kuba. #fighting patriarchy

kuba. #fighting patriarchy — CS2 Stats

AF76561198147725543[U:1:187459815]Steam profile ↗✓ No bans

2,544Tracked matches67%Win rate2020Tracked since
4,699Hours in CS12Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating24,999Top 25% of 213,740 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#22904 of 260211 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (yesterday). 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: 24,999 -390 14 Aug – 6 Nov · 18 days played
24,31425,389peak 25,38914 Aug6 Nov
Faceit ELO: 2,064 +0 28 Aug – 22 Sept · 6 observations
2,0642,064peak 2,06428 Aug22 Sept
25,505Peak Premier in tracked matches
2,064Highest Faceit ELO seen on CSDB
32Days played since 2026-08-11

Premier CS Rating

  • 390 below peak (25,389)
  • -390 over 90 days
  • Next: Red band at 25,000 — 1 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

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.

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 rate42.1%46.9%49.3%7.1% short
Shot accuracy13.1%13.0%13.4%meets
Kill/death ratio1.261.081.12above
Match win rate53.6%46.7%48.5%above

This profile matches the typical Red band player on 3 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.GGkuba. #fighting patriarchyPREMIER24,999 · Pink bandPEAK ELO2,064csdb.gg/stats

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Performance scores

Aim81
Positioning55
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY60–36–4Last 10060%Win rateWWWLLLLLWW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +3.3pp headshot accuracy · −11ms reaction

Win rate down 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 505ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 511ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 516ms

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 (+1.9 against its own average).

Aim8.1
Utility3.7
Positioning5.5
Opening Duels1.9
Clutch3.4

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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.1
Positioning5.5
Utility3.7
Mechanics7.0
Opening Duels2.9
Win Impact10.0

Composite 6.6/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time547ms−26ms
first ⅓ avg 573ms → last ⅓ avg 547ms
Headshot accuracy15.2%−2.8%
first ⅓ avg 17.9% → last ⅓ avg 15.2%

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

0.25Best match rating · 13–3 · nuke, 28 Aug →
33%Best headshot accuracy · 13–8 · nuke, 21 Sept →
375msFastest reaction time · 5–1 · mirage, 7 Oct →
13–1Biggest win · nuke, 6 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W3Current streak
10–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeS5136–1571%0.05
mirageC187–1139%-0.01
dust2D72–529%-0.03
anubisS54–180%0.00
inferno—31–233%-0.02
ancient—30–30%-0.02
cache—33–0100%-0.01
train—32–167%-0.03
office—31–233%-0.01
overpass—22–0100%-0.00
vertigo—11–0100%0.09
boulder—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,630Lifetime kills
1.26K/D · Top 25% of Pink band
6,463Matches
53.6%Match win rate · Top 10% of Pink band
42.1%Headshot %
13.1%Shot accuracy · Top 50% of Pink band
19,972MVPs
2,417Hours (in match)
5,834Bombs planted
1,920Bombs defused

Most-used weapons

AK-4734,922
AWP17,208
SSG 088,105
Knife3,210
MAC-102,882
MAG-72,875

Lifetime map wins

22,188nuke
8,982dust2
3,102inferno
2,261train
1,545vertigo
1,024office
539lake
491cbble

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

Faceit stats

Combat

358Matches
58%Win rate
1.32Avg K/D
97.2ADR
40%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7559%1.5719.0
Nuke3468%1.6819.7
Anubis2273%1.4717.6
Dust22050%1.3519.6
Ancient1953%1.5422.4
Vertigo1464%1.4518.2
Inferno1050%1.6021.0
Overpass875%1.6821.0

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.

