Kuzaq

Kuzaq — CS2 Stats

76561198032145613[U:1:71879885]Steam profile ↗✓ No bans

3,411Tracked matches45%Win rate2020Tracked since
CSDB Rating4.2 DevelopingSupport
Premier CS Rating10,697Blue band · top ~51.2% of ranked players (population est.)
FaceitLevel 4 · 1,104 ELOTop 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 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: 10,697 +987 2 Sept – 28 Oct · 19 days played
9,71011,479peak 11,4792 Sept28 Oct
Faceit ELO: 1,104 +0 19 Sept – 24 Sept · 4 observations
1,1041,104peak 1,10419 Sept24 Sept
11,988Peak Premier in tracked matches
1,104Highest Faceit ELO seen on CSDB
37Days played since 2026-08-29

Faceit ELO

  • At peak — 1,104
  • Next: Level 6 at 1,201 — 97 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-19
  • Level 4 first seen 2026-09-19

Premier CS Rating

  • 782 below peak (11,479)
  • +390 over 30 days · steady
  • Next: Purple band at 15,000 — 4,303 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-19
  • Light Blue band first seen 2026-09-19

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.

Share this profile

CSDB.GGKuzaqFACEITLevel 4 · 1,104 ELOSTANDINGTop 81.0% of rankedPREMIER10,697 · Blue bandPEAK ELO1,104csdb.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

Aim37
Positioning54
Utility62

0–100 skill scores via Leetify.

Recent form

COLD51–47–2Last 10051%Win rateLTLLLLLLWW

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · +47ms reaction

Win rate down 40pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 680ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 650ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 627ms

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).

Aim3.7
Utility6.2
Positioning5.4
Opening Duels3.9
Clutch3.4

Strong CT-side openerEffective flashes

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

m0NESY

Plays most like m0NESY 61% 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7
Positioning5.4
Utility6.2
Mechanics3.3
Opening Duels5.0
Win Impact3.3

Composite 4.2/10 (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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time616ms−26ms
first ⅓ avg 642ms → last ⅓ avg 616ms
Headshot accuracy13.4%−3.7%
first ⅓ avg 17.1% → last ⅓ avg 13.4%

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

0.14Best match rating · 13–4 · inferno, 7 Oct →
43%Best headshot accuracy · 9–13 · dust2, 18 Sept →
453msFastest reaction time · 9–13 · ancient, 10 Oct →
13–0Biggest win · dust2, 5 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–10In matches decided by ≤2 rounds
17Overtime games

Map breakdown

mirageBest map · 69% over 16infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C3615–2142%-0.01
ancientS1711–665%-0.00
mirageS1611–569%-0.01
anubisA116–555%0.01
nukeC94–544%-0.01
infernoD72–529%0.02
cache—42–250%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

880Matches
50%Win rate
0.98Avg K/D
70.4ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient11556%0.9914.5
Dust27657%0.9113.5
Anubis7260%1.0114.5
Mirage6050%0.9815.7
Inferno4452%1.2114.7
Nuke3749%1.0213.5
Overpass3459%1.1215.4
Vertigo1638%1.1015.5

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.

13.4%Headshot accuracy
30.5%Accuracy (enemy spotted)
30.8%Spray accuracy
65.0%Counter-strafing
10.0°Preaim
612msReaction time
38.6%T opening success
61.4%CT opening success
0.71Enemies flashed / flash
5.9%Flash assists
9.96HE damage / grenade
7.39Flashes / 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 13.3821% — 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 38.6388% — 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.

