AZZA — CS2 Stats

76561198090580173[U:1:130314445]Steam profile ↗✓ No bans

1,143Tracked matches38%Win rate2020Tracked since

4,339Hours in CS11Hrs last 2 wks

CSDB Rating4.7 DevelopingHybrid Rifler

FaceitLevel 8 · 1,706 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim60

Positioning60

Utility54

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLLLLTLWLLW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.0

Aggression8.3

Utility5.4

Positioning6.0

Opening Duels3.3

Clutch3.2

Strong CT-side opener

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 b1t 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim6.0

Positioning6.0

Utility5.4

Mechanics4.7

Opening Duels3.3

Win Impact1.0

Composite 4.7/10 (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 rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time586ms−32ms

first ⅓ avg 618ms → last ⅓ avg 586ms

Headshot accuracy14.1%−2.3%

first ⅓ avg 16.4% → last ⅓ avg 14.1%

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.

Highlights

0.17Best rating — cache_b 13–9

13–1Biggest win — nuke

9Longest win streak

L4Current streak

15–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 76% over 25mirageWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	25	19–6	76%	0.03
inferno	B	23	11–12	48%	0.01
ancient	C	13	5–8	38%	-0.00
dust2	C	9	4–5	44%	0.00
mirage	D	7	2–5	29%	-0.01
anubis	D	7	2–5	29%	-0.01
overpass	C	7	3–4	43%	0.01
cache	—	4	0–4	0%	0.02
vertigo	—	2	1–1	50%	0.01
cache_b	—	2	2–0	100%	0.12
train	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

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

Lifetime stats

70,878Lifetime kills

0.89K/D

3,399Matches

34.8%Match win rate

41.8%Headshot %

8.2%Shot accuracy

5,757MVPs

1,405Hours (in match)

3,720Bombs planted

664Bombs defused

Most-used weapons

AK-4725,733

M4A4 / M4A1-S16,457

AWP8,428

Desert Eagle3,315

P2000 / USP-S2,920

Glock-182,248

Knife1,508

MP91,386

AUG1,382

Galil AR1,333

Lifetime map wins

4,744inferno

3,814nuke

3,394dust2

1,918vertigo

1,593train

47cbble

15office

13italy

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

Faceit stats

Combat

870Matches

51%Win rate

1.02Avg K/D

80.4ADR

34%Headshot %

Clutches & streaks

36%1v1 clutch win

40%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	63	44%	1.11	15.4
Anubis	61	56%	1.20	16.6
Inferno	53	47%	1.21	16.1
Ancient	52	56%	1.18	17.5
Nuke	38	61%	1.08	15.7
Vertigo	36	64%	1.24	15.3
Dust2	16	50%	0.96	14.6
Overpass	12	67%	0.93	12.1

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.

14.7%Headshot accuracy

37.5%Accuracy (enemy spotted)

