kubak

kubak — CS2 Stats

DE76561199160076186[U:1:1199810458]Steam profile ↗✓ No bans

292Tracked matches54%Win rate2022Tracked since
565Hours in CS
CSDB Rating5.6 SolidAll-Rounder
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,518 +3,021 20 Mar – 23 Apr · 22 days played
12,56320,259peak 20,25920 Mar23 Apr
20,259Peak Premier in tracked matches
70Days played since 2024-03-19

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 Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate45.6%44.8%45.7%meets
Shot accuracy14.2%12.4%12.7%above
Kill/death ratio0.961.031.050.09 short
Match win rate45.8%45.2%45.7%meets

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkubakFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning41
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateLWWWWWWLLL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +5.3pp headshot accuracy · −58ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 583ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 558ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 587ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.0
Utility3.9
Positioning4.1
Opening Duels2.7
Clutch3.8

Excellent counter-strafing

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

jL

Plays most like jL 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

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

Reaction time. 616ms 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

Aim7.0
Positioning4.1
Utility3.9
Mechanics8.6
Opening Duels2.3
Win Impact6.2

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time621ms−37ms
first ⅓ avg 657ms → last ⅓ avg 621ms
Headshot accuracy15.8%−0.9%
first ⅓ avg 16.6% → last ⅓ avg 15.8%

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

0.18Best match rating · 2–10 · nuke, 21 Mar →
60%Best headshot accuracy · 2–10 · nuke, 21 Mar →
438msFastest reaction time · 11–13 · vertigo, 12 Apr →
13–1Biggest win · ancient, 23 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 75% over 8nukeWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%-0.01
ancientA1710–759%-0.00
anubisB157–847%-0.02
nukeD144–1029%-0.01
vertigoC94–544%0.01
dust2S86–275%0.02
trainB84–450%0.01
overpass—30–30%-0.06
inferno—21–150%-0.05
cache—11–0100%-0.01
edin—11–0100%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,668Lifetime kills
0.96K/D
1,473Matches
45.8%Match win rate · Top 50% of Level 6 players
45.6%Headshot % · Top 50% of Level 6 players
14.2%Shot accuracy · Top 50% of Level 6 players
2,594MVPs
565Hours (in match)
759Bombs planted
406Bombs defused

Most-used weapons

AK-4710,299
AWP2,892
Knife845
MP9287

Lifetime map wins

1,226vertigo
960dust2
860nuke
527inferno
224train
70cbble
12stmarc
2safehouse

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

Faceit stats

Combat

146Matches
55%Win rate
1.03Avg K/D
84.9ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
30%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis2658%1.2315.8
Mirage2556%1.1316.7
Nuke1250%1.1617.5
Ancient1060%1.1718.3
Dust2683%1.4018.0
Vertigo250%0.769.0
Inferno20%0.7315.0

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.

16.0%Headshot accuracy
33.8%Accuracy (enemy spotted)
35.5%Spray accuracy
88.5%Counter-strafing
9.4°Preaim
616msReaction time
33.9%T opening success
44.7%CT opening success
0.47Enemies flashed / flash
8.8%Flash assists
4.63HE damage / grenade
9.33Flashes / 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

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

    Enemies flashed per flash 0.4672 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 33.8896% — below the 40% mark we flag