29% 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
dust29–130.0024%1 Nov →
dust212–12-0.0315%1 Nov →
anubis8–130.029%31 Oct →
anubis11–130.069%31 Oct →
dust29–130.0716%31 Oct →
dust26–13-0.0713%30 Oct →
dust26–13-0.0111%29 Oct →
ancient7–13-0.0910%28 Oct →
mirage13–1-0.0315%25 Oct →
anubis13–110.0213%25 Oct →
mirage10–13-0.0110%20 Oct →
dust216–13-0.0610%17 Oct →
nuke13–5-0.0529%17 Oct →
nuke13–9-0.0112%15 Oct →
ancient13–10-0.0112%15 Oct →
anubis12–16-0.0411%14 Oct →
cache6–13-0.0215%14 Oct →
ancient8–13-0.039%11 Oct →
ancient16–140.0215%11 Oct →
dust213–40.037%11 Oct →
ancient9–13-0.0110%10 Oct →
mirage11–130.0318%10 Oct →
mirage13–100.0410%10 Oct →
dust213–8-0.0117%10 Oct →
mirage11–13-0.0119%8 Oct →
inferno13–40.1417%7 Oct →
nuke7–130.0611%7 Oct →
anubis16–13-0.0110%4 Oct →
dust216–14-0.0516%2 Oct →
inferno4–13-0.0511%2 Oct →
dust211–13-0.0610%1 Oct →
mirage16–12-0.0413%27 Sept →
mirage8–13-0.0216%27 Sept →
dust228–260.0221%27 Sept →
ancient13–9-0.058%27 Sept →
nuke4–13-0.0115%27 Sept →
ancient16–140.0416%26 Sept →
mirage13–6-0.0423%26 Sept →
cache8–130.0015%25 Sept →
mirage16–13-0.0420%25 Sept →
inferno12–16-0.0427%24 Sept →
ancient13–2-0.0212%24 Sept →
dust211–13-0.0732%24 Sept →
dust211–13-0.0217%24 Sept →
anubis13–50.0319%20 Sept →
dust212–16-0.0417%20 Sept →
nuke13–9-0.0313%19 Sept →
dust211–13-0.0015%19 Sept →
dust22–13-0.0221%18 Sept →
ancient16–120.0413%18 Sept →
ancient13–110.0013%18 Sept →
anubis13–80.0717%18 Sept →
dust26–13-0.0319%18 Sept →
dust29–13-0.0243%18 Sept →
inferno3–130.0210%18 Sept →
inferno13–80.086%18 Sept →
mirage13–10-0.0217%18 Sept →
dust25–130.0110%16 Sept →
nuke7–13-0.0311%16 Sept →
nuke5–13-0.083%15 Sept →
mirage13–60.0112%15 Sept →
mirage13–11-0.0117%15 Sept →
ancient4–13-0.0617%13 Sept →
mirage13–110.0419%13 Sept →
ancient13–7-0.0312%12 Sept →
dust213–10.0314%11 Sept →
dust25–13-0.0215%11 Sept →
inferno14–16-0.0219%7 Sept →
dust213–40.019%7 Sept →
mirage16–120.0119%7 Sept →
dust214–16-0.0615%6 Sept →
dust210–130.0122%6 Sept →
anubis13–11-0.0416%6 Sept →
inferno9–13-0.0315%5 Sept →
ancient5–13-0.0112%5 Sept →
dust213–00.0130%5 Sept →
nuke13–40.0723%5 Sept →
dust213–100.0217%5 Sept →
ancient13–11-0.0216%5 Sept →
dust213–90.0321%5 Sept →
cache13–3-0.0323%5 Sept →
dust213–20.0216%5 Sept →
mirage4–13-0.0716%5 Sept →
dust215–15-0.0523%5 Sept →
ancient13–40.1420%5 Sept →
dust213–80.0128%4 Sept →
dust213–110.0624%4 Sept →
dust29–13-0.005%4 Sept →
mirage13–50.0513%4 Sept →
ancient9–130.029%2 Sept →
anubis13–100.056%2 Sept →
dust213–60.0310%2 Sept →
ancient13–60.0121%2 Sept →
nuke10–130.0115%2 Sept →
dust213–50.1015%2 Sept →
dust22–13-0.0316%1 Sept →
cache13–90.0418%1 Sept →
anubis17–190.0117%31 Aug →
dust210–13-0.1021%31 Aug →
anubis4–13-0.0615%29 Aug →

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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