Kazuuga

Kazuuga — CS2 Stats

EE76561198343701381[U:1:383435653]Steam profile ↗✓ No bans

410Tracked matches50%Win rate2021Tracked since
642Hours in CS9Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating20,529Top 50% of 210,006 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#75199 of 257129 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (3 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: 20,529 +2,615 24 Jul – 21 Oct · 27 days played
17,91420,529peak 20,52924 Jul21 Oct
20,529Peak Premier in tracked matches
40Days played since 2026-07-24

Premier CS Rating

  • At peak — 20,529
  • +647 over 30 days · improving
  • +2,615 over 90 days
  • Next: Red band at 25,000 — 4,471 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate33.3%46.9%49.3%16.0% short
Shot accuracy11.4%13.0%13.4%2.0% short
Kill/death ratio1.201.081.12above
Match win rate46.6%46.7%48.5%1.9% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKazuugaPREMIER20,529 · Pink bandcsdb.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

Aim34
Positioning61
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY54–37–9Last 10054%Win rateLWLWWWWWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +4.7pp headshot accuracy · +42ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 514ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 566ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 545ms

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 (+2.1 against its own average).

Aim3.4
Utility4.1
Positioning6.1
Opening Duels3.2
Clutch2.6

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

donk

Plays most like donk 66% 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 64% on T to 44% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 56% 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

Aim3.4
Positioning6.1
Utility4.1
Mechanics1.2
Opening Duels6.0
Win Impact5.0

Composite 4.2/10 (Developing), 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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time537ms−52ms
first ⅓ avg 590ms → last ⅓ avg 537ms
Headshot accuracy11.7%+1.5%
first ⅓ avg 10.2% → last ⅓ avg 11.7%

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

0.19Best match rating · 9–2 · nuke, 19 Sept →
40%Best headshot accuracy · 13–6 · anubis, 21 Oct →
359msFastest reaction time · 13–7 · office, 10 Sept →
13–0Biggest win · vertigo, 23 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 67% over 9mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA3623–1364%-0.00
officeB157–847%0.00
dust2A127–558%-0.02
infernoS96–367%0.02
anubisA85–363%-0.02
mirageD82–625%-0.04
cache—41–325%0.01
ancient—41–325%0.01
train—21–150%0.02
vertigo—21–150%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,823Lifetime kills
1.20K/D · Top 50% of Pink band
1,123Matches
46.6%Match win rate
33.3%Headshot %
11.4%Shot accuracy
3,123MVPs
378Hours (in match)
1,327Bombs planted
220Bombs defused

Most-used weapons

Lifetime map wins

1,960office
1,529inferno
1,362nuke
1,050dust2
315vertigo
238lake
185train
19italy

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

Faceit stats

Combat

8Matches
62%Win rate
0.88Avg K/D
65.9ADR
30%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3100%0.6612.3
Dust2250%1.1613.5
Overpass10%0.7311.0
Nuke1100%0.8511.0
Cache10%1.1728.0

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.

11.4%Headshot accuracy
31.0%Accuracy (enemy spotted)
34.6%Spray accuracy
55.6%Counter-strafing
11.7°Preaim
523msReaction time
63.7%T opening success
43.9%CT opening success
0.50Enemies flashed / flash
4.0%Flash assists
11.94HE damage / grenade
3.67Flashes / 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 11.3805% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6693 — below the 4 mark we flag

