Habibi Blocksberg

Habibi Blocksberg — CS2 Stats

DE76561198061295126[U:1:101029398]Steam profile ↗✓ No bans

1,000Tracked matches53%Win rate2023Tracked since
529Hours in CS
CSDB Rating4.0 DevelopingSupport
Premier CS Rating12,385Blue band · top ~42.3% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (18 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.

Rating over time

Premier CS Rating: 12,385 +2,819 19 Apr – 13 Sept · 23 days played
8,04913,386peak 13,38619 Apr13 Sept
13,420Peak Premier in tracked matches
34Days played since 2026-04-19

Premier CS Rating

  • 1,001 below peak (13,386)
  • -134 over 30 days · steady
  • +3,505 over 90 days
  • Next: Purple band at 15,000 — 2,615 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches13——
Win rate38%——
K/D0.87——
Headshot %42%——

Measured 29 Aug 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.6%41.9%44.3%7.8% short
Shot accuracy0.4%9.6%11.9%11.5% short
Kill/death ratio0.860.981.030.17 short
Match win rate41.4%43.8%45.2%3.8% short

This profile sits below the typical Purple band player on every metric we can compare.

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

Share this profile

CSDB.GGHabibi BlocksbergPREMIER12,385 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning37
Utility38

0–100 skill scores via Leetify.

Recent form

COLD44–45–11Last 10044%Win rateLLTTLWWLWT

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −1.3pp headshot accuracy · −55ms 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 8%
  • Avg reaction 586ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 593ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 620ms

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 (+1.6 against its own average).

Aim4.6
Utility3.8
Positioning3.7
Opening Duels1.4
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

NiKo

Plays most like NiKo 85% 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. 663ms 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

Aim4.6
Positioning3.7
Utility3.8
Mechanics5.3
Opening Duels0.9
Win Impact6.1

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time633ms−61ms
first ⅓ avg 693ms → last ⅓ avg 633ms
Headshot accuracy11.4%−0.7%
first ⅓ avg 12.2% → last ⅓ avg 11.4%

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

0.34Best match rating · 9–0 · nuke, 3 Sept →
38%Best headshot accuracy · 6–13 · dust2, 11 Jun →
469msFastest reaction time · 9–13 · ancient, 3 Sept →
13–2Biggest win · anubis, 20 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB2914–1548%-0.04
dust2C218–1338%-0.04
infernoD132–1115%-0.07
mirageD103–730%-0.04
ancientA106–460%-0.05
cacheS64–267%-0.02
anubis—42–250%-0.02
overpass—22–0100%0.13
poseidon—10–10%-0.12
vertigo—10–10%-0.17
shelter—11–0100%-0.06
fachwerk—11–0100%-0.06
boulder—11–0100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,042Lifetime kills
0.86K/D
2,041Matches
41.4%Match win rate
36.6%Headshot %
0.4%Shot accuracy
4,424MVPs
529Hours (in match)
1,219Bombs planted
236Bombs defused

Most-used weapons

Lifetime map wins

2,779inferno
2,670nuke
1,783dust2
1,674vertigo
408train
180italy
140office
34ar_baggage

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

Faceit stats

Combat

3Matches
0%Win rate
0.53Avg K/D
61.3ADR
60%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.6511.0
Dust210%0.152.0
Anubis10%0.7814.0

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.

12.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
37.8%Spray accuracy
73.7%Counter-strafing
10.2°Preaim
663msReaction time
34.7%T opening success
32.6%CT opening success
0.50Enemies flashed / flash
5.2%Flash assists
8.61HE damage / grenade
3.18Flashes / 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 12.8062% — 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 0.4988 — 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 34.6802% — below the 40% mark we flag

