Bob Bumble Bee

Bob Bumble Bee — CS2 Stats

CZ76561199583247734[U:1:1622982006]Steam profile ↗✓ No bans

1,329Tracked matches58%Win rate2024Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating21,877Top 50% of 175,286 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)
CSDB Leaderboard#50598 of 220704 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 33 days played since 16 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,877 +4,369 23 Jul9 Sept · 23 days played
17,50821,988peak 21,98823 Jul9 Sept
21,988Peak Premier in tracked matches
33Days played since 2026-07-16

Premier CS Rating

  • 111 below peak (21,988)
  • +3,242 over 30 days · improving
  • Next: Red band at 25,000 3,123 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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.

Share this profile

CSDB.GGBob Bumble BeePREMIER21,877 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning38
Utility7

0–100 skill scores via Leetify.

Recent form

HOT54406Last 10054%Win rateWTLLWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · −0.1pp headshot accuracy · −48ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 221 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 514ms

Last 10

  • 721 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 8%
  • Avg reaction 456ms

Last 20

  • 1163 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 8%
  • Avg reaction 479ms

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 PlayerPositioning stands above the rest of this profile (+2.5 against its own average).

Aim7.9
Utility0.7
Positioning3.8
Opening Duels0.7
Clutch0.0

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 72% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; 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 41 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.

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

Aim7.9
Positioning3.8
Utility0.7
Mechanics7.3
Opening Duels0.7
Win Impact7.6

Composite 5.3/10 (Developing), 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+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time533ms−97ms
first ⅓ avg 631ms → last ⅓ avg 533ms
Headshot accuracy9.1%−5.1%
first ⅓ avg 14.2% → last ⅓ avg 9.1%

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

0.14Best match rating · 13–10 · dust2, 3 Sept
41%Best headshot accuracy · 13–10 · dust2, 23 Jul
234msFastest reaction time · 13–4 · inferno, 3 Sept
13–2Biggest win · nuke, 24 Aug

Across the last 100 tracked matches.

Highlights

9Longest win streak
94In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 82% over 11trainWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A138562%0.02
overpassB126650%0.01
anubisC125742%-0.02
nukeA127558%-0.00
ancientS119282%0.01
infernoC114736%-0.04
mirageS96367%-0.02
cacheS75271%-0.05
trainD62433%-0.01
vertigo31233%-0.02
fachwerk21150%0.00
italy1010%0.01
office1010%0.06

Across the last 100 tracked matches.

Faceit stats

Combat

2Matches
50%Win rate
0.31Avg K/D
40.5ADR
27%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21100%0.214.0
Anubis10%0.417.0

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.

8.8%Headshot accuracy
39.9%Accuracy (enemy spotted)
39.3%Spray accuracy
82.9%Counter-strafing
8.2°Preaim
524msReaction time
25.1%T opening success
35.6%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
6.07HE damage / grenade
0.05Flashes / 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. 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 8.8233% — below the 15% mark we flag

    Aim Training
  2. 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
  3. 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 25.0795% — below the 40% mark we flag

Spend your practice time on Train

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

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
overpass13–40.016%12 Sept
dust212–12-0.0111%12 Sept
anubis11–13-0.038%9 Sept
train7–13-0.0010%7 Sept
ancient13–30.099%7 Sept
nuke13–50.078%6 Sept
dust213–50.1011%6 Sept
anubis13–110.066%6 Sept
dust29–30.090%6 Sept
dust213–100.1411%3 Sept
inferno13–40.036%3 Sept
ancient13–80.097%3 Sept
mirage13–11-0.037%3 Sept
nuke10–130.019%2 Sept
ancient3–13-0.045%28 Aug
inferno5–13-0.068%28 Aug
mirage13–4-0.049%25 Aug
overpass12–120.1214%24 Aug
vertigo3–13-0.048%24 Aug
anubis15–15-0.068%24 Aug
anubis12–12-0.0111%24 Aug
anubis0–5-0.019%24 Aug
nuke13–20.0313%24 Aug
dust21–13-0.0521%23 Aug
cache13–11-0.040%23 Aug
train13–40.064%23 Aug
nuke5–130.0011%22 Aug
inferno4–13-0.048%22 Aug
nuke13–4-0.0213%22 Aug
dust21–9-0.0718%22 Aug
train13–100.0014%22 Aug
overpass13–7-0.0510%22 Aug
cache13–11-0.028%21 Aug
anubis13–50.035%21 Aug
mirage8–13-0.0923%21 Aug
ancient16–140.0011%21 Aug
ancient16–14-0.025%21 Aug
overpass4–13-0.034%20 Aug
nuke13–50.0812%20 Aug
mirage2–13-0.0817%20 Aug
overpass13–90.0216%19 Aug
overpass13–2-0.009%18 Aug
anubis7–13-0.0629%18 Aug
inferno4–13-0.0429%18 Aug
mirage13–4-0.0523%18 Aug
mirage13–90.0230%17 Aug
nuke6–13-0.0311%17 Aug
overpass10–13-0.0114%17 Aug
mirage13–70.0113%17 Aug
inferno9–13-0.0613%16 Aug
ancient13–2-0.0124%16 Aug
train10–13-0.0216%16 Aug
dust213–6-0.0311%15 Aug
overpass12–120.038%15 Aug
cache10–13-0.038%14 Aug
inferno13–9-0.0511%14 Aug
ancient13–7-0.0417%14 Aug
inferno13–8-0.0213%14 Aug
mirage13–60.0220%14 Aug
dust213–60.0119%13 Aug
overpass11–13-0.0218%13 Aug
anubis9–13-0.0514%13 Aug
ancient13–60.044%12 Aug
nuke13–80.0114%10 Aug
anubis13–80.019%10 Aug
anubis13–6-0.049%10 Aug
inferno13–11-0.044%4 Aug
cache13–9-0.057%4 Aug
nuke7–13-0.073%3 Aug
ancient6–130.0319%3 Aug
dust210–13-0.065%3 Aug
vertigo13–10-0.008%1 Aug
ancient13–110.0316%1 Aug
nuke13–10-0.0416%30 Jul
train11–13-0.0326%30 Jul
overpass1–80.0712%27 Jul
italy9–130.0112%24 Jul
train12–12-0.0415%24 Jul
anubis13–2-0.034%24 Jul
inferno9–13-0.0812%24 Jul
dust213–10-0.0241%23 Jul
nuke0–4-0.050%23 Jul
inferno10–13-0.027%23 Jul
ancient13–4-0.060%23 Jul
overpass13–50.029%21 Jul
fachwerk13–90.0122%21 Jul
fachwerk5–13-0.0015%21 Jul
vertigo6–13-0.0315%21 Jul
inferno8–13-0.0311%21 Jul
anubis8–13-0.049%21 Jul
cache6–13-0.128%20 Jul
dust29–13-0.045%20 Jul
mirage11–130.0327%19 Jul
dust213–70.1024%19 Jul
cache13–8-0.0335%19 Jul
office9–130.0640%19 Jul
dust213–50.0522%19 Jul
cache16–14-0.0413%19 Jul
overpass13–9-0.047%16 Jul
nuke13–9-0.015%16 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 →