15.9%Headshot accuracy
36.8%Accuracy (enemy spotted)
37.6%Spray accuracy
81.4%Counter-strafing
8.1°Preaim
529msReaction time
44.7%T opening success
38.1%CT opening success
0.58Enemies flashed / flash
2.8%Flash assists
10.49HE damage / grenade
2.55Flashes / 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. Grenades & Utility

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

    Flashes per match 2.5486 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.1078% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0019%6 Nov →
dust213–20.0816%6 Nov →
anubis16–12-0.0523%6 Nov →
nuke8–13-0.0121%6 Nov →
inferno10–13-0.0417%6 Nov →
nuke1–5-0.0514%5 Nov →
ancient11–13-0.0115%5 Nov →
nuke10–130.0224%31 Oct →
nuke7–10.1713%30 Oct →
nuke13–100.038%30 Oct →
nuke11–13-0.0117%30 Oct →
dust25–13-0.0514%29 Oct →
anubis16–140.0219%29 Oct →
mirage11–13-0.0416%29 Oct →
cache13–70.0313%7 Oct →
mirage5–10.058%7 Oct →
dust213–11-0.0220%7 Oct →
mirage13–5-0.0116%7 Oct →
mirage4–2-0.040%7 Oct →
inferno13–10-0.0115%7 Oct →
nuke13–20.0519%7 Oct →
vertigo13–80.0916%6 Oct →
nuke13–80.0213%6 Oct →
nuke13–40.057%6 Oct →
nuke13–110.0312%6 Oct →
mirage6–13-0.1019%6 Oct →
nuke3–130.0615%6 Oct →
mirage13–10-0.0111%6 Oct →
nuke13–10.1715%6 Oct →
nuke13–10-0.0216%6 Oct →
nuke13–80.0616%6 Oct →
nuke13–80.0324%5 Oct →
nuke13–50.018%5 Oct →
nuke13–40.1614%3 Oct →
nuke13–100.1217%3 Oct →
nuke13–50.0930%3 Oct →
mirage11–130.0214%2 Oct →
mirage10–130.0815%27 Sept →
nuke9–130.0214%26 Sept →
nuke13–70.0816%26 Sept →
mirage13–11-0.0315%21 Sept →
dust22–13-0.0612%21 Sept →
nuke13–80.0333%21 Sept →
nuke13–11-0.029%21 Sept →
nuke6–130.0810%21 Sept →
nuke13–20.1021%21 Sept →
nuke8–130.0016%20 Sept →
nuke13–70.0114%16 Sept →
nuke4–13-0.0914%16 Sept →
nuke13–20.1615%16 Sept →
ancient4–130.0118%14 Sept →
nuke13–110.0415%14 Sept →
mirage5–130.0120%13 Sept →
nuke13–50.0716%13 Sept →
inferno12–12-0.0013%13 Sept →
cache13–8-0.0323%13 Sept →
nuke13–20.0110%12 Sept →
nuke16–120.0916%12 Sept →
train13–8-0.0310%12 Sept →
overpass13–20.0124%12 Sept →
anubis13–30.1022%12 Sept →
nuke13–4-0.0212%12 Sept →
nuke13–60.0925%12 Sept →
anubis8–13-0.0817%12 Sept →
boulder13–110.0227%12 Sept →
office8–13-0.0122%11 Sept →
overpass12–4-0.0213%4 Sept →
dust23–13-0.0621%4 Sept →
mirage12–120.1115%4 Sept →
office13–90.0421%4 Sept →
nuke8–130.0621%4 Sept →
nuke11–130.0519%2 Sept →
office4–13-0.0516%29 Aug →
dust29–13-0.1017%29 Aug →
nuke13–50.0410%29 Aug →
nuke13–30.2526%28 Aug →
nuke5–13-0.0813%28 Aug →
nuke13–40.1020%28 Aug →
nuke13–50.0913%27 Aug →
dust23–13-0.0114%27 Aug →
nuke13–80.1727%26 Aug →
nuke13–60.0414%26 Aug →
mirage1–13-0.080%26 Aug →
anubis16–140.0318%25 Aug →
mirage7–13-0.0215%25 Aug →
mirage1–5-0.0530%25 Aug →
ancient9–13-0.0420%21 Aug →
nuke12–120.0628%21 Aug →
mirage13–50.0327%21 Aug →
mirage8–13-0.026%19 Aug →
nuke12–120.0713%16 Aug →
nuke13–70.0217%16 Aug →
train2–13-0.0915%16 Aug →
train13–70.0420%16 Aug →
nuke9–30.0525%16 Aug →
nuke9–130.0731%15 Aug →
mirage12–16-0.0216%14 Aug →
cache13–11-0.0224%14 Aug →
nuke13–100.027%14 Aug →
nuke13–90.0816%11 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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