zyzz — CS2 Stats

76561198132665462[U:1:172399734]Steam profile ↗VAC banned

1,129Tracked matches69%Win rate2020Tracked since

6,367Hours in CS1Hrs last 2 wks

CSDB Rating7.3 StrongAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim88

Positioning68

Utility45

0–100 skill scores via Leetify.

Recent form

HOT63–32–5Last 10063%Win rateWWWLWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression9.5

Utility4.5

Positioning6.8

Opening Duels4.7

Clutch3.4

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.

Your pro match

Plays most like sh1ro 94% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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 88 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 60% on CT to 37% 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

Aim8.8

Positioning6.8

Utility4.5

Mechanics7.8

Opening Duels4.7

Win Impact10.0

Composite 7.3/10 (Strong), 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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time516ms−35ms

first ⅓ avg 550ms → last ⅓ avg 516ms

Headshot accuracy21.4%+2.9%

first ⅓ avg 18.5% → 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.

Highlights

0.13Best rating — overpass 13–1

13–0Biggest win — cache

15Longest win streak

W3Current streak

10–4In matches decided by ≤2 rounds

16Overtime games

Map breakdown

infernoBest map · 86% over 14trainWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
overpass	A	18	10–8	56%	0.02
ancient	A	16	10–6	63%	0.01
nuke	A	15	9–6	60%	0.02
mirage	A	14	8–6	57%	0.01
inferno	S	14	12–2	86%	0.03
cache	S	10	7–3	70%	0.03
train	D	5	1–4	20%	0.00
anubis	A	5	3–2	60%	0.02
dust2	—	3	3–0	100%	0.05

Across the last 100 tracked matches.

Lifetime stats

252,042Lifetime kills

1.59K/D · Top 5% of tracked players

9,092Matches

52.9%Match win rate · Top 10% of tracked players

40.7%Headshot %

19.3%Shot accuracy · Top 5% of tracked players

34,950MVPs

4,082Hours (in match)

19,282Bombs planted

6,874Bombs defused

Most-used weapons

AK-4789,766

AWP50,641

M4A4 / M4A1-S40,974

P2000 / USP-S12,814

Desert Eagle10,115

Glock-187,925

P2507,482

Tec-94,863

Knife4,268

Five-SeveN2,711

Lifetime map wins

15,193inferno

11,250dust2

7,541cbble

4,819nuke

3,687train

1,208vertigo

166lake

143office

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

Faceit stats

Combat

592Matches

57%Win rate

1.34Avg K/D

77.4ADR

38%Headshot %

Clutches & streaks

37%1v1 clutch win

29%1v2 clutch win

17Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Overpass	10	70%	1.68	13.9
Mirage	10	60%	1.33	16.8
Ancient	8	62%	1.49	13.4
Inferno	7	86%	1.31	15.6
Nuke	6	100%	1.39	16.8
Anubis	5	0%	0.94	15.0
Vertigo	2	50%	0.58	7.5
Dust2	1	100%	1.09	12.0

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.

21.6%Headshot accuracy

36.7%Accuracy (enemy spotted)

