BABIBU

BABIBU — CS2 Stats

76561199235295427[U:1:1275029699]Steam profile ↗✓ No bans

249Tracked matches44%Win rate2025Tracked since
299Hours in CS20Hrs last 2 wks
CSDB Rating3.5 LearningSupport
Premier CS Rating6,354Light Blue band · top ~72.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 6,354 +23 5 Oct – 2 Nov · 8 days played
6,3318,283peak 8,2835 Oct2 Nov
8,283Peak Premier in tracked matches
27Days played since 2026-09-18

Premier CS Rating

  • 1,929 below peak (8,283)
  • +23 over 30 days · steady
  • Next: Blue band at 10,000 — 3,646 to go
  • Reached: Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate37.0%39.9%42.0%5.0% short
Shot accuracy2.9%7.0%9.6%6.7% short
Kill/death ratio0.970.920.98meets
Match win rate44.3%42.3%43.8%meets

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

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBABIBUPREMIER6,354 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning39
Utility55

0–100 skill scores via Leetify.

Recent form

COLD46–43–11Last 10046%Win rateWTLLLLTLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · −56ms reaction

Win rate down 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 558ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 541ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 570ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim4.8
Utility5.5
Positioning3.9
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.

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

b1t

Plays most like b1t 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.8
Positioning3.9
Utility5.5
Mechanics3.9
Opening Duels0.0
Win Impact3.1

Composite 3.5/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time574ms−30ms
first ⅓ avg 604ms → last ⅓ avg 574ms
Headshot accuracy10.1%+0.5%
first ⅓ avg 9.6% → last ⅓ avg 10.1%

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

0.11Best match rating · 13–7 · cache, 3 Oct →
23%Best headshot accuracy · 13–5 · dust2, 15 Oct →
422msFastest reaction time · 0–13 · dust2, 3 Nov →
13–0Biggest win · nuke, 18 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–2In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 80% over 10anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C198–1142%-0.01
infernoS1510–567%0.03
mirageD143–1121%-0.02
ancientD113–827%0.01
cacheS108–280%0.03
nukeS86–275%0.02
vertigoD72–529%-0.03
anubisD50–50%-0.01
officeA53–260%0.01
overpass—32–167%0.04
train—21–150%0.05
italy—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,994Lifetime kills
0.97K/D · Top 50% of Light Blue band
589Matches
44.3%Match win rate · Top 50% of Light Blue band
37.0%Headshot %
2.9%Shot accuracy
925MVPs
182Hours (in match)
472Bombs planted
97Bombs defused

Most-used weapons

Lifetime map wins

1,287dust2
401inferno
321nuke
248vertigo
225office
127italy
44train
14cbble

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

Skill profile

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

10.3%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.3%Spray accuracy
67.8%Counter-strafing
10.4°Preaim
566msReaction time
30.4%T opening success
29.6%CT opening success
0.62Enemies flashed / flash
4.0%Flash assists
6.41HE damage / grenade
10.77Flashes / 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 10.3493% — below the 15% mark we flag

    Aim Training →
  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 30.3658% — below the 40% mark we flag

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–60.0612%3 Nov →
mirage12–120.0515%3 Nov →
dust20–13-0.1012%3 Nov →
cache3–12-0.0113%3 Nov →
anubis8–130.056%3 Nov →
office9–130.019%3 Nov →
inferno12–12-0.034%3 Nov →
mirage3–13-0.0712%3 Nov →
ancient7–130.0111%2 Nov →
inferno13–30.0519%2 Nov →
cache13–11-0.0414%2 Nov →
inferno13–160.017%1 Nov →
dust213–70.0012%1 Nov →
office13–30.079%1 Nov →
office13–30.027%1 Nov →
dust20–9-0.0311%24 Oct →
ancient4–130.0414%24 Oct →
ancient3–110.0115%24 Oct →
nuke5–10.010%24 Oct →
dust25–130.0010%24 Oct →
dust213–6-0.036%23 Oct →
inferno2–13-0.0512%23 Oct →
office9–13-0.096%22 Oct →
ancient7–130.0411%22 Oct →
mirage11–130.018%22 Oct →
cache13–80.0912%22 Oct →
cache13–7-0.0316%22 Oct →
inferno13–40.0314%22 Oct →
overpass12–12-0.019%22 Oct →
inferno13–20.016%22 Oct →
dust213–7-0.057%20 Oct →
mirage13–5-0.028%20 Oct →
ancient13–2-0.028%20 Oct →
mirage5–13-0.0813%20 Oct →
inferno15–150.0313%19 Oct →
inferno13–70.099%19 Oct →
dust28–13-0.0415%19 Oct →
nuke13–40.0811%19 Oct →
mirage10–13-0.0211%19 Oct →
mirage9–13-0.058%19 Oct →
cache3–90.1114%19 Oct →
nuke13–00.0610%18 Oct →
mirage1–13-0.0612%18 Oct →
nuke13–7-0.038%18 Oct →
dust213–30.048%18 Oct →
cache9–20.0318%17 Oct →
office13–10.0410%17 Oct →
inferno13–30.098%17 Oct →
mirage13–100.0113%17 Oct →
dust25–130.0912%17 Oct →
vertigo13–10-0.055%16 Oct →
inferno10–130.0411%16 Oct →
vertigo10–130.0113%16 Oct →
dust213–50.0723%15 Oct →
dust25–13-0.0513%15 Oct →
mirage1–13-0.0316%15 Oct →
cache13–0-0.0110%15 Oct →
dust212–120.028%15 Oct →
vertigo13–11-0.029%14 Oct →
dust213–60.0121%14 Oct →
overpass13–70.0711%14 Oct →
ancient12–12-0.008%12 Oct →
anubis5–13-0.104%12 Oct →
train5–130.0313%12 Oct →
vertigo9–13-0.0713%11 Oct →
inferno13–7-0.0312%11 Oct →
inferno13–11-0.0412%7 Oct →
mirage10–130.0115%7 Oct →
train13–110.0710%7 Oct →
dust212–120.037%6 Oct →
mirage3–13-0.105%5 Oct →
mirage7–13-0.0110%5 Oct →
inferno13–20.045%5 Oct →
anubis8–13-0.004%5 Oct →
dust213–80.0214%4 Oct →
ancient13–60.1014%4 Oct →
dust25–13-0.0111%4 Oct →
ancient13–60.0311%4 Oct →
nuke13–100.0522%3 Oct →
italy12–12-0.029%3 Oct →
dust25–0-0.037%3 Oct →
ancient8–13-0.024%3 Oct →
anubis8–13-0.067%3 Oct →
mirage13–00.0214%3 Oct →
dust22–13-0.129%3 Oct →
cache13–70.1110%3 Oct →
cache13–70.021%3 Oct →
dust212–12-0.004%2 Oct →
nuke13–110.017%2 Oct →
overpass13–100.0511%2 Oct →
nuke12–12-0.039%2 Oct →
cache13–9-0.025%1 Oct →
anubis9–130.0512%30 Sept →
vertigo4–13-0.079%29 Sept →
nuke6–130.028%28 Sept →
vertigo11–13-0.007%28 Sept →
vertigo9–130.0215%28 Sept →
ancient8–13-0.059%21 Sept →
ancient12–12-0.0410%18 Sept →
inferno13–70.0820%18 Sept →

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.