Abdulmajid😘😝😭37 yo — CS2 Stats

SE76561198196636573[U:1:236370845]Steam profile ↗✓ No bans

865Tracked matches48%Win rate2020Tracked since

1,305Hours in CS

CSDB Rating5.0 DevelopingPositional Player

CSDB Leaderboard#228977 of 252124 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,863 → 1,863

+6Tracked matches · now 865

−6.9ppWin rate · 55.2% → 48.3%

Rating over time

Premier CS Rating: 20,111 -1,914 3 Jul – 5 Jul · 3 days played

Faceit ELO: 1,863 +0 30 Aug – 19 Sept · 2 observations

22,025Peak Premier in tracked matches

1,863Highest Faceit ELO seen on CSDB

28Days played since 2026-07-02

Faceit ELO

At peak — 1,863
Next: Level 10 at 2,001 — 138 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-30
Level 8 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.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	6	—	—
Win rate	50%	—	—
K/D	1.40	—	—
Headshot %	72%	—	—

Measured 13 Sep 2026 → 16 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.

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Performance scores

Aim74

Positioning51

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLLWWWLLLLW

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +12.4pp headshot accuracy · +34ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 27%
Avg reaction 642ms

Last 10

4–6 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 29%
Avg reaction 624ms

Last 20

11–9 · 55% win rate
Avg rating -0.01
Avg headshot accuracy 23%
Avg reaction 606ms

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 (+1.7 against its own average).

Aim7.4

Utility3.8

Positioning5.1

Opening Duels1.6

Clutch3.0

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

Plays most like ropz 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 589ms 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

Aim7.4

Positioning5.1

Utility3.8

Mechanics5.9

Opening Duels0.8

Win Impact4.4

Composite 5.0/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time599ms−55ms

first ⅓ avg 654ms → last ⅓ avg 599ms

Headshot accuracy21.4%+1.1%

first ⅓ avg 20.3% → last ⅓ avg 21.4%

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

0.16Best match rating · 13–4 · mirage, 3 Jul →

100%Best headshot accuracy · 0–4 · mirage, 30 Aug →

453msFastest reaction time · 13–5 · inferno, 31 Jul →

13–1Biggest win · ancient, 5 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L2Current streak

9–7In matches decided by ≤2 rounds

16Overtime games

Map breakdown

ancientBest map · 80% over 5dust2Weakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	11–11	50%	-0.01
anubis	A	21	13–8	62%	-0.00
mirage	B	15	7–8	47%	0.00
nuke	B	13	6–7	46%	0.00
cache	B	12	6–6	50%	0.02
dust2	D	7	1–6	14%	-0.05
overpass	C	5	2–3	40%	0.00
ancient	S	5	4–1	80%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,009Lifetime kills

1.06K/D · Top 50% of tracked players

2,846Matches

51.5%Match win rate · Top 25% of tracked players

51.7%Headshot % · Top 25% of tracked players

15.8%Shot accuracy · Top 25% of tracked players

7,109MVPs

1,305Hours (in match)

2,909Bombs planted

880Bombs defused

Most-used weapons

AK-4719,465

M4A4 / M4A1-S12,032

Desert Eagle4,535

P2000 / USP-S4,114

AWP3,148

Glock-182,742

P2501,259

Galil AR1,030

MP91,028

UMP-45942

Lifetime map wins

4,090dust2

4,046inferno

3,671nuke

1,131vertigo

571train

432cbble

64office

50lake

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

Faceit stats

Combat

389Matches

58%Win rate

1.08Avg K/D

80.5ADR

47%Headshot %

Clutches & streaks

35%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	58	53%	0.99	15.6
Nuke	47	62%	1.05	16.3
Anubis	40	52%	1.06	17.6
Cache	30	57%	1.15	17.3
Mirage	27	59%	1.12	15.9
Ancient	19	42%	1.14	15.2
Overpass	16	69%	1.09	14.7
Dust2	12	42%	0.80	12.4

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.

19.4%Headshot accuracy

37.3%Accuracy (enemy spotted)

40.8%Spray accuracy

76.6%Counter-strafing

10.3°Preaim

589msReaction time

31.8%T opening success

34.9%CT opening success

0.47Enemies flashed / flash

2.0%Flash assists

5.23HE damage / grenade

6.56Flashes / 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.

