Blankebab™

Blankebab™ — CS2 Stats

DK76561198279175679[U:1:318909951]Steam profile ↗✓ No bans

2,562Tracked matches60%Win rate2020Tracked since
5,015Hours in CS19Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,671 → 2,671
+66Tracked matches · now 2,562
0.0ppWin rate · 60.0% → 60.0%

Rating over time

Premier CS Rating: 22,734 +3,510 7 Jan – 18 Jan · 6 days played
19,22422,734peak 22,7347 Jan18 Jan
Faceit ELO: 2,671 +0 30 Aug – 4 Sept · 3 observations
2,6712,671peak 2,67130 Aug4 Sept
22,734Peak Premier in tracked matches
2,671Highest Faceit ELO seen on CSDB
56Days played since 2025-10-12

Faceit ELO

  • At peak — 2,671
  • Next: 3,000 ELO at 3,000 — 329 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-30
  • Level 10 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.GGBlankebab™PEAK ELO2,671csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86
Positioning50
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateLLWLWLWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · −70ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 450ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 483ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 518ms

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 Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim8.6
Utility3.5
Positioning5.0
Opening Duels1.4
Clutch3.6

Sharp aimerStrong CT-side openerLimited 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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 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.

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning5.0
Utility3.5
Mechanics8.0
Opening Duels1.7
Win Impact8.3

Composite 6.4/10 (Solid), 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 rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time530ms−98ms
first ⅓ avg 628ms → last ⅓ avg 530ms
Headshot accuracy26.1%+1.0%
first ⅓ avg 25.1% → last ⅓ avg 26.1%

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

0.19Best match rating · 9–0 · vertigo, 7 Nov →
53%Best headshot accuracy · 13–9 · inferno, 7 Jan →
391msFastest reaction time · 11–13 · cache, 16 Aug →
13–2Biggest win · ancient, 6 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
12–11In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 74% over 23overpassWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
ancientS3022–873%-0.01
mirageS2317–674%-0.01
anubisC94–544%-0.02
infernoD93–633%-0.02
nukeA74–357%-0.02
overpassD72–529%-0.02
train—42–250%-0.02
dust2—42–250%-0.03
vertigo—32–167%0.04
office—21–150%-0.00
cache—10–10%0.10
palacio—10–10%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

215,347Lifetime kills
0.98K/D
7,872Matches
45.3%Match win rate · Top 50% of tracked players
51.3%Headshot % · Top 25% of tracked players
6.3%Shot accuracy
30,523MVPs
3,812Hours (in match)
5,275Bombs planted
7,158Bombs defused

Most-used weapons

AK-4781,947
AWP22,802
FAMAS4,626
P2503,582
Knife2,778

Lifetime map wins

12,166dust2
7,370inferno
4,961vertigo
1,715lake
1,499nuke
1,275train
405cbble
266office

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

Faceit stats

Combat

2,125Matches
52%Win rate
1.01Avg K/D
77.0ADR
53%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient48860%1.1116.6
Anubis43954%1.0015.0
Mirage38547%1.0015.3
Inferno19943%0.9614.4
Vertigo19057%0.9714.8
Dust216645%0.9815.3
Nuke8546%0.9714.8
Train4941%1.0416.2

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.

25.6%Headshot accuracy
35.5%Accuracy (enemy spotted)
33.8%Spray accuracy
85.9%Counter-strafing
9.2°Preaim
526msReaction time
24.5%T opening success
43.7%CT opening success
0.39Enemies flashed / flash
4.2%Flash assists
5.44HE damage / grenade
4.17Flashes / 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 0.3887 — 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 24.4657% — below the 40% mark we flag

