Bikini Bottom Bandit

Bikini Bottom Bandit — CS2 Stats

US76561198442101399[U:1:481835671]Steam profile ↗✓ No bans

3,306Tracked matches52%Win rate2021Tracked since
3,675Hours in CS13Hrs last 2 wks
CSDB Rating6.1 SolidHybrid Rifler
Premier CS Rating18,275Purple band · top ~15.4% of ranked players (population est.)
CSDB Leaderboard#9214 of 17352 tracked
WingmanGold Nova Master
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 rate45.9%48.1%2.2% short
Shot accuracy10.6%12.9%2.3% short
Kill/death ratio1.071.08meets
Match win rate48.6%46.5%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGBikini Bottom BanditPREMIER18,275 · Purple bandcsdb.gg/stats

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Performance scores

Aim81
Positioning48
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY48457Last 10048%Win rateLLLWWWLLWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.1
Aggression6.1
Utility4.9
Positioning4.8
Opening Duels2.8
Clutch4.0

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Reaction time. 581ms 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

Aim8.1
Positioning4.8
Utility4.9
Mechanics7.4
Opening Duels2.8
Win Impact5.6

Composite 6.1/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time597ms−51ms
first ⅓ avg 648ms → last ⅓ avg 597ms
Headshot accuracy19.9%+0.7%
first ⅓ avg 19.2% → last ⅓ avg 19.9%

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

0.22Best rating — ancient 13–6
130Biggest win — mirage
7Longest win streak
L3Current streak
56In matches decided by ≤2 rounds
19Overtime games

Map breakdown

mirageBest map · 65% over 23cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageS2315865%0.01
dust2C1971237%-0.01
ancientB179853%0.01
nukeB126650%-0.00
cacheD103730%0.01
anubisC94544%-0.01
infernoB63350%0.01
vertigo2020%-0.01
train110100%0.10
overpass1010%0.04

Across the last 100 tracked matches.

Lifetime stats

98,735Lifetime kills
1.07K/D · Top 50% of tracked players
5,891Matches
48.6%Match win rate · Top 50% of tracked players
45.9%Headshot %
10.6%Shot accuracy
12,060MVPs
1,945Hours (in match)
3,785Bombs planted
960Bombs defused

Most-used weapons

AK-4733,310
MP93,878
Tec-92,364
FAMAS1,895
AWP1,648

Lifetime map wins

7,682inferno
5,192dust2
3,601vertigo
2,556nuke
703office
497train
343italy
309militia

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

Faceit stats

Combat

746Matches
49%Win rate
1.01Avg K/D
85.6ADR
49%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage24453%1.0717.1
Ancient15053%1.0417.1
Dust212644%0.9316.3
Inferno7145%0.9915.8
Anubis6745%0.9215.7
Overpass2850%1.0216.4
Nuke2642%0.9014.9
Vertigo1861%1.1717.8

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.

19.9%Headshot accuracy
37.4%Accuracy (enemy spotted)
39.4%Spray accuracy
83.4%Counter-strafing
9.1°Preaim
581msReaction time
34.4%T opening success
48.0%CT opening success
0.45Enemies flashed / flash
6.1%Flash assists
15.16HE damage / grenade
6.97Flashes / 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 0.4537 — 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 34.4338% — below the 40% mark we flag

Spend your practice time on Cache

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–16-0.0223%27 Aug
dust210–13-0.0118%27 Aug
dust212–16-0.0613%25 Aug
cache13–50.0424%24 Aug
nuke13–90.0118%23 Aug
dust216–140.0117%23 Aug
ancient3–13-0.0215%23 Aug
mirage6–13-0.0430%21 Aug
dust213–70.0527%21 Aug
mirage13–90.0617%21 Aug
ancient15–15-0.0217%21 Aug
mirage11–13-0.0113%20 Aug
inferno4–13-0.0421%19 Aug
ancient13–6-0.0019%19 Aug
inferno9–130.0129%19 Aug
mirage13–80.0523%18 Aug
dust213–40.0123%18 Aug
cache3–13-0.0128%18 Aug
train13–90.1031%18 Aug
mirage13–60.0114%13 Aug
dust210–13-0.0216%13 Aug
nuke8–13-0.0721%12 Aug
ancient13–80.0517%12 Aug
mirage8–13-0.0612%11 Aug
mirage13–40.0420%11 Aug
nuke13–80.0120%10 Aug
ancient13–80.0326%10 Aug
anubis13–8-0.069%9 Aug
anubis11–13-0.0230%8 Aug
mirage10–13-0.0117%8 Aug
mirage13–0-0.0024%8 Aug
ancient13–7-0.0510%8 Aug
mirage13–110.0518%6 Aug
vertigo9–13-0.0114%4 Aug
dust24–13-0.0713%4 Aug
anubis3–13-0.0413%4 Aug
mirage11–13-0.0217%1 Aug
nuke8–13-0.0714%1 Aug
ancient13–40.0913%1 Aug
cache9–13-0.0224%1 Aug
cache13–110.0111%1 Aug
overpass12–120.0416%31 Jul
vertigo7–13-0.0122%31 Jul
dust28–13-0.0213%31 Jul
nuke13–30.0616%31 Jul
dust213–110.0225%31 Jul
mirage13–70.0117%31 Jul
nuke13–4-0.0328%31 Jul
inferno13–80.0222%31 Jul
ancient16–13-0.0115%31 Jul
dust213–8-0.0017%31 Jul
nuke11–130.0333%31 Jul
nuke8–130.0029%31 Jul
ancient10–13-0.0217%31 Jul
mirage16–130.0325%30 Jul
cache4–13-0.0629%29 Jul
dust210–130.0113%29 Jul
nuke13–20.0042%29 Jul
dust25–13-0.0446%28 Jul
ancient13–10-0.0416%27 Jul
nuke14–160.0315%27 Jul
anubis12–16-0.036%27 Jul
dust213–6-0.0315%25 Jul
dust214–16-0.0431%25 Jul
anubis13–70.0529%24 Jul
dust213–70.0130%24 Jul
cache13–60.1325%24 Jul
anubis15–15-0.0614%24 Jul
dust215–15-0.0220%24 Jul
inferno13–50.0024%23 Jul
ancient9–13-0.0117%23 Jul
mirage4–13-0.0521%21 Jul
dust29–130.0230%21 Jul
nuke13–100.0422%21 Jul
cache9–130.0421%20 Jul
ancient6–130.0329%20 Jul
mirage16–12-0.0424%20 Jul
mirage13–70.0420%19 Jul
cache15–150.0112%19 Jul
anubis13–50.0312%19 Jul
ancient6–13-0.039%19 Jul
anubis13–90.0217%19 Jul
cache6–13-0.0723%19 Jul
mirage13–16-0.0118%18 Jul
nuke6–13-0.0210%17 Jul
inferno13–90.0127%17 Jul
ancient13–80.0619%16 Jul
ancient12–16-0.0112%16 Jul
mirage13–8-0.0213%16 Jul
mirage13–16-0.0116%16 Jul
cache9–13-0.0226%15 Jul
ancient13–60.2227%15 Jul
mirage16–14-0.0212%15 Jul
mirage13–70.0820%15 Jul
anubis15–15-0.0228%15 Jul
ancient2–13-0.075%10 Jul
mirage13–90.0319%10 Jul
dust210–13-0.0114%10 Jul
mirage13–90.0523%10 Jul
inferno15–150.0331%9 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 →