 10 Sept · 4 observations
1,8311,831peak 1,83129 Aug10 Sept
20,120Peak Premier in tracked matches
1,831Highest Faceit ELO seen on CSDB
33Days played since 2026-07-19

Faceit ELO

  • At peak — 1,831
  • Next: Level 10 at 2,001 — 170 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-29
  • Level 8 first seen 2026-08-29

Premier CS Rating

  • 559 below peak (20,000)
  • Next: Pink band at 20,000 — 559 to go
  • Reached: Pink band · 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. 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 9 among CSDB-tracked players (n=15,553), 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 rate51.1%48.2%50.9%meets
Shot accuracy0.3%13.2%13.7%13.3% short
Kill/death ratio1.341.071.09above
Match win rate55.3%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGKZAXFACEITLevel 9 · 1,831 ELOSTANDINGTop 20.7% of rankedPREMIER19,441 · Purple bandPEAK ELO1,831csdb.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

Aim95
Positioning64
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLWWLLWWWLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −0.6pp headshot accuracy · −27ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 481ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 446ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 459ms

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 (+1.4 against its own average).

Aim9.5
Utility6.9
Positioning6.4
Opening Duels4.4
Clutch4.4

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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: aim profile, utility contribution.

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 95 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Aim9.5
Positioning6.4
Utility6.9
Mechanics8.3
Opening Duels4.8
Win Impact10.0

Composite 7.9/10 (Strong), 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 rating0.06+0.04
first ⅓ avg 0.02 → last ⅓ avg 0.06
Reaction time466ms−90ms
first ⅓ avg 556ms → last ⅓ avg 466ms
Headshot accuracy21.6%−2.0%
first ⅓ avg 23.7% → last ⅓ avg 21.6%

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

0.21Best match rating · 13–6 · anubis, 1 Nov →
47%Best headshot accuracy · 7–13 · cache, 21 Jul →
359msFastest reaction time · 7–13 · dust2, 31 Oct →
13–0Biggest win · fachwerk, 21 Jul →

Across the last 100 tracked matches.

Highlights

11Longest win streak
5–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

fachwerkBest map · 83% over 6trainWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2214–864%0.03
dust2B179–853%0.03
anubisS1711–665%0.06
ancientA85–363%0.07
infernoD72–529%0.02
nukeS64–267%0.03
cacheB63–350%0.04
fachwerkS65–183%0.03
trainD50–50%0.04
vertigo—21–150%0.02
italy—20–20%-0.05
office—10–10%-0.02
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

62,057Lifetime kills
1.34K/D · Top 25% of Level 9 players
3,346Matches
55.3%Match win rate · Top 10% of Level 9 players
51.1%Headshot % · Top 50% of Level 9 players
0.3%Shot accuracy
10,114MVPs
1,273Hours (in match)
2,588Bombs planted
994Bombs defused

Most-used weapons

AK-4723,374
AWP5,227
MP71,575
SSG 081,514
MP91,414

Lifetime map wins

9,075dust2
5,824inferno
2,027nuke
1,930vertigo
597train
145office
68italy
41cbble

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

Faceit stats

Combat

277Matches
54%Win rate
1.44Avg K/D
92.5ADR
53%Headshot %

Clutches & streaks

42%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11257%1.5618.9
Dust26052%1.4418.9
Ancient3653%1.4119.9
Anubis3256%1.2516.3
Nuke1650%1.2917.6
Inferno1450%1.3419.4
Train3100%1.5618.7
Cache20%1.1219.5

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.

