kaz

kaz — CS2 Stats

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

947Tracked matches48%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
Premier CS Rating22,084Top 50% of 213,399 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#55338 of 260019 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (13 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: 22,084 -552 20 Dec – 23 Oct · 24 days played
21,19424,539peak 24,53920 Dec23 Oct
24,539Peak Premier in tracked matches
65Days played since 2025-12-20

Premier CS Rating

  • 2,455 below peak (24,539)
  • Next: Red band at 25,000 — 2,916 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.GGkazPREMIER22,084 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning61
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWWWWTWWLLL

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating · −4.5pp headshot accuracy · −80ms 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 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 588ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 580ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 620ms

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 (+1.8 against its own average).

Aim7.4
Utility4.6
Positioning6.1
Opening Duels4.1
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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 635ms 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

Aim7.4
Positioning6.1
Utility4.6
Mechanics7.6
Opening Duels4.2
Win Impact4.4

Composite 6.3/10 (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 rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time655ms−10ms
first ⅓ avg 665ms → last ⅓ avg 655ms
Headshot accuracy24.6%+1.9%
first ⅓ avg 22.8% → last ⅓ avg 24.6%

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

0.27Best 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
W4Current streak
4–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 55% over 22mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
ancientA2212–1055%0.00
dust2B179–853%0.00
cacheB147–750%-0.01
nukeB115–645%0.02
anubisA116–555%0.02
mirageD112–918%-0.00
infernoD62–433%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 (18% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

383Matches
61%Win rate
1.14Avg K/D
76.2ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient4367%1.1215.9
Anubis3549%1.0817.1
Dust23050%0.9813.5
Nuke1573%0.9916.3
Vertigo1457%1.2216.1
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.

23.7%Headshot accuracy
33.5%Accuracy (enemy spotted)
37.4%Spray accuracy
84.4%Counter-strafing
9.9°Preaim
635msReaction time
44.9%T opening success
48.5%CT opening success
0.61Enemies flashed / flash
8.8%Flash assists
4.54HE damage / grenade
7.26Flashes / match

Recommended for you

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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0217%31 Oct →
ancient13–80.0521%23 Oct →
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 →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.