kaz

kaz — CS2 Stats

76561197999593846[U:1:39328118]Steam profile ↗✓ No bans

939Tracked matches44%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating21,665Top 50% of 204,150 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#58387 of 251274 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (5 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: 21,665 -1,522 30 Nov – 7 Oct · 24 days played
21,19424,539peak 24,53930 Nov7 Oct
24,539Peak Premier in tracked matches
64Days played since 2025-11-30

Premier CS Rating

  • 2,874 below peak (24,539)
  • Next: Red band at 25,000 — 3,335 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.

Share this profile

CSDB.GGkazPREMIER21,665 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning57
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWWTWWLLLLW

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating · −5.0pp headshot accuracy · −52ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–0–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 592ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 622ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 648ms

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 Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim7.3
Utility4.7
Positioning5.7
Opening Duels3.5
Clutch2.6

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 639ms 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

Aim7.3
Positioning5.7
Utility4.7
Mechanics7.5
Opening Duels2.8
Win Impact3.1

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time665ms+5ms
first ⅓ avg 661ms → last ⅓ avg 665ms
Headshot accuracy24.3%+0.8%
first ⅓ avg 23.5% → last ⅓ avg 24.3%

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

0.27Best match rating · 13–7 · train, 20 Dec →
47%Best headshot accuracy · 6–13 · cache, 8 Aug →
414msFastest reaction time · 0–9 · dust2, 20 Aug →
13–2Biggest win · ancient, 24 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
4–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 55% over 11mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
ancientB2010–1050%0.00
dust2B179–853%0.00
cacheB147–750%-0.01
mirageD122–1017%-0.00
nukeB115–645%0.02
anubisA116–555%0.02
infernoD72–529%0.03
overpass—40–40%0.00
train—22–0100%0.15
eldorado—10–10%-0.05
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

376Matches
60%Win rate
1.14Avg K/D
77.0ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4267%1.1115.9
Anubis3549%1.0817.1
Dust22752%1.0213.7
Vertigo1457%1.2216.1
Nuke1369%1.0216.9
Mirage1354%1.1016.1
Overpass1267%1.2318.0
Train667%1.3816.8

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.

23.9%Headshot accuracy
33.5%Accuracy (enemy spotted)
37.7%Spray accuracy
84.0%Counter-strafing
10.0°Preaim
639msReaction time
39.2%T opening success
43.5%CT opening success
0.62Enemies flashed / flash
9.4%Flash assists
4.42HE damage / grenade
7.10Flashes / 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 39.2036% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.1013%7 Oct →
cache13–8-0.0217%4 Oct →
nuke15–150.0021%26 Sept →
anubis13–60.0829%26 Sept →
cache16–120.1120%24 Sept →
nuke1–4-0.0222%9 Sept →
anubis9–130.0627%5 Sept →
anubis11–130.0028%27 Aug →
nuke0–3-0.0433%26 Aug →
ancient13–20.0111%24 Aug →
cache10–13-0.1113%24 Aug →
anubis13–50.0528%23 Aug →
dust213–40.0326%23 Aug →
dust20–9-0.0545%20 Aug →
mirage7–13-0.0621%19 Aug →
cache5–13-0.0035%12 Aug →
mirage7–13-0.0523%12 Aug →
dust210–13-0.0222%11 Aug →
eldorado0–9-0.0533%11 Aug →
overpass4–9-0.0223%11 Aug →
dust212–120.0238%8 Aug →
cache6–130.0147%8 Aug →
ancient5–13-0.0323%6 Aug →
dust213–40.0215%6 Aug →
ancient12–120.0132%23 Jul →
mirage8–130.0323%23 Jul →
cache8–13-0.0915%20 Jul →
dust213–100.0821%20 Jul →
cache13–20.0522%10 Jul →
ancient13–20.0118%10 Jul →
dust213–4-0.0429%10 Jul →
cache5–130.0015%10 Jul →
cache4–13-0.0813%5 Jul →
mirage2–13-0.0224%5 Jul →
dust213–8-0.0032%5 Jul →
mirage5–130.0123%18 Jun →
dust213–20.0118%18 Jun →
vertigo13–80.0516%17 Jun →
cache13–40.0219%11 Jun →
inferno9–60.1813%28 May →
nuke9–20.2216%28 May →
cache13–6-0.0630%27 May →
cache13–10-0.0035%27 May →
ancient6–13-0.1026%23 May →
cache13–3-0.0226%13 May →
ancient13–20.0328%7 May →
cache12–120.0521%6 May →
anubis13–70.0620%19 Apr →
overpass8–13-0.027%19 Apr →
ancient13–9-0.0313%19 Apr →
ancient8–130.0338%18 Apr →
overpass14–160.0519%13 Apr →
ancient1–13-0.089%12 Apr →
anubis7–13-0.0341%12 Apr →
anubis5–13-0.0411%8 Apr →
nuke13–90.0340%7 Apr →
ancient8–13-0.0416%2 Apr →
mirage13–50.0918%30 Mar →
ancient0–3-0.100%29 Mar →
dust211–13-0.0124%29 Mar →
ancient14–16-0.0128%27 Mar →
nuke13–100.0324%23 Mar →
overpass13–160.0116%22 Mar →
dust20–3-0.0520%16 Mar →
ancient13–11-0.0622%16 Mar →
anubis13–10-0.0615%15 Mar →
inferno10–13-0.1025%15 Mar →
dust22–13-0.018%14 Mar →
dust213–70.1223%13 Mar →
nuke6–13-0.0417%8 Mar →
dust213–4-0.0021%8 Mar →
ancient6–130.0023%7 Mar →
nuke7–13-0.0423%1 Mar →
anubis13–160.0723%1 Mar →
dust24–13-0.0712%1 Mar →
mirage9–130.0233%14 Feb →
nuke13–40.0424%14 Feb →
ancient13–90.0020%13 Feb →
anubis13–90.0121%12 Feb →
inferno10–130.0427%6 Feb →
nuke11–130.0329%31 Jan →
inferno16–120.0825%31 Jan →
mirage7–13-0.0532%27 Jan →
ancient7–13-0.0125%27 Jan →
dust213–8-0.0119%25 Jan →
anubis13–11-0.0020%25 Jan →
ancient13–40.1123%22 Jan →
mirage6–13-0.0213%16 Jan →
ancient13–90.0722%13 Jan →
mirage13–110.0735%11 Jan →
train13–110.0221%3 Jan →
inferno11–13-0.0328%3 Jan →
nuke13–70.0415%3 Jan →
ancient13–80.0826%27 Dec →
dust212–160.0023%27 Dec →
mirage5–13-0.0230%26 Dec →
train13–70.2724%20 Dec →
inferno7–130.0025%20 Dec →
mirage2–13-0.0234%20 Dec →
inferno9–130.0130%30 Nov →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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