    Grenade Lineups →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–130.0521%22 Oct →
anubis13–6-0.0140%21 Oct →
office6–130.017%21 Oct →
cache13–110.0312%21 Oct →
nuke9–60.0313%21 Oct →
nuke9–20.0323%21 Oct →
anubis13–10-0.0121%19 Oct →
ancient13–7-0.026%18 Oct →
inferno3–13-0.0416%18 Oct →
nuke6–9-0.150%18 Oct →
nuke8–8-0.032%18 Oct →
nuke9–30.0514%18 Oct →
nuke15–15-0.0212%17 Oct →
mirage11–13-0.0210%15 Oct →
inferno13–60.0713%15 Oct →
mirage4–13-0.0514%15 Oct →
dust212–160.0312%14 Oct →
office13–5-0.047%9 Oct →
train13–70.0420%8 Oct →
train8–13-0.018%7 Oct →
office13–7-0.0013%5 Oct →
office6–13-0.043%5 Oct →
dust216–13-0.0413%30 Sept →
anubis13–90.0112%28 Sept →
dust215–150.0110%25 Sept →
office12–12-0.010%24 Sept →
vertigo12–12-0.057%23 Sept →
vertigo13–00.0020%23 Sept →
ancient12–160.005%23 Sept →
inferno13–90.077%22 Sept →
ancient7–13-0.058%22 Sept →
mirage7–130.019%21 Sept →
dust213–7-0.029%21 Sept →
nuke7–9-0.0219%20 Sept →
nuke9–20.1917%19 Sept →
nuke9–10.1515%19 Sept →
nuke9–10.106%19 Sept →
nuke9–20.0617%19 Sept →
nuke0–13-0.0611%19 Sept →
anubis7–13-0.065%18 Sept →
dust213–10-0.0215%18 Sept →
nuke13–70.0211%17 Sept →
anubis7–130.012%17 Sept →
office8–13-0.046%16 Sept →
office10–13-0.0611%16 Sept →
nuke8–8-0.0822%15 Sept →
nuke9–10.1611%15 Sept →
nuke7–9-0.1411%15 Sept →
office13–70.0612%12 Sept →
office8–13-0.007%12 Sept →
cache17–190.028%11 Sept →
mirage13–8-0.0511%11 Sept →
nuke13–7-0.025%11 Sept →
mirage13–3-0.034%11 Sept →
office13–70.1413%10 Sept →
inferno6–13-0.0110%10 Sept →
nuke4–13-0.0419%10 Sept →
cache8–13-0.069%9 Sept →
inferno13–10.057%9 Sept →
office13–9-0.018%9 Sept →
office13–50.0210%9 Sept →
office12–12-0.0319%7 Sept →
office13–60.029%2 Sept →
office10–13-0.0112%2 Sept →
mirage8–13-0.0418%13 Aug →
dust24–13-0.0717%13 Aug →
nuke9–13-0.117%11 Aug →
inferno13–70.0116%11 Aug →
nuke13–5-0.058%11 Aug →
nuke5–9-0.115%6 Aug →
nuke9–00.188%6 Aug →
nuke9–2-0.1113%6 Aug →
nuke9–60.0121%6 Aug →
nuke9–30.0410%6 Aug →
dust213–10-0.037%6 Aug →
mirage2–13-0.047%6 Aug →
nuke9–6-0.074%5 Aug →
nuke9–10.130%5 Aug →
nuke9–5-0.077%5 Aug →
nuke9–3-0.008%5 Aug →
nuke9–4-0.040%5 Aug →
nuke9–13-0.0424%5 Aug →
anubis13–2-0.025%5 Aug →
nuke13–110.006%5 Aug →
inferno13–6-0.0317%5 Aug →
ancient8–130.1017%5 Aug →
inferno10–130.0516%5 Aug →
dust215–15-0.0212%3 Aug →
nuke2–13-0.0612%3 Aug →
nuke13–70.0411%2 Aug →
inferno14–12-0.038%2 Aug →
dust214–160.0217%31 Jul →
nuke13–6-0.0013%31 Jul →
dust213–5-0.013%28 Jul →
dust213–6-0.068%28 Jul →
mirage8–13-0.0615%27 Jul →
anubis13–3-0.0110%27 Jul →
dust213–11-0.078%27 Jul →
nuke15–15-0.0510%24 Jul →
anubis8–13-0.0413%24 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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