Kaz

Kaz — CS2 Stats

76561198012830042[U:1:52564314]Steam profile ↗✓ No bans

1,472Tracked matches36%Win rate2025Tracked since
CSDB Rating2.2 LearningPositional Player
Premier CS Rating3,452Grey band · top ~85.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−47Premier CS Rating · 3,499 → 3,452
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 20 days played since 27 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 3,452 -621 27 Aug19 Sept · 21 days played
3,3764,718peak 4,71827 Aug19 Sept
4,718Peak Premier in tracked matches
20Days played since 2026-08-27

Premier CS Rating

  • 1,266 below peak (4,718)
  • -621 over 30 days · declining
  • Next: Light Blue band at 5,000 1,548 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGKazPREMIER3,452 · Grey bandcsdb.gg/stats

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Performance scores

Aim22
Positioning52
Utility23

0–100 skill scores via Leetify.

Recent form

COLD414712Last 10041%Win rateTLTLLWWTWT

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +7.1pp headshot accuracy · +43ms 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

  • 032 · 0% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 660ms

Last 10

  • 334 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 713ms

Last 20

  • 5105 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 691ms

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: Positional PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim2.2
Utility2.3
Positioning5.2
Opening Duels2.2

Limited utility dependence

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 64% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 700ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim2.2
Positioning5.2
Utility2.3
Mechanics1.2
Opening Duels1.9
Win Impact0.3

Composite 2.2/10 (Learning), 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-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time706ms+9ms
first ⅓ avg 697ms → last ⅓ avg 706ms
Headshot accuracy13.4%−1.2%
first ⅓ avg 14.5% → 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

0.13Best match rating · 8–8 · inferno, 6 Sept
29%Best headshot accuracy · 9–13 · inferno, 19 Sept
422msFastest reaction time · 8–13 · cache, 4 Sept
13–1Biggest win · mirage, 5 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
46In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 62% over 13infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
infernoD1541127%-0.03
mirageC156940%-0.02
dust2D1551033%-0.01
anubisD1551033%-0.03
nukeA138562%-0.02
ancientA127558%-0.03
cacheD93633%-0.02
poseidon21150%0.03
office21150%-0.05
debris1010%0.00
vertigo110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.8%Headshot accuracy
29.9%Accuracy (enemy spotted)
32.5%Spray accuracy
55.3%Counter-strafing
10.7°Preaim
700msReaction time
31.5%T opening success
43.5%CT opening success
0.38Enemies flashed / flash
4.0%Flash assists
6.30HE damage / grenade
2.16Flashes / 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 13.7817% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3823 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 31.5313% — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient15–15-0.0315%19 Sept
inferno9–13-0.0329%19 Sept
mirage15–150.0110%18 Sept
inferno13–16-0.0316%18 Sept
nuke5–130.1010%17 Sept
mirage13–70.0322%17 Sept
dust213–7-0.0421%17 Sept
inferno15–15-0.0225%17 Sept
dust213–8-0.0422%17 Sept
anubis12–120.0611%17 Sept
anubis3–13-0.0317%17 Sept
dust213–16-0.0118%16 Sept
ancient2–13-0.086%14 Sept
ancient8–13-0.0411%13 Sept
inferno8–13-0.084%12 Sept
mirage13–160.0711%12 Sept
nuke13–100.0314%12 Sept
mirage15–15-0.019%12 Sept
anubis13–7-0.069%12 Sept
anubis13–16-0.068%12 Sept
inferno13–11-0.0713%11 Sept
ancient13–11-0.0021%11 Sept
cache13–60.0718%11 Sept
dust26–130.0017%11 Sept
dust23–13-0.077%9 Sept
nuke4–13-0.074%9 Sept
cache10–130.034%9 Sept
inferno6–130.0010%9 Sept
ancient13–5-0.014%9 Sept
anubis9–13-0.0723%8 Sept
poseidon9–60.0511%8 Sept
debris8–80.0011%8 Sept
cache13–7-0.039%7 Sept
anubis13–10-0.045%7 Sept
nuke8–2-0.0711%7 Sept
mirage13–5-0.0119%7 Sept
cache9–13-0.0617%7 Sept
nuke8–13-0.064%7 Sept
dust27–10.0310%7 Sept
anubis10–13-0.0216%7 Sept
poseidon8–80.014%7 Sept
inferno9–6-0.0614%7 Sept
vertigo9–60.025%6 Sept
inferno8–80.1320%6 Sept
nuke9–5-0.0813%6 Sept
inferno8–80.018%6 Sept
anubis12–12-0.042%6 Sept
inferno6–13-0.062%6 Sept
mirage7–130.0014%6 Sept
mirage10–13-0.0119%5 Sept
anubis16–14-0.0320%5 Sept
anubis13–5-0.0213%5 Sept
nuke13–11-0.0412%5 Sept
inferno13–8-0.105%5 Sept
anubis8–13-0.0111%5 Sept
cache11–13-0.0615%5 Sept
cache7–13-0.0511%5 Sept
mirage13–1-0.0425%5 Sept
mirage6–13-0.0412%5 Sept
ancient13–100.0315%4 Sept
inferno11–13-0.076%4 Sept
anubis13–16-0.038%4 Sept
inferno11–13-0.0413%4 Sept
cache8–13-0.0412%4 Sept
nuke13–30.0214%4 Sept
mirage13–4-0.1014%3 Sept
ancient13–7-0.067%3 Sept
dust23–13-0.0514%3 Sept
cache13–9-0.0513%3 Sept
dust213–8-0.0215%3 Sept
dust211–13-0.0320%3 Sept
dust27–130.0229%3 Sept
ancient13–100.0022%2 Sept
dust25–13-0.0523%2 Sept
ancient7–13-0.109%2 Sept
office12–12-0.0527%2 Sept
ancient13–60.0611%2 Sept
nuke8–13-0.037%2 Sept
dust211–130.1013%2 Sept
dust28–130.0115%2 Sept
mirage10–13-0.0413%2 Sept
ancient10–13-0.068%2 Sept
nuke15–15-0.0224%1 Sept
inferno13–10-0.0410%1 Sept
mirage13–6-0.0314%1 Sept
mirage5–13-0.0614%1 Sept
nuke13–7-0.058%1 Sept
mirage13–8-0.067%1 Sept
ancient13–6-0.098%1 Sept
mirage7–13-0.026%1 Sept
office13–10-0.0420%1 Sept
dust26–13-0.0217%1 Sept
anubis13–16-0.028%1 Sept
nuke13–3-0.016%31 Aug
anubis9–13-0.0614%31 Aug
dust213–100.0122%28 Aug
anubis13–70.0116%28 Aug
inferno6–13-0.0521%28 Aug
cache11–13-0.0216%27 Aug
nuke13–100.0213%27 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 →