21.3%Headshot accuracy
39.4%Accuracy (enemy spotted)
39.5%Spray accuracy
87.2%Counter-strafing
6.4°Preaim
465msReaction time
54.3%T opening success
44.0%CT opening success
0.64Enemies flashed / flash
2.6%Flash assists
6.65HE damage / grenade
17.20Flashes / match

Recommended for you

Spend your practice time on Train

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

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0023%4 Nov →
mirage13–90.0211%4 Nov →
mirage13–60.0318%3 Nov →
dust29–130.0224%2 Nov →
mirage9–13-0.0127%1 Nov →
anubis13–60.0916%1 Nov →
anubis13–60.2127%1 Nov →
anubis13–40.0420%1 Nov →
dust27–13-0.0412%31 Oct →
mirage13–50.1024%31 Oct →
anubis13–60.1018%31 Oct →
nuke13–90.1030%31 Oct →
mirage13–50.1621%31 Oct →
dust213–40.1527%31 Oct →
anubis15–150.0416%30 Oct →
anubis3–130.0516%30 Oct →
dust211–130.0125%29 Oct →
anubis13–100.0217%29 Oct →
mirage13–10.1115%29 Oct →
cache13–30.1524%29 Oct →
ancient13–90.1030%29 Oct →
dust213–3-0.0320%29 Oct →
mirage13–90.0011%29 Oct →
dust216–140.0422%28 Oct →
anubis16–12-0.0313%28 Oct →
cache13–20.0532%22 Oct →
dust213–40.0710%22 Oct →
mirage13–80.1127%21 Oct →
inferno9–130.0422%20 Oct →
inferno13–70.0243%19 Oct →
inferno7–130.0121%19 Oct →
ancient13–60.1023%19 Oct →
dust213–50.1730%19 Oct →
dust213–10.0818%19 Oct →
ancient13–30.127%17 Oct →
inferno9–130.0221%25 Sept →
dust213–11-0.0019%23 Sept →
dust211–130.0130%6 Sept →
mirage3–13-0.0431%6 Sept →
dust211–130.0920%6 Sept →
anubis5–130.0011%23 Aug →
anubis13–16-0.0118%23 Aug →
mirage13–50.0413%18 Aug →
nuke6–13-0.0225%18 Aug →
anubis13–30.0819%18 Aug →
anubis1–110.0221%17 Aug →
anubis13–90.1123%17 Aug →
mirage8–130.0731%17 Aug →
inferno8–80.0120%17 Aug →
vertigo13–70.0820%17 Aug →
cache4–130.0129%17 Aug →
ancient9–13-0.0010%17 Aug →
vertigo9–13-0.0422%16 Aug →
anubis13–110.0521%16 Aug →
nuke13–8-0.0016%16 Aug →
dust213–70.0526%16 Aug →
cache12–16-0.0323%14 Aug →
mirage13–70.0718%14 Aug →
mirage12–120.0217%14 Aug →
nuke13–70.0232%14 Aug →
dust213–60.0428%14 Aug →
mirage13–10-0.0017%14 Aug →
mirage13–110.0122%13 Aug →
mirage13–40.0523%13 Aug →
mirage10–13-0.0331%13 Aug →
mirage13–70.0413%12 Aug →
ancient13–160.0313%12 Aug →
inferno6–13-0.0915%9 Aug →
anubis5–130.0710%7 Aug →
mirage13–90.0318%7 Aug →
italy7–13-0.0714%4 Aug →
inferno9–50.1327%4 Aug →
mirage6–130.0121%29 Jul →
dust27–13-0.0419%29 Jul →
anubis16–140.0531%28 Jul →
italy6–13-0.0428%27 Jul →
ancient14–160.0721%27 Jul →
ancient13–70.0332%27 Jul →
dust22–13-0.0814%27 Jul →
mirage1–13-0.0610%26 Jul →
cache13–40.0730%26 Jul →
mirage6–130.0029%21 Jul →
cache7–130.0147%21 Jul →
office7–13-0.0221%21 Jul →
fachwerk13–20.0214%21 Jul →
fachwerk13–10.0429%21 Jul →
fachwerk13–10.0519%21 Jul →
fachwerk13–00.0526%21 Jul →
overpass13–7-0.0121%21 Jul →
train9–130.1522%21 Jul →
train11–13-0.0224%20 Jul →
train5–13-0.0138%20 Jul →
train6–130.0438%19 Jul →
train9–130.0326%19 Jul →
nuke11–130.0833%19 Jul →
fachwerk2–13-0.0125%19 Jul →
fachwerk13–00.0316%19 Jul →
nuke13–50.0027%19 Jul →
ancient13–60.0710%19 Jul →
anubis13–100.0826%19 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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