Habibi — CS2 Stats

76561198100518777[U:1:140253049]

838Tracked matches57%Win rate2020Tracked since

1,317Hours in CS2Hrs last 2 wks

CSDB Rating4.1 Developing

Premier CS Rating15,693Purple band · top ~25.6% of ranked players (population est.)

CSDB Leaderboard#19661 of 32931 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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.

Metric	This player	Level 2 median	Level 3 median	vs Level 3
Headshot rate	37.4%	42.1%	42.1%	4.7% short
Shot accuracy	17.5%	12.9%	12.1%	above
Kill/death ratio	0.83	1.00	0.99	0.16 short
Match win rate	42.3%	42.9%	43.9%	1.6% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim29

Positioning47

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLLWLWWWLWW

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

Player DNA

Aim2.9

Aggression3.3

Utility5.2

Positioning4.7

Opening Duels1.2

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

Plays most like NiKo 78% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 667ms 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

Aim2.9

Positioning4.7

Utility5.2

Mechanics4.1

Opening Duels1.8

Win Impact7.4

Composite 4.1/10 (Developing), 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 rating-0.04+0.01

first ⅓ avg -0.05 → last ⅓ avg -0.04

Reaction time667ms+4ms

first ⅓ avg 662ms → last ⅓ avg 667ms

Headshot accuracy13.3%−1.0%

first ⅓ avg 14.4% → last ⅓ avg 13.3%

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

0.07Best rating — inferno 13–6

13–1Biggest win — inferno

4Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 61% over 41nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	41	25–16	61%	-0.04
cache	C	27	12–15	44%	-0.03
nuke	D	7	2–5	29%	-0.07
dust2	D	6	2–4	33%	-0.06
ancient	D	6	2–4	33%	-0.06
overpass	—	4	2–2	50%	-0.08
vertigo	—	3	1–2	33%	-0.07
anubis	—	3	1–2	33%	-0.08
mirage	—	2	0–2	0%	-0.05
train	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

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

Lifetime stats

29,671Lifetime kills

0.83K/D

1,673Matches

42.3%Match win rate

37.4%Headshot %

17.5%Shot accuracy · Top 25% of Level 2 players

2,839MVPs

805Hours (in match)

1,494Bombs planted

304Bombs defused

Most-used weapons

AK-478,324

M4A4 / M4A1-S6,561

AWP2,186

P2000 / USP-S1,937

MAC-101,327

P901,141

MP91,080

Glock-181,077

Desert Eagle775

Galil AR668

Lifetime map wins

6,161inferno

2,762dust2

1,463vertigo

829train

704nuke

41lake

8bank

3aztec

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

Faceit stats

Combat

39Matches

49%Win rate

0.83Avg K/D

—ADR

33%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsWLWLW

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.

12.9%Headshot accuracy

30.8%Accuracy (enemy spotted)

30.7%Spray accuracy

68.4%Counter-strafing

12.0°Preaim

667msReaction time

25.7%T opening success

44.1%CT opening success

0.61Enemies flashed / flash

4.3%Flash assists

9.02HE damage / grenade

5.42Flashes / 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.