Spend your practice time on Overpass

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.1022%16 Aug →
ancient14–16-0.0231%17 Jul →
anubis13–11-0.0634%7 Jun →
ancient4–13-0.0325%4 Jun →
anubis13–3-0.0235%30 May →
anubis11–130.0114%29 May →
ancient13–7-0.0023%29 May →
ancient16–140.0027%29 May →
ancient13–6-0.0033%17 May →
ancient13–11-0.0318%17 May →
mirage6–130.0252%17 May →
anubis14–16-0.0317%2 May →
ancient13–110.0327%1 May →
anubis11–130.0024%1 May →
ancient13–2-0.0420%6 Apr →
anubis6–13-0.0128%5 Apr →
inferno10–13-0.0538%4 Apr →
nuke10–13-0.0227%4 Apr →
mirage13–5-0.0720%4 Apr →
ancient13–60.0217%4 Apr →
anubis16–14-0.0718%4 Apr →
overpass8–13-0.0135%4 Apr →
ancient13–40.0639%4 Apr →
mirage13–9-0.0221%3 Apr →
overpass16–13-0.0124%3 Apr →
nuke13–10-0.0131%3 Apr →
anubis16–12-0.0016%3 Apr →
overpass11–130.0319%3 Apr →
ancient13–100.0121%3 Apr →
overpass13–8-0.0723%3 Apr →
inferno13–10-0.0227%3 Apr →
ancient16–12-0.0519%2 Apr →
vertigo2–9-0.1636%8 Mar →
nuke8–13-0.0329%28 Feb →
inferno10–13-0.0619%27 Feb →
mirage4–13-0.0727%26 Feb →
ancient13–10-0.0134%22 Feb →
mirage13–7-0.0127%22 Feb →
mirage13–60.0226%18 Feb →
mirage16–13-0.0125%15 Feb →
ancient13–20.0325%15 Feb →
overpass10–13-0.0320%15 Feb →
ancient13–10-0.0516%14 Feb →
ancient8–13-0.0729%1 Feb →
anubis17–19-0.0313%31 Jan →
mirage13–16-0.0231%25 Jan →
ancient13–110.0228%18 Jan →
train13–90.0729%18 Jan →
ancient13–100.0031%18 Jan →
ancient11–130.0332%17 Jan →
mirage4–13-0.0025%17 Jan →
inferno13–90.0124%17 Jan →
ancient13–30.0230%17 Jan →
mirage9–13-0.0430%16 Jan →
inferno14–160.0035%16 Jan →
ancient13–11-0.0230%13 Jan →
mirage13–8-0.0229%13 Jan →
mirage13–9-0.0325%11 Jan →
inferno13–90.1353%7 Jan →
mirage13–20.1427%7 Jan →
inferno15–150.0130%5 Jan →
mirage19–170.0125%2 Jan →
ancient13–90.0419%1 Jan →
inferno8–13-0.0633%1 Jan →
dust212–16-0.0425%31 Dec →
dust213–9-0.0425%31 Dec →
dust216–14-0.0227%31 Dec →
train9–13-0.0533%29 Dec →
mirage13–30.0527%29 Dec →
overpass6–13-0.0428%28 Dec →
ancient14–16-0.0624%28 Dec →
dust29–130.0029%28 Dec →
nuke13–40.0028%28 Dec →
mirage13–11-0.0413%24 Dec →
nuke10–13-0.0526%23 Dec →
mirage13–100.0224%21 Dec →
train13–11-0.0711%20 Dec →
mirage13–9-0.0033%13 Dec →
mirage11–7-0.0321%13 Dec →
nuke13–10-0.056%6 Dec →
nuke13–50.0317%5 Dec →
ancient7–13-0.0219%29 Nov →
mirage13–6-0.0234%22 Nov →
ancient13–9-0.0321%15 Nov →
overpass9–13-0.0519%15 Nov →
mirage13–10-0.0338%15 Nov →
train7–13-0.0332%15 Nov →
vertigo13–40.1031%11 Nov →
ancient13–110.0027%8 Nov →
mirage3–13-0.0715%8 Nov →
palacio10–13-0.0333%7 Nov →
office10–130.0235%7 Nov →
vertigo9–00.1925%7 Nov →
office13–6-0.0335%1 Nov →
ancient13–9-0.0020%28 Oct →
mirage13–60.0126%19 Oct →
inferno6–9-0.1627%17 Oct →
ancient13–60.0328%16 Oct →
ancient11–13-0.0221%12 Oct →
ancient9–13-0.0624%12 Oct →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 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.