40.5%Spray accuracy

85.1%Counter-strafing

8.5°Preaim

527msReaction time

37.3%T opening success

60.4%CT opening success

0.56Enemies flashed / flash

5.1%Flash assists

7.54HE damage / grenade

3.12Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1248 — below the 4 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 37.2735% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
overpass	13–6	0.01	15%	29 Aug →
train	13–10	0.01	16%	29 Aug →
mirage	13–2	0.03	60%	7 Aug →
ancient	12–16	0.01	19%	7 Aug →
ancient	13–2	0.01	11%	26 Jun →
inferno	16–12	0.01	12%	26 Jun →
dust2	13–4	0.06	29%	26 Jun →
overpass	13–1	0.13	0%	26 Jun →
nuke	13–4	0.04	48%	26 Jun →
mirage	13–8	0.07	25%	24 Jun →
inferno	13–4	0.05	24%	18 Jun →
cache	13–8	0.06	20%	13 Jun →
cache	13–0	0.11	25%	13 Jun →
ancient	13–9	-0.02	27%	7 Jun →
mirage	0–4	-0.02	0%	5 Jun →
anubis	6–13	-0.05	8%	30 May →
overpass	16–13	0.03	17%	30 May →
nuke	13–4	0.01	14%	30 May →
ancient	11–13	-0.03	14%	25 May →
nuke	10–13	-0.01	19%	25 May →
anubis	13–11	0.09	27%	25 May →
overpass	4–13	-0.01	26%	25 May →
cache	10–13	-0.00	17%	21 May →
cache	8–1	-0.02	33%	21 May →
ancient	16–14	0.02	22%	20 May →
mirage	1–13	-0.01	14%	20 May →
cache	13–8	0.09	33%	20 May →
ancient	13–7	0.02	34%	18 May →
nuke	5–13	0.04	20%	18 May →
cache	12–12	0.03	17%	18 May →
cache	13–0	0.06	27%	18 May →
cache	12–12	0.05	21%	18 May →
cache	13–11	-0.02	11%	8 May →
nuke	6–13	-0.05	21%	4 May →
cache	13–6	-0.01	7%	4 May →
mirage	5–13	0.02	29%	18 Mar →
nuke	13–10	-0.01	18%	18 Mar →
overpass	15–15	0.02	20%	8 Mar →
anubis	8–13	-0.03	15%	8 Mar →
inferno	6–13	0.01	20%	9 Feb →
anubis	13–10	0.02	26%	9 Feb →
anubis	13–2	0.06	8%	7 Feb →
ancient	13–3	-0.04	7%	7 Feb →
overpass	8–13	0.05	25%	17 Jan →
ancient	13–4	0.06	17%	17 Jan →
train	10–13	-0.02	24%	17 Jan →
mirage	11–13	-0.01	23%	20 Dec →
inferno	13–5	0.06	26%	15 Dec →
mirage	11–13	-0.03	16%	15 Dec →
overpass	13–9	0.01	17%	28 Nov →
ancient	13–8	0.10	24%	28 Nov →
inferno	3–13	-0.02	11%	28 Nov →
ancient	13–5	0.10	31%	26 Nov →
overpass	13–2	0.07	40%	26 Nov →
nuke	13–7	-0.00	9%	26 Nov →
mirage	16–14	-0.00	16%	26 Nov →
mirage	13–1	0.06	14%	24 Nov →
nuke	16–14	-0.00	13%	24 Nov →
inferno	13–7	0.05	17%	24 Nov →
overpass	13–7	-0.02	15%	24 Nov →
inferno	16–13	-0.00	11%	24 Nov →
overpass	16–13	-0.01	15%	23 Nov →
ancient	13–3	0.05	12%	23 Nov →
mirage	13–11	-0.03	35%	23 Nov →
nuke	13–5	0.05	17%	23 Nov →
inferno	13–11	0.02	29%	23 Nov →
ancient	13–3	0.02	14%	22 Nov →
train	6–13	0.03	20%	20 Nov →
mirage	13–6	-0.02	14%	20 Nov →
ancient	6–13	-0.04	19%	20 Nov →
inferno	16–12	0.00	10%	20 Nov →
overpass	13–3	0.04	16%	20 Nov →
nuke	13–5	0.12	14%	20 Nov →
inferno	13–11	0.04	23%	8 Nov →
overpass	8–13	0.04	22%	8 Nov →
nuke	13–10	0.02	18%	8 Nov →
ancient	7–13	-0.04	11%	8 Nov →
overpass	12–16	-0.03	20%	3 Nov →
inferno	16–12	0.06	16%	2 Nov →
inferno	13–3	0.05	19%	1 Nov →
dust2	13–8	0.06	18%	1 Nov →
nuke	11–13	0.06	16%	1 Nov →
mirage	15–15	0.01	19%	29 Oct →
overpass	13–16	-0.03	14%	29 Oct →
ancient	5–13	-0.01	20%	29 Oct →
ancient	8–13	0.00	10%	27 Oct →
nuke	9–13	0.06	19%	27 Oct →
mirage	13–9	0.07	22%	26 Oct →
dust2	13–9	0.04	35%	26 Oct →
inferno	13–11	0.04	30%	26 Oct →
overpass	9–13	-0.02	19%	26 Oct →
nuke	7–13	-0.01	27%	25 Oct →
overpass	13–5	0.05	10%	25 Oct →
train	10–13	-0.00	20%	24 Oct →
nuke	13–10	-0.05	20%	24 Oct →
mirage	13–10	0.02	19%	24 Oct →
overpass	16–13	0.06	18%	23 Oct →
inferno	13–11	0.01	22%	23 Oct →
train	7–13	0.00	20%	20 Oct →
overpass	15–15	-0.03	11%	20 Oct →