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 12.9023% — below the 15% mark we flag
Aim Training →
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 25.7422% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	-0.05	22%	26 Aug →
dust2	6–13	-0.09	20%	21 Aug →
cache	13–10	-0.05	11%	21 Aug →
nuke	2–13	-0.06	12%	21 Aug →
inferno	13–7	-0.01	12%	14 Aug →
inferno	13–10	-0.06	7%	13 Aug →
cache	13–9	-0.01	6%	1 Aug →
cache	4–13	-0.11	19%	29 Jul →
inferno	10–1	0.05	29%	16 Jul →
cache	13–10	-0.05	14%	16 Jul →
mirage	7–13	-0.10	13%	15 Jul →
cache	13–7	0.05	15%	14 Jul →
inferno	4–13	-0.07	7%	14 Jul →
inferno	13–8	0.04	10%	13 Jul →
inferno	13–4	-0.02	15%	12 Jul →
overpass	13–9	-0.03	8%	10 Jul →
cache	13–9	-0.01	9%	3 Jul →
inferno	9–13	-0.06	7%	3 Jul →
cache	13–6	-0.07	15%	1 Jul →
cache	13–6	-0.01	18%	30 Jun →
inferno	13–9	-0.00	16%	27 Jun →
dust2	12–12	-0.07	20%	27 Jun →
cache	12–7	-0.04	4%	27 Jun →
cache	6–13	-0.07	10%	25 Jun →
cache	12–12	-0.03	13%	23 Jun →
cache	13–10	-0.08	10%	4 Jun →
vertigo	7–13	-0.07	9%	3 Jun →
cache	7–13	-0.03	16%	3 Jun →
train	7–13	-0.10	16%	29 May →
cache	9–13	-0.00	14%	29 May →
inferno	12–12	-0.08	15%	28 May →
cache	13–9	-0.07	10%	27 May →
inferno	13–4	0.02	18%	27 May →
cache	13–7	-0.04	33%	27 May →
inferno	5–13	-0.05	10%	26 May →
inferno	9–13	-0.04	14%	26 May →
dust2	1–13	-0.03	26%	23 May →
cache	10–13	-0.09	7%	23 May →
cache	5–13	0.02	14%	23 May →
cache	13–11	-0.03	13%	22 May →
cache	12–12	-0.06	12%	22 May →
inferno	13–8	-0.02	34%	21 May →
cache	12–12	0.02	9%	21 May →
cache	11–13	0.01	11%	21 May →
cache	12–12	-0.01	13%	18 May →
inferno	8–13	-0.09	13%	8 May →
cache	12–12	-0.05	17%	8 May →
cache	10–13	-0.04	23%	5 May →
cache	11–13	-0.05	13%	5 May →
anubis	5–13	-0.12	16%	21 Feb →
inferno	13–1	0.05	32%	20 Feb →
vertigo	13–9	-0.04	15%	19 Feb →
inferno	11–13	-0.08	13%	19 Feb →
inferno	13–7	-0.08	13%	16 Feb →
ancient	13–9	-0.03	13%	16 Feb →
anubis	4–3	-0.05	0%	16 Feb →
inferno	13–10	0.02	14%	16 Feb →
ancient	14–16	-0.05	7%	16 Feb →
overpass	6–13	-0.09	15%	16 Feb →
inferno	11–13	-0.09	2%	16 Feb →
ancient	4–13	-0.06	10%	15 Feb →
dust2	13–10	-0.04	5%	15 Feb →
ancient	13–5	-0.07	9%	15 Feb →
inferno	7–13	-0.08	7%	14 Feb →
overpass	13–8	-0.13	3%	14 Feb →
inferno	13–10	-0.08	13%	11 Feb →
inferno	13–6	0.07	13%	11 Feb →
vertigo	10–13	-0.10	19%	8 Feb →
ancient	6–13	-0.04	10%	8 Feb →
inferno	13–11	-0.04	13%	7 Feb →
overpass	4–13	-0.06	8%	7 Feb →
mirage	10–13	-0.01	17%	2 Feb →
nuke	13–2	-0.06	13%	31 Jan →
inferno	13–6	-0.04	11%	31 Jan →
inferno	13–7	-0.01	12%	31 Jan →
inferno	13–4	-0.03	14%	30 Jan →
anubis	4–13	-0.07	27%	29 Jan →
nuke	7–13	-0.11	9%	29 Jan →
dust2	13–10	-0.10	13%	26 Jan →
inferno	13–7	-0.05	12%	22 Jan →
inferno	13–9	0.01	14%	17 Jan →
nuke	9–13	-0.06	17%	4 Jan →
nuke	3–7	-0.10	10%	26 Dec →
inferno	5–13	0.01	18%	15 Dec →
dust2	10–13	-0.03	23%	14 Dec →
inferno	13–11	-0.05	13%	11 Dec →
inferno	2–9	-0.06	9%	14 Nov →
ancient	3–13	-0.11	10%	14 Nov →
inferno	13–11	-0.12	7%	14 Nov →
inferno	11–13	-0.03	6%	31 Oct →
nuke	10–13	-0.05	23%	30 Oct →
inferno	4–13	-0.07	24%	24 Oct →
inferno	9–13	-0.02	24%	24 Oct →
inferno	13–11	-0.05	13%	19 Sept →
nuke	13–4	-0.02	15%	12 Aug →
inferno	13–3	-0.05	22%	19 Jul →
inferno	5–13	-0.12	18%	19 Jul →
inferno	13–6	-0.06	16%	26 Jun →
inferno	5–13	-0.07	0%	10 Jun →
inferno	13–10	-0.06	13%	10 Jun →