Spend your practice time on Nuke

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 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0212%12 Jul →
cache13–7-0.0115%7 May →
dust213–8-0.0421%23 Apr →
nuke16–13-0.0325%4 Apr →
dust213–110.0119%4 Apr →
mirage13–6-0.026%3 Apr →
anubis13–110.0315%3 Apr →
mirage11–130.0316%22 Mar →
nuke9–130.0925%21 Mar →
mirage7–13-0.0616%17 Mar →
ancient7–13-0.0617%14 Mar →
anubis9–130.014%13 Mar →
ancient13–6-0.0610%7 Mar →
overpass1–9-0.240%1 Mar →
nuke0–13-0.0713%22 Feb →
ancient16–14-0.0115%5 Feb →
nuke15–150.0216%5 Feb →
anubis13–7-0.059%5 Feb →
inferno13–60.0024%3 Feb →
mirage13–10-0.0410%3 Feb →
ancient13–11-0.0516%3 Feb →
mirage9–13-0.059%3 Feb →
nuke13–4-0.0125%3 Feb →
dust213–40.0423%2 Feb →
anubis15–15-0.0614%2 Feb →
nuke2–13-0.0322%14 Jan →
overpass10–130.0216%23 Oct →
mirage9–13-0.0243%10 Sept →
ancient13–9-0.0112%31 Aug →
anubis9–130.0311%31 Aug →
nuke4–13-0.0312%31 Aug →
dust213–90.0310%18 Apr →
ancient13–6-0.0121%4 Apr →
nuke3–130.0217%19 Mar →
anubis13–100.0112%17 Mar →
overpass6–130.0525%16 Mar →
dust213–40.0731%12 Mar →
dust212–120.0314%9 Mar →
anubis13–11-0.0319%8 Mar →
train13–7-0.0114%8 Mar →
anubis7–13-0.0223%7 Mar →
mirage8–13-0.0111%2 Mar →
nuke13–7-0.0512%2 Mar →
ancient13–11-0.0310%27 Feb →
train13–4-0.0117%24 Feb →
ancient13–10.087%23 Feb →
mirage13–40.0312%23 Feb →
train9–13-0.009%22 Feb →
ancient15–150.0217%20 Feb →
nuke13–60.0113%19 Feb →
inferno6–13-0.1018%19 Feb →
mirage11–13-0.0116%18 Feb →
vertigo10–130.0312%17 Feb →
dust213–40.0823%17 Feb →
vertigo13–110.0333%14 Feb →
anubis13–16-0.0515%10 Feb →
ancient12–12-0.076%9 Feb →
mirage13–40.0623%9 Feb →
mirage13–6-0.016%9 Feb →
ancient8–130.0516%1 Feb →
train4–13-0.049%8 Dec →
anubis13–90.0623%8 Dec →
vertigo15–15-0.0111%7 Dec →
edin13–100.0519%3 Dec →
train7–130.1116%3 Dec →
vertigo9–130.0725%30 Nov →
train8–130.0410%17 Nov →
mirage13–30.149%16 Nov →
train13–5-0.0012%14 Nov →
train13–3-0.0217%14 Nov →
mirage16–12-0.0510%13 Nov →
mirage15–15-0.0421%11 Nov →
ancient13–20.0413%11 Nov →
ancient11–130.0029%1 Nov →
nuke4–13-0.058%25 Oct →
ancient13–7-0.0310%26 Sept →
dust24–12-0.0325%2 May →
mirage10–13-0.134%1 May →
mirage1–8-0.0113%27 Apr →
anubis0–13-0.0636%20 Apr →
anubis13–40.0318%19 Apr →
vertigo5–13-0.0632%16 Apr →
mirage13–90.0724%15 Apr →
ancient11–130.0113%15 Apr →
ancient11–130.0314%13 Apr →
anubis13–4-0.018%13 Apr →
vertigo11–13-0.0410%12 Apr →
mirage12–12-0.0519%9 Apr →
mirage11–13-0.0722%4 Apr →
vertigo13–60.0111%4 Apr →
vertigo13–100.028%1 Apr →
vertigo13–70.0412%24 Mar →
mirage13–5-0.008%24 Mar →
anubis11–13-0.095%24 Mar →
nuke4–13-0.0920%24 Mar →
ancient9–00.0914%24 Mar →
nuke2–100.1860%21 Mar →
mirage13–8-0.017%21 Mar →
nuke6–13-0.0930%20 Mar →
anubis11–13-0.0511%19 Mar →

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 →

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