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 0.4654 — below the 0.5 mark we flag
Grenade Lineups →
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 31.7925% — below the 40% mark we flag

Spend your practice time on Dust 2

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	8–13	-0.01	21%	14 Oct →
mirage	1–9	-0.04	23%	10 Oct →
ancient	13–8	0.02	18%	7 Oct →
cache	13–2	0.13	41%	3 Oct →
nuke	13–11	0.07	32%	3 Oct →
anubis	8–13	-0.03	19%	19 Sept →
mirage	0–4	-0.04	100%	30 Aug →
inferno	13–16	-0.01	13%	8 Aug →
anubis	5–13	-0.04	13%	8 Aug →
mirage	13–6	-0.01	11%	6 Aug →
inferno	7–13	-0.07	23%	5 Aug →
dust2	10–13	-0.09	23%	4 Aug →
cache	12–16	-0.04	10%	4 Aug →
anubis	16–14	-0.06	12%	4 Aug →
ancient	16–14	0.03	14%	4 Aug →
mirage	25–22	0.00	19%	3 Aug →
anubis	13–6	0.06	19%	3 Aug →
mirage	13–7	-0.01	16%	3 Aug →
inferno	13–11	-0.03	22%	3 Aug →
mirage	13–10	0.04	10%	3 Aug →
nuke	15–15	0.01	25%	1 Aug →
cache	13–7	0.05	35%	1 Aug →
inferno	16–13	0.01	16%	31 Jul →
cache	2–13	0.00	20%	31 Jul →
inferno	13–5	0.01	27%	31 Jul →
nuke	7–13	-0.07	23%	31 Jul →
anubis	14–16	-0.00	19%	28 Jul →
anubis	13–16	0.02	19%	28 Jul →
dust2	2–13	-0.09	6%	28 Jul →
inferno	8–13	-0.02	14%	27 Jul →
anubis	13–8	-0.04	13%	27 Jul →
nuke	11–13	0.00	20%	27 Jul →
anubis	19–17	0.01	13%	27 Jul →
anubis	13–8	0.02	16%	24 Jul →
anubis	13–10	0.01	15%	21 Jul →
inferno	13–3	0.03	22%	21 Jul →
dust2	6–13	-0.10	19%	21 Jul →
inferno	5–13	-0.04	28%	21 Jul →
cache	13–7	0.00	16%	21 Jul →
mirage	13–10	0.06	13%	20 Jul →
anubis	13–6	-0.01	9%	20 Jul →
inferno	16–13	0.08	27%	20 Jul →
cache	8–13	0.05	18%	12 Jul →
inferno	13–8	0.06	12%	12 Jul →
dust2	13–3	-0.01	27%	12 Jul →
anubis	13–10	0.07	18%	12 Jul →
cache	9–13	0.05	22%	12 Jul →
inferno	13–11	-0.03	18%	12 Jul →
anubis	9–13	0.03	23%	12 Jul →
cache	13–5	0.06	19%	11 Jul →
inferno	9–13	-0.02	19%	11 Jul →
anubis	13–11	0.06	26%	11 Jul →
nuke	10–13	-0.01	21%	10 Jul →
cache	13–9	-0.06	23%	10 Jul →
inferno	13–5	0.00	14%	10 Jul →
inferno	6–13	-0.09	17%	9 Jul →
inferno	13–8	-0.03	14%	9 Jul →
dust2	8–13	-0.02	20%	9 Jul →
anubis	15–15	-0.05	35%	9 Jul →
mirage	6–13	-0.07	22%	9 Jul →
nuke	13–3	0.01	41%	9 Jul →
nuke	13–7	0.02	18%	7 Jul →
anubis	19–16	-0.02	5%	7 Jul →
cache	11–13	-0.03	22%	7 Jul →
anubis	7–13	-0.04	11%	7 Jul →
nuke	11–13	-0.05	30%	6 Jul →
anubis	13–6	0.00	18%	6 Jul →
cache	13–6	0.02	28%	6 Jul →
inferno	11–13	-0.03	13%	6 Jul →
anubis	11–13	-0.02	12%	6 Jul →
ancient	13–1	0.05	13%	5 Jul →
overpass	13–2	0.04	23%	5 Jul →
nuke	13–7	-0.03	15%	5 Jul →
mirage	10–13	0.02	23%	5 Jul →
nuke	13–6	0.03	29%	5 Jul →
mirage	13–10	-0.02	28%	5 Jul →
nuke	2–13	-0.04	38%	5 Jul →
inferno	9–13	0.01	13%	5 Jul →
dust2	10–13	0.03	22%	5 Jul →
overpass	13–11	-0.00	13%	5 Jul →
ancient	13–5	-0.01	26%	5 Jul →
inferno	10–13	-0.01	24%	5 Jul →
ancient	10–13	-0.01	22%	5 Jul →
nuke	13–9	0.03	17%	5 Jul →
anubis	13–7	-0.01	22%	4 Jul →
mirage	6–13	-0.08	21%	4 Jul →
mirage	10–13	-0.01	34%	4 Jul →
inferno	15–15	0.04	22%	4 Jul →
inferno	11–13	-0.06	19%	4 Jul →
dust2	7–13	-0.08	16%	4 Jul →
overpass	5–13	-0.01	9%	4 Jul →
overpass	12–16	-0.01	13%	4 Jul →
nuke	5–13	0.03	36%	4 Jul →
mirage	2–13	0.02	16%	4 Jul →
mirage	13–4	0.16	17%	3 Jul →
anubis	13–5	-0.00	19%	3 Jul →
inferno	13–11	0.02	17%	3 Jul →
mirage	13–16	0.02	19%	3 Jul →
cache	6–13	0.00	17%	2 Jul →
inferno	13–8	0.04	17%	2 Jul →