41.3%Spray accuracy

71.3%Counter-strafing

11.7°Preaim

590msReaction time

34.5%T opening success

51.8%CT opening success

0.49Enemies flashed / flash

7.2%Flash assists

6.06HE damage / grenade

13.21Flashes / 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 14.6729% — below the 15% mark we flag
Aim Training →
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 0.4867 — 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 34.4579% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	7–13	-0.09	22%	22 Aug →
inferno	11–13	0.01	22%	22 Aug →
cache	9–13	0.04	19%	22 Aug →
nuke	7–13	0.01	14%	22 Aug →
nuke	15–15	0.04	8%	19 Aug →
inferno	4–13	-0.02	7%	19 Aug →
inferno	13–8	0.03	21%	14 Aug →
anubis	8–13	-0.04	14%	14 Aug →
nuke	11–13	0.01	7%	7 Aug →
dust2	13–10	-0.02	10%	1 Aug →
dust2	9–13	-0.05	24%	1 Aug →
ancient	8–13	-0.03	14%	1 Aug →
inferno	11–13	-0.00	9%	30 Jul →
nuke	6–13	-0.02	24%	30 Jul →
inferno	13–3	0.03	5%	29 Jul →
mirage	5–13	-0.00	20%	29 Jul →
inferno	11–13	0.01	14%	25 Jul →
ancient	13–11	0.05	20%	24 Jul →
nuke	13–9	0.05	25%	24 Jul →
dust2	7–13	0.02	16%	24 Jul →
inferno	9–13	0.02	6%	24 Jul →
inferno	7–13	0.01	15%	18 Jul →
nuke	13–7	0.11	14%	18 Jul →
overpass	16–14	0.04	12%	18 Jul →
ancient	13–11	0.03	9%	17 Jul →
cache	4–13	-0.03	13%	17 Jul →
anubis	13–10	-0.08	11%	17 Jul →
inferno	13–11	-0.01	6%	9 Jul →
ancient	13–10	0.00	18%	9 Jul →
cache	7–13	0.00	25%	9 Jul →
nuke	13–6	0.01	4%	9 Jul →
nuke	13–9	0.04	4%	8 Jul →
inferno	13–9	0.04	11%	8 Jul →
nuke	16–14	0.00	13%	8 Jul →
inferno	13–10	-0.01	8%	4 Jul →
overpass	13–2	0.05	11%	4 Jul →
nuke	10–13	0.08	20%	4 Jul →
inferno	13–11	0.00	14%	3 Jul →
anubis	11–13	0.00	18%	3 Jul →
ancient	8–13	-0.06	17%	3 Jul →
mirage	7–13	-0.03	16%	3 Jul →
ancient	5–13	-0.09	14%	3 Jul →
nuke	13–6	0.04	6%	19 Jun →
inferno	7–13	-0.03	16%	19 Jun →
train	9–13	-0.05	12%	19 Jun →
inferno	15–15	-0.01	12%	6 Jun →
overpass	9–13	-0.02	13%	4 Jun →
anubis	5–13	-0.03	15%	30 May →
vertigo	10–13	-0.02	23%	30 May →
nuke	13–7	0.03	22%	24 May →
inferno	14–16	0.02	13%	22 May →
nuke	10–13	0.01	10%	22 May →
mirage	4–13	-0.02	14%	22 May →
dust2	13–11	0.01	11%	22 May →
ancient	13–16	-0.03	13%	18 May →
inferno	13–11	0.10	12%	15 May →
anubis	11–13	0.09	13%	14 May →
ancient	6–13	-0.06	12%	14 May →
overpass	8–13	-0.03	18%	14 May →
inferno	8–13	-0.08	21%	14 May →
dust2	13–2	0.12	14%	11 May →
ancient	7–13	0.03	20%	11 May →
dust2	2–13	-0.02	14%	9 May →
ancient	13–16	-0.01	19%	9 May →
inferno	13–5	0.05	18%	9 May →
ancient	16–14	0.06	15%	8 May →
nuke	13–1	0.12	21%	8 May →
overpass	1–13	-0.03	32%	8 May →
nuke	13–7	-0.08	13%	8 May →
cache	17–19	0.07	8%	2 May →
inferno	13–3	0.04	9%	2 May →
mirage	10–13	-0.06	2%	2 May →
vertigo	13–5	0.04	16%	2 May →
mirage	12–3	0.02	14%	1 May →
dust2	10–13	0.01	13%	1 May →
mirage	13–11	0.08	19%	28 Apr →
nuke	13–5	0.11	19%	24 Apr →
cache_b	13–9	0.17	23%	24 Apr →
nuke	13–11	-0.06	20%	24 Apr →
nuke	13–9	0.05	13%	18 Apr →
nuke	13–11	0.03	17%	18 Apr →
nuke	13–7	0.04	6%	17 Apr →
cache_b	13–11	0.07	11%	17 Apr →
nuke	13–8	0.03	17%	17 Apr →
inferno	5–13	-0.03	21%	15 Apr →
dust2	16–12	-0.01	17%	15 Apr →
inferno	13–4	0.01	14%	10 Apr →
nuke	13–4	0.04	21%	10 Apr →
dust2	4–13	-0.03	20%	10 Apr →
anubis	13–5	-0.01	40%	10 Apr →
anubis	19–22	-0.01	14%	10 Apr →
ancient	13–4	0.02	17%	4 Apr →
overpass	16–14	0.06	19%	4 Apr →
nuke	13–8	-0.00	18%	4 Apr →
nuke	13–7	0.01	15%	4 Apr →
overpass	10–13	0.02	17%	3 Apr →
ancient	9–13	0.04	21%	3 Apr →
inferno	13–11	0.01	13%	3 Apr →
nuke	13–7	0.04	12%	3 Apr →
inferno	11–13	0.03	9%	2 Apr →