BLUBBLUUB

BLUBBLUUB — CS2 Stats

76561198016924759[U:1:56659031]Steam profile ↗

2,157Tracked matches52%Win rate2020Tracked since
5,105Hours in CS33Hrs last 2 wks
CSDB Rating4.1 Developing
Premier CS Rating15,750Purple band · top ~25.4% of ranked players (population est.)
CSDB Leaderboard#10138 of 16217 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 medianvs Pink band
Headshot rate35.9%48.1%12.2% short
Shot accuracy14.1%12.9%above
Kill/death ratio0.801.080.29 short
Match win rate41.5%46.5%5.0% short

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

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

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CSDB.GGBLUBBLUUBPREMIER15,750 · Purple bandcsdb.gg/stats

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Performance scores

Aim43
Positioning42
Utility58

0–100 skill scores via Leetify.

Recent form

HOT48457Last 10048%Win rateWTLLWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating

Player DNA

Aim4.3
Aggression3.5
Utility5.8
Positioning4.2
Opening Duels0.2
Clutch1.0

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 79% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim4.3
Positioning4.2
Utility5.8
Mechanics2.8
Opening Duels0.9
Win Impact5.6

Composite 4.1/10 (Developing), 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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time613ms−17ms
first ⅓ avg 630ms → last ⅓ avg 613ms
Headshot accuracy15.0%+1.4%
first ⅓ avg 13.6% → last ⅓ avg 15.0%

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

0.13Best rating — inferno 9–6
131Biggest win — inferno
6Longest win streak
127In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 67% over 9anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB28131546%-0.01
cacheA1810856%-0.02
dust2B157847%-0.00
ancientB115645%-0.01
mirageS96367%-0.01
anubisD93633%-0.05
nukeB84450%0.01
vertigo1010%-0.12
overpass1010%-0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,793Lifetime kills
0.80K/D
6,928Matches
41.5%Match win rate
35.9%Headshot %
14.1%Shot accuracy · Top 50% of tracked players
14,830MVPs
2,957Hours (in match)
8,494Bombs planted
1,321Bombs defused

Most-used weapons

AK-4722,456
AWP7,561
P905,114
MAC-102,811
P2502,668

Lifetime map wins

13,525cbble
11,832inferno
5,651dust2
5,518nuke
2,374vertigo
954train
211lake
189bank

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

Faceit stats

Combat

851Matches
50%Win rate
0.79Avg K/D
76.4ADR
36%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient9859%0.7813.9
Inferno8856%0.8915.0
Vertigo6854%0.9213.8
Anubis6038%0.7513.3
Mirage3231%0.6612.0
Dust22854%0.8213.7
Nuke2357%0.9114.9
Overpass560%0.9015.2

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.

14.5%Headshot accuracy
34.2%Accuracy (enemy spotted)
41.8%Spray accuracy
62.8%Counter-strafing
12.4°Preaim
622msReaction time
25.0%T opening success
36.8%CT opening success
0.55Enemies flashed / flash
5.1%Flash assists
10.39HE damage / grenade
7.78Flashes / 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 12.3816° — 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 14.4715% — below the 15% mark we flag

    Aim Training
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–80.1315%28 Aug
nuke15–15-0.009%28 Aug
nuke9–130.0414%28 Aug
ancient5–13-0.0419%25 Aug
dust213–11-0.0013%25 Aug
ancient13–80.0012%23 Aug
dust213–90.0516%23 Aug
cache13–10-0.015%23 Aug
dust213–50.0819%23 Aug
dust213–70.0115%21 Aug
inferno4–13-0.0418%21 Aug
cache9–13-0.0014%21 Aug
mirage13–7-0.0313%20 Aug
nuke9–50.0312%20 Aug
inferno9–50.0219%20 Aug
cache15–15-0.0413%18 Aug
nuke13–110.0218%18 Aug
anubis3–13-0.0717%18 Aug
anubis8–13-0.0413%17 Aug
cache5–13-0.077%17 Aug
inferno13–1-0.0131%17 Aug
inferno15–15-0.0510%17 Aug
nuke13–90.0710%17 Aug
nuke9–13-0.0718%17 Aug
inferno4–13-0.079%16 Aug
ancient4–13-0.0429%16 Aug
inferno13–10-0.0610%16 Aug
inferno13–11-0.0727%16 Aug
dust26–13-0.0710%16 Aug
dust27–13-0.0112%16 Aug
dust211–130.0422%15 Aug
cache13–11-0.0110%15 Aug
inferno13–50.0317%15 Aug
ancient15–150.0115%15 Aug
inferno9–13-0.0414%15 Aug
inferno10–13-0.0513%15 Aug
inferno15–15-0.0410%15 Aug
nuke4–13-0.0621%15 Aug
inferno11–130.0213%15 Aug
anubis15–150.0015%15 Aug
ancient13–70.0612%15 Aug
ancient7–130.0116%15 Aug
anubis13–8-0.0512%15 Aug
mirage13–40.058%15 Aug
ancient12–16-0.0711%12 Aug
cache13–100.0225%12 Aug
inferno8–13-0.0328%12 Aug
mirage9–13-0.0313%12 Aug
cache11–13-0.0312%10 Aug
cache13–80.019%10 Aug
inferno11–13-0.0111%10 Aug
ancient13–110.018%10 Aug
cache13–60.0112%10 Aug
cache5–13-0.0510%10 Aug
inferno13–11-0.0112%9 Aug
cache7–13-0.049%9 Aug
mirage13–100.0111%8 Aug
dust27–130.0214%7 Aug
dust213–40.0914%7 Aug
dust210–13-0.035%6 Aug
cache13–16-0.0423%6 Aug
inferno13–90.0113%6 Aug
mirage13–3-0.0114%6 Aug
cache10–130.0318%6 Aug
inferno13–90.0116%5 Aug
ancient7–13-0.059%5 Aug
inferno7–90.0618%5 Aug
nuke9–60.059%5 Aug
inferno9–13-0.0618%4 Aug
cache13–11-0.0414%4 Aug
inferno15–15-0.0014%2 Aug
inferno8–13-0.087%28 Jul
mirage13–11-0.058%28 Jul
dust213–50.0413%28 Jul
mirage4–13-0.0718%27 Jul
dust210–13-0.0414%27 Jul
mirage13–7-0.0010%27 Jul
vertigo6–9-0.1225%27 Jul
overpass2–9-0.1320%27 Jul
anubis7–13-0.0312%26 Jul
anubis6–13-0.1216%26 Jul
ancient13–7-0.0216%26 Jul
anubis2–13-0.0913%26 Jul
cache13–110.0119%26 Jul
inferno13–90.0213%26 Jul
inferno13–110.0114%26 Jul
inferno16–14-0.0211%26 Jul
inferno13–16-0.0415%25 Jul
anubis16–14-0.0412%25 Jul
cache13–70.0317%25 Jul
inferno11–13-0.0314%25 Jul
inferno9–60.136%25 Jul
mirage11–130.029%25 Jul
cache13–6-0.0716%25 Jul
dust27–13-0.0513%24 Jul
dust213–8-0.1012%24 Jul
cache16–13-0.0117%24 Jul
ancient13–10-0.0315%24 Jul
dust23–13-0.098%24 Jul
anubis13–9-0.019%23 Jul

Match data via Leetify.

Recent teammates

Milestones

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