bubs — CS2 Stats

76561199261011082[U:1:1300745354]✓ No bans

740Tracked matches31%Win rate2023Tracked since
CSDB Rating1.9 Learning
Premier CS Rating1,592Grey band · top ~93.2% of ranked players (population est.)
CSDB Leaderboard#24346 of 31007 tracked
Ladder ranks via Leetify

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CSDB.GGbubsPREMIER1,592 · Grey bandcsdb.gg/stats

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Performance scores

Aim21
Positioning42
Utility9

0–100 skill scores via Leetify.

Recent form

COLD30646Last 10030%Win rateWLLLLLLWLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim2.1
Aggression3.3
Utility0.9
Positioning4.2
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 64% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 648ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.1
Positioning4.2
Utility0.9
Mechanics3.4
Opening Duels0.2
Win Impact0.0

Composite 1.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time654ms−46ms
first ⅓ avg 700ms → last ⅓ avg 654ms
Headshot accuracy8.0%−0.3%
first ⅓ avg 8.3% → last ⅓ avg 8.0%

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.

Highlights

0.14Best rating — nuke 13–3
132Biggest win — nuke
3Longest win streak
108In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 48% over 23dust2Weakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
nukeB23111248%-0.00
ancientD1851328%-0.03
infernoC135838%-0.02
dust2D121118%-0.04
anubisD101910%-0.02
mirageD91811%-0.04
overpassC52340%-0.02
vertigo32167%-0.06
cache3030%0.01
train21150%-0.05
office21150%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

7.8%Headshot accuracy
29.3%Accuracy (enemy spotted)
32.4%Spray accuracy
65.2%Counter-strafing
12.2°Preaim
648msReaction time
24.5%T opening success
31.9%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
10.62HE damage / grenade
0.02Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1867° — above the 12° mark we flag

    Aim Training
  2. 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 7.8161% — below the 15% mark we flag

    Aim Training
  3. 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 — below the 0.5 mark we flag

    Grenade Lineups
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.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–90.008%29 Aug
anubis7–13-0.060%29 Aug
mirage3–13-0.0713%29 Aug
nuke11–130.0011%28 Aug
mirage7–13-0.093%14 Aug
ancient6–13-0.146%13 Aug
dust28–13-0.064%9 Aug
nuke9–00.023%9 Aug
anubis8–130.015%9 Aug
nuke13–30.148%9 Aug
mirage13–90.004%9 Aug
inferno16–140.067%9 Aug
mirage9–130.048%9 Aug
inferno9–13-0.067%8 Aug
ancient11–13-0.043%8 Aug
mirage5–13-0.034%8 Aug
vertigo11–13-0.087%8 Aug
nuke13–70.076%7 Aug
overpass12–120.0422%7 Aug
ancient13–110.013%6 Aug
anubis0–5-0.070%6 Aug
ancient9–13-0.0313%5 Aug
nuke13–20.083%5 Aug
ancient6–130.023%5 Aug
nuke4–130.0423%1 Aug
inferno3–13-0.104%1 Aug
dust210–13-0.0216%31 Jul
nuke8–130.0115%30 Jul
ancient9–13-0.019%28 Jul
nuke9–30.016%28 Jul
anubis13–6-0.0111%27 Jul
nuke13–11-0.0410%26 Jul
ancient9–130.0118%17 Jul
inferno13–10-0.0210%12 Jul
nuke5–13-0.056%12 Jul
ancient8–13-0.043%24 Jun
train12–12-0.069%19 Jun
dust27–13-0.0520%19 Jun
inferno11–130.0013%18 Jun
nuke13–11-0.017%18 Jun
dust216–14-0.007%17 Jun
nuke13–6-0.038%17 Jun
nuke8–13-0.027%15 Jun
dust24–130.019%15 Jun
cache7–130.044%26 May
cache3–130.058%25 May
nuke4–13-0.026%23 May
cache4–13-0.059%6 May
anubis1–13-0.0313%12 Apr
anubis4–13-0.083%10 Apr
inferno9–13-0.045%4 Apr
nuke13–7-0.027%4 Apr
ancient8–13-0.068%2 Apr
nuke13–5-0.0418%1 Apr
vertigo13–11-0.059%1 Apr
anubis12–12-0.0213%31 Mar
mirage10–13-0.074%21 Mar
ancient10–13-0.019%20 Mar
inferno13–9-0.078%20 Mar
office2–0-0.050%20 Mar
anubis11–130.039%14 Mar
anubis6–130.0913%14 Mar
office8–130.019%7 Mar
overpass7–130.0110%7 Mar
anubis1–13-0.0722%5 Mar
nuke13–7-0.057%3 Mar
ancient6–13-0.1213%21 Feb
ancient13–10-0.056%20 Feb
ancient5–130.0112%17 Feb
nuke12–12-0.068%12 Feb
mirage3–13-0.037%12 Feb
dust24–13-0.0711%5 Feb
vertigo13–10-0.0513%25 Jan
inferno10–13-0.0110%21 Jan
dust212–12-0.0112%21 Jan
inferno10–13-0.065%18 Jan
overpass13–80.027%14 Jan
nuke15–150.060%14 Jan
dust25–13-0.0513%9 Jan
ancient13–11-0.042%9 Jan
dust26–13-0.0117%16 Dec
train16–14-0.044%6 Dec
dust22–13-0.105%22 Nov
overpass4–13-0.093%22 Nov
nuke11–13-0.052%23 Oct
nuke4–13-0.0511%20 Oct
inferno4–13-0.067%17 Oct
dust23–13-0.0715%7 Oct
nuke8–130.0510%6 Oct
inferno14–16-0.014%2 Oct
ancient8–13-0.0114%1 Oct
inferno13–40.077%1 Oct
overpass13–11-0.106%30 Sept
nuke9–13-0.0610%29 Sept
dust25–13-0.0714%28 Sept
mirage11–13-0.085%25 Sept
mirage10–13-0.046%24 Sept
ancient3–13-0.079%23 Sept
ancient13–60.019%23 Sept
inferno13–80.0211%22 Sept

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 →