Spend your practice time on Inferno

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0220%13 Sept →
inferno7–9-0.010%10 Sept →
inferno8–8-0.0814%10 Sept →
nuke8–8-0.053%10 Sept →
nuke3–9-0.275%10 Sept →
ancient13–10-0.0518%10 Sept →
ancient13–9-0.047%4 Sept →
ancient9–130.0111%3 Sept →
nuke9–6-0.0310%3 Sept →
nuke8–8-0.0320%3 Sept →
nuke9–00.3415%3 Sept →
nuke5–9-0.185%3 Sept →
overpass9–20.106%3 Sept →
nuke2–9-0.269%20 Aug →
nuke7–9-0.057%20 Aug →
nuke9–5-0.0418%20 Aug →
nuke9–3-0.0619%20 Aug →
anubis13–2-0.059%20 Aug →
mirage10–13-0.0314%20 Aug →
inferno13–7-0.0718%7 Aug →
nuke10–13-0.1011%7 Aug →
mirage4–130.0214%7 Aug →
poseidon5–9-0.1210%7 Aug →
vertigo2–9-0.170%7 Aug →
nuke13–11-0.0410%6 Aug →
dust25–13-0.1121%6 Aug →
dust213–3-0.027%6 Aug →
shelter13–11-0.0611%5 Aug →
fachwerk10–3-0.0617%5 Aug →
boulder13–10-0.067%5 Aug →
cache13–5-0.0012%5 Aug →
mirage13–7-0.0514%5 Aug →
dust211–13-0.0617%5 Aug →
dust26–13-0.047%31 Jul →
ancient8–13-0.0413%31 Jul →
ancient13–4-0.079%27 Jul →
nuke13–10-0.047%27 Jul →
dust213–16-0.0319%26 Jul →
nuke13–9-0.027%25 Jul →
nuke8–80.0325%21 Jul →
nuke7–9-0.005%21 Jul →
dust29–13-0.015%21 Jul →
inferno2–13-0.0613%21 Jul →
dust213–30.0513%19 Jul →
nuke7–13-0.0614%18 Jul →
ancient13–5-0.1020%18 Jul →
dust211–13-0.0018%18 Jul →
dust213–60.0215%18 Jul →
nuke13–4-0.033%18 Jul →
nuke13–9-0.0521%11 Jul →
dust28–13-0.0511%11 Jul →
inferno11–13-0.0516%9 Jul →
nuke13–8-0.025%9 Jul →
mirage13–7-0.047%9 Jul →
cache13–110.0112%9 Jul →
cache8–13-0.0713%8 Jul →
cache13–9-0.0619%8 Jul →
cache12–12-0.026%7 Jul →
inferno6–90.0312%6 Jul →
mirage13–10-0.046%6 Jul →
nuke15–15-0.0413%3 Jul →
dust29–13-0.106%1 Jul →
dust213–8-0.055%1 Jul →
mirage9–13-0.0215%1 Jul →
mirage7–13-0.109%29 Jun →
ancient15–15-0.069%29 Jun →
nuke8–8-0.0414%20 Jun →
inferno5–9-0.176%20 Jun →
inferno4–13-0.1010%20 Jun →
overpass9–20.153%12 Jun →
nuke9–6-0.0426%12 Jun →
inferno3–9-0.1416%12 Jun →
nuke9–30.0813%12 Jun →
dust213–11-0.0013%11 Jun →
anubis4–130.018%11 Jun →
anubis1–13-0.036%11 Jun →
nuke6–130.0117%11 Jun →
dust26–13-0.0538%11 Jun →
nuke3–9-0.216%21 May →
inferno8–8-0.086%21 May →
ancient13–8-0.0316%21 May →
anubis13–10-0.016%20 May →
dust26–13-0.076%11 May →
nuke8–80.0313%4 May →
cache13–20.0211%4 May →
inferno8–8-0.0426%25 Apr →
inferno9–4-0.0621%25 Apr →
dust24–13-0.100%25 Apr →
ancient13–4-0.0325%25 Apr →
mirage11–13-0.0413%25 Apr →
nuke13–7-0.034%25 Apr →
mirage9–13-0.055%22 Apr →
nuke13–11-0.025%20 Apr →
inferno8–13-0.0212%20 Apr →
dust20–13-0.1216%20 Apr →
dust213–40.009%20 Apr →
dust213–6-0.0319%20 Apr →
dust211–13-0.049%20 Apr →
ancient5–13-0.078%19 Apr →
dust213–9-0.069%19 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.